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1. Uncertainties in the adaptation of alpine pastures to climate change based on remote sensing products and modelling

Author: L. Brilli, R. Martin, G. Argenti, M. Bassignana, M. Bindi, R. Bonet, P. Choler, E. Cremonese, M. Della Vedova, C. Dibari, G. Filippa, M. Galvagno, L. Leolini, M. Moriondo, A. Piccot, L. Stendardi, S. Targetti, G. Bellocchi, Institute for BioEconomy [Sesto Fiorentino] (IBE | CNR), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università degli Studi di Firenze = University of Florence (UniFI), Institut Agricole Régional, Partenaires INRAE, Parc national des Ecrins, Laboratoire Environnement de Conception & Architecture (LECA), Université Paris-Saclay-Département Systèmes et Circuits Intégrés Numériques (DSCIN), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), University of Bologna/Università di Bologna, and The present work was produced under the co-finance of the EC LIFE programme for the Environment and Climate Action (2014–2020) in the framework of the Project LIFE PASTORALP ‘Pastures vulnerability and adaptation strategies to climate change impacts in the Alps’ (LIFE16/CCA/IT/000060).
Subjects: Environmental Engineering, Alpine pastures, [SDE]Environmental Sciences, Climate change adaptation, General Medicine, Management, Monitoring, Policy and Law, Remote sensing, Waste Management and Disposal, Modelling
Abstract: International audience; Over the last century, the management of pastoral systems has undergone major changes to meet the livelihood needs of alpine communities. Faced with the changes induced by recent global warming, the ecological status of many pastoral systems has seriously deteriorated in the western alpine region. We assessed changes in pasture dynamics by integrating information from remote-sensing products and two process-based models, i.e. the grassland-specific, biogeochemical growth model PaSim and the generic crop-growth model DayCent. Meteo-rological observations and satellite-derived Normalised Difference Vegetation Index (NDVI) trajectories of three pasture macro-types (high, medium and low productivity classes) in two study areas -Parc National des ' Ecrins (PNE) in France and Parco Nazionale Gran Paradiso (PNGP) in Italy -were used as a basis for the model cali-bration work. The performance of the models was satisfactory in reproducing pasture production dynamics (R2 = 0.52 to 0.83). Projected changes in alpine pastures due to climate-change impacts and adaptation strategies indicate that: i) the length of the growing season is expected to increase between 15 and 40 days, resulting in changes in the timing and amount of biomass production, ii) summer water stress could limit pasture produc-tivity; iii) earlier onset of grazing could enhance pasture productivity; iv) higher livestock densities could in-crease the rate of biomass regrowth, but major uncertainties in modelling processes need to be considered; and v) the carbon sequestration potential of pastures could decrease under limited water availability and warming.
Published: 2023

2. Méthodes de suivi et d'évaluation de l'état hydromorphologique des lacs - Enquête européenne

Author: Argillier, Christine, Carriere, Alexandra, Poikane, Sandra, van de Bund, Wouter, Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), JRC Institute for the Protection and Security of the Citizen [Ispra] (IPSC), European Commission - Joint Research Centre [Ispra] (JRC), Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), and European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC)
Subjects: méthodes, lake processes, [SDE]Environmental Sciences, stressors, WFD, DCE, ECOSTAT, hydrology morphology
Abstract: EUR 31029 EN This publication is a Technical report by the Joint Research Centre (JRC), the European Commission's science and knowledge service. It aims to provide evidence-based scientific support to the European policymaking process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication. For information on the methodology and quality underlying the data used in this publication for which the source is neither Eurostat nor other Commission services, users should contact the referenced source. The designations employed and the presentation of material on the maps do not imply the expression of any opinion whatsoever on the part of the European Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.; International audience; The assessment of lake status in Europe has evolved during the last few decades from physico-chemical focused assessment to a more comprehensive ecological approach. The EC Water Framework Directive (WFD) requires the assessment of hydromorphological and physico-chemical conditions of lakes considered as supporting elements of the biological communities. The WFD describes the hydromorphology of lakes using quality elements belonging to the hydrological regime on the one hand and to morphological conditions on the other hand. A lake can achieve good ecological status only if the aforementioned quality elements correspond to natural conditions or deviate from them very slightly. Therefore, hydromorphological assessment is crucial for ecological status assessment. During summer 2020, an inventory of the HYMO assessment and monitoring methods currently implemented or under development in the different European countries for WFD implementation was conducted. This study summarises key information reported through the aforementioned inventory in order to get a comprehensive overview of the hydromorphological methods at the present time and to contribute to more common understanding of how hydromorphological conditions are defined and hydromorphological changes are characterised in different national contexts in Europe. The high response rate of the European survey makes it possible to provide a comprehensive overview of lake hydromorphological assessment and monitoring methods implemented or under development in the different European countries.Currently, 33 methods are applied or in development in 20 countries, 20 are currently assessment methods, 10 are monitoring methods and 3 methods will be replace by new protocols. This report gives also a basis to carry out future relevant good practices suitable with standards such as the water quality guidance standard on assessing the hydromorphological features of lakes – EN 16039:2011 and the water quality guidance standard on determining the degree of modification of lake hydromorphology – EN 16870:2017. Hydrological characteristics are relatively well taken into account by the different countries except the residence time although its evaluation is recommended in the EN 16039:2011 standard. Surface-groundwater interactions and stratification/mixing are also poorly taken into account in the different countries even though the interactions between surface water and groundwater are characterised in a majority of countries but not used to assess lake conditions. Morphological characteristics are also relatively well taken into account by the different countries, in particular lake depth variation, shape of the littoral zone and shore zone aquatic vegetation. Nevertheless, the planform pattern, substrate and aquatic vegetation in the open water are still poorly used to evaluate lake conditions although their evaluation is recommended in the EN 16039:2011 standard. All of the 20 current assessment methods use a scoring system which are mostly quantitative although the degree of confidence is still poorly included in the methods. However, the scoring system and the way in which class thresholds are defined remain to be specified by the different countries.Finally, two main hurdles remain; a methodological hurdle with the determination of reference conditions which is not clearly defined for many countries although this is essential when assessing lake conditions and a scientific hurdle with regard to the link with biology of the different hydromorphological assessment methods. In order to improve best practices and write recommendations further information is needed on how reference conditions and classification are undertaken at Member State level for assessing lake hydromorphology.
Published: 2022

3. Past and Future Grand Challenges in Marine Ecosystem Ecology

Author: Angel Borja, Jesper H. Andersen, Christos D. Arvanitidis, Alberto Basset, Lene Buhl-Mortensen, Susana Carvalho, Katherine A. Dafforn, Michelle J. Devlin, Elva G. Escobar-Briones, Christian Grenz, Tilmann Harder, Stelios Katsanevakis, Dongyan Liu, Anna Metaxas, Xosé Anxelu G. Morán, Alice Newton, Chiara Piroddi, Xavier Pochon, Ana M. Queirós, Paul V. R. Snelgrove, Cosimo Solidoro, Michael A. St. John, Heliana Teixeira, AZTI - Tecnalia, Institute of Food and Resource Economics [Copenhagen] (IFRO), Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Hellenic Center for Marine Research (HCMR), University of Salento [Lecce], Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB), King Abdullah University of Science and Technology (KAUST), Macquarie University, C2O Consulting, Universidad Nacional Autónoma de México (UNAM), Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), University of Bremen, Hellenic Centre for Marine Research (HCMR), East China Normal University [Shangaï] (ECNU), Dalhousie University [Halifax], Medio Marino, IEO Gijón-Xixón, Centre for Marine and Environmental Research [Faro] (CIMA), Universidade do Algarve (UAlg), Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Cawthron Institute, Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Memorial University of Newfoundland [St. John's], Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), Technical University of Denmark [Lyngby] (DTU), European Commission - Joint Research Centre [Ispra] (JRC), CESAM (UIDB/50017/2020+UIDP/50017/2020), Borja, A., Andersen, J. H., Arvanitidis, C. D., Basset, A., Buhl-Mortensen, L., Carvalho, S., Dafforn, K. A., Devlin, M. J., Escobar-Briones, E. G., Grenz, C., Harder, T., Katsanevakis, S., Liu, D., Metaxas, A., Moran, X. A. G., Newton, A., Piroddi, C., Pochon, X., Queiros, A. M., Snelgrove, P. V. R., Solidoro, C., S, t. John M. A., Teixeira, H., University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), and Danmarks Tekniske Universitet = Technical University of Denmark (DTU)
Subjects: 0106 biological sciences, lcsh:QH1-199.5, 010504 meteorology & atmospheric sciences, Ecology (disciplines), [SDE.MCG]Environmental Sciences/Global Changes, Ocean Engineering, ecosystem health assessment, lcsh:General. Including nature conservation, geographical distribution, Aquatic Science, Oceanography, 01 natural sciences, Ecosystem services, ecosystem-based management, SDG 3 - Good Health and Well-being, Political science, Marine ecosystem, SDG 14 - Life Below Water, 14. Life underwater, lcsh:Science, global change, 0105 earth and related environmental sciences, Water Science and Technology, Grand Challenges, biodiversity, Sustainable development, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Global and Planetary Change, Ecosystem health, Scope (project management), human pressures, 010604 marine biology & hydrobiology, Environmental ethics, 15. Life on land, Ecosystem-based management, [SDE.ES]Environmental Sciences/Environmental and Society, ecosystem service, 13. Climate action, [SDU]Sciences of the Universe [physics], ecosystem functioning, conservation and protection, lcsh:Q, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ecosystem services
Abstract: Frontiers in Marine Science launched the Marine Ecosystems Ecology (FMARS-MEE) section in 2014, with a paper that identified eight grand challenges for the discipline (Borja, 2014). Since then, this section has published a total of 370 papers, including 336 addressing aspects of those challenges. As editors of the journal, with a wide range of marine ecology expertise, we felt it was timely to evaluate research advances related to those challenges; and to update the scope of the section to reflect the grand challenges we envision for the next 10 years. This output will match with the United Nations (UN) Decade on Oceans Science for Sustainable Development (DOSSD; Claudet et al., 2020), UN Decade of Ecosystems Restoration (DER; Young and Schwartz, 2019), and the UN Sustainable Development Goals (SDGs; Visbeck et al., 2014). info:eu-repo/semantics/publishedVersion
Published: 2020

4. European anthropogenic AFOLU greenhouse gas emissions:a review and benchmark data

Author: Ana Bastos, Glen P. Peters, Philippe Ciais, Greet Janssens-Maenhout, Lena Höglund-Isaksson, Gema Carmona-Garcia, Adrian Leip, Efisio Solazzo, Mart-Jan Schelhaas, Gert-Jan Nabuurs, Roberto Pilli, Dirk Günther, Julia E. M. S. Nabel, Anja Kiesow, Giacomo Grassi, Robbie M. Andrew, Francesco N. Tubiello, Julia Pongratz, Giulia Conchedda, A. J. Dolman, Wilfried Winiwarter, A.M.R. Petrescu, Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Food and Agriculture Organization of the United Nations, Regional Office for the Near East and North Africa (FAO), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Team Vegetation Forest & Landscape Ecology, Wageningen University and Research [Wageningen] (WUR), Climate Change Unit [Ispra], European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), JRC Institute for Health and Consumer Protection (IHCP), Ludwig Maximilian University [Munich] (LMU), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, New Zealand Centre for Ecological Economics (NZCEE), Centre for Ecosystem Studies, ALTERRA, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Carnegie Institution for Science
Subjects: 010504 meteorology & atmospheric sciences, Natural resource economics, Bos- en Landschapsecologie, 010501 environmental sciences, 01 natural sciences, 7. Clean energy, 11. Sustainability, SDG 13 - Climate Action, media_common.cataloged_instance, Life Science, Forest and Landscape Ecology, Ecosystem, European union, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Vegetatie, lcsh:Environmental sciences, 0105 earth and related environmental sciences, media_common, lcsh:GE1-350, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Vegetation, Land use, lcsh:QE1-996.5, 15. Life on land, PE&RC, lcsh:Geology, 13. Climate action, Greenhouse gas, General Earth and Planetary Sciences, Environmental science, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, Benchmark data
Abstract: Emission of greenhouse gases (GHGs) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, including estimates of uncertainties, to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in the European Union (EU281). The data integrate recent AFOLU emission inventories with ecosystem data and land carbon models and summarize GHG emissions and removals over the period 1990-2016. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGIs), with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Whenever available, we present uncertainties, its propagation and role in the comparison of different estimates. While NGHGI data for the EU28 provide consistent quantification of uncertainty following the established IPCC Guidelines, uncertainty in the estimates produced with other methods needs to account for both within model uncertainty and the spread from different model results. The largest inconsistencies between EU28 estimates are mainly due to different sources of data related to human activity, referred to here as activity data (AD) and methodologies (tiers) used for calculating emissions and removals from AFOLU sectors. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.3662371 (Petrescu et al., 2020).
Published: 2020

5. Impacts of multiple stressors on freshwater biota across spatial scales and ecosystems

Author: Shenglan Lu, Kostas Stefanidis, Niina Kotamäki, Peeter Nõges, Christel Prudhomme, Jessica Richardson, Daniel Hering, Daniel Graeber, Laurence Carvalho, Steve J. Ormerod, Susanne C. Schneider, Markus Venohr, Katri Rankinen, José Maria Santos, Ralf B. Schäfer, Uğur Işkın, Stefan Auer, Jan U. Lemm, Anne Lyche Solheim, Ute Mischke, Wolfram Graf, Hans Estrup Andersen, Lidija Globevnik, S. Jannicke Moe, Fabien Cremona, Mark O. Gessner, Tiina Nõges, Peter C. von der Ohe, Lindsay F. Banin, Meryem Beklioglu, Marijn Kuijper, Stefan Schmutz, Geoff Phillips, Christian K. Feld, Marko Järvinen, Heidrun Feuchtmayr, Bernd Sures, Jenica Hanganu, Nigel Willby, M. Teresa Ferreira, Yiannis Panagopoulos, Leo Posthuma, Elisabeth Bondar-Kunze, Sebastian Birk, Rafaela Schinegger, María C. Uyarra, Pedro Segurado, Sarai Pouso, Bryan M. Spears, Erik Jeppesen, Lisa Schülting, Anthonie D. Buijse, Dick de Zwart, Alban Sagouis, Stephen J. Thackeray, Raoul-Marie Couture, Paulo Branco, Alexander Gieswein, Daniel S. Chapman, Jarno Turunen, Cayetano Gutiérrez-Cánovas, Tuba Bucak, Christine Argillier, Jes J. Rasmussen, Ángel Borja, Annette Baattrup-Pedersen, Ana Cristina Cardoso, Department of Aquatic Ecology and Centre for Water and Environmental Research (ZWU), Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Columbia University [New York], Centre for Ecology and Hydrology [Edinburgh] (CEH), Natural Environment Research Council (NERC), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), WasserCluster Lunz, Interuniversity Center for Aquatic Ecosystem Research, AZTI - Tecnalia, Deltares system, Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Department of Earth and Environmental Sciences [Waterloo], University of Waterloo [Waterloo], Centre de recherche sur la dynamique du système Terre (GEOTOP), École Polytechnique de Montréal (EPM)-McGill University = Université McGill [Montréal, Canada]-Université de Montréal (UdeM)-Université du Québec en Abitibi-Témiscamingue (UQAT)-Université du Québec à Rimouski (UQAR)-Concordia University [Montreal]-Université du Québec à Montréal = University of Québec in Montréal (UQAM), Lake Ecosystem Group, Centre for Ecology and Hydrology, Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB), Leibniz Association, Institute of Hydrobiology, « Danube Delta » National Institute for Research and Development [Tulcea], Dept Biosci, Aarhus University [Aarhus], Department of Ecohydrology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Estonian University of Life Sciences (EMU), Estonian University of Life Sciences, Inst Environm & Agr Sci, Ctr Limnol, Rannu, Tartu Country, Estonia, School of Biosciences [Cardiff], Cardiff University, National Ecology Technical Team, Partenaires INRAE, National Institute for Public Health and the Environment [Bilthoven] (RIVM), German Centre for Integrative Biodiversity Research (iDiv), Norwegian Institute for Water Research (NIVA), Universidade de Lisboa = University of Lisbon (ULISBOA), Institute of Computer Science [FORTH, Heraklion] (ICS-FORTH), Foundation for Research and Technology - Hellas (FORTH), Angewandte Zoologie/Hydrobiologie, Azti Tecnalia, Centro Tecnológico del Mar y los Alimentos (Marine Resarch Unit) (Azti), Biological and Environmental Sciences, University of Stirling, Universität Duisburg-Essen [Essen], Université de Montréal (UdeM)-McGill University = Université McGill [Montréal, Canada]-École Polytechnique de Montréal (EPM)-Concordia University [Montreal]-Université du Québec à Rimouski (UQAR)-Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université du Québec en Abitibi-Témiscamingue (UQAT), Universidade de Lisboa (ULISBOA), Institute of Computer Science (ICS-FORTH), University of Duisburg-Essen, Chair of Hydrobiology and Fishery. Institute of Agricultural and Environmental sciences, MARS project (Managing Aquatic Ecosystems and Water Resources under Multiple Stress) under the 7th EU Framework Programme, Theme 6 (Environment including Climate Change)603378, BIBS project, ILES project, and European Project: 603378,EC:FP7:ENV,FP7-ENV-2013-two-stage,MARS(2014)
Subjects: 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Drainage basin, Land management, Fresh Water, 010501 environmental sciences, water resources, 01 natural sciences, Freshwater ecosystem, Mesocosm, Nutrient, Rivers, Ecosystem, 14. Life underwater, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, geography, geography.geographical_feature_category, Ecology, freshwater ecology, Stressor, Biota, 15. Life on land, 6. Clean water, Europe, 13. Climate action, articles, Environmental science, Biologie, Environmental Sciences
Abstract: Climate and land-use change drive a suite of stressors that shape ecosystems and interact to yield complex ecological responses (that is, additive, antagonistic and synergistic effects). We know little about the spatial scales relevant for the outcomes of such interactions and little about effect sizes. These knowledge gaps need to be filled to underpin future land management decisions or climate mitigation interventions for protecting and restoring freshwater ecosystems. This study combines data across scales from 33 mesocosm experiments with those from 14 river basins and 22 cross-basin studies in Europe, producing 174 combinations of paired-stressor effects on a biological response variable. Generalized linear models showed that only one of the two stressors had a significant effect in 39% of the analysed cases, 28% of the paired-stressor combinations resulted in additive effects and 33% resulted in interactive (antagonistic, synergistic, opposing or reversal) effects. For lakes, the frequencies of additive and interactive effects were similar for all spatial scales addressed, while for rivers these frequencies increased with scale. Nutrient enrichment was the overriding stressor for lakes, with effects generally exceeding those of secondary stressors. For rivers, the effects of nutrient enrichment were dependent on the specific stressor combination and biological response vari- able. These results vindicate the traditional focus of lake restoration and management on nutrient stress, while highlighting that river management requires more bespoke management solutions. This work was supported by the MARS project (Managing Aquatic Ecosystems and Water Resources under Multiple Stress) funded under the 7th EU Framework Programme, Theme 6 (Environment including Climate Change), contract no. 603378 (http://www.mars-project.eu). Further support was received through the ILES (SAW- 2015-IGB-1) and BIBS (BMBF 01LC1501G) projects. Partner organizations provided 25% cofunding through their institutional budgets. We thank J. Strackbein, J. Lorenz and L. Mack for their support. This work was supported by the MARS project (Managing Aquatic Ecosystems and Water Resources under Multiple Stress) funded under the 7th EU Framework Programme, Theme 6 (Environment including Climate Change), contract no. 603378 (http://www.mars-project.eu). Further support was received through the ILES (SAW- 2015-IGB-1) and BIBS (BMBF 01LC1501G) projects. Partner organizations provided 25% cofunding through their institutional budgets. We thank J. Strackbein, J. Lorenz and L. Mack for their support.
Published: 2019

6. A comprehensive assessment of stream fragmentation in Great Britain

Author: Joshua Jones, Simone Bizzi, Barbara Belletti, James R. Kerr, Jeroen S. Tummers, Carlos Garcia de Leaniz, Sofia Consuegra, Luca Börger, Lucio Marcello, Martyn C. Lucas, Peter Gough, Andrew S. Vowles, Peter E. Jones, Eric Verspoor, Wouter van de Bund, Paul S. Kemp, Department of Biosciences, Swansea University, iThemba Laboratory for Accelerator Based Science, School of Biosciences [Cardiff], Cardiff University, Department of Electronics, Information, and Bioengineering [Milano] (DEIB), Politecnico di Milano [Milan] (POLIMI), Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), and Biosciences
Subjects: Instream infrastructure, Environmental Engineering, River ecosystem, 010504 meteorology & atmospheric sciences, Distribution (economics), 010501 environmental sciences, 01 natural sciences, Rivers, Abundance (ecology), Environmental Chemistry, 14. Life underwater, Waste Management and Disposal, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Connectivity, Dams, Obstacle inventory, Stream barriers, Habitat fragmentation, business.industry, Fragmentation (computing), 15. Life on land, Pollution, [SDE.ES]Environmental Sciences/Environmental and Society, 6. Clean water, Current (stream), Catchment hydrology, Geography, Habitat, Physical geography, business
Abstract: Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high-head dams, is poorly documented. We provide a comprehensive assessment of the distribution and typology of artificial barriers in Great Britain, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground-truthed by field surveys in England, Scotland and Wales to derive a correction factor for barrier density across Great Britain. Field surveys indicate that existing barrier databases underestimate barrier density by 68%, particularly in the case of low-head structures (
Published: 2019
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7. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

Author: Yong Zhao, Hadi Danawi, Bach Xuan Tran, Gene Bukhman, Vasiliki Stathopoulou, Taavi Tillmann, Nelson Alvis-Guzman, Yongmei Li, Jerry Puthenpurakal Abraham, Sudan Prasad Neupane, Jack Caravanos, Ben Schöttker, Rafael Lozano, Damian G Hoy, Yoshihiro Kokubo, Nicholas J K Breitborde, Sergey Soshnikov, Yukito Shinohara, Randall V. Martin, Michael Brainin, Fernando Perez-Ruiz, Yingfeng Zheng, Santosh Mishra, Julio Cesar Montañez Hernandez, Michael Phillips, Belinda J. Gabbe, Hebe N. Gouda, Ziad A. Memish, Rupert R A Bourne, Guoqing Hu, Emmanuel A. Ameh, Abigail McLain, Michelle L. Bell, Christopher Margono, Marissa Iannarone, Wilkister N. Moturi, Donald H. Silberberg, Carl Abelardo T. Antonio, Nataliya Foigt, Anand Dayama, Yanping Wang, Amanda J. Mason-Jones, Bolajoko O. Olusanya, Monica S. Vavilala, Katherine B Gibney, David Tanne, Sidibe S Kany Roseline, Marcella Montico, Abhishek Singh, Sarah Derrett, Alireza Esteghamati, Seok Jun Yoon, Corine Karema, Rakhi Dandona, David M. Pereira, Kazem Rahimi, Gitanjali M. Singh, Vivekanand Jha, John Hornberger, Anne M. Riederer, Kathryn H. Jacobsen, Andrea Pedroza, Lily Alexander, Fiona M. Blyth, Tommi Vasankari, Kyle J Foreman, Rana J. Asghar, Tilahun Nigatu Haregu, Yousef Khader, Rafael Alfonso-Cristancho, Suzanne Barker-Collo, Lydia S. Atkins, Simerjot K. Jassal, Mohammad Ali Sahraian, Peter Scarborough, Hans W. Hoek, E. Ray Dorsey, Muluken Dessalegn, David C. Schwebel, Gavin Shaddick, Thomas D. Fleming, Mohammad Tavakkoli, Dorairaj Prabhakaran, Mohammad H. Forouzanfar, Christopher C. Mapoma, Jost B. Jonas, Erin C Mullany, Gene F. Kwan, Johanna M. Geleijnse, Antonio Luiz Pinho Ribeiro, Roberto Tchio Talongwa, Tolesa Bekele, Jed D. Blore, Gunn Marit Aasvang, Philimon Gona, Miguel Angel Alegretti, Babak Eshrati, Mitsuru Mukaigawara, Richard F. Gillum, Odgerel Chimed-Ochir, Ubai Alsharif, Richard C. Franklin, Felix Masiye, Richard T. Burnett, Sanjay Krishnaswami, Martin McKee, John J Huang, Lucía Cuevas-Nasu, Wagner Marcenes, Walid Ammar, Knud Juel, Joseph R. Zunt, Martha M Téllez Rojo, Mamta Swaroop, Noela M Prasad, Azmeraw T. Amare, Tim Driscoll, Michael Kravchenko, Heresh Amini, Amir Sapkota, Theo Vos, Charlotte Watts, Dennis Odai Laryea, D. Alex Quistberg, Justin Beardsley, Cheng Huang, Adnan M. Durrani, Sarah V Thackway, Rita Van Dingenen, Manami Inoue, Martha Híjar, Honglei Chen, Amany H. Refaat, Yichong Li, Vineet K. Chadha, Wenzhi Wang, Louisa Degenhardt, Kingsley N. Ukwaja, Nayu Ikeda, James D. Wilkinson, Linh N Bui, Maria Hagströmer, Gonghuan Yang, Ann Kristin Knudsen, David J. Margolis, Soewarta Kosen, Hans Kromhout, Atsushi Goto, Man Mohan Mehndiratta, Thomas N. Williams, Michael Soljak, Yun Jin Kim, Hideaki Toyoshima, Jeyaraj D Pandian, Borja del Pozo-Cruz, Soufiane Boufous, Ivy Shiue, Anders Larsson, Guilherme V. Polanczyk, John Powles, Yara A. Halasa, Robin Room, Ratilal Lalloo, Carolina Batis Ruvalcaba, Panniyammakal Jeemon, Elisabete Weiderpass, Jürgen Rehm, Ejaz Ahmad Khan, Alicia Aleman, Zacharie Tsala Dimbuene, Elena Alvarez, Rachelle Buchbinder, Randah R. Hamadeh, Bryan Hubbell, Sadaf G. Sepanlou, Farhad Islami, Costas A. Christophi, Heidi Stöckl, Ismael R. Campos-Nonato, Nigel Bruce, Edward J Mills, Samuel A L Perry, Taavi Lai, Baffour Awuah, Mete Saylan, Karen J. Courville, Arindam Basu, Vanessa De la Cruz-Góngora, Teresita González de Cosío, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Muluken Azage Yenesew, Atte Meretoja, Michael Brauer, Cyrus Cooper, Giorgia Giussani, Valentina S. Arsic Arsenijevic, Vasiliy Victorovich Vlassov, André Karch, Leilei Duan, Matthew M Coates, Omid Ameli, Gelin Xu, Matthias Endres, Ganesan Karthikeyan, Ione Jayce Ceola Schneider, Mohamed Hsairi, Palwasha Anwari, Mazin J. Al Khabouri, Dariush Mozaffarian, Juan R. Sanabria, Pablo M. Lavados, Sumeet S. Chugh, Johan Ärnlöv, Ivo Rakovac, Maurice Giroud, Haidong Kan, Ibrahim Abdelmageem Mohamed Ginawi, José Luis Texcalac-Sangrador, Luigi Naldi, Erica Leigh Slepak, Deena Alasfoor, James E. Saunders, Richard Matzopoulos, Talal Bakfalouni, Stein Emil Vollset, Andrea Werdecker, Lennert J. Veerman, Lorenzo Monasta, Henrica A. F. M. Jansen, Reyna A Gutiérrez, Brittany Wurtz, Luz Maria Sanchez, Lijing L. Yan, M. Patrice Lindsay, Michele Meltzer, Sanjay Basu, Steven van de Vijver, Alaa Badawi, Thomas Claßen, Young-Ho Khang, Brett M. Kissela, Jun Zhu, In-Hwan Oh, Fiona J Charlson, Maria Cecilia Bahit, Dinorah González-Castell, Rosario Cárdenas, Dan Poenaru, Sayed Saidul Alam, Mitchell T. Wallin, Harish Chander Gugnani, James Leigh, Ferrán Catalá-López, Lidia Morawska, Jim van Os, Stephanie J. London, Kaire Innos, Isabelle Romieu, Fiorella Cavalleri, Adrian Davis, Hwee Pin Phua, Chakib Nejjari, Héctor Gómez Dantés, Boris I. Pavlin, Karen Sliwa, Lynne Gaffikin, Constance D. Pond, Michael F. MacIntyre, Blake Thomson, Norberto Perico, Ronny Westerman, Samantha M. Colquhoun, Michael H. Criqui, Ana Maria Nogales Vasconcelos, Wubegzier Mekonnen, Bulat Idrisov, Ana Basto-Abreu, Andrew G. M. Bulloch, Jasvinder A. Singh, Vinod K. Paul, Emin Murat Tuzcu, Svetlana Popova, Hmwe H Kyu, Richard L. Guerrant, Mohammed I. Albittar, Srikanth Mangalam, Steven E. Lipshultz, Lela Sturua, Semaw Ferede Abera, Eduardo Bernabé, George D. Thurston, Bruno F. Sunguya, Tiffany Ku, Alejandra G. Contreras, Abdullah Sulieman Terkawi, Charles Atkinson, Ashkan Afshin, Heidi J. Larson, Abdullatif Husseini, Jose C. Adsuar, Reza Assadi, Ademola Lukman Adelekan, Joshua A. Salomon, Yousef M. Elshrek, Gokalp Kadri Yentur, Devina Nand, Narayanaswamy Venketasubramanian, Graça Maria Ferreira De Lima, Maheswar Satpathy, Fotis Topouzis, Traolach S. Brugha, Hywel C Williams, Coen H. Van Gool, Andrew H. Kemp, Awoke Misganaw, Amado D Quezada, Norito Kawakami, Bert Brunekreef, Peter Burney, Tati S. Warouw, Jongmin Lee, Inga Dora Sigfusdottir, Marcel Tanner, Solveig A. Cunningham, Benjamin O. Anderson, Tariku Jibat Beyene, Lars Barregard, Xia Wan, Giuseppe Remuzzi, Bernadette Thomas, Lilia S Pedraza, Massimo Cirillo, Alina Rodriguez, Ricky Leung, Farshad Pourmalek, K. Srinath Reddy, Charles D.A. Wolfe, Ulrich O Mueller, Neeraj Bedi, Al Artaman, Lucia Hernandez, Itamar S. Santos, C. Arden Pope, Norlinah Mohamed Ibrahim, Carlo Irwin A. Panelo, Selen Begüm Uzun, Miltiadis K. Tsilimbaris, Anwar Rafay, Daniel Dicker, Melvin Barrientos Marzan, Sajjad Ur Rahman, Mohammed O. Basulaiman, Edgar P. Simard, Mohammad T Mashal, Maysaa El Sayed Zaki, Shiwei Liu, Don C. Des Jarlais, Bo Norrving, Salvador Villalpando, Miia Kivipelto, Yang Liu, Carolina Maria Teixeira, Catalina Medina, Sudha Jayaraman, Josep Maria Haro, Diego De Leo, Angel J Paternina Caicedo, Abigail C. McKay, Eric L. Ding, Mukesh Dherani, Ljiljana Pejin Stokic, Vinay Nangia, Sukanta Saha, Juan Liang, Elisabeth Cardis, Zourkaleini Younoussi, José R Nogueira, Braden Te Ao, Vasco Manuel Pedro Machado, Lionel Racapé, Ting Wu Chuang, Shahab Khatibzadeh, E Filipa de Castro, Barthelemy Kuate Defo, Ulises Trujillo, Alan D. Lopez, Soraya Seedat, Lope H Barrero, Linhong Wang, Daniel Pope, Alexandra Brazinova, Faris Lami, Valentina Colistro, G Anil Kumar, Derek F J Fay, Haidong Wang, Hwashin H. Shin, Raimundas Lunevicius, Suzanne Polinder, Dietrich Plass, David Rojas-Rueda, Stephen S Lim, Tania G Sánchez-Pimienta, K.M. Venkat Narayan, Yuantao Hao, Jung-Chen Chang, Corina Benjet, Seyed-Mohammad Fereshtehnejad, Luciano A. Sposato, Stan Biryukov, Kunihiro Matsushita, Beth E. Ebel, Cleusa P. Ferri, Soumya Swaminathan, K. Ryan Wessells, Gustavo Velasquez-Melendez, Leslie T. Cooper, David O. Carpenter, Nancy Lopez, Bryan L. Sykes, Sandra Nolte, Murray B. Stein, Paul N. Jensen, Fabiola Mejía-Rodríguez, Xiaonong Zou, Bradford D. Gessner, Dhruv S. Kazi, Dragos Virgil Davitoiu, Alejandra Jáuregui, Pouria Heydarpour, Megan Bohensky, Harvey Whiteford, Berrak Bora Basara, Zhengming Chen, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Nima Hafezi-Nejad, John Nelson Opio, Scott Weichenthal, Deborah Salvo, Jun She, Tea Lallukka, Carolyn C. Gotay, Stephen G. Waller, Christian Kieling, Shivanthi Balalla, Valery L. Feigin, Qing Lan, Matias Trillini, Adam D M Briggs, Sungroul Kim, Niveen M E Abu-Rmeileh, Renata Micha, Sergey Petrovich Ermakov, Ole Frithjof Norheim, Zulfiqar A Bhutta, Paul S. F. Yip, Grant Nguyen, Ralph L. Sacco, Biju Abraham, Ken Takahashi, Jixiang Ma, Peter A. Meaney, Ayse Abbasoglu Ozgoren, Kimberly Cooperrider, M Rifat Kose, Shams Eldin Ali Hassan Khalifa, Rasmus Havmoeller, Alize J. Ferrari, Kebede Deribe, Nadim E. Karam, George A. Mensah, Bongani M. Mayosi, Konrad Pesudovs, Joanna Moschandreas, Ziad Nahas, James Damsere-Derry, Nsanzimana Sabin, Tonatiuh Barrientos-Gutiérrez, Ying Jiang, Andre Pascal Kengne, Peter Allebeck, Jonas Minet Kinge, Shankuan Zhu, Guy B. Marks, Daniel C Casey, Marco A Avila, Anna Roca, Lalit Dandona, Ami R. Moore, Adansi A. Amankwaa, David Gunnell, Andre Keren, Yohannes Adama Melaku, Nhung T Nguyen, Anthony D. Woolf, Mayuree Rao, Peter J. Allen, Christina Papachristou, Karzan Abdulmuhsin Mohammad, Ravi Kumar Balu, Marie Ng, Marcello Tonelli, Maziar Moradi-Lakeh, Maigeng Zhou, Emmanuela Gakidou, Mohammed K. Ali, Amanda W Pain, Dan J. Stein, Kawkab Shishani, Fortuné Gbètoho Gankpé, Howard J. Hoffman, James Scott, Nadine Steckling, Samia Alhabib, Deborah Jarvis, Kara Estep, Arsène Kouablan Adou, Ricardo Orozco, Holly Hagan, K. C. Astha, Reza Malekzadeh, Klara Dokova, Aliya Naheed, Ernst J. Kuipers, Valeria Caso, Derrick A Bennett, Andrea B. Feigl, Uche S. Uchendu, Holly E. Erskine, Shireen Sindi, Arjun Lakshmana Balaji, Francesco Saverio Violante, Monika Sawhney, Alejandra Cantoral, Ketevan Goginashvili, Raghib Ali, Fan Jiang, Robert G. Weintraub, Homie Razavi, Myriam Tobollik, Howard Hu, Emerito Jose A. Faraon, Irma Khonelidze, Patricia M. Riccio, Eun-Kee Park, Julio Cesar Campuzano, Ibrahim Abubakar, Jürgen C Schmidt, Konstantinos Stroumpoulis, Aref A. Bin Abdulhak, Graeme J. Hankey, Natan M. Bornstein, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Alanur Çavlin, Ruth W Kimokoti, Samir Soneji, Mark J. Nieuwenhuijsen, John Q. Wong, Joseph Frostad, Tom Achoki, Rahman Shiri, Ashish Bhalla, Kurt Straif, Simon I. Hay, Scott B. Patten, Kalpana Balakrishnan, Awoke Misganaw Temesgen, Chandrashekhar T Sreeramareddy, Ryan M Barber, Rosana E. Norman, JianLi Wang, Siyi Shangguan, Luke Nyakarahuka, Kovin Naidoo, Charles D. H. Parry, Mercedes Colomar, H. Ross Anderson, Carlos Magis-Rodriguez, Joan M. Nolla, Muhammad Imran Nisar, Karen Devries, Andrew L. Thorne-Lyman, Denis Nash, Marape Marape, Rajiv Chowdhury, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Daniel Kim, Yuichiro Yano, Luke D. Knibbs, Margaret Robinson, Hilda L Harb, Rogelio Pérez-Padilla, Janet L Leasher, Jonathan L. Wright, Peter Brooks, Cristiana Abbafati, Belinda K Lloyd, Victor Aboyans, Nikhil Tandon, Charles R. Newton, Simón Barquera, Ted R. Miller, Kinnari S. Murthy, Habib Benzian, Glen Mola, Paulo A. Lotufo, Burcu Kucuk Bicer, Peggy Pei-Chia Chiang, Alexander Kraemer, Solomon Meseret Woldeyohannes, Saman Fahimi, Lesley Rushton, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Logan Sandar, Bruce Neal, Teresa Shamah Levy, Karen M. Tabb, Jeffrey A. Towbin, Christopher J L Murray, Ramesh Sahathevan, Aaron Cohen, Chanda Kulkarni, Van C. Lansingh, François Alla, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Uchechukwu K.A. Sampson, Rajeev Gupta, Neil Pearce, Mustafa Z. Younis, Veena S. Kulkarni, Francisco A García-Guerra, Amanda G. Thrift, Stefan Ma, Samaya Ismayilova, Evariste Gasana, Amitava Banerjee, Aslam Pervaiz, Emilie Agardh, Abraham D. Flaxman, Farshad Farzadfar, Peter W. Gething, Ileana Heredia-Pi, Boris Bikbov, Wanqing Chen, Saad B. Omer, Ruben Castro, Neeraj Bhala, Sara Sheikhbahaei, Hilton Lam, Urbano Fra Paleo, Lidia Sanchez-Riera, Alicia Elena Beatriz Lawrynowicz, Kristen Delwiche, Richard G. Ellenbogen, Max Petzold, Yuri Y Varakin, Guilherme Borges, Guohong Jiang, Francis Guillemin, Kyle R. Heuton, Yohannes Kinfu, Victoria F Bachman, Joseph A Wagner, Carlos A Castañeda-Orjuela, Leonardo Trasande, Abbas Ali Mahdi, Josef Coresh, Chuanhua Yu, Kenji Shibuya, Berrin Serdar, Laetitia Huiart, Xiaofeng Liang, Jean de Dieu Ngirabega, Takayoshi Ohkubo, Natalie Stephens, Francis Apolinary Mhimbira, Jefferson Traebert, Amiran Gamkrelidze, Kjetil Søreide, Samath D Dharmaratne, Robert P. Dellavalle, George Mugambage Ruhago, Lakshmi Vijayakumar, Joannie Lortet-Tieulent, Dipan Bose, Tania C Aburto, Saleem M Rana, Miriam Levi, Mohammad Taghi Hedayati, Rodolfo S Pagcatipunan, Ron T. Gansevoort, H. D. Hosgood, Michael Burch, Mohsen Naghavi, Vegard Skirbekk, Ayfer Pekericli, Walter Mendoza, Pengpeng Ye, Gabrielle deVeber, Ali H. Mokdad, David M. Broday, Koranteng Adofo, Zewdie Aderaw Alemu, Shifalika Goenka, Carrie Beth Peterson, Nicolas J. C. Stapelberg, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Giancarlo Logroscino, Kardiyoloji, Peterson, Carrie B., Laboratoire de Physique des Solides (LPS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Wisconsin Division of Public Health, Laboratoire de psychologie sociale et de psychologie cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), London South Bank University, Metropolitan Police Service, Hong Kong Baptist University (HKBU), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Insight Centre for Data Analytics [Galway] (INSIGHT), National University of Ireland [Galway] (NUI Galway), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Karolinska Institute, karolinska institute, Department of Molecular Biosciences, Department of Molecular Biosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Computer Science Department [Bristol], University of Bristol [Bristol], Universität Mannheim [Mannheim], Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Computational Science and Engineering Department [Daresbury] (STFC), Science & Technologie Facilities Council, Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, University of Southampton, Imperial College London, Neurology Department, Ichilov Medical Center, Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Risk Assessment Sciences Institute, Utrecht University [Utrecht], Unité de Biologie Fonctionnelle et Adaptative (BFA (UMR_8251 / U1133)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Respiratory Epidemiology and Public Health, Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute [UK], CIBER de Epidemiología y Salud Pública (CIBERESP), STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Tennent Institute of Ophthalmology, National University of Singapore (NUS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Multidisciplinary Nanotechnology Centre, Swansea University, Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Genomics Research Center, Academia Sinica, Neuro Rehab Services LLP [New Delhi], Department of Signal Theory and Communications (TSC), Univ. Politec. de Catalunya, King‘s College London, Dept. Mat. Engn. De Ma, Sao Carlos, Fed. Univ. Sao Carlos UFSCar, RESPEC (RESPEC), RESPEC, Advanced Laboratories on Embedded Systems [Roma] (ALES), Department of Biology [Miami], University of Miami [Coral Gables], Health Care, Minister Of Labour-Ministry of Labor, Health and Social Affairs, Department of Nephrology, University Medical Center, University of Groningen, Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] (WUR), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], College of Medicine, University of Hail, Saudi Arabia, Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] (UPC), Department of Biosciences and Nutrition, Karolinska Institutet [Stockholm], Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences [Tehran] (SBUMS), Shahid Beheshti University-Shahid Beheshti University, Center for Applied Medical Research (CIMA), University of Tehran, Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), College of Precision Instrument and Optoelectronics Engineering, Tianjin University, George Washington University (GW), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universiteit Gent [Ghent], Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain (UCL), Fachbereich Physik [Berlin], Freie Universität Berlin, Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), Univ New Delhi, School of Physics and Astronomy, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center (TRDDC), TCS Innovation Labs, University of Helsinki, Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency (FOI), Servicio de Neurologia (SANTIAGO - Neurologie), Universidad del Desarrollo, Novartis Pharmaceutical Corporation, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Department of Health and Human Services, National Institutes of Health [Bethesda] (NIH), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), College of Information and Electrical Engineering [Beijing] (CIEE), China Agricultural University (CAU), Thales Research and Technology [Palaiseau], THALES, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École supérieure du professorat et de l'éducation - Académie de Grenoble [2013-2019] (ESPE Grenoble [2013-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], American University of Beirut [Beyrouth] (AUB), Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Mailman School of Public Health, Columbia University [New York], The Georges Institute for International Health, The University of Sydney, Department of epidemiology and Public Health, Faculty of Medicine, Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Universitat Pompeu Fabra [Barcelona], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona]-Catalunya ministerio de salud, Nutriments Lipidiques et Prévention des Maladies Métaboliques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université de la Méditerranée - Aix-Marseille 2, Department of Neurology Lunds University Hospital Lund, Unit of Functional Bionanomaterials, School of Biosciences, University of Birmingham [Birmingham], Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], World Health Organization, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Nordic School of Public Health, The James Hutton Institute, Horia Hulubei National Institute for Physics and Nuclear Engineering, Department of Pediatrics, University of Washington [Seattle], Institute of Public Health, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Dept.of Computer Science, Indian Institute of Technology Madras (IIT Madras), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut geològic de Catalunya (IGC), Institut Geològic de Catalunya-IGC, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Recherche Agronomique (INRA), Politecnico di Milano [Milan] (POLIMI), Symantec, University of Oviedo, European Microsoft Innovation Center (EMIC), Microsoft Corporation [Redmond, Wash.], Technion - Israel Institute of Technology [Haifa], Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Department of Physics, Cavendish Laboratory, University of Cambridge [UK] (CAM), Laboratoire de Probabilités et Modèles Aléatoires (LPMA), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling (CMM), Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), University of Occupational and Environmental Health [Kitakyushu] (UEOH), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Universidade Federal de Pernambuco [Recife] (UFPE), Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute (NEST), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology (LICB), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] (LNCC / MCT), Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] (KTH ), NICTA [Eveleigh], National ICT Australia [Sydney] (NICTA), Division of Solid Mechanics, Lund University [Lund], University of Calgary, BioWare Corp, Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Imaging Sciences and Biomedical Engineering Division [London], Guy's and St Thomas' Hospital [London]-King‘s College London, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia], Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Physiology, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Neurorestoration Group, Wolfson Centre for Age-related Diseases-King‘s College London, Electronic Navigation Research Institute (ENRI), Ministry of Land, Infrastructure, Transport and Tourism, Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Centre for Undergraduate Studies, University of the Punjab, Siemens Corporate Research, Siemens AG [Munich], University of Massachusetts [Boston] (UMass Boston), University of Massachusetts System (UMASS), Department of Materials Science, Sichuan University [Chengdu] (SCU), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Shahid Beheshti University of Medical Sciences, École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH)-Universidad del Desarrollo, Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), École supérieure du professorat et de l'éducation - Académie de Grenoble (ESPE Grenoble), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), California Institute of Technology (CALTECH)-NASA, Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Sud - Paris 11 (UP11), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), King‘s College London-Wolfson Centre for Age-related Diseases, Sichuan University, Universitat de Barcelona, Interne Geneeskunde, Medische Sociologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), Psychiatrie & Neuropsychologie, CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), RS: MHeNs - R2 - Mental Health, Laboratoire de Physique des Solides ( LPS ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de psychologie sociale et de psychologie cognitive ( LAPSCO ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Centre National de la Recherche Scientifique ( CNRS ), Erosion torrentielle neige et avalanches ( UR ETGR ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Hong Kong Baptist University ( HKBU ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Insight Centre for Data Analytics (National University of Ireland Galway (NUIG)) ( INSIGHT ), Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), University of Oslo ( UiO ) -University of Oslo ( UiO ), Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Computational Science and Engineering Department [Daresbury] ( STFC ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], University of Southampton [Southampton], Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), University Medical Center Utrecht, Biologie Fonctionnelle et Adaptative ( BFA ), Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute, Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), National University of Singapore ( NUS ), Centre de Robotique ( CAOR ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Department of Signal Theory and Communications ( TSC ), RESPEC ( RESPEC ), Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Wageningen University and Research Centre [Wageningen] ( WUR ), Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale ( SESSTIM - U912 INSERM - AMU - IRD ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Université Catholique de Louvain ( UCL ), Freie Universität Berlin [Berlin], Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Tata Research Development and Design Center ( TRDDC ), Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Swedish Defense Research Agency ( FOI ), Servicio de Neurologia ( SANTIAGO - Neurologie ), Universidad de Santiago de Chile [Santiago] ( USACH ) -Universidad del Desarrollo, Novartis Pharmaceutical Corp., East Hanover NJ 07936, USA, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Mechanical and Automation Engineering ( CAD Laboratory ), National Institutes of Health ( NIH ), Centre d'étude et de recherche en informatique et communications ( CEDRIC ), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise ( ENSIIE ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), College of Information and Electrical Engineering [Beijing] ( CIEE ), China Agricultural University ( CAU ), Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), École supérieure du professorat et de l'éducation - Académie de Grenoble ( ESPE Grenoble ), Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Université Grenoble Alpes ( UGA ), PennState University [Pennsylvania] ( PSU ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), American University of Beirut [Beyrouth], The University of Sydney [Sydney], Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Laboratoire des signaux et systèmes ( L2S ), Université Paris-Sud - Paris 11 ( UP11 ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Center for Research in Environmental Epidemiology ( CREAL ), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique ( INRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Indian Institute of Technology Madras ( IIT Madras ), Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Laboratoire de Génie Informatique et Ingénierie de Production ( LGI2P ), IMT - Mines Alès Ecole Mines - Télécom ( IMT - MINES ALES ), Institut geològic de Catalunya ( IGC ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physiologie et Génomique des Poissons ( LPGP ), Institut National de la Recherche Agronomique ( INRA ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Politecnico di Milano [Milan], European Microsoft Innovation Center ( EMIC ), Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), University of Cambridge [UK] ( CAM ), Laboratoire de Probabilités et Modèles Aléatoires ( LPMA ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), London School of Hygiene and Tropical Medicine ( LSHTM ), University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), Universidade Federal de Pernambuco [Recife] ( UFPE ), Nanoscience Institute ( NEST ), Laboratory Of Immune Cell Biology ( LICB ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Bonn Universität [Bonn], Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] ( LNCC / MCT ), Royal Institute of Technology [Stockholm] ( KTH ), National ICT Australia [Sydney] ( NICTA ), Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), Children’s Hospital of Philadelphia ( CHOP ), Univeristy of Pennsylvania Medical School, Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Medical College of Georgia, Electronic Navigation Research Institute ( ENRI ), Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), University of Massachusetts [Boston] ( UMass Boston ), Forouzanfar, Mohammad H, Alexander, Lily, Anderson, H. Ro, Bachman, Victoria F, Biryukov, Stan, Brauer, Michael, Burnett, Richard, Casey, Daniel, Coates, Matthew M, Cohen, Aaron, Delwiche, Kristen, Estep, Kara, Frostad, Joseph J, Kc, Astha, Kyu, Hmwe H, Moradi Lakeh, Maziar, Ng, Marie, Slepak, Erica Leigh, Thomas, Bernadette A, Wagner, Joseph, Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd Allah, Foad, Abera, Semaw F, Aboyans, Victor, Abraham, Biju, Abraham, Jerry Puthenpurakal, Abubakar, Ibrahim, Abu Rmeileh, Niveen M. E, Aburto, Tania C, Achoki, Tom, Adelekan, Ademola, Adofo, Koranteng, Adou, Arsène K, Adsuar, José C, Afshin, Ashkan, Agardh, Emilie E, Al Khabouri, Mazin J, Al Lami, Faris H, Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I, Alegretti, Miguel A, Aleman, Alicia V, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Ali, Mohammed K, Alla, Françoi, Allebeck, Peter, Allen, Peter J, Alsharif, Ubai, Alvarez, Elena, Alvis Guzman, Nelson, Amankwaa, Adansi A, Amare, Azmeraw T, Ameh, Emmanuel A, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O, Antonio, Carl Abelardo T, Anwari, Palwasha, Cunningham, Solveig Argeseanu, Arnlöv, Johan, Arsenijevic, Valentina S. 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Venkat, Neupane, Sudan P., Newton, Charles R., Ngalesoni, Frida N., Ngirabega, Jean De Dieu, Nguyen, Nhung T., Nieuwenhuijsen, Mark J., Nisar, Muhammad I., Nogueira, José R., Nolla, Joan M., Norheim, Ole F., Norman, Rosana E., Oh, In-Hwan, Olusanya, Bolajoko O., Omer, Saad B., Pagcatipunan, Rodolfo S., Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Park, Eun-Kee, Parry, Charles D., Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris I., Pedraza, Lilia S., Pejin Stokic, Ljiljana, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perry, Samuel A.L., Phillips, Michael R., Polanczyk, Guilherme V., Pond, Constance D., Prasad, Noela M., Qato, Dima M., Quezada, Amado D., Quistberg, D. Alex A., Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Rana, Saleem M., Refaat, Amany H., Ribeiro, Antonio L., Riccio, Patricia M., Rojas-Rueda, David, Ruhago, George M., Sacco, Ralph L., Salomon, Joshua A., Sampson, Uchechukwu K., Sanabria, Juan R., Sánchez-Pimienta, Tania G., Sanchez-Riera, Lidia, Santos, Itamar S., Saunders, James E., Saylan, Mete I., Schmidt, Jürgen C., Schneider, Ione J.C., Schwebel, David C., Scott, James G., Sepanlou, Sadaf G., Servan-Mori, Edson E., Shamah Levy, Teresa, Shin, Hwashin H., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Singh, Gitanjali M., Singh, Jasvinder A., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stapelberg, Nicolas J.C., Stein, Dan J., Stein, Murray B., Sunguya, Bruno F., Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto T., Te Ao, Braden J., Teixeira, Carolina M., Téllez Rojo, Martha M., Terkawi, Abdullah S., Texcalac-Sangrador, José Lui, Thackway, Sarah V., Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Towbin, Jeffrey A., Tran, Bach X., Tsala Dimbuene, Zacharie, Uchendu, Uche S., Ukwaja, Kingsley N., Uzun, Selen B., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Varakin, Yuri Y., Vasankari, Tommi J., Vasconcelos, Ana Maria N., Vavilala, Monica S., Veerman, Lennert J., Velasquez-Melendez, Gustavo, Venketasubramanian, N., Violante, Francesco S., Victorovich Vlassov, Vasiliy, Wagner, Gregory R., Waller, Stephen G., Wallin, Mitchell T., Warouw, Tati S., Watts, Charlotte H., Weintraub, Robert G., Whiteford, Harvey A., Wilkinson, James D., Williams, Hywel C., Williams, Thomas N., Woldeyohannes, Solomon M., Wolfe, Charles D.A., Wong, John Q., Woolf, Anthony D., Wright, Jonathan L., Yan, Lijing L., Yentür, Gökalp K., Yoon, Seok-Jun, Younis, Mustafa Z., Zaki, Maysaa E., Zunt, Joseph R., Lopez, Alan D., and Temesgen, A.M.
Subjects: Male, Fine particulate matter, Nutrition and Disease, MESH : Sanitation, Health Behavior, Diseases, MESH: Metabolic Diseases, MESH: Global Health, 030204 cardiovascular system & hematology, MESH: Risk Assessment, Global Health, MESH : Nutritional Status, MESH: Occupational Exposure, 0302 clinical medicine, Unsafe Sex, MESH: Risk Factors, Risk Factors, Voeding en Ziekte, Medicine, Air-pollution, MESH : Female, 030212 general & internal medicine, MESH : Risk Assessment, Sanitation, Wasting, 2. Zero hunger, Factors de risc en les malalties, Medicine (all), [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, MESH : Occupational Diseases, MESH: Nutritional Status, All-cause mortality, MESH : Risk Factors, humanities, Environmental Exposure, Female, Humans, Metabolic Diseases, Nutritional Status, Occupational Diseases, Occupational Exposure, Risk Assessment, Tobacco smoking, 3. Good health, Nutritional Statu, MESH : Occupational Exposure, MESH : Metabolic Diseases, Cohort, medicine.symptom, Risk assessment, Blood-pressure, Human, MESH: Occupational Diseases, Risk factors in diseases, Coronary-heart-disease, MESH : Male, MESH: Health Behavior, MESH: Environmental Exposure, Population health, Body-mass index, 03 medical and health sciences, Household cooking, Cardiovascular-disease, Environmental health, General & Internal Medicine, parasitic diseases, Life Science, MESH: Sanitation, Risk factor, MESH : Health Behavior, VLAG, GBD2013, MESH: Humans, business.industry, Risk Factor, Global Burden of Disease Study, 79 behavioural, environmental and occupational, and metabolic risks, Long-term exposure, MESH : Humans, CAUSE-SPECIFIC MORTALITY, MESH: Male, Metabolic Disease, Occupational Disease, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, MALE BRITISH DOCTORS, Years of potential life lost, Relative risk, Malalties, MESH : Global Health, OUTDOOR AIR-POLLUTION, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH : Environmental Exposure, MESH: Female
Abstract: Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation. Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the fi rst level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular fi ltration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation.
Published: 2015

8. Uncertainty in projected climate change arising from uncertain fossil-fuel emission factors

Author: Quilcaille, Y, Gasser, T, Ciais, P, Lecocq, F, Janssens-Maenhout, G, Mohr, S, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), centre international de recherche sur l'environnement et le développement (CIRED), Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École des hautes études en sciences sociales (EHESS)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), European Commission - Joint Research Centre [Ispra] (JRC), University of Technology Sydney (UTS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École des hautes études en sciences sociales (EHESS)-AgroParisTech-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ( LSCE ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Centre International de Recherche sur l'Environnement et le Développement ( CIRED ), Centre National de la Recherche Scientifique ( CNRS ) -École des Ponts ParisTech ( ENPC ) -AgroParisTech-École des hautes études en sciences sociales ( EHESS ) -Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), and Institute for Sustainable Futures
Subjects: [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, Meteorology & Atmospheric Sciences, Astrophysics::Earth and Planetary Astrophysics, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Physics::Atmospheric and Oceanic Physics
Abstract: © 2018 The Author(s). Published by IOP Publishing Ltd. Emission inventories are widely used by the climate community, but their uncertainties are rarely accounted for. In this study, we evaluate the uncertainty in projected climate change induced by uncertainties in fossil-fuel emissions, accounting for non-CO2 species co-emitted with the combustion of fossil-fuels and their use in industrial processes. Using consistent historical reconstructions and three contrasted future projections of fossil-fuel extraction from Mohr et al we calculate CO2 emissions and their uncertainties stemming from estimates of fuel carbon content, net calorific value and oxidation fraction. Our historical reconstructions of fossil-fuel CO2 emissions are consistent with other inventories in terms of average and range. The uncertainties sum up to a ±15% relative uncertainty in cumulative CO2 emissions by 2300. Uncertainties in the emissions of non-CO2 species associated with the use of fossil fuels are estimated using co-emission ratios varying with time. Using these inputs, we use the compact Earth system model OSCAR v2.2 and a Monte Carlo setup, in order to attribute the uncertainty in projected global surface temperature change (T) to three sources of uncertainty, namely on the Earth system's response, on fossil-fuel CO2 emission and on non-CO2 co-emissions. Under the three future fuel extraction scenarios, we simulate the median T to be 1.9, 2.7 or 4.0 °C in 2300, with an associated 90% confidence interval of about 65%, 52% and 42%. We show that virtually all of the total uncertainty is attributable to the uncertainty in the future Earth system's response to the anthropogenic perturbation. We conclude that the uncertainty in emission estimates can be neglected for global temperature projections in the face of the large uncertainty in the Earth system response to the forcing of emissions. We show that this result does not hold for all variables of the climate system, such as the atmospheric partial pressure of CO2 and the radiative forcing of tropospheric ozone, that have an emissions-induced uncertainty representing more than 40% of the uncertainty in the Earth system's response.
Published: 2018

9. Using ecological models to assess ecosystem status in support of the European Marine Strategy Framework Directive

Author: O. Kryvenko, Ibon Galparsoro, Chiara Piroddi, Marina Chifflet, Caleb Smith, Ana Carla Garcia, Krysia Mazik, Géraldine Lassalle, Guillem Chust, Eider Andonegi, Heliana Teixeira, Nathalie Niquil, Maria Kämäri, Suzanna Neville, María C. Uyarra, Vjacheslav Suslin, Tanya Churilova, María del Carmen Alvarez, Axel G. Rossberg, Christopher P. Lynam, Nadia Papadopoulou, Letizia Tedesco, Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), European Commission - Joint Research Centre [Ispra] (JRC), Centre for Environment, Fisheries and Aquaculture Science [Lowestoft] (CEFAS), Hellenic Center for Marine Research (HCMR), Universidad de la República [Montevideo] (UDELAR), University of Hull [United Kingdom], AZTI - Tecnalia, Finnish Environment Institute (SYKE), Marine and environmental research centre - IMAR-CMA (Coimbra, Portugal), University of Coimbra [Portugal] (UC), Marine Hydrophysical Institute (MHI), National Academy of Sciences of Ukraine (NASU), UMR 5805 Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), European Commission, Universidad de la República [Montevideo] (UCUR), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Hellenic Centre for Marine Research (HCMR), Environnements et Paléoenvironnements OCéaniques (EPOC), and Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE)
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Good Environmental Status, [SDE.MCG]Environmental Sciences/Global Changes, Biodiversity descriptors, Biodiversity, General Decision Sciences, 01 natural sciences, Ecosystem services, [SHS]Humanities and Social Sciences, Marine Strategy Framework Directive, media_common.cataloged_instance, Ecosystem, Marine ecosystem, 14. Life underwater, European union, MSFD, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, media_common, Decision Sciences(all), Biomass (ecology), Ecology, business.industry, Model-derived indicators, 010604 marine biology & hydrobiology, Environmental resource management, 15. Life on land, [SDE.ES]Environmental Sciences/Environmental and Society, Habitats, 13. Climate action, [SDE]Environmental Sciences, Environmental science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecological models, business, Marine ecosystems, Pressures
Abstract: Piroddi, Chiara ... et. al.-- 17 pages, 4 figures, 5 tables, 1 appendix supplementary data http://dx.doi.org/10.1016/j.ecolind.2015.05.037, The European Union's Marine Strategy Framework Directive (MSFD) seeks to achieve, for all European seas, “Good Environmental Status” (GEnS), by 2020. Ecological models are currently one of the strongest approaches used to predicting and understanding the consequences of anthropogenic and climate-driven changes in the natural environment. We assess the most commonly used capabilities of the modelling community to provide information about indicators outlined in the MSFD, particularly on biodiversity, food webs, non-indigenous species and seafloor integrity descriptors. We built a catalogue of models and their derived indicators to assess which models were able to demonstrate: (1) the linkages between indicators and ecosystem structure and function and (2) the impact of pressures on ecosystem state through indicators. Our survey identified 44 ecological models being implemented in Europe, with a high prevalence of those that focus on links between hydrodynamics and biogeochemistry, followed by end-to-end, species distribution/habitat suitability, bio-optical (remote sensing) and multispecies models. Approximately 200 indicators could be derived from these models, the majority of which were biomass and physical/hydrological/chemical indicators. Biodiversity and food webs descriptors, with ∼49% and ∼43% respectively, were better addressed in the reviewed modelling approaches than the non-indigenous species (0.3%) and sea floor integrity (∼8%) descriptors. Out of 12 criteria and 21 MSFD indicators relevant to the abovementioned descriptors, currently only three indicators were not addressed by the 44 models reviewed. Modelling approaches showed also the potential to inform on the complex, integrative ecosystem dimensions while addressing ecosystem fundamental properties, such as interactions between structural components and ecosystems services provided, despite the fact that they are not part of the MSFD indicators set. The cataloguing of models and their derived indicators presented in this study, aim at helping the planning and integration of policies like the MSFD which require the assessment of all European Seas in relation to their ecosystem status and pressures associated and the establishment of environmental targets (through the use of indicators) to achieve GEnS by 2020, This manuscript has resulted from the DEVOTES (DEVelopment Of innovative Tools for understanding marine biodiversity and assessing good Environmental Status) project funded by the European Union under the 7th Framework Programme, ‘The Ocean of Tomorrow’ Theme (Grant Agreement No. 308392), http://www.devotes-project.eu
Published: 2015
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10. Remote sensing for mapping natural habitats and their conservation status – New opportunities and challenges

Author: Stefan Lang, Spanhove Toon, Förster Michael, Christina Corbane, Thomas Strasser, Virginia Elena García Millán, Michel Deshayes, Jeroen Vanden Borre, Samuel Alleaume, Kyle Pipkins, Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Austrian Institute of Technology [Vienna] (AIT), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Subjects: EUROPE, SATELLITE IMAGE ANALYSIS, Biodiversity, Distribution (economics), EUROPEAN HABITATS DIRECTIVE, Management, Monitoring, Policy and Law, LANDSAT TM, Natural (archaeology), NATURAL AND SEMI-NATURAL HABITATS, Computers in Earth Sciences, Council directive, ComputingMilieux_MISCELLANEOUS, Earth-Surface Processes, Remote sensing, Global and Planetary Change, business.industry, EARTH OBSERVATION DATA, Environmental resource management, 15. Life on land, Geography, Habitat, 13. Climate action, Remote sensing (archaeology), [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Conservation status, DIRECTIVE HABITATS, Habitats Directive, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business
Abstract: International audience; Safeguarding the diversity of natural and semi-natural habitats in Europe is one of the aims set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural habitats and of wild fauna and flora) and one of the targets of the European 2020 Biodiversity Strategy, and is to be accomplished by maintaining a favourable conservation status. To reach this aim a high-level understanding of the distribution and conditions of these habitats is needed. Remote sensing can considerably contribute to habitat mapping and their observation over time. Several European projects and a large number of scientific studies have addressed the issue of mapping and monitoring natural habitats via remote sensing and the deriving of indicators on their conservation status. The multitude of utilized remote sensing sensors and applied methods used in these studies, however, impede a common understanding of what is achievable with current state-of-the-art technologies. The aim of this paper is to provide a synthesis on what is currently feasible in terms of detection and monitoring of natural and semi-natural habitats with remote sensing. To focus this endeavour, we concentrate on those studies aimed at direct mapping of individual habitat types or discriminating between different types of habitats occurring in relatively large, spatially contiguous units. By this we uncover the potential of remote sensing to better understand the distribution of habitats and the assessment of their conservation status in Europe.
Published: 2015

11. Detection of Irrigated Crops from Sentinel-1 and Sentinel-2 Data to Estimate Seasonal Groundwater Use in South India

Author: Ferrant, Sylvain, Selles, Adrien, Le Page, Michel, Herrault, Pierre-Alexis, Pelletier, Charlotte, Al-Bitar, Ahmad, Mermoz, Stéphane, Gascoin, Simon, Bouvet, Alexandre, Saqalli, Mehdi, Dewandel, Benoît, Caballero, Yvan, Ahmed, Shakeel, Maréchal, Jean-Christophe, Kerr, Yann, Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC), Géographie de l'environnement (GEODE), Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Structure et fonctionnement des systèmes hydriques continentaux (SISYPHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Indo-French Centre for Groundwater Research (IFCGR), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-National Geophysical Research Institute [Hyderabad] (NGRI), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Université Pierre et Marie Curie - Paris 6 (UPMC)-École pratique des hautes études (EPHE)-MINES ParisTech - École nationale supérieure des mines de Paris-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Indo-French Center for Groundwater Research (IFCGR), Institut de Recherche pour le Développement ( IRD [Nouvelle-Calédonie] ), Université Pierre et Marie Curie - Paris 6 ( UPMC ), Centre d'études spatiales de la biosphère ( CESBIO ), Université Paul Sabatier - Toulouse 3 ( UPS ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Observatoire Midi-Pyrénées ( OMP ) -Centre National d'Etudes Spatiales ( CNES ) -Centre National de la Recherche Scientifique ( CNRS ), Géographie de l'environnement ( GEODE ), Centre National de la Recherche Scientifique ( CNRS ) -Université Toulouse - Jean Jaurès ( UT2J ), Institut d'Electronique et de Télécommunications de Rennes ( IETR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National des Sciences Appliquées - Rennes ( INSA Rennes ) -SUPELEC-Centre National de la Recherche Scientifique ( CNRS ), Structure et fonctionnement des systèmes hydriques continentaux ( SISYPHE ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -École pratique des hautes études ( EPHE ) -MINES ParisTech - École nationale supérieure des mines de Paris-Centre National de la Recherche Scientifique ( CNRS ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Bureau de Recherches Géologiques et Minières (BRGM) ( BRGM ), and Indo-French Centre for Groundwater Research ( IFCGR )
Subjects: Science, agro-hydrology, groundwater shortage monitoring, [SDE.ES]Environmental Sciences/Environmental and Society, [ SDE ] Environmental Sciences, [SDE]Environmental Sciences, Sentinel-1, radar and optical synergy, Sentinel-2, crop cover mapping, [ SDE.ES ] Environmental Sciences/Environmental and Society, ComputingMilieux_MISCELLANEOUS, random forest, rice irrigation
Abstract: Indian agriculture relies on monsoon rainfall and irrigation from surface and groundwater. The interannual variability of monsoon rainfalls is high, which forces South Indian farmers to adapt their irrigated areas to local water availability. In this study, we have developed and tested a methodology for monitoring these spatiotemporal variations using Sentinel-1 and -2 observations over the Kudaliar catchment, Telangana State (~1000 km2). These free radar and optical data have been acquired since 2015 on a weekly basis over continental areas, at a high spatial resolution (10–20 m) that is well adapted to the small areas of South Indian field crops. A machine learning algorithm, the Random Forest method, was used over three growing seasons (January to March and July to November 2016 and January to March 2017) to classify small patches of inundated rice paddy, maize, and other irrigated crops, as well as surface water stored in the small reservoirs scattered across the landscape. The crop production comprises only irrigated crops (less than 20% of the areas) during the dry season (Rabi, December to March), to which rain-fed cotton is added to reach 60% of the areas during the monsoon season (Kharif, June to November). Sentinel-1 radar backscatter provides useful observations during the cloudy monsoon season. The lowest irrigated area totals were found during Rabi 2016 and Kharif 2016, accounting for 3.5 and 5% with moderate classification confusion. This confusion decreases with increasing areas of irrigated crops during Rabi 2017. During this season, 16% of rice and 6% of irrigated crops were detected after the exceptional rainfalls observed in September. Surface water in small surface reservoirs reached 3% of the total area, which corresponds to a high value. The use of both Sentinel datasets improves the method accuracy and strengthens our confidence in the resulting maps. This methodology shows the potential of automatically monitoring, in near real time, the high short term variability of irrigated area totals in South India, as a proxy for estimating irrigated water and groundwater needs. These are estimated over the study period to range from 49.5 ± 0.78 mm (1.5% uncertainty) in Rabi 2016, and 44.9 ± 2.9 mm (6.5% uncertainty) in the Kharif season, to 226.2 ± 5.8 mm (2.5% uncertainty) in Rabi 2017. This variation must be related to groundwater recharge estimates that range from 10 mm to 160 mm·yr−1 in the Hyderabad region. These dynamic agro-hydrological variables estimated from Sentinel remote sensing data are crucial in calibrating runoff, aquifer recharge, water use and evapotranspiration for the spatially distributed agro-hydrological models employed to quantify the impacts of agriculture on water resources.
Published: 2017

12. Aquaculture and marine protected areas: Potential opportunities and synergies

Author: Davide Fezzardi, Dror L. Angel, Miriam Callier, Emmanuelle Roque, Doris Soto, Adam D. Hughes, Francoise Simard, Giovanna Marino, Laure Elise Hochart, David De Monbrison, Raphaëla Le Gouvello, Dan Laffoley, Alasdair Harris, Carlos Andrade, Selina M. Stead, Ricardo Haroun, Fabio Massa, Aménagement des Usages des Ressources et des Espaces marins et littoraux - Centre de droit et d'économie de la mer (AMURE), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), International Union for Conservation of Nature (IUCN), Observatório Oceânico da Madeira (OOM), University of Haifa [Haifa], MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), BRL Ingénierie, Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Université de Las Palmas de Gran Canaria [Espagne] (ULPGC), Blue Ventures, Level 2 Annex, Omnibus Business Centre, 39-41 North Road, London N7 9DP, United Kingdom., Scottish Association for Marine Science (SAMS), Universidad de Concepción [Chile], Newcastle University [Newcastle], Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), and European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC)
Subjects: 0106 biological sciences, marine protected area, [SDE.MCG]Environmental Sciences/Global Changes, sublittoral, Aquaculture, Aquatic Science, 01 natural sciences, 12. Responsible consumption, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, 11. Sustainability, Environmental impact assessment, 14. Life underwater, Ecosystem approach, Nature and Landscape Conservation, Sustainable development, Convention on Biological Diversity, Food security, Ecology, Overfishing, environmental impact assessment, business.industry, 010604 marine biology & hydrobiology, Corporate governance, Environmental resource management, 04 agricultural and veterinary sciences, 15. Life on land, ocean, aquaculture, littoral, 13. Climate action, Littoral, 040102 fisheries, 0401 agriculture, forestry, and fisheries, Marine protected area, ecosystem approach, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business
Abstract: International audience; * To meet the Convention on Biological Diversity's Aichi Target 11 on marine biodiversity protection and Aichi Target 6 on sustainable fisheries by 2020, as well as the Sustainable Development Goal (SDG) 2 on food security and SDG 14 on oceans by 2030, there is an urgent need to rethink how best to reconcile nature conservation and sustainable development. * This paper argues for effective governance to support processes that apply principles of sustainable development and an ecosystem approach to decide about economic activities at sea such as aquaculture. It describes opportunities, benefits and synergies between aquaculture and MPAs as a basis for wider debate. The scope is not a comprehensive analysis of aquaculture and MPAs, but rather to present examples of positive interactions between aquaculture activities and MPAs. The unintended negative consequences are also discussed to present balanced arguments. * This work draws from four workshops held in 2015 and 2016 and used to collect information from about 100 experts representing various sectors and perspectives. * It is recognized that aquaculture is an important activity in terms of sustainable development. It can play a role in providing food security, poverty alleviation and economic resilience, in particular for MPA local communities, and contribute to wild stock enhancement, as an alternative to overfishing and for providing services to the ecosystem. * This study showed that there is a need from both aquaculture and MPA sides for clarity of objectives and willingness for open and extensive dialogue. The paper concludes by describing a number of tools and methods for supporting greater synergies between aquaculture and MPAs. * The results from this work have already helped to build a common understanding between conservation and aquaculture and initiate a rapprochement for increasing synergies.
Published: 2017

13. Biophysical parameters mapping within the SPOT-5 Take 5 initiative

Author: Bohdan Yailymov, Sergii Skakun, Andrii Shelestov, Bettina Baruth, Andrii Kolotii, Raul Lopez Lozano, Space Research Institute, Partenaires INRAE, National Technical University of Ukraine 'Kyiv Polytechnic Institute' [Kiev], Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, NASA Goddard Space Flight Center (GSFC), MARS Unit, JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Shelestov, Andrii
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, [SDV]Life Sciences [q-bio], ukraine, agriculture intensive, 0211 other engineering and technologies, regression modeling, 02 engineering and technology, biophysical parameters, modèle de régression, forêt aléatoire, 01 natural sciences, lcsh:Oceanography, fraction of absorbed photosynthetically active radiation (fAPAR), Quantitative assessment, Satellite imagery, lcsh:GC1-1581, FAPAR, variable climatique, Computers in Earth Sciences, paramètre biophysique, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, General Environmental Science, Remote sensing, LAI, SPOT-5, machine learning, blé d'hiver, Applied Mathematics, lcsh:QE1-996.5, Vegetation, 15. Life on land, lcsh:Geology, Geography, Photosynthetically active radiation, Remote sensing (archaeology), Temporal resolution, [SDE]Environmental Sciences, acquisition d'image, Satellite, Scale (map), donnée satellitaire
Abstract: International audience; Leaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state. Remote sensing data from space can be used to estimate these parameters at regional and national scale. High temporal satellite imagery is usually required to capture main parameters of crop growth. In this paper, we assess efficiency of using satellite images at high spatial and temporal resolution acquired within the SPOT-5 Take 5 initiative for mapping biophysical parameters.
Published: 2017

14. Similar estimates of temperature impacts on global wheat yield by three independent methods

Author: Frank Ewert, Jakarat Anothai, P. V. Vara Prasad, Davide Cammarano, Curtis D. Jones, Elias Fereres, Margarita Garcia-Vila, Soora Naresh Kumar, Eckart Priesack, Phillip D. Alderman, Andrew J. Challinor, Reimund P. Rötter, Alex C. Ruane, Christian Folberth, Gerrit Hoogenboom, Pierre Martre, Roberto C. Izaurralde, Fulu Tao, Pramod K. Aggarwal, Mohamed Jabloun, Jordi Doltra, Joshua Elliott, Christoph Müller, Bing Liu, Iurii Shcherbak, Jeffrey W. White, Bruno Basso, Senthold Asseng, Pierre Stratonovitch, Peter J. Thorburn, Claas Nendel, Taru Palosuo, Joost Wolf, Ann-Kristin Koehler, Thilo Streck, Jørgen E. Olesen, David B. Lobell, Kurt Christian Kersebaum, Delphine Deryng, L. A. Hunt, Garry O'Leary, Katharina Waha, Giacomo De Sanctis, Daniel Wallach, Yan Zhu, James W. Jones, Elke Stehfest, Mikhail A. Semenov, Christian Biernath, Claudio O. Stöckle, Thomas A. M. Pugh, Matthew P. Reynolds, Enli Wang, Bruce A. Kimball, Erwin Schmid, Iwan Supit, Zhigan Zhao, Michael J. Ottman, Sebastian Gayler, Cynthia Rosenzweig, Ehsan Eyshi Rezaei, Gerard W. Wall, National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricutural University, Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Potsdam Institute for Climate Impact Research (PIK), Institute of Crop Science and Resource Conservation [Bonn] (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF), Leibniz Association, Center for Climate Systems Research [New York] (CCSR), Columbia University [New York], Computation Institute, Loyola University of Chicago, Department of Environmental Earth System Science and Center on Food Security and the Environment, Stanford University, Génétique Diversité et Ecophysiologie des Céréales (GDEC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de la Recherche Agronomique (INRA), NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, CGIAR Research Program on Climate Change, Agriculture and Food Security, Borlaug Institute for South Asia, CIMMYT, Consultative Group on International Agricultural Research (CGIAR), Department of Plant and Soil Sciences, Mississippi State University [Mississippi], Department of Plant Science, Faculty of Natural Resources, Prince of Songkla University (PSU), Department of Geological Sciences, University of Oregon [Eugene], W. K. Kellogg Biological Station (KBS), Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Institute of Soil Ecology [Neuherberg] (IBOE), Helmholtz-Zentrum München (HZM), The James Hutton Institute, Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, CGIAR-ESSP Program on Climate Change, Agriculture and Food Security, International Center for Tropical Agriculture, European Commission - Joint Research Centre [Ispra] (JRC), Cantabrian Agricultural Research and Training Centre, Department of Agronomy, Purdue University [West Lafayette], Department of Geography, University of Liverpool, Ecosystem Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Institute of Soil Science and Land Evaluation, University of Hohenheim, AgWeatherNet Program, Washington State University (WSU), Department of Plant Agriculture, University of Guelph, Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Texas A and M AgriLife Research, Texas A&M University System, Department of Agroecology, Aarhus University [Aarhus], US Arid-Land Agricultural Research Center, United States Department of Agriculture, Centre for Environment Science and Climate Resilient Agriculture (CESCRA), Indian Agricultural Research Institute (IARI), Institute of Landscape Systems Analysis, Leibniz Centre for Agricultural Landscape Research, Landscape & Water Sciences, Department of Environment of Victoria, The School of Plant Sciences, University of Arizona, Natural resources institute Finland, Institute of Ecology, German Research Center for Environmental Health, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), School of Geography, Earth and Environmental Sciences [Birmingham], University of Birmingham [Birmingham], Birmingham Institute of Forest Research (BIFoR), International Maize and Wheat Improvement Center (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Center for Development Research (ZEF), Environmental Impacts Group, Georg-August-University [Göttingen], Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Computational and Systems Biology Department, Rothamsted Research, Biotechnology and Biological Sciences Research Council, Netherlands Environmental Assessment Agency, Department of Biological Systems Engineering, University of Wisconsin-Madison, PPS, WSG and CALM, Wageningen University and Research [Wageningen] (WUR), Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [Beijing] (CAS), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), USDA-ARS, Arid-Land Agricultural Research Center, China Agricultural University (CAU), National High-Tech Research and Development Program of China (2013AA100404), the National Natural Science Foundation of China (31271616, 31611130182, 41571088 and 31561143003), the National Research Foundation for the Doctoral Program of Higher Education of China (20120097110042), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China Scholarship Council., IFPRI through the Global Futures and Strategic Foresight project, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), the CGIAR Research Program on Wheat, the Agricultural Model Intercomparison and Improvement Project (AgMIP), Agricultural & Biological Engineering Department, University of Florida [Gainesville], Institute of Crop Science and Resource Conservation, University of Bonn-Division of Plant Nutrition, Stanford University [Stanford], Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Prince of Songkla University, Texas A&M AgriLife Research and Extension Center, Natural Resources Institute Finland, Georg-August-Universität Göttingen, Wageningen University and Research Center (WUR), China Agricultural University, Division of Plant Nutrition-University of Bonn, Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), University of Florida, Potsdam Institute for Climate Impact Research ( PIK ), Leibniz Centre for Agricultural Landscape Research, Institute for Landscape Biogeochemistry, Center for Climate Systems Research [New York] ( CCSR ), Écophysiologie des Plantes sous Stress environnementaux ( LEPSE ), Institut National de la Recherche Agronomique ( INRA ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), NASA Goddard Institute for Space Studies ( GISS ), NASA Goddard Space Flight Center ( GSFC ), Consultative Group on International Agricultural Research ( CGIAR ), W.K. Kellogg Biological Station, Institute of Soil Ecology [Neuherberg] ( IBOE ), Helmholtz-Zentrum München ( HZM ), James Hutton Institute, Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, European Commission - Joint Research Centre [Ispra] ( JRC ), International Institute for Applied Systems Analysis ( IIASA ), Washington State University ( WSU ), Texas A and M University ( TAMU ), Leibniz Centre for Agricultural Landscape Research (ZALF), Centre for Environment Science and Climate Resilient Agriculture ( CESCRA ), Indian Agricultural Research Institute ( IARI ), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung ( IMK-IFU ), Karlsruher Institut für Technologie ( KIT ), School of Geography, Earth & Environmental Science and Birmingham Institute of Forest Research, University of Birmingham, International Maize and Wheat Improvement Center ( CIMMYT ), Bonn Universität [Bonn], University of Natural Resources and Life Sciences, University of Wisconsin-Madison [Madison], Wageningen University and Research Center ( WUR ), Chinese Academy of Sciences [Beijing] ( CAS ), Commonwealth Scientific and Industrial Research Organisation, Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Université de Toulouse (UT)-Université de Toulouse (UT), Helmholtz Zentrum München = German Research Center for Environmental Health, Natural Resources Institute Finland (LUKE), Georg-August-University = Georg-August-Universität Göttingen, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Biotechnology and Biological Sciences Research Council (BBSRC), and Institute of geographical sciences and natural resources research [CAS] (IGSNRR)
Subjects: 0106 biological sciences, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, [ SDV.BV ] Life Sciences [q-bio]/Vegetal Biology, régression statistique, 010504 meteorology & atmospheric sciences, impact sur le rendement, klim, Atmospheric sciences, 01 natural sciences, incertitude, wheat, uncertainty, [ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences, 2. Zero hunger, changement climatique, Regression analysis, statistical regression, simulation, PE&RC, [ SDE.MCG ] Environmental Sciences/Global Changes, sécurité alimentaire, Plant Production Systems, modèle de récolte, Yield (finance), comparaison de modèles, [SDE.MCG]Environmental Sciences/Global Changes, Climate change, Environmental Science (miscellaneous), Earth System Science, blé, température, Life Science, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, réchauffement climatique, global change, 0105 earth and related environmental sciences, Hydrology, WIMEK, Global temperature, business.industry, Crop yield, Global warming, Climate Resilience, 13. Climate action, Agriculture, Klimaatbestendigheid, Plantaardige Productiesystemen, Environmental science, Leerstoelgroep Aardsysteemkunde, Climate model, business, Social Sciences (miscellaneous), 010606 plant biology & botany
Abstract: The potential impact of global temperature change on global crop yield has recently been assessed with different methods. Here we show that grid-based and point-based simulations and statistical regressions (from historic records), without deliberate adaptation or CO2 fertilization effects, produce similar estimates of temperature impact on wheat yields at global and national scales. With a 1 °C global temperature increase, global wheat yield is projected to decline between 4.1% and 6.4%. Projected relative temperature impacts from different methods were similar for major wheat-producing countries China, India, USA and France, but less so for Russia. Point-based and grid-based simulations, and to some extent the statistical regressions, were consistent in projecting that warmer regions are likely to suffer more yield loss with increasing temperature than cooler regions. By forming a multi-method ensemble, it was possible to quantify ‘method uncertainty’ in addition to model uncertainty. This significantly improves confidence in estimates of climate impacts on global food security. The potential impact of global temperature change on global crop yield has recently been assessed with different methods. Here we show that grid-based and point-based simulations and statistical regressions (from historic records), without deliberate adaptation or CO2 fertilization effects, produce similar estimates of temperature impact on wheat yields at global and national scales. With a 1 °C global temperature increase, global wheat yield is projected to decline between 4.1% and 6.4%. Projected relative temperature impacts from different methods were similar for major wheat-producing countries China, India, USA and France, but less so for Russia. Point-based and grid-based simulations, and to some extent the statistical regressions, were consistent in projecting that warmer regions are likely to suffer more yield loss with increasing temperature than cooler regions. By forming a multi-method ensemble, it was possible to quantify ‘method uncertainty’ in addition to model uncertainty. This significantly improves confidence in estimates of climate impacts on global food security.
Published: 2016

15. Changes in land use and management led to a decline in Eastern Europe’s terrestrial carbon sink

Author: Winkler, Karina, Yang, Hui, Ganzenmüller, Raphael, Fuchs, Richard, Ceccherini, Guido, Duveiller, Grégory, Grassi, Giacomo, Pongratz, Julia, Bastos, Ana, Shvidenko, Anatoly, Araza, Arnan, Herold, Martin, Wigneron, Jean-Pierre, Ciais, Philippe, Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Wageningen University and Research [Wageningen] (WUR), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Ludwig-Maximilians-Universität München (LMU), European Commission - Joint Research Centre [Ispra] (JRC), Max Planck Institute for Meteorology (MPI-M), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Subjects: land use change, Earth sciences, carbon budget, forest, climate mitigation, [SDU]Sciences of the Universe [physics], ddc:550, Eastern Europe, above-ground biomass
Abstract: Land-based mitigation is essential in reducing net carbon emissions. Yet, the attribution of carbon fluxes remains highly uncertain, in particular for the forest-rich region of Eastern Europe (incl. Western Russia). Here we integrate various data sources to show that Eastern Europe accounted for an above-ground biomass carbon sink of ~0.41 gigatons of carbon per year over the period 2010–2019, that is 78% of the entire European carbon sink. We find that this carbon sink is declining, mainly driven by changes in land use and land management, but also by increasing natural disturbances. Based on a random forest model, we show that land use and management changes are main drivers of the declining carbon sink in Eastern Europe, although soil moisture variability is also important. Specifically, the saturation effect of tree regrowth in abandoned agricultural areas, combined with increasing wood harvest removals, particularly in European Russia, contributed to the decrease in the Eastern European carbon sink.
Published: 2023

16. An iterative optimization scheme to accommodate inequality constraints in air quality geostatistical estimation of multivariate PM

Author: Beauchamp, Maxime, Bessagnet, Bertrand, Océan Dynamique Observations Analyse (ODYSSEY), Université de Bretagne Occidentale - UFR Sciences et Techniques (UBO UFR ST), Université de Brest (UBO)-Université de Brest (UBO)-Université de Rennes (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Mathematical and Electrical Engineering (IMT Atlantique - MEE), IMT Atlantique (IMT Atlantique), Equipe Observations Signal & Environnement (Lab-STICC_OSE), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), and European Commission - Joint Research Centre [Ispra] (JRC)
Subjects: History, Polymers and Plastics, air quality cokriging optimization penalization, Business and International Management, [MATH]Mathematics [math], Industrial and Manufacturing Engineering
Abstract: International audience; The kriging-based estimation of the different types of atmospheric particulate matter (PM) pollutions defined in the air quality regulation raises some operational problems because the (co)kriging equations are obtained by minimizing a linear combination of the estimation variances subject to unbiasedness constraints. As a consequence, the estimation process can result in total PM10 concentrations that are less than the PM2.5 concentrations which would be physically impossible. In a previous publication, it was shown that a convenient external drift modelling can reduce the number of spatial locations where the inequality constraint is not satisfied, without completely solving the problem. In this work, the formulation of the cokriging system is modified, inspired by previous works focusing on positive kriging. The introduction of additional constraints on the cokriging weights are presented, leading to a unique and optimal solution to the problem of cokriging under inequality constraints between two variables. Some computational and algorithmic details are introduced. An evaluation of the penalized cokriging is provided by using the European PM monitoring sites dataset: some maps and performance scores are given to assess the relevance of our iterative optimization scheme.
Published: 2023

17. Uses of Innovative Modeling Tools within the Implementation of the Marine Strategy Framework Directive

Author: Christian Möllmann, Guillem Chust, Suzanna Neville, Ana M. Queirós, Chiara Piroddi, Axel G. Rossberg, Yolanda Sagarminaga, Rodney M. Forster, Helena Veríssimo, Christian Wilson, Kieran Hyder, Marta Revilla, Laura Uusitalo, Nathalie Niquil, Ibon Galparsoro, Heliana Teixeira, Christopher P. Lynam, Letizia Tedesco, Joana Patrício, European Commission, Centre for Environment, Fisheries and Aquaculture Science [Lowestoft] (CEFAS), Finnish Environment Institute (SYKE), European Commission [Brussels], Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Plymouth Marine Laboratory (PML), European Commission - Joint Research Centre [Ispra] (JRC), Queen Mary University of London (QMUL), AZTI - Tecnalia, Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Normandie Université (NU), University of Hamburg, University of Hull [United Kingdom], University of Coimbra [Portugal] (UC), and Plymouth Marine Laboratory
Subjects: 0106 biological sciences, marine management, lcsh:QH1-199.5, Good Environmental Status, Computer science, Ocean Engineering, lcsh:General. Including nature conservation, geographical distribution, Aquatic Science, Oceanography, 010603 evolutionary biology, 01 natural sciences, Marine Strategy Framework Directive, marine strategy framework directive, Ecosystem model, media_common.cataloged_instance, Marine Science, 14. Life underwater, European union, Decision-making, lcsh:Science, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, Water Science and Technology, media_common, Global and Planetary Change, ecosystem modeling, [SDE.IE]Environmental Sciences/Environmental Engineering, business.industry, 010604 marine biology & hydrobiology, Scale (chemistry), Environmental resource management, ecosystem modelling, 15. Life on land, Directive, [SDE.ES]Environmental Sciences/Environmental and Society, Ecosystem-based management, indicators, 13. Climate action, Marine Strategy Framework Directive (MSFD), assessment cycle, lcsh:Q, business
Abstract: In Europe and around the world, the approach to management of the marine environment has developed from the management of single issues (e.g., species and/or pressures) toward holistic Ecosystem Based Management (EBM) that includes aims to maintain biological diversity and protect ecosystem functioning. Within the European Union, this approach is implemented through the Marine Strategy Framework Directive (MSFD, 2008/56/EC). Integrated Ecosystem Assessment is required by the Directive in order to assess Good Environmental Status (GES). Ecological modeling has a key role to play within the implementation of the MSFD, as demonstrated here by case studies covering a range of spatial scales and a selection of anthropogenic threats. Modeling studies have a strong role to play in embedding data collected at limited points within a larger spatial and temporal scale, thus enabling assessments of pelagic and seabed habitat. Furthermore, integrative studies using food web and ecosystem models are able to investigate changes in food web functioning and biological diversity in response to changes in the environment and human pressures. Modeling should be used to: support the development and selection of specific indicators; set reference points to assess state and the achievement of GES; inform adaptive monitoring programs and trial management scenarios. The modus operandi proposed shows how ecological modeling could support the decision making process leading to appropriate management measures and inform new policy., This manuscript is a result of DEVOTES (DEVelopment Of innovative Tools for understanding marine biological diversity and assessing good Environmental Status) project, funded by the European Union under the 7th Framework Programme, “The Ocean of Tomorrow” Theme (grant agreement no. 308392), www.devotes-project.eu.
Published: 2016

18. How synchronous is wind energy production among European countries?

Author: Marco Gaetani, Elisabetta Vignati, F. Monforti, JRC Institute for Energy and Transport (IET), European Commission - Joint Research Centre [Petten], Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Engineering, ENSEMBLES, 020209 energy, 02 engineering and technology, Complementarity, 7. Clean energy, Energy policy, Energy development, Intermittent energy source, 0202 electrical engineering, electronic engineering, information engineering, Operations management, Feed-in tariff, Wind energy, Pumped-storage hydroelectricity, Wind power potential, Wind power, business.industry, Renewable Energy, Sustainability and the Environment, Environmental economics, National Renewable Energy Action Plans, Renewable energy, Offshore wind power, Power transmission grid, 13. Climate action, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, business
Abstract: International audience; The amount of wind energy entering the European electricity transmission system is expected to increase in next decades. Indeed, Europe is on the path towards a deep transformation of its energy system, triggered in part by Directive 2009/28/EC (also known as the Renewable Energy Directive), in which wind energy will play an important role. Europe is large enough to be impacted by multiple weather systems at any one time and as a consequence , absolute values and time patterns of wind power generation are different in each European country because of these non-homogeneous meteorological conditions. A future pan-European power transmission grid aiming to dispatch electricity production throughout the continent will thus have to face the challenge of balancing in real time differently intermittent and strongly inhomogeneous resources. In this study, based on the wind fields provided at daily resolution for the period 1961–2050 by 12 regional climate models involved in the ENSEMBLES climate modelling intercomparison project, we have evaluated absolute national and European wind power production and its expected changes following the evolution of climate in Europe. Moreover, we have suggested a methodology to investigate in a quantitative way the complementarity among wind power patterns in different countries. Results show that the evolution of climate in Europe as projected by the ENSEMBLES participants, is not expected to have major impact on absolute wind energy production. Furthermore, the complementarity of wind energy patterns in different countries can be exploited by better integration of trans-boundary power exchange in Europe. For this reason, results are also discussed in the light of the design and dimensioning of the European electricity transmission system, with a special emphasis on the cross-border inter-connections issues.
Published: 2016

19. Spatial distribution of precipitation annual cycles over South Africa in 10 CORDEX regional climate model present-day simulations

Author: Alice Favre, Alessandro Dosio, Hans-Juergen Panitz, Benjamin Pohl, Nathalie Philippon, Grigori Nikulin, Ruth Cerezo-Mota, Christopher Lennard, Bruce Hewitson, Evangelia-Anna Kalognomou, Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Climate System Analysis Group (CSAG), University of Cape Town, Laboratory of Heat Transfer and Environmental Engineering [Thessaloniki] (LHTEE), Aristotle University of Thessaloniki, Rossby Centre, SMHI, Norrköping, 601 76, Sweden, Swedish Meteorological and Hydrological Institute (SMHI), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Laboratorio de Ingenería y Procesos Costeros, Universidad Nacional Autónoma de México (UNAM), Biogéosciences [Dijon] ( BGS ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Climate System Analysis Group ( CSAG ), Laboratory of Heat Transfer and Environmental Engineering, Rossby Centre, Swedish Meteorological and Hydrological Institute ( SMHI ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Institut für Meteorologie und Klimaforschung, Karlsruher Institut für Technologie ( KIT ), and Universidad Nacional Autónoma de México ( UNAM )
Subjects: Wet season, Atmospheric Science, 010504 meteorology & atmospheric sciences, CORDEX-Africa, 0208 environmental biotechnology, Annual cycle of precipitation, 02 engineering and technology, Spatial distribution, 01 natural sciences, Regional climate model, medicine, Precipitation, Evaluation, 0105 earth and related environmental sciences, Orography, Seasonality, medicine.disease, 020801 environmental engineering, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Climatology, Environmental science, Common spatial pattern, Climate model, [ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology, Downscaling
Abstract: 20 pages; International audience; This study presents an evaluation of the ability of 10 regional climate models (RCMs) participating in the COordinated Regional climate Downscaling Experiment-Africa to reproduce the present-day spatial distribution of annual cycles of precipitation over the South African region and its borders. As found in previous studies, annual mean precipitation is quasi-systematically overestimated by the RCMs over a large part of southern Africa south of about 20°S and more strongly over South Africa. The spatial analysis of precipitation over the studied region shows that in most models the distribution of biases appears to be linked to orography. Wet biases are quasi-systematic in regions with higher elevation with inversely neutral to dry biases particularly in the coastal fringes. This spatial pattern of biases is particularly obvious during summer and specifically at the beginning of the rainy season (November and December) when the wet biases are found to be the strongest across all models. Applying a k-means algorithm, a classification of annual cycles is performed using observed precipitation data, and is compared with those derived from modeled data. It is found that the in-homogeneity of the spatial and temporal distribution of biases tends to impact the modeled seasonality of precipitation. Generally, the pattern of rainfall seasonality in the ensemble mean of the 10 RCMs tends to be shifted to the southwest. This spatial shift is mainly linked to a strong overestimation of convective precipitation at the beginning of the rainy season over the plateau inducing an early annual peak and to an underestimation of stratiform rainfall in winter and spring over southwestern South Africa.
Published: 2016

20. Projections of future floods and hydrological droughts in Europe under a +2°C global warming

Author: Wouter Greuell, Fulco Ludwig, Jafet Andersson, Chantal Donnelly, Luc Feyen, Philippe Roudier, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Swedish Meteorological and Hydrological Institute (SMHI), Climate and Risk Management Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Wageningen University and Research [Wageningen] (WUR), European Project: 282746,EC:FP7:ENV,FP7-ENV-2011,IMPACT2C(2011), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)
Subjects: Return period, Atmospheric Science, Global and Planetary Change, WIMEK, 010504 meteorology & atmospheric sciences, Flood myth, [SDE.MCG]Environmental Sciences/Global Changes, 0208 environmental biotechnology, Global warming, Climate change, 02 engineering and technology, 01 natural sciences, Earth System Science, 020801 environmental engineering, Geography, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Climatology, Leerstoelgroep Aardsysteemkunde, Life Science, Water Systems and Global Change, Climate model, 0105 earth and related environmental sciences
Abstract: International audience; We present an assessment of the impacts of a +2°C global warming on extreme floods and hydrological droughts (1 in 10 and 1 in 100 year events) in Europe using eleven bias-corrected climate model simulations from CORDEX Europe and three hydrological models. The results show quite contrasted results between northern and southern Europe. Flood magnitudes are expected to increase significantly south of 60oN, except for some regions (Bulgaria, Poland, south of Spain) where the results are not significant. The sign of these changes are particularly robust in large parts of Romania, Ukraine, Germany, France and North of Spain. North of this line, floods are projected to decrease in most of Finland, NW Russia and North of Sweden, with the exception of southern Sweden and some coastal areas in Norway where floods may increase. The results concerning extreme droughts are less robust, especially for drought duration where the spread of the results among the members is quite high in some areas. Anyway, drought magnitude and duration may increase in Spain, France, Italy, Greece, the Balkans, south of the UK and Ireland. Despite some remarkable differences among the hydrological models’ structure and calibration, the results are quite similar from one hydrological model to another. Finally, an analysis of floods and droughts together shows that the impact of a +2°C global warming will be most extreme for France, Spain, Portugal, Ireland, Greece and Albania. These results are particularly robust in southern France and northern Spain.
Published: 2016

21. A comprehensive survey on selective breeding programs and seed market in the European aquaculture fish industry

Author: Chavanne, Hervé, Janssen, Kasper, Hofherr, Johann, Contini, Franca, Haffray, Pierrick, Aquatrace Consortium, Null, Komen, Hans, Nielsen, Einar Eg, Bargelloni, Luca, Department of Comparative Biomedicine and Food Science, Universita degli Studi di Padova, Department of Animal Breeding and Genetics, Institute of Agricultural Sciences for Southern Vietnam, Maritime Affairs Unit [Ispra], JRC Institute for the Protection and Security of the Citizen [Ispra] (IPSC), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Syndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), Section for Population Ecology and Genetics, National Institute of Aquatic Resources, and Technical University of Denmark [Lyngby] (DTU)
Subjects: 0301 basic medicine, Animal breeding, finfish, Artificial fertilization, Fish farming, [SDV]Life Sciences [q-bio], european aquaculture, Biology, Aquatic Science, Animal Breeding and Genomics, Selective breeding, 03 medical and health sciences, Aquaculture, seed market, Fokkerij en Genomica, survey, 14. Life underwater, Market share, Survey, Seed market, selective breeding, European aquaculture, business.industry, 04 agricultural and veterinary sciences, Finfish, Hatchery, Biotechnology, Agronomy and Crop Science, Fishery, 030104 developmental biology, 040102 fisheries, Fish hatchery, WIAS, 0401 agriculture, forestry, and fisheries, business
Abstract: The use of selective breeding is still relatively limited in aquaculture species. Information on such activities is sparse, hindering an overall evaluation of their success. Here, we report on the results of an online survey of the major aqua-culture breeding companies operating in Europe. Six main reared fish species were targeted. A total of 31 respondents contributed to the survey, representing 75 % of European breeding organizations. Family-based breeding schemes were predominant, but individual selection was more frequently applied in marine species. Artificial fertilization is the preferred means of reproduction; however, mass spawning is often used as a fallback method. The most frequently selected trait is growth performance, but the number of selected traits has been increasing over the years through the addition of traits such as disease resistance or product quality. The use of molecular tools is now common in all programs, mainly for pedigree traceability. An increasing number of programs use either genomic or marker-assisted selection. Results related to the seed production market confirmed that for Atlantic salmon there are a few dominant players at the European level, with 30–50 % market share. Only part of the European fish aquaculture industry today fully exploits selective breeding to the best advantage. A larger impact assessment still needs to be made by the remainder, particularly on the market share of fish seed (eggs, larvae or juveniles) and its consequences for hatchery stability.
Published: 2016

22. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex

Author: Derek W. Morris, Carles Soriano-Mas, Tomáš Paus, Henrik Walter, Dick J. Veltman, Yuqi Cheng, Benjamin S. Aribisala, Anna Cattrell, Hilleke E. Hulshoff Pol, Vatche G. Baboyan, Simon E. Fisher, Michael N. Smolka, Saskia P. Hagenaars, Sarah Jurk, Roberto Roiz-Santiañez, Nicholas G. Martin, Lars T. Westlye, Odile A. van den Heuvel, Lucija Abramovic, Jan Egil Nordvik, Guillén Fernández, Jürgen Gallinat, Je Yeon Yun, Benson Mwangi, Ignacio Martínez-Zalacaín, Bernd Kraemer, Gareth J. Barker, José M. Menchón, Marie-Laure Paillère Martinot, Zhen Wang, Jan K. Buitelaar, Jean-Luc Martinot, Herve Lemaitre, Aiden Corvin, Henry Brodaty, Thomas Wolfers, Silvia Brem, Christine Lochner, Derrek P. Hibar, Susanne Walitza, Susana Muñoz Maniega, Premika S.W. Boedhoe, Nathalie Tzourio-Mazoyer, Uli Bromberg, Sonja M C de Zwarte, Dan J. Stein, Mark E. Bastin, Clyde Francks, Tobias U. Hauser, Sinead Kelly, Hugh Garavan, Omar Mothersill, Gary Donohoe, Neda Jahanshad, Greig I. de Zubicaray, Yoshinari Abe, Roel A. Ophoff, Christian Büchel, Esther Walton, Pieter J. Hoekstra, Nils Opel, Gunter Schumann, Jian Xu, Dara M. Cannon, Elena Shumskaya, Ingrid Agartz, Bernhard T. Baune, A. Marten H. Onnink, Tomohiro Nakao, Rosa Ayesa-Arriola, David Mataix-Cols, Sylvane Desrivières, Klaus-Peter Lesch, Paul Pauli, Wei Wen, Nora C. Vetter, Martine Hoogman, Ganesan Venkatasubramanian, Miguel E. Rentería, Ole A. Andreassen, Penny A. Gowland, Ian J. Deary, Patricia J. Conrod, Nicola J. Armstrong, Masaki Fukunaga, Vince D. Calhoun, Volker Arolt, Dimitri Papadopoulos Orfanos, Benedicto Crespo-Facorro, Lachlan T. Strike, Natalie A. Royle, Joanna M. Wardlaw, Sarah E. Medland, Annette Conzelmann, Andrea Gonzalez Suarez, Arun L.W. Bokde, Ryota Hashimoto, Robert Whelan, Michelle Luciano, Pascual Sánchez-Juan, Neeltje E.M. van Haren, Hao Hu, Luise Poustka, Jun Soo Kwon, Hans J. Grabe, Andreas Heinz, Katharina Wittfeld, Michael Gill, Erik G. Jönsson, Frauke Nees, Perminder S. Sachdev, Oliver Gruber, David C. Glahn, Chaim Huyser, Anushree Bose, Herta Flor, Janardhan Y. C. Reddy, Bernd Ittermann, John Blangero, Dennis van der Meer, Andre F. Marquand, Xiufeng Xu, Tulio Guadalupe, Dominik Grotegerd, Jessica A. Turner, Annerine Roos, Tobias Banaschewski, Theo G.M. vanErp, Jean-Paul Fouche, Paul M. Thompson, Alejandro Arias-Vasquez, Christopher D. Whelan, Maria del C. Valdés Hernández, Eric Artiges, Janardhanan C. Narayanaswaamy, Thomas Espeseth, Bernard Mazoyer, Katie L. McMahon, Erlend S. Dørum, Samantha J. Brooks, Samuel R. Mathias, Vincent Frouin, Fleur M. Howells, Barbara Franke, Colm McDonald, Jingjing Zhao, Daniella Vuletic, Nhat Trung Doan, Harald Kugel, Lianne Schmaal, Marcel P. Zwiers, Fabrice Crivello, Anne Uhlmann, Karen A. Mather, René S. Kahn, Roberto Toro, Stefan Ehrlich, Udo Dannlowski, Jair C. Soares, Takashi Nakamae, Margaret J. Wright, RS: MHeNs - R3 - Neuroscience, Psychiatrie & Neuropsychologie, Psychiatry, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Child Psychiatry, Other departments, ANS - Complex Trait Genetics, International Max Planck Research School for Language Sciences (IMPRS ), Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Language and Genetics Department [Nijmegen], Yale University [New Haven], Department of Psychiatry and Human Behavior, University of California [Irvine] (UCI), University of California-University of California, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Department of Psychiatry, Graduate School of Medical Science Kyoto Prefectural University of Medicine Kyoto Japan, University Medical Center [Utrecht], KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], University of Oslo (UiO), Department of Human Genetics, Radboud University Medical Center [Nijmegen], Department of Psychiatry, Donders Centre for Neuroscience, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], University of Edinburgh, Lagos State University (LASU), Heriot-Watt University [Edinburgh] (HWU), Mental Health Sciences Unit, University College of London [London] (UCL), Adolescent psychopathology and Medicine, CHU Cochin [AP-HP], Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Hospital Sant Joan de Déu [Barcelona], Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), University of Southern California (USC), Department of Child and Adolescent Psychiatry and Psychotherapy [Mannheim], Universität Heidelberg [Heidelberg], Centre for Neuroimaging Sciences, Institute of Psychiatry, King‘s College London, University of Adelaide, The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, Texas], Discipline of Psychiatry [Dublin], School of Medicine [Dublin], Trinity College Dublin-Trinity College Dublin, VU University Medical Center [Amsterdam], National Institute of Mental Health and Neurosciences [Bagalore, India], Hospital of the University of Pennsylvania, Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia], Dementia Collaborative Research Centre, University of New South Wales [Sydney] (UNSW), Centre for Healthy Brain Ageing, Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud university [Nijmegen]-Radboud university [Nijmegen], The Mind Research Network, Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Institute of Psychiatry, Psychology & Neuroscience, King's College London, Center for disease control, China (Chinese CDC), Center for Disease Control, China, Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), University of Würzburg, Germany, Tübingen, Würzburg, Germany, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Trinity College Dublin-St. James's Hospital, Groupe d'imagerie neurofonctionnelle (GIN), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), School of Psychology, University of Queensland, University of Queensland [Brisbane], MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), sans affiliation, Universität Mannheim [Mannheim], Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Division of Cerebral Integration National Institute for Physiological Sciences Okazaki Japan, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, University of Calgary, Sir Peter Mansfield Magnetic Resonance Centre [Nottingham], University of Nottingham, UK (UON), Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University [Osaka], University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zürich [Zürich] (UZH), University Medical Center Groningen [Groningen] (UMCG), Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Brain Centre Rudolf Magnus [Utrecht], MetaCase [Jyväskylä], Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Department of Psychiatry & Behavioral Science Seoul National University College of Medicine Seoul Republic of Korea, Université de Cergy Pontoise (UCP), Université Paris-Seine, Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Medstar Research Institute, Neuroimagerie en psychiatrie (U1000), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Sud - Paris 11 (UP11), IFR de Neuroimagerie Fonctionnelle (IFR 49), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Life Sciences, Imperial College London, Centre for Advanced Imaging, Queensland Institute of Medical Research, Institut d'Investigació Biomèdica de Bellvitge [Barcelone] (IDIBELL), Universitat de Barcelona (UB), National University of Ireland [Galway] (NUI Galway), Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Sunnaas Rehabilitation Hospital HT Nesodden Norway, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University-McGill University, Texas A&M University [College Station], QIMR Berghofer Medical Research Institute, Universiteit van Amsterdam (UvA), Centre for Healthy Brain Ageing [Sydney], The University of Sydney, CIBER de Enfermedades Neurodegenerativas (CIBERNED), Göttingen Zentrum Geowissenschaften, Georg-August-Universität Göttingen, Technische Universität Dresden (TUD), Instituto de Geociências, Universidade de Brasília, Magnetic Resonance Imaging, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa, Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, School of Psychology, University of Queensland, Brisbane 4072, Australia, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], University of York [York, UK], Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands, University of Twente [Netherlands], Berlin School of Mind and Brain [Berlin], Humboldt Universität zu Berlin, Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Computational and Applied Mathematics [Houston], Rice University [Houston], Department of Physics [Kowloon], Hong Kong University of Science and Technology (HKUST), University College Dublin [Dublin] (UCD), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Greifswald University Hospital, University of Missouri [Columbia], University of Missouri System, Mechanics surfaces and materials processing (MSMP), École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Department of Genetics, North Carolina State University [Raleigh] (NC State), University of North Carolina System (UNC)-University of North Carolina System (UNC), Dpt of Psychiatry [New Haven], Yale University School of Medicine, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Radboud University [Nijmegen], Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Universität Heidelberg [Heidelberg] = Heidelberg University, Texas Biomedical Research Institute [San Antonio, TX], University of Pennsylvania-University of Pennsylvania, Radboud University [Nijmegen]-Radboud University [Nijmegen], [GIN] Grenoble Institut des Neurosciences (GIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Sans affiliation, Universität Mannheim, Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Universität Zürich [Zürich] = University of Zurich (UZH), Seoul National University [Seoul] (SNU), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Centro de Investigacion Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III [Madrid] (ISC), Georg-August-University = Georg-August-Universität Göttingen, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), University of Twente, Humboldt University Of Berlin, Centre épigénétique et destin cellulaire (EDC), Department of Physics [Hong Kong University of Science and Technology], University of Missouri [Columbia] (Mizzou), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Yale School of Medicine [New Haven, Connecticut] (YSM), Hal, GIN, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Sud - Paris 11 (UP11), Georg-August-University [Göttingen], Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Humboldt-Universität zu Berlin, International Max Planck Research School for Language Sciences ( IMPRS ), Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands, Department of Psychiatry Yale School of Medicine New Haven USA, University of California [Irvine] ( UCI ), Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California, Los Angeles, California, USA, Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands, University of Oslo ( UiO ) -Institute of Clinical Medicine-Oslo University Hospital, NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo N-0316, Norway, Donders Centre for Neuroscience, Radboud University Nijmegen Medical Centre, Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK, Department of Computer Science, Lagos State University, Lagos, Nigeria, Brain Research Imaging Centre, University of Edinburgh, Edinburgh EH4 2XU, UK, Heriot-Watt University [Edinburgh] ( HWU ), University College of London [London] ( UCL ), Centro de Investigación Biomédica en Red de Salud Mental ( CIBERSAM ), Cibersam (Centro Investigación Biomédica en Red Salud Mental), Madrid 28029, Spain, Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA, The University of Adelaide, University of Texas Health Science Center, San Antonio, Texas 78229, USA, Texas Biomedical Research Institute, San Antonio, Texas 78245, USA, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India, Hospital of the University of Pennsylvania, University of New South Wales [Sydney] ( UNSW ), Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] ( UKE ), The Mind Research Network & LBERI, Albuquerque, New Mexico 87106, USA, Department of ECE, University of New Mexico, Albuquerque, New Mexico 87131, USA, National Institutes of Health ( NIH ) -National Institute of Mental Health (NIMH), King's College, Center for disease control, China ( Chinese CDC ), GIN - IMN UMR 5293 CNRS CEA Université de Bordeaux, Institut des Maladies Neurodégénératives [Bordeaux] ( IMN ), Université de Bordeaux ( UB ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bordeaux ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK, MRC- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK, Institut Armand Frappier ( INRS-IAF ), Institut National de la Recherche Scientifique [Québec] ( INRS ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut Armand Frappier, NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo 0424, Norway, Institut national de la recherche agronomique [Jouy en Josas] ( INRA Jouy en Josas ), Department of Psychology, University of Oslo, Oslo 0373, Norway, Service NEUROSPIN ( NEUROSPIN ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Charite-Universitatsmedizin Berlin [Berlin], University of Nottingham, UK ( UON ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Osaka 565-0871, Japan, (UCCAP) University of Zurich Zurich Switzerland, University Medical Center Groningen, University of Groningen, Karolinska University Hospital (Solna), Université de Cergy Pontoise ( UCP ), Bonn Universität [Bonn], Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Neuroimagerie en psychiatrie ( U1000 ), Université Paris-Sud - Paris 11 ( UP11 ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), IFR de Neuroimagerie Fonctionnelle ( IFR 49 ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia, Institut d'Investigació Biomèdica de Bellvitge [Barcelone] ( IDIBELL ), Universitat de Barcelona ( UB ), National University of Ireland [Galway] ( NUI Galway ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ) -European Commission - Joint Research Centre [Ispra] ( JRC ), University Medical Center Utrecht-Brain Center Rudolf Magnus, McConnell Brain Imaging Centre ( MNI ), Montreal Neurological Institute [Montréal], Universiteit van Amsterdam ( UvA ), The University of Sydney [Sydney], Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 HL, The Netherlands, Technische Universität Dresden ( TUD ), Génétique humaine et Fonctions cognitives - Human Genetics and Cognitive Functions, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Centre épigénétique et destin cellulaire ( EDC ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Hong Kong University of Science and Technology ( HKUST ), University College Dublin [Dublin] ( UCD ), German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Greifswald 17487, Germany, Department of Psychiatry, University Medicine Greifswald, Greifswald 17489, Germany, University of Missouri-Columbia, Mechanics surfaces and materials processing ( MSMP ), North Carolina State University [Raleigh] ( NCSU ), and Yale School of Medicine
Subjects: Male, Aging, Planum temporale, Caudate nucleus, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Subcortical brain asymmetry, Functional Laterality, Behavioral Neuroscience, 0302 clinical medicine, pathology [Aging], ddc:150, 130 000 Cognitive Neurology & Memory, Basal ganglia, YOUNG-ADULTS, Brain asymmetry, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Handedness, Original Research, Sex Characteristics, Age, Enigma, Heritability, Meta-analysis, Sex, Putamen, 05 social sciences, Brain, Human brain, Organ Size, Middle Aged, Magnetic Resonance Imaging, AMYGDALA VOLUME, Psychiatry and Mental health, genetics [Functional Laterality], Globus pallidus, medicine.anatomical_structure, Neurology, BASAL GANGLIA VOLUMES, Radiology Nuclear Medicine and imaging, genetics [Aging], [ SCCO.NEUR ] Cognitive science/Neuroscience, CAUDATE-NUCLEUS, Female, Psychology, Sex characteristics, MRI, Neuroinformatics, Adult, Adolescent, Cognitive Neuroscience, Clinical Neurology, BF, HAND PREFERENCE, 050105 experimental psychology, 150 000 MR Techniques in Brain Function, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, Quantitative Trait, Heritable, Meta-Analysis as Topic, medicine, Journal Article, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, diagnostic imaging [Brain], Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], [SCCO.NEUR]Cognitive science/Neuroscience, TOURETTE-SYNDROME, [SCCO.NEUR] Cognitive science/Neuroscience, PLANUM TEMPORALE, NORMAL INDIVIDUALS, HEMISPHERIC-DIFFERENCES, nervous system, RC0321, Neurology (clinical), Neuroscience, anatomy & histology [Brain], 030217 neurology & neurosurgery
Abstract: The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders. Electronic supplementary material The online version of this article (doi:10.1007/s11682-016-9629-z) contains supplementary material, which is available to authorized users.
Published: 2016

23. Evaluating changes in marine communities that provide ecosystem services through comparative assessments of community indicators

Author: Johanna J. Heymans, Jennifer L. Boldt, Scott I. Large, Didier Jouffre, Ibrahima Diallo, Gro I. van der Meeren, Morgane Travers-Trolet, F Borges Maria, Henn Ojaveer, Jorge Tam, Kristin N. Marshall, Marta Coll, Alida Bundy, Kristin M. Kleisner, Chiara Piroddi, Stephani G. Zador, Yunne-Jai Shin, Maria Angeles Torres, Christopher P. Lynam, Lynne J. Shannon, Maria J. Juan Jordá, Didier Gascuel, K. Tsagarakis, Clive Fox, Sea Around Us Project, University of British Columbia (UBC), Northeast Fisheries Science Center (NEFSC), NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), UMR 212 EME 'écosystèmes marins exploités' (EME), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM), Lowestoft Laboratory, Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Population Ecology Division, Bedford Institute of Oceanography, Marine Research Institute and Department of Biological Sciences, University of Cape Town, Pacific Biological Station (PBS), Fisheries and Oceans Canada (DFO), Instituto Português de Investigação do Mar e da Atmosfera (IPMA), Centre National des Sciences Halieutiques de Boussoura (CNSHB), Scottish Marine Institute, Écologie et santé des écosystèmes (ESE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Scottish Association for Marine Science, Marine Research Division, AZTI, Earth to Ocean Research Group (SFU), Simon Fraser University (SFU.ca), Ecologie des systèmes marins côtiers (Ecosym), Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université Montpellier 1 (UM1), School of Aquatic and Fishery Sciences, University of Washington, Estonian Marine Institute, University of Tartu, Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Instituto del Mar del Peru (IMARPE), Centro Oceanográfico de Cádiz, Instituto Español de Oceanografía, Department of Aquatic Resources, Institute of Coastal Research, Swedish University of Agricultural Sciences (SLU), Fisheries Laboratory, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Institute of Marine Biological Resources and Inland Waters, Hellenic Center for Marine Research (HCMR), Hjort Centre for Marine Ecosystem Dynamics, Alaska Fisheries Science Center (AFSC), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Institute of Coastal Research, Department of Aquatic Resources, and Swedish University of Agricultural Sciences (SLU)-Swedish University of Agricultural Sciences (SLU)
Subjects: Community metric, [SDV]Life Sciences [q-bio], fishing impacts, Geography, Planning and Development, Population, Context (language use), Management, Monitoring, Policy and Law, Ecological indicator, Ecosystem services, Comparative approach, IndiSeas, Abundance (ecology), Marine ecosystem, Ecosystem, 14. Life underwater, education, Nature and Landscape Conservation, Global and Planetary Change, Biomass (ecology), education.field_of_study, Ecology, business.industry, Environmental resource management, ecological indicator, Agricultural and Biological Sciences (miscellaneous), Fishing impacts, Geography, 13. Climate action, comparative approach, business, community metric
Abstract: We would like to thank the IndiSeas Working Group, endorsed by IOC-UNESCO (www.ioc-unesco.org) and the European Network of Excellence Euroceans (www.eur-oceans.eu). KMK was supported by Conservation International and the Sea Around Us project, a collaboration between The University of British Columbia and The Pew Charitable Trusts. MC was partially supported by the EC Marie Curie CIG grant to BIOWEB and the Spanish Research Program Ramon y Cajal. LJS was supported through the South African Research Chair Initiative, funded through the South African Department of Science and Technology (DST) and administered by the South African National Research Foundation (NRF). YJS and MIT were supported by the French project EMIBIOS (FRB, contract no. APP-SCEN-2010-11). US and YS were also funded by the European collaborative project MEECE - Marine Ecosystem Evolution in a Changing Environment - (FP7, Contract no. 212085). CPL was supported by Defra project MF1228 (From Physics to Fisheries) and DEVOTES (DEVelopment of innovative Tools for understanding marine biodiversity and assessing good Environmental Status) funded by EU FP7 (grant Agreement no. 308392), www.devotes-project.eu. GIvdM was partially supported by the Norwegian Nature Index programme and the Institute of Marine Research, Norway. HO was funded was funded by the Estonian Ministry of Education and Research (grant SF0180005s10). MAT was funded by a predoctoral FPI fellowship from the Spanish Institute of Oceanography (IEO). MJJJ was supported by the EC Marie Curie IOF Grant, PIOF-GA-2013-628116. We acknowledge all those who conducted surveys to collect the data used in this study.; Fisheries provide critical provisioning services, especially given increasing human population. Understanding where marine communities are declining provides an indication of ecosystems of concern and highlights potential conflicts between seafood provisioning from wild fisheries and other ecosystem services. Here we use the nonparametric statistic, Kendall's tau, to assess trends in biomass of exploited marine species across a range of ecosystems. The proportion of 'Non-Declining Exploited Species' (NDES) is compared among ecosystems and to three community-level indicators that provide a gauge of the ability of a marine ecosystem to function both in provisioning and as a regulating service: survey-based mean trophic level, proportion of predatory fish, and mean life span. In some ecosystems, NDES corresponds to states and temporal trajectories of the community indicators, indicating deteriorating conditions in both the exploited community and in the overall community. However differences illustrate the necessity of using multiple ecological indicators to reflect the state of the ecosystem. For each ecosystem, we discuss patterns in NDES with respect to the community-level indicators and present results in the context of ecosystem-specific drivers. We conclude that using NDES requires context-specific supporting information in order to provide guidance within a management framework. (C) 2015 Elsevier B.V. All rights reserved.
Published: 2015

24. Emerging signals of declining forest resilience under climate change

Author: Giovanni Forzieri, Vasilis Dakos, Nate G. McDowell, Alkama Ramdane, Alessandro Cescatti, European Commission - Joint Research Centre [Ispra] (JRC), Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and Pacific Northwest Natl Lab, Richland, WA 99354 USA
Subjects: Satellite Imagery, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Multidisciplinary, Acclimatization, Climate Change, Temperature, Water, Forestry, Carbon Dioxide, Forests, History, 21st Century, Models, Biological, Trees, Machine Learning, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Taiga, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: Forest ecosystems depend on their capacity to withstand and recover from natural and anthropogenic perturbations (that is, their resilience)1. Experimental evidence of sudden increases in tree mortality is raising concerns about variation in forest resilience2, yet little is known about how it is evolving in response to climate change. Here we integrate satellite-based vegetation indices with machine learning to show how forest resilience, quantified in terms of critical slowing down indicators3–5, has changed during the period 2000–2020. We show that tropical, arid and temperate forests are experiencing a significant decline in resilience, probably related to increased water limitations and climate variability. By contrast, boreal forests show divergent local patterns with an average increasing trend in resilience, probably benefiting from warming and CO2 fertilization, which may outweigh the adverse effects of climate change. These patterns emerge consistently in both managed and intact forests, corroborating the existence of common large-scale climate drivers. Reductions in resilience are statistically linked to abrupt declines in forest primary productivity, occurring in response to slow drifting towards a critical resilience threshold. Approximately 23% of intact undisturbed forests, corresponding to 3.32 Pg C of gross primary productivity, have already reached a critical threshold and are experiencing a further degradation in resilience. Together, these signals reveal a widespread decline in the capacity of forests to withstand perturbation that should be accounted for in the design of land-based mitigation and adaptation plans.
Published: 2022

25. A complete processing chain for ship detection using optical satellite imagery

Author: Christina Corbane, Laurent Demagistri, Emilien Pecoul, Laurent Najman, Michel Petit, Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Institut de Recherche pour le Développement (IRD), Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), IUP Génie Physiologique et Informatique, Université de Poitiers, and Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS)
Subjects: 010504 meteorology & atmospheric sciences, Computer science, 0211 other engineering and technologies, Context (language use), 02 engineering and technology, Mathematical morphology, 01 natural sciences, Panchromatic film, Maritime security, Wavelet, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Control system, General Earth and Planetary Sciences, Satellite, Satellite imagery, 14. Life underwater, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing
Abstract: International audience; Ship detection from remote sensing imagery is a crucial application for maritime security, which includes among others traffic surveillance, protection against illegal fisheries, oil discharge control and sea pollution monitoring. In the framework of a European integrated project Global Monitoring for Environment and Security (GMES) Security/Land and Sea Integrated Monitoring for European Security (LIMES), we developed an operational ship detection algorithm using high spatial resolution optical imagery to complement existing regulations, in particular the fishing control system. The automatic detection model is based on statistical meth- ods, mathematical morphology and other signal-processing techniques such as the wavelet analysis and Radon transform. This article presents current progress made on the detection model and describes the prototype designed to classify small targets. The prototype was tested on panchromatic Satellite Pour l'Observation de la Terre (SPOT) 5 imagery taking into account the environmental and fishing context in French Guiana. In terms of automatic detection of small ship targets, the proposed algorithm performs well. Its advantages are manifold: it is simple and robust, but most of all, it is efficient and fast, which is a crucial point in performance evaluation of advanced ship detection strategies.
Published: 2010

26. From regional to parcel scale: A high-resolution map of cover crops across Europe combining satellite data with statistical surveys

Author: Fendrich, Arthur, Matthews, Francis, van Eynde, Elise, Carozzi, Marco, Li, Zheyuan, d'Andrimont, Raphael, Lugato, Emanuele, Martin, Philippe, Ciais, Philippe, Panagos, Panos, European Commission - Joint Research Centre [Ispra] (JRC), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Henan Agricultural University, and Elsevier
Subjects: DYNAMICS, Environmental Engineering, Science & Technology, SOIL-EROSION, Cover crops, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, Common agricultural policy, Environmental Sciences & Ecology, CONSERVATION AGRICULTURE, Pollution, C PLUS PLUS, Spatially-explicit, CARBON, Disaggregation, Spatially-explicit Disaggregation, MANAGEMENT, Environmental Chemistry, European Union, Waste Management and Disposal, Life Sciences & Biomedicine, Environmental Sciences
Abstract: The reformed Common Agricultural Policy of 2023-2027 aims to promote a more sustainable and fair agricultural system in the European Union. Among the proposed measures, the incentivized adoption of cover crops to cover the soil during winter provides numerous benefits such as improved soil structure and reduced nutrient leaching and erosion. Despite this recognized importance, the availability of spatial data on cover crops is scarce. The increasing availability of field parcel declarations in the European Union has not yet filled this data gap due to its insufficient information content, limited public availability and a lack of standardization at continental scale. At present, the best information available is regionally aggregated survey data, which although indicative, hinders the development of spatially accurate studies. In this work, we propose a statistical model relating Sentinel-1 data to the existence of cover crops at the 100-m spatial resolution over the entirety of the European Union and United Kingdom and estimate its parameters using the spatially aggregated survey data. To validate the method in a spatially-explicit way, predictions were compared against farmers' registered declarations in France, where the adoption of cover crops is widespread. The results indicate a good agreement between predictions and parcel-level data. When interpreted as a binary classifier, the model yielded an Area Under the Curve (AUC) of 0.74 for the whole country. When the country was divided into five regions for the evaluation of regional biases, the AUC values were 0.77, 0.75, 0.74, 0.70, and 0.65 for the North, Center, West, East, and South regions respectively. Despite limitations such as the lack of data for validation outside France, and the non-standardized nomenclature for cover crops among Member States, this work constitutes the first effort to obtain a relevant cover crop map at a European scale for researchers and practitioners. ispartof: SCIENCE OF THE TOTAL ENVIRONMENT vol:873 ispartof: location:Netherlands status: published
Published: 2023

27. Recent climatological trend of the Saharan Heat Low and its impact in West African climate

Author: Lavaysse, Christophe, Flamant, Cyrille, Evan, Amato T., Janicot, Serge, Gaetani, Marco, Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Scripps Institution of Oceanography (SIO - UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Processus de la variabilité climatique tropicale et impacts (PARVATI), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Scripps Institution of Oceanography (SIO), University of California-University of California, Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
Subjects: Rainfall, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Monsoon flow, West Africa, Temperature, Climate Models, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], Saharan heat-low dynamics, Weather forecasting
Abstract: International audience; The saharan Heat low (sHl) plays a crucial role in the West african Monsoon in spring and summer. the recent trend in sHl activity has been analysed using two sets of numerical weather prediction reanalysis. a local increase during the 90’s has been found in the two sets of temperature. this increase is stronger within the heat low region than the surrounding areas. this change is accompanied by a modification of the large scale and slow increase of temperature, but we do not observe a change in the filtered signal under 25 days. Despite a large variability of the temporal trends between 15 climate models from the CMip5 project, the trend is observed using the ensemble mean. nevertheless, the spatial and temporal evolutions of the Hl activities display a large difference between the reanalysis and climate models. the impacts and atmospheric variabilities have been compared in reanalysis and climate models and reveals different behaviours of the climate models to represent the west african monsoon interactions with Hl pulsations.
Published: 2015

28. Modeled Changes in Potential Grassland Productivity and in Grass-Fed Ruminant Livestock Density in Europe over 1961–2010

Author: Adrian Leip, Katja Klumpp, Raphaël Martin, Jean-François Soussana, Jinfeng Chang, Matteo Campioli, Philippe Ciais, Nicolas Viovy, Nicolas Vuichard, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), University of Antwerp (UA), Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA), Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), AnimalChange project [266018], French l'Institut national de la recherche agronomique (INRA), French Commissariat a l'energie atomique (CEA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Research Group of Plant and Vegetation Ecology, UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), UAR 0233 Collège de Direction, Institut National de la Recherche Agronomique (INRA)-Direction Collégiale (DCOLL)-Collège de Direction (CODIR), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Subjects: pâturage, lcsh:Medicine, Grassland, Grazing, densité animale, lcsh:Science, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Multidisciplinary, geography.geographical_feature_category, Agroforestry, Temperature, Agriculture, Vegetation, Ruminants, Europe, Livestock, Engineering sciences. Technology, Research Article, Nitrogen, Climate Change, Climate change, Forage, betail, Poaceae, variabilité interannuelle, productivité, Animals, gestion de pâturage, Fertilizers, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Productivity, Biology, Ecosystem, modélisation, geography, business.industry, lcsh:R, 15. Life on land, Carbon Dioxide, Models, Theoretical, Agronomy, 13. Climate action, Environmental science, lcsh:Q, business
Abstract: International audience; About 25% of European livestock intake is based on permanent and sown grasslands. To fulfill rising demand for animal products, an intensification of livestock production may lead to an increased consumption of crop and compound feeds. In order to preserve an economically and environmentally sustainable agriculture, a more forage based livestock alimentation may be an advantage. However, besides management, grassland productivity is highly vulnerable to climate (i.e., temperature, precipitation, CO2 concentration), and spatial information about European grassland productivity in response to climate change is scarce. The process-based vegetation model ORCHIDEE-GM, containing an explicit representation of grassland management (i.e., herbage mowing and grazing), is used here to estimate changes in potential productivity and potential grass-fed ruminant livestock density across European grasslands over the period 1961-2010. Here "potential grass-fed ruminant livestock density" denotes the maximum density of livestock that can be supported by grassland productivity in each 25 km x 25 km grid cell. In reality, livestock density could be higher than potential (e.g., if additional feed is supplied to animals) or lower (e.g., in response to economic factors, pedo-climatic and biotic conditions ignored by the model, or policy decisions that can for instance reduce livestock numbers). When compared to agricultural statistics (Eurostat and FAOstat), ORCHIDEE-GM gave a good reproduction of the regional gradients of annual grassland productivity and ruminant livestock density. The model however tends to systematically overestimate the absolute values of productivity in most regions, suggesting that most grid cells remain below their potential grassland productivity due to possible nutrient and biotic limitations on plant growth. When ORCHIDEE-GM was run for the period 1961-2010 with variable climate and rising CO2, an increase of potential annual production (over 3%) per decade was found: 97% of this increase was attributed to the rise in CO2, -3% to climate trends and 15% to trends in nitrogen fertilization and deposition. When compared with statistical data, ORCHIDEE-GM captures well the observed phase of climate-driven interannual variability in grassland production well, whereas the magnitude of the interannual variability in modeled productivity is larger than the statistical data. Regional grass-fed livestock numbers can be reproduced by ORCHIDEE-GM based on its simple assumptions and parameterization about productivity being the only limiting factor to define the sustainable number of animals per unit area. Causes for regional model-data misfits are discussed, including uncertainties in farming practices (e.g., nitrogen fertilizer application, and mowing and grazing intensity) and in ruminant diet composition, as well as uncertainties in the statistical data and in model parameter values.
Published: 2015

29. Detecting the Phenology and Discriminating Mediterranean Natural Habitats With Multispectral Sensors—An Analysis Based on Multiseasonal Field Spectra

Author: Samuel Alleaume, Christina Corbane, Jean-Baptiste Féret, Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Subjects: Mediterranean climate, SPECTRAL ANALYSIS, Atmospheric Science, Multivariate statistics, IKONOS, Multispectral image, LANDSAT 5 TM, PHENOLOGY, Computers in Earth Sciences, ComputingMilieux_MISCELLANEOUS, Remote sensing, SPECTROSCOPY, Phenology, [SDE.IE]Environmental Sciences/Environmental Engineering, Spectral bands, Vegetation, 15. Life on land, PLEIADES, Habitat, SENTINEL-2, SIMULATION, SENTINEL-6, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Environmental science, Radiometry, WORLDVIEW-2, VEGETATION, LANDSAT 8, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Due to their high degree of vegetation heterogeneity, fragmentation, and biodiversity, Mediterranean natural habitats are difficult to assess and monitor with in situ observations solely. Together with standardized ground plots and regular in situ measurements, remote sensing contributes to better understand the diversity of these habitats and their phenology. We used field spectroradiometry to simulate the radiometric signal corresponding to six multispectral satellites: 1) IKONOS, 2) Landsat 5 TM, 3) Landsat 8, 4) Pleiades, 5) Sentinel-2, and 6) WorldView-2. We compared the suitability of each sensor for the estimation of the cover fraction of photosynthetic vegetation (PV) observed for five types of habitats during a vegetation cycle from February to October 2013. We also analyzed the contribution of multiseasonal satellite acquisitions for habitat discrimination. We showed that multivariate regression applied to Worldview-2 reflectance produces the most accurate PV. This was explained by the higher number of spectral bands in the visible domain. Habitat discrimination based on monotemporal acquisitions showed better performances when PV was higher. Sentinel-2 and WorldView-2 outperformed other sensors for each individual date. Multitemporal acquisitions outperformed monotemporal acquisition for habitat discrimination. However, selecting all reflectance data acquired during the season resulted in suboptimal performances compared to more parsimonious combinations. Finally, all of them ranged between 86.6% and 89.2% classification accuracy with multiseasonal acquisitions. New strategies need to be designed to identify individual habitats of particular interest. Defining optimal multiseasonal remote-sensing acquisitions specific to each habitat and appropriate spectral and spatial resolution will contribute to improved discrimination of Mediterranean natural habitats.
Published: 2015

30. Fire evolution in the radioactive forests of Ukraine and Belarus: future risks for the population and the environment

Author: Patricia Cadule, Sergiy Zibtsev, Nikolaos Evangeliou, Anders Pape Møller, Benjamin Poulter, Florent Mouillot, Wei Min Hao, Alexander Petkov, Ronan Paugam, Brigitte Koffi, Timothy A. Mousseau, Anne Cozic, Yves Balkanski, Kirsten Thonicke, Rong Wang, Chao Yue, Johannes W. Kaiser, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Climat et fonctionnement des agro-écosystèmes, rôle de l'agrodiversité dans la stabilité de la production (CLIFA), Potsdam Institute for Climate Impact Research (PIK), Montana State University (MSU), Air and Climate Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Laboratoire de Modélisation et Simulation Multi Echelle (MSME), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Calcul Scientifique (CALCULS), USDA Forest Service Rocky Mountain Forest and Range Experiment Station, United States Department of Agriculture (USDA), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), King‘s College London, National University of Life and Environmental Sciences of Ukraine (NUBiP), University of South Carolina [Columbia], Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), European Centre for Medium-Range Weather Forecasts (ECMWF), Max-Planck-Institut für Biophysikalische Chemie - Max Planck Institute for Biophysical Chemistry [Göttingen], Max-Planck-Gesellschaft, Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ( LSCE ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Climat et fonctionnement des agro-écosystèmes, rôle de l'agrodiversité dans la stabilité de la production ( CLIFA ), Potsdam Institute for Climate Impact Research ( PIK ), Montana State University ( MSU ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ) -European Commission - Joint Research Centre [Ispra] ( JRC ), Laboratoire de Modélisation et Simulation Multi Echelle ( MSME ), Centre National de la Recherche Scientifique ( CNRS ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Université Paris-Est Marne-la-Vallée ( UPEM ), and Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE)
Subjects: [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, Cesium-137, Population, Climate change, Firefighting, Chernobyl, redistribution, Altitude, litter, Environmental protection, [ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, education, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Radionuclide, education.field_of_study, Fire regime, Ecology, carbon stock, 15. Life on land, climate change, 13. Climate action, Litter, wildfires, Environmental science, fire risk, Woody plant
Abstract: International audience; In this paper, we analyze the current and future status of forests in Ukraine and Belarus that were contaminated after the nuclear disaster in 1986. Using several models, together with remote‐sensing data and observations, we studied how climate change in these forests may affect fire regimes. We investigated the possibility of 137Cs displacement over Europe by studying previous fire events, and examined three fire scenarios that depended on different emission altitudes of 137Cs, assuming that 10% of the forests were affected by fires. Field measurements and modeling simulations confirmed that numerous radioactive contaminants are still present at these sites in extremely large quantities.Forests in Eastern Europe are characterized by large, highly fire‐prone patches that are conducive to the development of extreme crown fires. Since 1986, there has been a positive correlation between extreme fire events and drought in the two contaminated regions. Litter carbon storage in the area has doubled since 1986 due to increased tree mortality and decreased decomposition rates; dead trees and accumulating litter in turn can provide fuel for wildfires that pose a high risk of redistributing radioactivity in future years. Intense fires in 2002, 2008, and 2010 resulted in the displacement of 137Cs to the south; the cumulative amount of 137Cs re‐deposited over Europe was equivalent to 8% of that deposited following the initial Chernobyl disaster. However, a large amount of 137Cs still remains in these forests, which could be remobilized along with a large number of other dangerous, long‐lived, refractory radionuclides. We predict that an expanding flammable area associated with climate change will lead to a high risk of radioactive contamination with characteristic fire peaks in the future. Current fire‐fighting infrastructure in the region is inadequate due to understaffing and lack of funding. Our data yield the first cogent predictions for future fire incidents and provide scientific insights that could inform and spur evidence‐based policy decisions concerning highly contaminated regions around the world, such as those of Chernobyl.
Published: 2015

31. Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

Author: Anne Cozic, Philippe Bousquet, S. van der Laan, C. Schlosser, Alex Vermeulen, John Moncrieff, Fleur Couvreux, Robin Locatelli, Ute Karstens, Alastair G. Williams, Frédéric Hourdin, Peter Bergamaschi, Martina Schmidt, M. P. Lefebvre, Michel Ramonet, J. Y. Grandpeix, V. Kazan, Scott D. Chambers, H. A. Scheeren, Harro A. J. Meijer, Marielle Saunois, Catherine Rio, STMicroelectronics, ESIM - Déterminants Sociaux de la Santé et du Recours aux Soins ( DS3 ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire de Météorologie Dynamique (UMR 8539) ( LMD ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -École polytechnique ( X ) -École des Ponts ParisTech ( ENPC ) -Centre National de la Recherche Scientifique ( CNRS ) -Département des Géosciences - ENS Paris, École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ( LSCE ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Groupe d'étude de l'atmosphère météorologique ( CNRM-GAME ), Institut national des sciences de l'Univers ( INSU - CNRS ) -Météo France-Centre National de la Recherche Scientifique ( CNRS ), ONERA - The French Aerospace Lab ( Chatillon ), ONERA, JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Max-Planck-Institut für Biogeochemie ( MPI-BGC ), Centre National de la Recherche Scientifique ( CNRS ), Institut de génétique humaine ( IGH ), Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), School of Geosciences [Edinburgh], University of Edinburgh, Leibniz Institut für Meereswissenschaften, IFM-GEOMAR, Kiel, Germany ( IfM-GEOMAR ), Leibniz-Institut für Meereswissenschaften ( IFM-GEOMAR ), Service des Photons, Atomes et Molécules ( SPAM ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Cranfield University, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Calcul Scientifique (CALCULS), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), ONERA - The French Aerospace Lab [Châtillon], ONERA-Université Paris Saclay (COmUE), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Max-Planck-Institut für Biogeochemie (MPI-BGC), ICOS-RAMCES (ICOS-RAMCES), Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Bundesamt für Strahlenschutz - Federal Office for Radiation Protection (BfS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Federal Office for Radiation Protection (BfS), and Isotope Research
Subjects: [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, Meteorology, 010504 meteorology & atmospheric sciences, Planetary boundary layer, Mesoscale meteorology, SURFACE MEASUREMENTS, Atmospheric sciences, 010502 geochemistry & geophysics, Convective Boundary Layer, 01 natural sciences, 7. Clean energy, CUMULUS CONVECTION, Troposphere, CARBON-DIOXIDE, Diurnal cycle, LARGE-SCALE MODELS, METHANE EMISSIONS, [ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, GENERAL-CIRCULATION MODEL, CABAUW TALL TOWER, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Stratosphere, Physics::Atmospheric and Oceanic Physics, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, LARGE-EDDY SIMULATION, Chemistry, VERTICAL PROFILES, lcsh:QE1-996.5, Trace gas, lcsh:Geology, CONVECTIVE BOUNDARY-LAYER, 13. Climate action, Greenhouse gas
Abstract: Representation of atmospheric transport is a major source of error in the estimation of greenhouse gas sources and sinks by inverse modelling. Here we assess the impact on trace gas mole fractions of the new physical parameterizations recently implemented in the atmospheric global climate model LMDz to improve vertical diffusion, mesoscale mixing by thermal plumes in the planetary boundary layer (PBL), and deep convection in the troposphere. At the same time, the horizontal and vertical resolution of the model used in the inverse system has been increased. The aim of this paper is to evaluate the impact of these developments on the representation of trace gas transport and chemistry, and to anticipate the implications for inversions of greenhouse gas emissions using such an updated model. Comparison of a one-dimensional version of LMDz with large eddy simulations shows that the thermal scheme simulates shallow convective tracer transport in the PBL over land very efficiently, and much better than previous versions of the model. This result is confirmed in three-dimensional simulations, by a much improved reproduction of the radon-222 diurnal cycle. However, the enhanced dynamics of tracer concentrations induces a stronger sensitivity of the new LMDz configuration to external meteorological forcings. At larger scales, the inter-hemispheric exchange is slightly slower when using the new version of the model, bringing them closer to observations. The increase in the vertical resolution (from 19 to 39 layers) significantly improves the representation of stratosphere/troposphere exchange. Furthermore, changes in atmospheric thermodynamic variables, such as temperature, due to changes in the PBL mixing modify chemical reaction rates, which perturb chemical equilibriums of reactive trace gases. One implication of LMDz model developments for future inversions of greenhouse gas emissions is the ability of the updated system to assimilate a larger amount of highfrequency data sampled at high-variability stations. Others implications are discussed at the end of the paper., JRC.H.2-Air and Climate
Published: 2015

32. Joint control of terrestrial gross primary productivity by plant phenology and physiology

Author: Nina Buchmann, Damien Bonal, Alessandro Cescatti, Andrew E. Suyker, Philippe Ciais, Jinwei Dong, Leonardo Montagnani, Timo Vesala, Yiqi Luo, Lawrence B. Flanagan, Vincenzo Magliulo, Matthew Wilkinson, Ivan A. Janssens, Shuli Niu, Jørgen E. Olesen, Magnus Lund, Dafeng Hui, Antonio Raschi, Liming Yan, Lutz Merbold, Christof Ammann, Marek Urbaniak, Olivier Roupsard, Jianyang Xia, Barbara Marcolla, Jiquan Chen, Jianwei Li, Georg Wohlfahrt, Gerard Kiely, Christian Frankenberg, Shiping Chen, Eddy Moors, Shilong Piao, Francesco Primo Vaccari, Ensheng Weng, Christopher M. Gough, Andrej Varlagin, Altaf Arain, Teodoro Georgiadis, Peter D. Blanken, Peter James Curtis, Earth and Climate, Amsterdam Global Change Institute, Department of Microbiology and Plant Biology, University of Oklahoma (OU), Synth Res Ctr Chinese Ecosyst Res Network, Institute of Geographic Sciences and Natural Resources Research, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Biology, University of Antwerp (UA), Center for Global Change and Earth Observations and Department of Geography, Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Climate and Air Pollution Group, Agroscope, School of Geography and Earth Sciences [Hamilton ON], McMaster University [Hamilton, Ontario], Department of Geography, University of Colorado [Boulder], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Ecology and Organismal Biology, Ohio State University [Columbus] (OSU), State Key Laboratory of Vegetation and Environmental Change, Chinese Academy of Sciences [Changchun Branch] (CAS), Department of Biological Sciences, University of Lethbridge, Tropospheric sounding, assimilation, and modeling group [JPL], Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH)-NASA-California Institute of Technology (CALTECH), Institute of Biometeorology, Virginia Commonwealth University (VCU), Tennessee State University, Civil and Environmental Engineering Department and Environmental Research Institute, University College Cork (UCC), Department of Agriculture and Environmental Sciences, Department of Bioscience, Aarhus University [Aarhus], vInstitute for Mediterranean Agricultural and Forest Systems, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Sustainable Agro-Ecosystems and Bioresources Department, Edmund Mach Foundation (FEM), Institute of Agricultural Science (IAS), Faculty of Science and Technology, Free University of Bozen-Bolzano, Earth System Science and Climate Change Group, Wageningen University and Research [Wageningen] (WUR), Department of Agroecology, Department of Ecology, College of Urban and Environmental Sciences, Peking University [Beijing], Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), School of Natural Resources, University of Nebraska–Lincoln, University of Nebraska System-University of Nebraska System, Department of Meteorology, Poznan University of Life Sciences, A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Department of Forest Sciences [Helsinki], Faculty of Agriculture and Forestry [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Centre for Sustainable Forestry and Climate Change, Forest Research [Great Britain], Department of Ecology and Evolutionary Biology, Princeton University, Institute of Ecology, Leopold Franzens Universität Innsbruck - University of Innsbruck, Institute for Applied Remote Sensing and Institute for Alpine Environment, European Academy Bozen/Bolzano (EURAC), School of Life Sciences [Fudan University], Fudan University [Shanghai], Center for Earth System Science [Beijing] (CESS), Tsinghua University [Beijing] (THU), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Consiglio Nazionale delle Ricerche [Roma] (CNR), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA), University of Nebraska [Lincoln], University of Helsinki-University of Helsinki, University of Innsbruck, Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), California Institute of Technology (CALTECH)-NASA-California Institute of Technology (CALTECH)-NASA, University College Cork, Institute of Agricultural Science, Wageningen University and Research Centre [Wageningen] (WUR), Department of Ecology, COLLEGE OF URBAN AND ENVIRONMENTAL SCIENCES, Institut National de la Recherche Agronomique (INRA)-Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), A. N. Severtsov Institute of Ecology and Evolution, Forest Research, European Academy of Bozen-Bolzano (EURAC), Tsinghua University [Beijing], University of Oklahoma, Laboratoire des sciences du Climat et de l'Environnement, University of Antwerp ( UA ), Michigan State University ( MSU ), School of Geography and Earth Sciences, University of Colorado Boulder [Boulder], JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] ( EEF ), Institut National de la Recherche Agronomique ( INRA ) -Université de Lorraine ( UL ), Eidgenössische Technische Hochschule [Zürich] ( ETH Zürich ), Ohio State University [Columbus] ( OSU ), Chinese Academy of Sciences [Changchun Branch] ( CAS ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ) -NASA-California Institute of Technology ( CALTECH ), Virginia Commonwealth University, Consiglio Nazionale delle Ricerche [Roma] ( CNR ), Edmund Mach Foundation ( FEM ), Wageningen University and Research Centre [Wageningen] ( WUR ), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes ( Eco&Sols ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Institut de Recherche pour le Développement ( IRD ) -Institut National de la Recherche Agronomique ( INRA ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), University of Nebraska-Lincoln, Russian Academy of Sciences [Moscow] ( RAS ), Departments of Physics and Forest Sciences, University of Helsinki, European Academy of Bozen-Bolzano ( EURAC ), School of Life Sciences, and Center for Earth System Science
Subjects: vegetation phenology, Stomatal conductance, Range (biology), forest phenology, [SDV]Life Sciences [q-bio], Eddy covariance, Physiology, Flux, Climate change, F62 - Physiologie végétale - Croissance et développement, climate extreme, ecosystem productivity, Models, Biological, growing season length, ecostystem carbon uptake, models, Settore BIO/07 - ECOLOGIA, Ecosystem, Biology, ecosystem carbon uptake | growing season length | photosynthetic capacity | spatiotemporal variability | climate extreme, Plant Physiological Phenomena, photosynthetic capacity, Abiotic component, Multidisciplinary, WIMEK, photosynthesis, [ SDV ] Life Sciences [q-bio], chlorophyll fluorescence, U10 - Informatique, mathématiques et statistiques, variability, carbon uptake, 15. Life on land, Biological Sciences, Plants, Photosynthetic capacity, Climate Resilience, spatiotemporal variability, 13. Climate action, stomatal conductance, Klimaatbestendigheid, South Dakota, climate-change, ecosystem carbon uptake, Environmental science, Engineering sciences. Technology
Abstract: Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climatecarbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological processes. However, it is still unclear how plant phenology and physiology can be integrated to explain the spatiotemporal variability of terrestrial GPP. Based on analyses of eddycovariance and satellite-derived data, we decomposed annual terrestrial GPP into the length of the CO2 uptake period (CUP) and the seasonal maximal capacity of CO2 uptake (GPPmax). The product of CUP and GPPmax explained >90% of the temporal GPP variability in most areas of North America during 20002010 and the spatial GPP variation among globally distributed eddy flux tower sites. It also explained GPP response to the European heatwave in 2003 (r2 = 0.90) and GPP recovery after a fire disturbance in South Dakota (r2 = 0.88). Additional analysis of the eddycovariance flux data shows that the interbiome variation in annual GPP is better explained by that in GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and greater understanding of GPPmax and CUP responses to environmental and biological variations will, thus, improve predictions of GPP over time and space.
Published: 2015

33. Fishing impact in Mediterranean ecosystems: an EcoTroph modeling approach

Author: Chiara Piroddi, Ghassen Halouani, Tarek Hattab, Didier Gascuel, Marta Coll, François Le Loc'h, Frida Ben Rais Lasram, K. Tsagarakis, Mohamed Salah Romdhane, Ecosystèmes et Ressources Aquatiques (UR03AGRO1), Institut National Agronomique de Tunisie, Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Écologie et santé des écosystèmes (ESE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, UMR 212 EME 'écosystèmes marins exploités' (EME), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM), Spain & Ecopath International Initiative Research Association, Institut de Ciències del Mar, Institute of Marine Biological Resources and Inland Waters, Hellenic Center for Marine Research (HCMR), Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Institute of Marine Sciences / Institut de Ciències del Mar [Barcelona] (ICM), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Hellenic Centre for Marine Research (HCMR), Institut de Recherche pour le Développement (IRD), European Project: 287600,EC:FP7:ENV,FP7-OCEAN-2011,PERSEUS(2012), European Project: 303534,EC:FP7:PEOPLE,FP7-PEOPLE-2011-CIG,BIOWEB(2012), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: 0106 biological sciences, Trophic spectrum, 010504 meteorology & atmospheric sciences, [SDV]Life Sciences [q-bio], Ecosystem modeling, FONCTIONNEMENT DE L'ECOSYSTEME, Aquatic Science, Oceanography, 01 natural sciences, Trophic levels, Ecosystem model, Mediterranean Sea, Marine ecosystem, Ecosystem, 14. Life underwater, Trophic cascade, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Trophic level, Biomass (ecology), BIOMASSE, Ecology, 010604 marine biology & hydrobiology, ACL, NIVEAU TROPHIQUE, Food web, EcoTroph, MODELISATION, Fishing down the food web, CAPTURE, Fishery, 13. Climate action, STRUCTURE TROPHIQUE, MILIEU MARIN, Fishing impact, PECHE, Environmental science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: 12 pages, 8 figures, 1 table, 1 appendix, The EcoTroph modeling approach was applied to five Mediterranean marine ecosystems to characterize their food webs and investigate their responses to several simulated fishing scenarios. First, EcoTroph was used to synthesize the outputs of five pre-existing heterogeneous Ecopath models in a common framework, and thus to compare different ecosystems through their trophic spectra of biomass, catch, and fishing mortalities. This approach contributes to our understanding of ecosystem functioning, from both ecological and fisheries perspectives. Then, we assessed the sensitivity of each ecosystem to fishery, using EcoTroph simulations. For the five ecosystems considered, we simulated the effects of increasing or decreasing fishing mortalities on both the biomass and the catch per trophic class. Our results emphasize that the Mediterranean Sea is strongly affected by the depletion of high trophic level organisms. Results also show that fisheries impacts, at the trophic level scale, differ between ecosystems according to their trophic structure and exploitation patterns. A top-down compensation effect is observed in some simulations where a fishing-induced decrease in the biomass of predators impacts their prey, leading to an increase in the biomass at lower trophic levels. The results of this comparative analysis highlight that ecosystems where top-down controls are observed are less sensitive to variations in fishing mortality in terms of total ecosystem biomass. This suggests that the magnitude of top-down control present in a system can affect its stability. © 2015 Elsevier B.V., This publication has been produced with the financial support of the DPF PhD fellowships program of the Institut de Recherche pour le Développement (IRD) for GH and TH. It was also partly funded by the projects BISTROMED (ENVI-Med - MISTRALS) and CHARMMED (Fondation TOTAL). MC was partially supported by a Marie Curie CIG grant (PCIG10 GA-2011-303534) to the BIOWEB project and the Spanish Research Program Ramón y Cajal. KT was partially supported by the FP7 project PERSEUS (FP7 Theme “Oceans of Tomorrow” OCEAN.2011-3 Grant Agreement No. 287600)
Published: 2015

34. Top-down estimates of European CH4 and N2O emissions based on four different inverse models

Author: Bergamaschi, P., Corazza, M., Karstens, U., Athanassiadou, M., Thompson, L., Pison, I., Manning, A., Bousquet, P., Segers, A., Vermeulen, A., Janssens-Maenhout, G., Schmidt, M., Ramonet, M., Meinhardt, F., Aalto, T., Haszpra, L., Moncrieff, J., Popa, E., Lowry, D., Steinbacher, M., Jordan, A., O'Doherty, S., Piacentino, S., Dlugokencky, E., JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), University of Maryland [College Park], University of Maryland System, Max-Planck-Institut für Biogeochemie (MPI-BGC), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-RAMCES (ICOS-RAMCES), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Royal Netherlands Meteorological Institute (KNMI), Umweltbundesamt, Finnish Meteorological Institute (FMI), Hungarian Meteorological Service P.O. Box 39, School of Geosciences [Edinburgh], University of Edinburgh, Department of Earth Sciences [Egham], Royal Holloway [University of London] (RHUL), Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] (EMPA), School of Chemistry, University of Bristol [Bristol], National Oceanic and Atmospheric Administration (NOAA), Sub Atmospheric physics and chemistry, Marine and Atmospheric Research, JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Max-Planck-Institut für Biogeochemie ( MPI-BGC ), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ( LSCE ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), ESIM - Déterminants Sociaux de la Santé et du Recours aux Soins ( DS3 ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Royal Netherlands Meteorological Institute ( KNMI ), Service des Photons, Atomes et Molécules ( SPAM ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Finnish Meteorological Institute ( FMI ), Department of Earth Sciences [London], Royal Holloway [University of London] ( RHUL ), Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] ( EMPA ), National Oceanic and Atmospheric Administration ( NOAA ), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Hungarian Meteorological Service (OMSZ)
Subjects: [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric pollution, Emission inventory, Earth / Environmental, Modeling, CAS - Climate, Air and Sustainability, Environment, lcsh:QC1-999, lcsh:Chemistry, Europe, lcsh:QD1-999, Urban Development, Pollution monitoring, [ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, ELSS - Earth, Life and Social Sciences, Built Environment, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, lcsh:Physics, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; European CH 4 and N 2 O emissions are estimated for 2006 and 2007 using four inverse modelling systems, based on different global and regional Eulerian and La-grangian transport models. This ensemble approach is designed to provide more realistic estimates of the overall uncertainties in the derived emissions, which is particularly important for verifying bottom-up emission inventories. We use continuous observations from 10 European stations (including 5 tall towers) for CH 4 and 9 continuous stations for N 2 O, complemented by additional European and global discrete air sampling sites. The available observations mainly constrain CH 4 and N 2 O emissions from northwestern and eastern Europe. The inversions are strongly driven by the observations and the derived total emissions of larger countries show little dependence on the emission inventories used a priori. Three inverse models yield 26-56 % higher total CH 4 emissions from northwestern and eastern Europe compared Published by Copernicus Publications on behalf of the European Geosciences Union. 716 P. Bergamaschi et al.: Top-down estimates of European CH 4 and N 2 O emissions to bottom-up emissions reported to the UNFCCC, while one model is close to the UNFCCC values. In contrast, the inverse modelling estimates of European N 2 O emissions are in general close to the UNFCCC values, with the overall range from all models being much smaller than the UNFCCC uncertainty range for most countries. Our analysis suggests that the reported uncertainties for CH 4 emissions might be underestimated , while those for N 2 O emissions are likely overestimated .
Published: 2015

35. A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration

Author: Joost Wolf, Xinyou Yin, Pierre Martre, Zhengtao Zhang, H. K. Soo, Manuel Marcaida, Nadine Brisson, Patrick Bertuzzi, Soo-Hyung Kim, Yan Zhu, Roberto C. Izaurralde, L. A. Hunt, Maria I. Travasso, Christian Baron, James W. Jones, R.E.E. Jongschaap, T. Palosuo, Daniel Wallach, Jerry L. Hatfield, Christian Biernath, G. De Sanctis, Senthold Asseng, H. Yoshida, Donald S. Gaydon, Edmar Teixeira, Davide Cammarano, Alex C. Ruane, C. Nendel, T. Hasegawa, Thilo Streck, Garry O'Leary, Upendra Singh, Frank Ewert, Delphine Deryng, R. Goldberg, Bas A. M. Bouman, Peter J. Thorburn, Tao Li, Roberto Confalonieri, Myriam Adam, Jes Olesen, Reimund P. Rötter, Tamon Fumoto, Patricio Grassini, Joachim Ingwersen, Robert F. Grant, Katharina Waha, James Williams, Fulu Tao, Eckart Priesack, Pramod K. Aggarwal, Liang Tang, Sebastian Gayler, Jordi Doltra, L. Heng, Christoph Müller, J.G. Conijn, Iwan Supit, S. Naresh Kumar, Iurii Shcherbak, Jeffrey W. White, Hendrik Boogaard, Kenneth J. Boote, David Makowski, Federico Sau, Jean-Louis Durand, Mikhail A. Semenov, Claudio O. Stöckle, Marc Corbeels, Steven Hoek, Simone Bregaglio, Hiroshi Nakagawa, Philippe Oriol, Anthony Challinor, R. A. Kemanian, Carlos Angulo, Pasquale Steduto, Bruno Basso, Kurt Christian Kersebaum, Cynthia Rosenzweig, Dennis Timlin, J. Hooker, Samuel Buis, Maria Virginia Pravia, Françoise Ruget, Dominique Ripoche, Simona Bassu, Pierre Stratonovitch, Jon I. Lizaso, Balwinder Singh, Tom M. Osborne, Paul W. Wilkens, Agronomie, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Institute of Crop Science and Resource Conservation [Bonn] (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Institut National de la Recherche Agronomique (INRA), International Rice Research Institute [Philippines] (IRRI), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Int Rice Res Inst, Los Banos, Philippines, Université Paris Diderot - Paris 7 (UPD7), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), International Water Management Institute, Research Program on Climate Change, Agriculture and Food Security, CGIAR, Institute of Crops Science and Resource Conservation INRES, Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Department of Geological Sciences and W. K. Kellogg Biological Station, Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Department of Geological Sciences [East Lansing], Agroclim (AGROCLIM), German Research Center for Environmental Health, Institute of Soil Ecololgy, Helmholtz-Zentrum München (HZM), Center for Geo-information, Alterra, Department of Agronomy, University of Florida [Gainesville] (UF), Cassandra Lab, University of Milan, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), The James Hutton Institute, CGIAR ESSP Program on Climate Change, Agriculture and Food Security, International Center for Tropical Agriculture, School of Earth and Environment [Leeds] (SEE), University of Leeds, Plant Research International, Wageningen University and Research [Wageningen] (WUR), Embrapa Cerrados, Agroécologie et Intensification Durables des cultures annuelles (UPR AIDA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Tyndall Centre for Climate Change Research, School of Environmental Science, University of East Anglia [Norwich] (UEA), European Commission - Joint Research Centre [Ispra] (JRC), Cantabrian Agricultural Research and Training Centre, Tsukuba, National Institute of Agro-Environmental Sciences (NIAES), Agriculture Flagship, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), WESS Water and Earth System Science Competence Cluster, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Departement of Renewable Resources, University of Alberta, Department of Agronomy and Horticulture, University of Nebraska [Lincoln], University of Nebraska System-University of Nebraska System, National Laboratory for Agriculture and Environment, International Atomic Energy Agency [Vienna] (IAEA), Centre for Geo-Information, Agriculture Department, University of Reading (UOR), Department of Plant Agriculture, University of Guelph, Institute of Soil Science and Land Evaluation, University of Hohenheim, Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Instituto Nacional de Investigación Agropecuaria (INIA), Institute of Landscape System Analysis, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), College of the Environment, School of Environmental and Forest Sciences, University of Washington, Department Produccion Vegetal, Fitotecnia, Universidad Politécnica de Madrid (UPM), Potsdam Institute for Climate Impact Research (PIK), National Agriculture and Food Research Organization (NARO), Centre for Environment Science and Climate Resilient Agriculture (CESCRA), Indian Agricultural Research Institute (IARI), Institute of Landscape Systems Analysis, Department of Economic Development Jobs, Transport and Resources, Grains Innovation Park, Department of Agroecology, Aarhus University [Aarhus], Walker Institute, NCAS Climate, Natural Resources Institute Finland, Department of Plant Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, German Research Center for Environmental Health, Institute of Soil Ecology, Department Biologia Vegetal, Computational and Systems Biology Department, Rothamsted Research, Department of Geological Sciences and W.K. Kellogg Biological Station, International Maize and Wheat Improvement Centre [Inde] (CIMMYT), International Maize and Wheat Improvement Center (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), International Fertilizer Development Center (IFDC), College of the Environment, School of Environmental and Forest Science, University of Washington [Seattle], FAO Sub-regional Office for Eastern Africa [Addis Ababa, Ethiopie] (FAO), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Biological Systems Engineering, Washington State University (WSU), Plant Production Systems and Earth System Science, National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Sustainable Production, Plant & Food Research, ARS Crop Systems and Global Change Laboratory, United States Department of Agriculture, CIRN, Institute for Climate and Water, Instituto Nacional de Tecnología Agropecuaria (INTA), Agriculture, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Arid-Land Agricultural Research Center, Texas AgriLife Research and Extension, Texas A&M University System, Centre for Crop Systems Analysis, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University (BNU), Metaprogramme ACCAF, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Helmholtz Zentrum München = German Research Center for Environmental Health, Università degli Studi di Milano = University of Milan (UNIMI), University of Nebraska–Lincoln, Université de Toulouse (UT)-Université de Toulouse (UT), Natural Resources Institute Finland (LUKE), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Nanjing Agricultural University (NAU), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Agricultural and Biological Engineering Department, University of Florida [Gainesville], Institute of Crop Science and Resource Conservation INRES, International Rice Research Institute, Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), UE Agroclim (UE AGROCLIM), Wageningen University and Research Centre [Wageningen] (WUR), Agroécologie et Intensification Durables des cultures annuelles (Cirad-Persyst-UPR 115 AIDA), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Eberhard Karls Universität Tübingen, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), National Agriculture and Food Research Organization, International Maize and Wheat Improvement Centre (CIMMYT), Food and Agricultural Organization (FAO), New Zealand Institute for Plant and Food Research Limited, Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Beijing Normal University, Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, University of Bonn (Rheinische Friedrich-Wilhelms), Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères ( P3F ), Institut National de la Recherche Agronomique ( INRA ), Génétique Diversité et Ecophysiologie des Céréales ( GDEC ), Institut National de la Recherche Agronomique ( INRA ) -Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales ( UMR AGAP ), Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Territoires, Environnement, Télédétection et Information Spatiale ( UMR TETIS ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ) -AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ), Department of Geological Sciences, W.K. Kellogg Biological Station, Michigan State Univ, Dept Geol Sci, E Lansing, MI 48823 USA, UE Agroclim ( UE AGROCLIM ), Helmholtz-Zentrum München ( HZM ), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes ( EMMAH ), Université d'Avignon et des Pays de Vaucluse ( UAPV ) -Institut National de la Recherche Agronomique ( INRA ), Invergowrie, School of Earth and Environment [Leeds] ( SEE ), Wageningen University and Research Centre [Wageningen] ( WUR ), Agro-ecologyand Sustainable Intensification of Annual Crops, Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ), University of East Anglia [Norwich] ( UEA ), European Commission - Joint Research Centre [Ispra] ( JRC ), National Institute for Agro-Environmental Sciences, Commonwealth Scientific and Industrial Research Organisation, NASA Goddard Institute for Space Studies ( GISS ), NASA Goddard Space Flight Center ( GSFC ), University of Nebraska-Lincoln, International Atomic Energy Agency [Vienna] ( IAEA ), University of Reading ( UOR ), UMR 1248 Agrosystèmes et Développement Territorial (AGIR), Agro-ecology and Sustainable Intensification of Annual Crops, Instituto Nacional de Investigación Agropecuaria, Leibniz Centre for Agricultural Landscape Research, Universidad Politécnica de Madrid ( UPM ), Potsdam Institute for Climate Impact Research ( PIK ), Centre for Environment Science and Climate Resilient Agriculture ( CESCRA ), Indian Agricultural Research Institute ( IARI ), PennState University [Pennsylvania] ( PSU ), W.K. Kellogg Biological Station, Department of Geological Sciences, International Maize and Wheat Improvement Centre ( CIMMYT ), International Fertilizer Development Center ( IFDC ), Food and Agricultural Organization ( FAO ), Washington State University ( WSU ), Instituto Nacional de Tecnología Agropecuaria, Agrosystèmes Cultivés et Herbagers ( ARCHE ), Institut National Polytechnique [Toulouse] ( INP ) -Institut National de la Recherche Agronomique ( INRA ) -Ecole Nationale Supérieure Agronomique de Toulouse, and Texas A and M University ( TAMU )
Subjects: [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Atmospheric Science, 010504 meteorology & atmospheric sciences, F62 - Physiologie végétale - Croissance et développement, 01 natural sciences, Statistics, Aardobservatie en omgevingsinformatica, Climate change, Crop model, [ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences, Triticum, Mathematics, 2. Zero hunger, Global and Planetary Change, Mathematical model, Air, Forestry, Regression analysis, 04 agricultural and veterinary sciences, PE&RC, [ SDE.MCG ] Environmental Sciences/Global Changes, Rendement des cultures, Plant Production Systems, Statistical model, Modèle mathématique, Atmosphère, Earth Observation and Environmental Informatics, Yield, Crop Physiology, P40 - Météorologie et climatologie, [SDE.MCG]Environmental Sciences/Global Changes, Oryza sativa, Zea mays, Earth System Science, Emulator, Agro Water- en Biobased Economy, Alterra - Centrum Bodem, Precipitation, Croissance, 0105 earth and related environmental sciences, Meta-model, Changement climatique, Hydrology, Modélisation des cultures, Crop yield, Simulation modeling, Soil Science Centre, 15. Life on land, Température, Laboratorium voor Phytopathologie, Climate Resilience, 13. Climate action, Klimaatbestendigheid, Yield (chemistry), Plantaardige Productiesystemen, Laboratory of Phytopathology, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Leerstoelgroep Aardsysteemkunde, Plante de culture, Agronomy and Crop Science, Dioxyde de carbone
Abstract: Ensembles of process-based crop models are increasingly used to simulate crop growth for scenarios of temperature and/or precipitation changes corresponding to different projections of atmospheric CO2 concentrations. This approach generates large datasets with thousands of simulated crop yield data. Such datasets potentially provide new information but it is difficult to summarize them in a useful way due to their structural complexities. An associated issue is that it is not straightforward to compare crops and to interpolate the results to alternative climate scenarios not initially included in the simulation protocols. Here we demonstrate that statistical models based on random-coefficient regressions are able to emulate ensembles of process-based crop models. An important advantage of the proposed statistical models is that they can interpolate between temperature levels and between CO2 concentration levels, and can thus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without rerunning the original complex crop models. Our approach is illustrated with three yield datasets simulated by 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to these datasets, and are then used to analyze the variability of the yield response to [CO2] and temperature. Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effect of a temperature increase of +2 degrees C in the considered sites. Compared to wheat, required levels of [CO2] increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulating climate change impacts increase more with temperature than with elevated [CO2]. (C) 2015 Elsevier B.V. All rights reserved.
Published: 2015

36. Premature mortality attributable to COVID-19: potential years of life lost in 17 countries around the world, January–August 2020

Author: Maider Pagola Ugarte, Souzana Achilleos, Annalisa Quattrocchi, John Gabel, Ourania Kolokotroni, Constantina Constantinou, Nicoletta Nicolaou, Jose Manuel Rodriguez-Llanes, Qian Huang, Olesia Verstiuk, Nataliia Pidmurniak, Jennifer Wenjing Tao, Bo Burström, Petra Klepac, Ivan Erzen, Mario Chong, Manuel Barron, Terje P. Hagen, Zhanna Kalmatayeva, Kairat Davletov, Inbar Zucker, Zalman Kaufman, Maia Kereselidze, Levan Kandelaki, Nolwenn Le Meur, Lucy Goldsmith, Julia A. Critchley, Maria Angelica Pinilla, Gloria Isabel Jaramillo, Domingos Teixeira, Lara Ferrero Goméz, Jackeline Lobato, Carolina Araújo, Joseph Cuthbertson, Catherine M. Bennett, Antonis Polemitis, Andreas Charalambous, Christiana A. Demetriou, On behalf of the C-MOR consortium, University of Cyprus = Université de Chypre, European Commission - Joint Research Centre [Ispra] (JRC), University of South Carolina [Columbia], Bogomolets national medical university, Karolinska Institutet [Stockholm], National Institute of Public Health, Ljubljana, Slovenia, Universidad del Pacífico, University of Oslo (UiO), Centre de Recherches sur l'Action Politique en Europe (ARENES), Université de Rennes (UR)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), and Département Méthodes quantitatives en santé publique (METIS)
Subjects: Male, Coronavirus disease 2019 (COVID-19), [SDV]Life Sciences [q-bio], Life Expectancy, Medicine, Humans, Mortality, Pandemics, Aged, Pandemic, business.industry, Mortality, Premature, SARS-CoV-2, PYLL, Public Health, Environmental and Occupational Health, COVID-19, Disease burden, United States, Years of potential life lost, Impact, Potential years of life lost, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Female, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Public aspects of medicine, RA1-1270, business, Brazil, Demography, Research Article
Abstract: Background Understanding the impact of the burden of COVID-19 is key to successfully navigating the COVID-19 pandemic. As part of a larger investigation on COVID-19 mortality impact, this study aims to estimate the Potential Years of Life Lost (PYLL) in 17 countries and territories across the world (Australia, Brazil, Cape Verde, Colombia, Cyprus, France, Georgia, Israel, Kazakhstan, Peru, Norway, England & Wales, Scotland, Slovenia, Sweden, Ukraine, and the United States [USA]). Methods Age- and sex-specific COVID-19 death numbers from primary national sources were collected by an international research consortium. The study period was established based on the availability of data from the inception of the pandemic to the end of August 2020. The PYLL for each country were computed using 80 years as the maximum life expectancy. Results As of August 2020, 442,677 (range: 18–185,083) deaths attributed to COVID-19 were recorded in 17 countries which translated to 4,210,654 (range: 112–1,554,225) PYLL. The average PYLL per death was 8.7 years, with substantial variation ranging from 2.7 years in Australia to 19.3 PYLL in Ukraine. North and South American countries as well as England & Wales, Scotland and Sweden experienced the highest PYLL per 100,000 population; whereas Australia, Slovenia and Georgia experienced the lowest. Overall, males experienced higher PYLL rate and higher PYLL per death than females. In most countries, most of the PYLL were observed for people aged over 60 or 65 years, irrespective of sex. Yet, Brazil, Cape Verde, Colombia, Israel, Peru, Scotland, Ukraine, and the USA concentrated most PYLL in younger age groups. Conclusions Our results highlight the role of PYLL as a tool to understand the impact of COVID-19 on demographic groups within and across countries, guiding preventive measures to protect these groups under the ongoing pandemic. Continuous monitoring of PYLL is therefore needed to better understand the burden of COVID-19 in terms of premature mortality.
Published: 2022

37. Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE

Author: Dilek Savas, Gaëlle Dufour, Adriana Coman, Guillaume Siour, Audrey Fortems-Cheiney, Grégoire Broquet, Isabelle Pison, Antoine Berchet, Bertrand Bessagnet, Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-RAMCES (ICOS-RAMCES), École polytechnique (X), European Commission - Joint Research Centre [Ispra] (JRC), and ANR-19-CE01-0007,ARGONAUT,Suivi des émissions de polluants et de gaz à effet de serre à haute résolution depuis l'espace(2019)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, remote sensing, top-down estimation, Atmospheric Science, CIF, NOx emissions, OMI, inverse modeling, Environmental Science (miscellaneous), [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, air quality, CHIMERE
Abstract: International audience; The Chinese government introduced regulations to control emissions and reduce the level of NO x pollutants for the first time with the 12th Five-Year Plan in 2011. Since then, the changes in NO x emissions have been assessed using various approaches to evaluate the impact of the regulations. Complementary to the previous studies, this study estimates anthropogenic NO x emissions in 2015 and 2019 over Eastern China using as a reference the Hemispheric Transport of Air Pollution (HTAP) v2.2 emission inventory for 2010 and the new variational inversion system the Community Inversion Framework (CIF) interfaced with the CHIMERE regional chemistry transport model and OMI satellite observations. We also compared the estimated NO x emissions with the independent Multi-resolution Emission Inventory for China (MEIC) v1.3, from 2015. The inversions show a slight global decrease in NO x emissions (in 2015 and 2019 compared to 2010), mainly limited to the most urbanized and industrialized locations. In the locations such as Baotou, Pearl River Delta, and Wuhan, the estimations in 2015 compared to 2010 are consistent with the target reduction (10%) of the 12th Five-Year Plan. Comparisons between our emission estimates and MEIC emissions in 2015 suggest that our estimates likely underestimate the emission reductions between 2010 and 2015 in the most polluted locations of Eastern China. However, our estimates suggest that the MEIC inventory overestimates emissions in regions where MEIC indicates an increase of the emissions compared to 2010.
Published: 2023
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38. Heat wave monitoring over West African cities: uncertainties, characterization and recent trends

Author: Cedric Gacial Ngoungue Langue, Christophe Lavaysse, Mathieu Vrac, Cyrille Flamant, TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), European Commission - Joint Research Centre [Ispra] (JRC), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], climate change, reanalysis data, West Africa, General Earth and Planetary Sciences, climatic regions, heat waves
Abstract: Heat waves can be one of the most dangerous climatic hazards affecting the planet, having dramatic impacts on the health of humans and natural ecosystems as well as on anthropogenic activities, infrastructures and economy. Based on climatic conditions in West Africa, the urban centres of the region appear to be vulnerable to heat waves. The goals of this work are firstly to assess the potential uncertainties encountered in heat wave detection and secondly to analyse their recent trend in West Africa cities during the period 1993–2020. This is done using two state-of-the-art reanalysis products, namely the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) and Modern-Era Retrospective analysis for Research and Applications (MERRA), as well as two local station datasets, namely Dakar–Yoff in Senegal and Aéroport Félix Houphouët-Boigny, Abidjan, in Côte d'Ivoire. An estimate of station data from reanalyses is processed using an interpolation technique: the nearest neighbour to the station with a land sea mask ≥0.5. The interpolated temperatures from local stations in Dakar and Abidjan show slightly better correlation with ERA5 than with MERRA. Three types of uncertainty are discussed: the first type of uncertainty is related to the reanalyses themselves, the second is related to the sensitivity of heat wave frequency and duration to the threshold values used to monitor them, and the last one is linked to the choice of indicators and the methodology used to define heat waves. Three sorts of heat wave have been analysed, namely those occurring during daytime, nighttime, and both daytime and nighttime concomitantly. Four indicators have been used to analyse heat waves based on 2 m temperature, humidity, 10 m wind or a combination of these. We found that humidity plays an important role in nighttime events; concomitant events detected with wet-bulb temperature are more frequent and located over the northern Sahel. Strong and more persistent heat waves are found in the continental (CONT) region. For all indicators, we identified 6 years with a significantly higher frequency of events (1998, 2005, 2010, 2016, 2019 and 2020), possibly due to higher sea surface temperatures in the equatorial Atlantic Ocean corresponding to El Niño events for some years. A significant increase in the frequency, duration and intensity of heat waves in the cities has been observed during the last decade (2012–2020); this is thought to be a consequence of climate change acting on extreme events.
Published: 2023

39. Impacts of existing and planned hydropower dams on river fragmentation in the Balkan Region

Author: Carolli, Mauro, Garcia de Leaniz, Carlos, Jones, Joshua, Belletti, Barbara, Huđek, Helena, Pusch, Martin, Pandakov, Pencho, Börger, Luca, van de Bund, Wouter, SINTEF Energy Research, College of Science [Swansea], Swansea University, Environnement, Ville, Société (EVS), École normale supérieure de Lyon (ENS de Lyon)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-École Nationale des Travaux Publics de l'État (ENTPE)-École nationale supérieure d'architecture de Lyon (ENSAL)-Centre National de la Recherche Scientifique (CNRS), and European Commission - Joint Research Centre [Ispra] (JRC)
Subjects: Environmental Engineering, River connectivity, Fragmentation, [SDE]Environmental Sciences, Environmental Chemistry, River conservation, Dams Trade-offs, Pollution, Waste Management and Disposal, Hydropower
Abstract: The Balkan region has some of the best conserved rivers in Europe, but is also the location of ~3000 planned hydropower dams that are expected to help decarbonise energy production. A conflict between policies that promote renewable hydropower and those that prioritise river conservation has ensued, which can only be resolved with the help of reliable information. Using ground-truthed barrier data, we analysed the extent of current longitudinal river fragmentation in the Balkan region and simulated nine dam construction scenarios that varied depending on the number, location and size of the planned dams. Balkan rivers are currently fragmented by 83,017 barriers and have an average barrier density of 0.33 barriers/km after correcting for barrier underreporting; this is 2.2 times lower than the mean barrier density found across Europe and serves to highlight the relatively unfragmented nature of these rivers. However, our analysis shows that all simulated dam construction scenarios would result in a significant loss of connectivity compared to existing conditions. The largest loss of connectivity (−47 %), measured as reduction in barrier-free length, would occur if all planned dams were built, 20 % of which would impact on protected areas. The smallest loss of connectivity (−8 %) would result if only large dams (>10 MW) were built. In contrast, building only small dams (
Published: 2023

40. Assessing the ecological status in the context of the European Water Framework Directive: Where do we go now?

Author: Martin Kernan, Anne Lyche Solheim, Martin Daufresne, Maria Teresa Ferreira, Bertrand Villeneuve, Stéphane Stroffek, Yorick Reyjol, Philippe Usseglio-Polatera, Christine Argillier, Anthonie D. Buijse, Sandra Poikane, Ana Cristina Cardoso, Wouter van de Bund, Ángel Borja, Narcís Prat, Wendy Bonne, Office national de l'eau et des milieux aquatiques (ONEMA), Ministère de l'écologie, du développement durable et de l'énergie, Hydrobiologie (UR HYAX), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), AZTI - Tecnalia, Deltares system, Department of Geography, University College of London [London] (UCL), Department of Natural Resources, Environment and Landscape [Universidade de Lisboa], Universidade de Lisboa (ULISBOA), Freshwater Ecology and Management (FEM), Universitat de Barcelona (UB), Norwegian Institute for Water Research (NIVA), Agence de l'eau Rhône Méditérranée Corse, Laboratoire Interdisciplinaire des Environnements Continentaux (LIEC), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Milieux aquatiques, écologie et pollutions (UR MALY), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Terre et Environnement de Lorraine (OTELo), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut Ecologie et Environnement (INEE), and Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0106 biological sciences, Conservation of Natural Resources, Environmental Engineering, media_common.quotation_subject, Biodiversity, WFD, Context (language use), 010501 environmental sciences, 01 natural sciences, Science-policy interface, Ecosystem services, Environmental monitoring, Agency (sociology), State-of-the-art, Environmental Chemistry, Quality (business), 14. Life underwater, Waste Management and Disposal, Ecosystem, Bioassessment, 0105 earth and related environmental sciences, media_common, Riparian zone, geography.geographical_feature_category, Ecology, business.industry, 010604 marine biology & hydrobiology, Water Pollution, Environmental resource management, 15. Life on land, Pollution, 6. Clean water, Environmental Policy, Europe, Geography, Water Framework Directive, Aquatic ecosystems, 13. Climate action, [SDE]Environmental Sciences, business, Environmental Monitoring
Abstract: After more than a decade of implementation by water managers in all river basins across Europe, the Water Framework Directive (WFD) has now reached a maturity age. However, some significant gaps still remain in the way WFD is implemented, and there is now a need for water managers and scientist to communicate better in order to find scientific solutions to these gaps. To do so, a Science-Policy Interface (SPI) activity was launched in 2010 led by Directorate General (DG) Research and Onema (the French national agency for water and aquatic ecosystems), providing an interactive forum to connect scientists and WFD end-users. One major aim of the SPI activity was to establish a list of most crucial research and development needs for enhancing WFD implementation. The purpose of the present study is to make the synthesis of the proposals made regarding ecological status, for which 10 priority issues were raised. For lakes, temporary streams as well as transitional and coastal waters, WFD implementation still strongly suffer from the lack of WFD-compliant bioassessment methods. For rivers, special attention should now be paid to the ecological impacts of hydromorphological alterations on biological communities, notably those affecting river continuity and riparian covering. Spatial extrapolation tools are needed in order to evaluate ecological status for water bodies not directly surveyed. The need for more functional bioassessment tools as complements to usual WFD-compliant tools, and to clearly connect good ecological state, biodiversity and ecosystem services when implementing WFD have also been identified as crucial issues., JRC.H.1-Water Resources
Published: 2014

41. Climate change impacts on runoff in West Africa: a review

Author: Agnès Ducharne, Philippe Roudier, Luc Feyen, Climate and Risk Management Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Pierre et Marie Curie - Paris 6 (UPMC)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Hydrology, lcsh:GE1-350, lcsh:T, [SDE.MCG]Environmental Sciences/Global Changes, lcsh:Geography. Anthropology. Recreation, Climate change, 15. Life on land, Water efficiency, lcsh:Technology, 6. Clean water, lcsh:TD1-1066, Water resources, lcsh:G, 13. Climate action, Effects of global warming, Streamflow, Evapotranspiration, Environmental science, Climate model, Physical geography, lcsh:Environmental technology. Sanitary engineering, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Surface runoff, lcsh:Environmental sciences
Abstract: This review summarizes the impacts of climate change on runoff in West Africa, assesses the uncertainty in the projections and describes future research needs for the region. To do so, we constitute a meta-database made of 19 studies and 301 future runoff change values. The future tendency in streamflow developments is overall very uncertain (median of the 301 points is 0% and mean +5.2%), except for (i) the Gambia River, which exhibits a significant negative change (median = −4.5%), and (ii) the Sassandra and the Niger rivers, where the change is positive (+14.4% and +6.1%). A correlation analysis revealed that runoff changes are tightly linked to changes in rainfall (R = 0.49), and to a smaller extent also to changes in potential evapotranspiration. Other parameters than climate – such as the carbon effect on plant water efficiency, land use dynamics or water withdrawals – could also significantly impact on runoff, but they generally do not offset the effects of climate change. In view of the potential changes, the large uncertainty therein and the high vulnerability of the region to such changes, there is an urgent need for integrated studies that quantify the potential effects of these processes on water resources in West Africa and for more accuracy in climate models rainfall projections. We especially underline the lack of information concerning projections of future floods and droughts, and of interannual fluctuations in streamflow.
Published: 2014

42. Trophic level-based indicators to track fishing impacts across marine ecosystems

Author: Chiara Piroddi, Didier Gascuel, Kristin M. Kleisner, Christopher P. Lynam, Yunne Shin, Alida Bundy, Johanna J. Heymans, Marta Coll, Jorge Tam, Lynne J. Shannon, Morgane Travers-Trolet, Marine Research Institute and Department of Biological Sciences, University of Cape Town, UMR 212 EME 'écosystèmes marins exploités' (EME), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM), Spain & Ecopath International Initiative Research Association, Institut de Ciències del Mar, Population Ecology Division, Bedford Institute of Oceanography, Écologie et santé des écosystèmes (ESE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Scottish Association for Marine Science, Scottish Marine Institute, Lowestoft Laboratory, Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Water Resources Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Instituto del Mar del Peru (IMARPE), Fisheries Laboratory, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), South African Research Chair Initiative - South African Department of Science and Technology (DST), European Commission through the Marie Curie CIG grant, Defra [M1228], Spanish Research Program Ramon y Cajal, French project EMIBIOS (FRB) [APP-SCEN-2010-II], European collaborative project MEECE - Marine Ecosystem Evolution in a Changing Environment - (FP7) [212085], Fisheries and Oceans Canada SPERA project 'Ecosystem indicators for ecosystem monitoring at different scales', Conservation International, University of British Columbia, Pew Charitable Trusts, EU FP7 project DEVOTES [308392], and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Biodiversity, ecosystem model, Trophic spectra, DIVERSITE SPECIFIQUE, trophic level, 01 natural sciences, global comparison, Ecosystem model, Survey, catch, Trophic level, METHODE D'ANALYSE, Ecology, Global comparison, Aquatic ecosystem, indicator, Environmental resource management, Food webs, NIVEAU TROPHIQUE, ecosystem approach to fisheries, INDICATEUR ECOLOGIQUE, convention on biological diversity, CONSEQUENCE ECOLOGIQUE, Fishing, Aquatic Science, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, trophic spectra, Convention on Biological Diversity, Marine ecosystem, Ecosystem, survey, 14. Life underwater, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, business.industry, BIODIVERSITE, 010604 marine biology & hydrobiology, MODELISATION, Ecosystem approach to fisheries, Indicator, 13. Climate action, food webs, PECHE, Environmental science, Indicator value, business, Catch
Abstract: Shannon, Lynne ... et. al.-- Contribution to the Theme Section ‘Trophodynamics in marine ecology’.-- 26 pages, 4 figures, 8 tables, supplementary material https://doi.org/10.3354/meps10821, © Inter-Research and Fisheries and Oceans Canada 2014 Trophic level (TL)-based indicators have been widely used to examine fishing impacts in aquatic ecosystems and the induced biodiversity changes. However, much debate has ensued regarding discrepancies and challenges arising from the use of landings data from commercial fisheries to calculate TL indicators. Subsequent studies have started to examine survey-based and model-based indicators. In this paper, we undertake an extensive evaluation of a variety of TL indicators across 9 well-studied marine ecosystems by making use of model- as well as surveyand catch-based TL indicators. Using detailed regional information and data on fishing history, fishing intensity, and environmental conditions, we evaluate how well TL indicators are capturing fishing effects at the community level of marine ecosystems. Our results highlight that the differences observed between TL indicator values and trends is dependent on the data source and the TL cut-off point used in the calculations and is not attributable to an intrinsic problem with TLbased indicators. All 3 data sources provide useful information about the structural changes in the ecosystem as a result of fishing, but our results indicate that only model-based indicators represent fishing impacts at the whole ecosystem level, L.J.S. was supported through the South African Research Chair Initiative, funded through the South African Department of Science and Technology (DST) and administered by the South African National Research Foundation (NRF). M.C. was supported by the European Commission through the Marie Curie CIG grant to BIOWEB and the Spanish Research Program Ramon y Cajal. Y.J.S. and M.T. were supported by the French project EMIBIOS (FRB, contract no. APP-SCEN-2010-II). L.J.S. and Y.S. were also funded by the European collaborative project MEECE – Marine Ecosystem Evolution in a Changing Environment – (FP7, contract n°212085). A.B. was supported by Fisheries and Oceans Canada SPERA project ‘Ecosystem indicators for ecosystem monitoring at different scales’ (www.dfo-mpo.gc.ca/science/ecosystem/ projects/detail-eng.asp?pid=21). K.K. was supported by Conservation International and the ‘Sea Around Us’ project, a collaboration between The University of British Columbia and The Pew Charitable Trusts. C.P.L. and C.P. were supported by the EU FP7 project DEVOTES (grant agreement no. 308392), www.devotes-project.eu. C.P.L. was also supported by Defra M1228. This is a contribution to the IndiSeas Working Group, endorsed by IOC-UNESCO (www.iocunesco.org) and the European Network of Excellence Euroceans (www.eur-oceans.eu).
Published: 2014

43. Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data

Author: Hongbin Yu, Kostas Tsigaridis, Michael Schulz, Qian Tan, Ralph A. Kahn, Thomas Diehl, Susanne E. Bauer, Brigitte Koffi, Luca Pozzoli, Alain Chédin, Dongchul Kim, Toshihiko Takemura, Mian Chin, S. Peyridieu, Nicolas Bellouin, Universities Space Research Association (USRA), GSFC Earth Sciences Division, NASA Goddard Space Flight Center (GSFC), Earth System Sciences Interdisciplinary Center [College Park], University of Maryland [College Park], University of Maryland System-University of Maryland System, Center for Climate Systems Research [New York] (CCSR), Columbia University [New York], NASA Goddard Institute for Space Studies (GISS), Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan, Avrasya Yer Bilimleri Enstitüsü = Eurasia Institute of Earth Sciences [Istanbul] (AYBE), Istanbul Technical University (ITÜ), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Norwegian Meteorological Institute [Oslo] (MET), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Air and Climate Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)
Subjects: Atmospheric Science, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Field of view, 15. Life on land, Atmospheric sciences, Aerosol, Sun photometer, Geophysics, Lidar, Spectroradiometer, 13. Climate action, Space and Planetary Science, Atmospheric Infrared Sounder, Earth and Planetary Sciences (miscellaneous), Environmental science, Moderate-resolution imaging spectroradiometer, Optical depth, Remote sensing
Abstract: International audience; This study evaluates model-simulated dust aerosols over North Africa and the North Atlantic from five global models that participated in the Aerosol Comparison between Observations and Models phase II model experiments. The model results are compared with satellite aerosol optical depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging Spectroradiometer (MISR), and Sea-viewing Wide Field-of-view Sensor, dust optical depth (DOD) derived from MODIS and MISR, AOD and coarse-mode AOD (as a proxy of DOD) from ground-based Aerosol Robotic Network Sun photometer measurements, and dust vertical distributions/centroid height from Cloud Aerosol Lidar with Orthogonal Polarization and Atmospheric Infrared Sounder satellite AOD retrievals. We examine the following quantities of AOD and DOD: (1) the magnitudes over land and over ocean in our study domain, (2) the longitudinal gradient from the dust source region over North Africa to the western North Atlantic, (3) seasonal variations at different locations, and (4) the dust vertical profile shape and the AOD centroid height (altitude above or below which half of the AOD is located). The different satellite data show consistent features in most of these aspects; however, the models display large diversity in all of them, with significant differences among the models and between models and observations. By examining dust emission, removal, and mass extinction efficiency in the five models, we also find remarkable differences among the models that all contribute to the discrepancies of model-simulated dust amount and distribution. This study highlights the challenges in simulating the dust physical and optical processes, even in the best known dust environment, and stresses the need for observable quantities to constrain the model processes. Key Points North African dust is studied using observations and models Observations agree in the magnitude, distribution, and seasonality of dust Models show large differences to observations and they show large diversity ©2014. American Geophysical Union. All Rights Reserved.
Published: 2014

44. A diagnostic evaluation of precipitation in CORDEX models over Southern Africa

Author: Grigory Nikulin, Bruce Hewitson, Alice Favre, Christopher Lennard, Hans-Jürgen Panitz, Michael Kent, Mxolisi Shongwe, Alessandro Dosio, Matthias Büchner, Izidine Pinto, Evangelia-Anna Kalognomou, University of Cape Town, Laboratory of Heat Transfer and Environmental Engineering, Aristotle University of Thessaloniki, South African Weather Service ( SAWS ), Biogéosciences [Dijon] ( BGS ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Rossby Centre, Swedish Meteorological and Hydrological Institute ( SMHI ), Institut für Meteorologie und Klimaforschung, Karlsruher Institut für Technologie ( KIT ), Potsdam Institute for Climate Impact Research ( PIK ), Research supported by the Global Change System for Analysis, Research, and Training (START) in partnership with the University of Cape Town's Climate Systems Analysis Group, the World Climate Research Program, the Climate and Development Knowledge Network, the International Centre for Theoretical Physics, the Swedish Meteorological and Hydrological Institute, and the European Union Seventh Framework Programme (FP7, 2012-2013) under Grant Agreement 316167., Laboratory of Heat Transfer and Environmental Engineering [Thessaloniki] (LHTEE), South African Weather Service (SAWS), Biogéosciences [UMR 6282] [Dijon] (BGS), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Rossby Centre, SMHI, Norrköping, 601 76, Sweden, Swedish Meteorological and Hydrological Institute (SMHI), Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), and Potsdam Institute for Climate Impact Research (PIK)
Subjects: Climatology, Atmospheric Science, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Ensemble average, 0207 environmental engineering, Regional models, Magnitude (mathematics), 02 engineering and technology, Diagnostic evaluation, Atmospheric sciences, 01 natural sciences, Climate prediction, [ SDE.MCG ] Environmental Sciences/Global Changes, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Environmental science, Climate model, Precipitation, [ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology, 020701 environmental engineering, Climate variability, 0105 earth and related environmental sciences, Downscaling
Abstract: 30 pages; International audience; The authors evaluate the ability of 10 regional climate models (RCMs) to simulate precipitation over Southern Africa within the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework. An ensemble of 10 regional climate simulations and the ensemble average is analyzed to evaluate the models' ability to reproduce seasonal and interannual regional climatic features over regions of the subcontinent. All the RCMs use a similar domain, have a spatial resolution of ;50 km, and are driven by the Interim ECMWF Re-Analysis (ERA-Interim; 1989-2008). Results are compared against a number of observational datasets. In general, the spatial and temporal nature of rainfall over the region is captured by all RCMs, although individual models exhibit wet or dry biases over particular regions of the domain. Models generally produce lower seasonal variability of precipitation compared to observations and the magnitude of the variability varies in space and time. Model biases are related to model setup, simulated circulation anomalies, and moisture transport. The multimodel ensemble mean generally outperforms individual models, with bias magnitudes similar to differences across the observational datasets. In the northern parts of the domain, some of the RCMs and the ensemble average improve the precipitation climate compared to that of ERA-Interim. The models are generally able to capture the dry (wet) precipitation anomaly associated with El Nño (La Niña) events across the region. Based on this analysis, the authors suggest that the present set of RCMs can be used to provide useful information on climate projections of rainfall over Southern Africa.
Published: 2013

45. Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories

Author: C. Rose, M. Collaud Coen, E. Andrews, Y. Lin, I. Bossert, C. Lund Myhre, T. Tuch, A. Wiedensohler, M. Fiebig, P. Aalto, A. Alastuey, E. Alonso-Blanco, M. Andrade, B. Artíñano, T. Arsov, U. Baltensperger, S. Bastian, O. Bath, J. P. Beukes, B. T. Brem, N. Bukowiecki, J. A. Casquero-Vera, S. Conil, K. Eleftheriadis, O. Favez, H. Flentje, M. I. Gini, F. J. Gómez-Moreno, M. Gysel-Beer, A. G. Hallar, I. Kalapov, N. Kalivitis, A. Kasper-Giebl, M. Keywood, J. E. Kim, S.-W. Kim, A. Kristensson, M. Kulmala, H. Lihavainen, N.-H. Lin, H. Lyamani, A. Marinoni, S. Martins Dos Santos, O. L. Mayol-Bracero, F. Meinhardt, M. Merkel, J.-M. Metzger, N. Mihalopoulos, J. Ondracek, M. Pandolfi, N. Pérez, T. Petäjä, J.-E. Petit, D. Picard, J.-M. Pichon, V. Pont, J.-P. Putaud, F. Reisen, K. Sellegri, S. Sharma, G. Schauer, P. Sheridan, J. P. Sherman, A. Schwerin, R. Sohmer, M. Sorribas, J. Sun, P. Tulet, V. Vakkari, P. G. van Zyl, F. Velarde, P. Villani, S. Vratolis, Z. Wagner, S.-H. Wang, K. Weinhold, R. Weller, M. Yela, V. Zdimal, P. Laj, Institute for Atmospheric and Earth System Research (INAR), Laboratoire de Météorologie Physique (LaMP), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Federal Office of Meteorology and Climatology MeteoSwiss, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), National Oceanic and Atmospheric Administration (NOAA), Norwegian Institute for Air Research (NILU), Université Bourgogne Franche-Comté [COMUE] (UBFC), Leibniz Institute for Tropospheric Research (TROPOS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Centre for Energy, Environment and Technology (CIEMAT), Universidad Mayor de San Andrés (UMSA), Institute of Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Bulgarian Academy of Sciences (BAS), Paul Scherrer Institute (PSI), Saxon State Office for Environment, Agriculture and Geology, German Federal Environmental Agency / Umweltbundesamt (UBA), North-West University [Potchefstroom] (NWU), Universidad de Granada = University of Granada (UGR), Agence Nationale pour la Gestion des Déchets Radioactifs (ANDRA), Environmental Radioactivity Lab, Institute of Nuclear and Radiological Sciences & Technology, Energy & Safety, NCSR 'Demokritos' (NCSR 'Demokritos'), Institut National de l'Environnement Industriel et des Risques (INERIS), Meteorological Observatory Hohenpeissenberg (MOHp), University of Utah, Environmental Chemical Processes Laboratory [Heraklion] (ECPL), Department of Chemistry [Heraklion], University of Crete [Heraklion] (UOC)-University of Crete [Heraklion] (UOC), Vienna University of Technology (TU Wien), CSIRO Oceans and Atmosphere, CISRO Oceans and Atmosphere, National Institute of Meteorological Sciences (NIMS), Seoul National University [Seoul] (SNU), Division of Nuclear Physics, Lund University [Lund], Finnish Meteorological Institute (FMI), National Central University [Taiwan] (NCU), CNR Institute of Atmospheric Sciences and Climate (ISAC), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), European Commission - Joint Research Centre [Ispra] (JRC), University of Puerto Rico at Rio Piedras Campus (UPR-RP), Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR), National Observatory of Athens (NOA), Institute of Chemical Process Fundamentals of the ASCR, Czech Republic, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Environment and Climate Change Canada, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Appalachian State University, University of North Carolina System (UNC), Atmospheric Sounding Station 'El Arenosillo', Instituto Nacional de Técnica Aeroespacial (INTA), State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, Laboratoire de l'Atmosphère et des Cyclones (LACy), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, 4S Company, Leibniz-Institut für Troposphärenforschung (TROPOS), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), European Project: 654109,H2020,H2020-INFRAIA-2014-2015,ACTRIS-2(2015), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), University of Helsinki, University of Granada [Granada], Consiglio Nazionale delle Ricerche (CNR), Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, and Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Atmospheric Science, Global Atmosphere Watch (GAW), 010504 meteorology & atmospheric sciences, Planetary boundary layer, QC1-999, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, 010501 environmental sciences, Spatial distribution, Atmospheric sciences, 114 Physical sciences, 01 natural sciences, Atmosphere, medicine, Cloud condensation nuclei, 14. Life underwater, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, QD1-999, Diel vertical migration, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Physics, Seasonality, medicine.disease, Aerosol, Chemistry, 13. Climate action, Environmental science, Climate model, Trollobservatoriet
Abstract: This research was supported by the European Commission's Horizon 2020 Framework Programme (ACTRIS2 (grant agreement no. 654109)), the University of Helsinki, the Finnish Meteorological Institute, the Department of Science and Innovation of South Africa, the Academy of Finland Centre of Excellence programme (project no. 272041), the Academy of Finland project Greenhouse gas, aerosol and albedo variations in the changing Arctic (project no. 269095), the Novel Assessment of Black Carbon in the Eurasian Arctic: From Historical Concentrations and Sources to Future Climate Impacts (NABCEA, project no. 296302), the Korea Meteorological Administration Research and Development Program "Development of Monitoring and Analysis Techniques for Atmospheric Composition in Korea" (grant no. KMA2018-00522), the National Research Foundation of Korea (grant no. 2017R1D1A1B06032548), the Korea Meteorological Administration Research and Development Program (grant no. KMI2018-01111), the Taiwan Environmental Protection Administration, the China Meteorological Administration, the National Scientific Foundation of China (41675129, 41875147), the National Key R&D Program of the Ministry of Science and Technology of the People's Republic of China (grant no. 2016YFC0203305 and 2018YFC0213204), the Chinese Academy of Meteorological Sci-ences (2020KJ001), the Innovation Team for Haze-fog Observation and Forecasts of MOST and CMA, CNRS-INSU, the French Ministry for Research under the ACTRIS-FR national research infrastructure, the French Ministry of the Environment, MeteoSwiss (GAW-CH aerosol monitoring programme), the Swiss State Secretariat for Education, Research and Innovation (SERI), the Ministry of Education, Youth and Sports of CR within National Sustainability Program I (NPU I, grant no. LO1415), ERDF "ACTRISCZ RI" (grant no. CZ.02.1.01/0.0/0.0/16_013/0001315), CRISOL (CGL2017-85344-R MINECO/AEI/FEDER, UE), TIGAS-CM (Madrid Regional Government Y2018/EMT-5177), AIRTECCM (Madrid Regional Government P2018/EMT4329), REDMAAS2020 (RED2018-102594-T CIENCIA), Red de Excelencia ACTRIS-ESPANA (CGL2017-90884-REDT), the Spanish Ministry of Economy, Industry and Competitiveness, FEDER funds (project HOUSE, grant no. CGL2016-78594-R), the Generalitat de Catalunya (AGAUR 2017 SGR41 and the DGQA), the National Institute for Aerospace Technology, the Ministerio Espanol de Economia, Industria y Competitividad (MINECO), the Spanish Ministry of Economy and Competitiveness (projects no. CGL2016-81092-R, CGL2017-90884-REDT, RTI2018-097864-BI00 and PGC2018-098770-B-I00), the Andalusia Regional Government (project no. P18-RT-3820), the PANhellenic infrastructure for Atmospheric Composition and climate change (MIS 5021516), Research and Innovation Infrastructure, Competitiveness, Entrepreneurship and Innovation (grant no. NSRF 20142020), the Italian Ministry of Research and Education, the Norwegian Environment Agency, Swedish FORMAS, the Swedish Research Council (VR), the Magnus Bergvall foundation, the Marta och Erik Holmberg foundation, and the Swedish EPA., Aerosol particles are a complex component of the atmospheric system which influence climate directly by interacting with solar radiation, and indirectly by contributing to cloud formation. The variety of their sources, as well as the multiple transformations they may undergo during their transport (including wet and dry deposition), result in significant spatial and temporal variability of their properties. Documenting this variability is essential to provide a proper representation of aerosols and cloud condensation nuclei (CCN) in climate models. Using measurements conducted in 2016 or 2017 at 62 ground-based stations around the world, this study provides the most up-to-date picture of the spatial distribution of particle number concentration (N-tot) and number size distribution (PNSD, from 39 sites). A sensitivity study was first performed to assess the impact of data availability on N-tot's annual and seasonal statistics, as well as on the analysis of its diel cycle. Thresholds of 50% and 60% were set at the seasonal and annual scale, respectively, for the study of the corresponding statistics, and a slightly higher coverage (75 %) was required to document the diel cycle. Although some observations are common to a majority of sites, the variety of environments characterizing these stations made it possible to highlight contrasting findings, which, among other factors, seem to be significantly related to the level of anthropogenic influence. The concentrations measured at polar sites are the lowest (similar to 10(2) cm(-3)) and show a clear seasonality, which is also visible in the shape of the PNSD, while diel cycles are in general less evident, due notably to the absence of a regular day-night cycle in some seasons. In contrast, the concentrations characteristic of urban environments are the highest (similar to 10(3)-10(4) cm(-3)) and do not show pronounced seasonal variations, whereas diel cycles tend to be very regular over the year at these stations. The remaining sites, including mountain and non-urban continental and coastal stations, do not exhibit as obvious common behaviour as polar and urban sites and display, on average, intermediate N-tot (similar to 10(2)-10(3) cm(-3)). Particle concentrations measured at mountain sites, however, are generally lower compared to nearby lowland sites, and tend to exhibit somewhat more pronounced seasonal variations as a likely result of the strong impact of the atmospheric boundary layer (ABL) influence in connection with the topography of the sites. ABL dynamics also likely contribute to the diel cycle of N-tot observed at these stations. Based on available PNSD measurements, CCN-sized particles (considered here as either >50 nm or >100 nm) can represent from a few percent to almost all of N-tot, corresponding to seasonal medians on the order of similar to 10 to 1000 cm(-3), with seasonal patterns and a hierarchy of the site types broadly similar to those observed for N-tot. Overall, this work illustrates the importance of in situ measurements, in particular for the study of aerosol physical properties, and thus strongly supports the development of a broad global network of near surface observatories to increase and homogenize the spatial coverage of the measurements, and guarantee as well data availability and quality. The results of this study also provide a valuable, freely available and easy to use support for model comparison and validation, with the ultimate goal of contributing to improvement of the representation of aerosol-cloud interactions in models, and, therefore, of the evaluation of the impact of aerosol particles on climate., European Commission's Horizon 2020 Framework Programme (ACTRIS2) 654109, University of Helsinki, Finnish Meteorological Institute, Department of Science and Innovation of South Africa, Academy of Finland 272041, Academy of Finland project Greenhouse gas, aerosol and albedo variations in the changing Arctic 269095, Novel Assessment of Black Carbon in the Eurasian Arctic: From Historical Concentrations and Sources to Future Climate Impacts (NABCEA) 296302, Korea Meteorological Administration Research and Development Program "Development of Monitoring and Analysis Techniques for Atmospheric Composition in Korea" KMA2018-00522, National Research Foundation of Korea 2017R1D1A1B06032548, Korea Meteorological Administration Research and Development Program KMI2018-01111, Taiwan Environmental Protection Administration, China Meteorological Administration, National Natural Science Foundation of China (NSFC) 41675129 41875147, National Key R&D Program of the Ministry of Science and Technology of the People's Republic of China 2016YFC0203305 2018YFC0213204, Chinese Academy of Meteorological Sciences 2020KJ001, Innovation Team for Haze-fog Observation and Forecast of MOST Innovation Team for Haze-fog Observation and Forecast of CMA Innovation Team for Haze-fog Observation and Forecast of CNRS-INSU, French Ministry for Research under the ACTRIS-FR national research infrastructure, French Ministry of the Environment, MeteoSwiss (GAW-CH aerosol monitoring programme), Swiss State Secretariat for Education, Research and Innovation (SERI), Ministry of Education, Youth and Sports of CR within National Sustainability Program I (NPU I) LO1415, ERDF "ACTRISCZ RI" CZ.02.1.01/0.0/0.0/16_013/0001315, CRISOL CGL2017-85344, TIGAS-CM (Madrid Regional Government) Y2018/EMT-5177, AIRTECCM (Madrid Regional Government) P2018/EMT4329, REDMAAS2020 RED2018-102594-T, Red de Excelencia ACTRIS-ESPANA CGL2017-90884-REDT, Spanish Ministry of Economy, Industry and Competitiveness, FEDER funds CGL2016-78594-R, Generalitat de Catalunya, General Electric AGAUR 2017 SGR41, National Institute for Aerospace Technology, Ministerio Espanol de Economia, Industria y Competitividad (MINECO) Spanish Government CGL2017-90884-REDT CGL2016-81092-R RTI2018-097864-BI00 PGC2018-098770-B-I00, Andalusia Regional Government P18-RT-3820, PANhellenic infrastructure for Atmospheric Composition and climate change MIS 5021516, Research and Innovation Infrastructure, Competitiveness, Entrepreneurship and Innovation NSRF 20142020, Ministry of Education, Universities and Research (MIUR), Norwegian Environment Agency, Swedish FORMAS, Swedish Research Council, Magnus Bergvall foundation, Marta och Erik Holmberg foundation, Swedish EPA
Published: 2021

46. Global Carbon Budget 2022

Author: Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Alkama, R., Arneth, A., Arora, V. K., Bates, N. R., Becker, M., Bellouin, N., Bittig, H. C., Bopp, L., Chevallier, F., Chini, L. P., Cronin, M., Evans, W., Falk, S., Feely, R. A., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, L., Grassi, G., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Houghton, R. A., Hurtt, G. C., Iida, Y., Ilyina, T., Jain, A. K., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Landschützer, P., Lefèvre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., McGrath, M. J., Metzl, N., Monacci, N. M., Munro, D. R., Nakaoka, S.-I., Niwa, Y., O'Brien, K., Ono, T., Palmer, P. I., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Rodriguez, C., Rosan, T. M., Schwinger, J., Séférian, R., Shutler, J. D., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A. J., Sweeney, C., Takao, S., Tanhua, T., Tans, P. P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G. R., Walker, A. P., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., Zheng, B., Integr. Assessm. Global Environm. Change, Environmental Sciences, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, College of Life and Environmental Sciences [Exeter], University of Exeter, Rice University [Houston], Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), Meteorology and Air Quality Group, Wageningen University and Research [Wageningen] (WUR), Geophysical Institute [Bergen] (GFI / BiU), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Meteorology and Air Quality Department [Wageningen] (MAQ), Ludwig-Maximilians-Universität München (LMU), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Stanford Woods Institute for the Environment, Stanford University, European Commission - Joint Research Centre [Ispra] (JRC), Karlsruhe Institute of Technology (KIT), Canadian Centre for Climate Modelling and Analysis (CCCma), Environment and Climate Change Canada, Austral, Boréal et Carbone (ABC), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Cycles biogéochimiques marins : processus et perturbations (CYBIOM), Earth Sciences, Amsterdam Sustainability Institute, and Isotope Research
Subjects: WIMEK, [SDE.MCG]Environmental Sciences/Global Changes, SDG 13 - Climate Action, Life Science, General Earth and Planetary Sciences, Luchtkwaliteit, Air Quality
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize data sets and methodologies to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) is estimated with global ocean biogeochemistry models and observation-based data products. The terrestrial CO2 sink (SLAND) is estimated with dynamic global vegetation models. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the year 2021, EFOS increased by 5.1 % relative to 2020, with fossil emissions at 10.1 ± 0.5 GtC yr−1 (9.9 ± 0.5 GtC yr−1 when the cement carbonation sink is included), and ELUC was 1.1 ± 0.7 GtC yr−1, for a total anthropogenic CO2 emission (including the cement carbonation sink) of 10.9 ± 0.8 GtC yr−1 (40.0 ± 2.9 GtCO2). Also, for 2021, GATM was 5.2 ± 0.2 GtC yr−1 (2.5 ± 0.1 ppm yr−1), SOCEAN was 2.9 ± 0.4 GtC yr−1, and SLAND was 3.5 ± 0.9 GtC yr−1, with a BIM of −0.6 GtC yr−1 (i.e. the total estimated sources were too low or sinks were too high). The global atmospheric CO2 concentration averaged over 2021 reached 414.71 ± 0.1 ppm. Preliminary data for 2022 suggest an increase in EFOS relative to 2021 of +1.0 % (0.1 % to 1.9 %) globally and atmospheric CO2 concentration reaching 417.2 ppm, more than 50 % above pre-industrial levels (around 278 ppm). Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959–2021, but discrepancies of up to 1 GtC yr−1 persist for the representation of annual to semi-decadal variability in CO2 fluxes. Comparison of estimates from multiple approaches and observations shows (1) a persistent large uncertainty in the estimate of land-use change emissions, (2) a low agreement between the different methods on the magnitude of the land CO2 flux in the northern extratropics, and (3) a discrepancy between the different methods on the strength of the ocean sink over the last decade. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set. The data presented in this work are available at https://doi.org/10.18160/GCP-2022 (Friedlingstein et al., 2022b).
Published: 2022

47. AlgaeTraits: a trait database for (European) seaweeds

Author: Sofie Vranken, Marine Robuchon, Stefanie Dekeyzer, Ignacio Bárbara, Inka Bartsch, Aurélie Blanfuné, Charles-François Boudouresque, Wim Decock, Christophe Destombe, Bruno de Reviers, Pilar Díaz-Tapia, Anne Herbst, Romain Julliard, Rolf Karez, Priit Kersen, Stacy A. Krueger-Hadfield, Ralph Kuhlenkamp, Akira F. Peters, Viviana Peña, Cristina Piñeiro-Corbeira, Fabio Rindi, Florence Rousseau, Jan Rueness, Hendrik Schubert, Kjersti Sjøtun, Marta Sansón, Dan Smale, Thierry Thibaut, Myriam Valero, Leen Vandepitte, Bart Vanhoorne, Alba Vergés, Marc Verlaque, Christophe Vieira, Line Le Gall, Frederik Leliaert, Olivier De Clerck, European Commission - Joint Research Centre [Ispra] (JRC), Universidade da Coruña, Alfred-Wegener-Institute Helmholtz Centre for Polar and Marine Research, Biologische Anstalt Helgoland, Helgoland, Germany, Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Biologie évolutive et écologie des algues = Evolutionary Biology and Ecology of Algae (EBEA), Pontificia Universidad Católica de Chile (UC)-Sorbonne Université (SU)-Universidad Austral de Chile-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Centre d'Ecologie et des Sciences de la COnservation (CESCO), Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Alabama at Birmingham [ Birmingham] (UAB), Centre d'études et de valorisation des algues (CEVA), University of Aberdeen, Bezhin Rosko, ESSD – Ocean/Biological oceanography, Dipartimento di Scienze della Vita e dell’Ambiente, Università Politecnica delle Marche, Ancona, Italy, Muséum national d'Histoire naturelle (MNHN)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), and University of Bergen (UiB)
Subjects: [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences
Abstract: The analysis of biological and ecological traits has a long history in evolutionary and ecological research. However, trait data are often scattered and standardised terminology that transcends taxonomic and biogeographical context are generally missing. As part of the development of a global trait database of marine species, we collated trait information for European seaweeds and structured the data within the standardised framework of the World Register of Marine Species (WoRMS). We collected 45,175 records for 21 biologically and ecologically relevant traits of seaweeds. This resulted in a trait database for 1,745 European seaweed species of which more than half (56 %) of the records were documented at the species level, while the remaining 44 % was documented at a higher taxonomic level and subsequently inherited at lower levels. The trait database for European seaweeds will serve as a foundation for future research on diversity and evolution of seaweeds, and their responses to global changes. The data will contribute to developing detailed trait-based ecosystem models, and will be an important tool to inform marine conservation policies. The data is publicly accessible through the AlgaeTraits portal, algaetraits.org, doi: https://doi.org/10.14284/574, (AlgaeTraits, 2022).
Published: 2022

48. Toward a common approach for assessing the conservation status of marine turtle species within the European marine strategy framework directive

Author: Fanny Girard, Alexandre Girard, Jonathan Monsinjon, Antonella Arcangeli, Eduardo Belda, Luis Cardona, Paolo Casale, Sidonie Catteau, Léa David, Florence Dell’Amico, Delphine Gambaiani, Marc Girondot, Imed Jribi, Giancarlo Lauriano, Paolo Luschi, David March, Antonios D. Mazaris, Claude Miaud, Andreas Palialexis, Jacques Sacchi, Ricardo Sagarminaga, Paola Tepsich, Jesús Tomás, Frederic Vandeperre, Françoise Claro, Patrimoine naturel (PatriNat), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB), Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Universitat Politècnica de València (UPV), Universitat de Barcelona (UB), University of Pisa - Università di Pisa, Institut EcoOcean, Partenaires INRAE, Aquarium La Rochelle, Université de Sfax - University of Sfax, Centre for Ecology and Conservation, University of Exeter, Aristotle University of Thessaloniki, Société Herpétologique de France (SHF), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), and European Commission - Joint Research Centre [Ispra] (JRC)
Subjects: Global and Planetary Change, ZOOLOGIA, Northeast Atlantic Ocean, Ocean Engineering, Aquatic Science, Oceanography, [SDE.ES]Environmental Sciences/Environmental and Society, 14.- Conservar y utilizar de forma sostenible los océanos, mares y recursos marinos para lograr el desarrollo sostenible, Good environmental status, Mediterranean Sea, Indicators, MSFD, Sea turtles, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, Water Science and Technology
Abstract: [EN] Environmental policies, including the European Marine Strategy Framework Directive (MSFD), generally rely on the measurement of indicators to assess the good environmental status (GES) and ensure the protection of marine ecosystems. However, depending on available scientific knowledge and monitoring programs in place, quantitative GES assessments are not always feasible. This is specifically the case for marine turtle species, which are listed under the Biodiversity Descriptor of the MSFD. Relying on an expert consultation, the goal of this study was to develop indicators and a common assessment approach to be employed by European Union Member States to evaluate the status of marine turtle populations in the frame of the MSFD. A dedicated international expert group was created to explore and test potential assessment approaches, in coherence with other environmental policies (i.e. Habitats Directive, OSPAR and Barcelona Conventions). Following a series of workshops, the group provided recommendations for the GES assessment of marine turtles. In particular, indicators and assessment methods were defined, setting a solid basis for future MSFD assessments. Although knowledge gaps remain, data requirements identified in this study will guide future data collection initiatives and inform monitoring programs implemented by EU Member States. Overall this study highlights the value of international collaboration for the conservation of vulnerable species, such as marine turtles., This study was funded by the French Ministry of Environment (MTES-MNHN Conventions n degrees 2102636187 (2019) and n degrees 2102994526 (2020)). DM acknowledges support from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement n degrees 794938. The work of ADM was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the "First Call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant" (Project Number: 2340). FV was supported by the Investigator Programme of the Fundacao para a Ciencia e Tecnologia (FCT, CEECIND/03469/2017, CEECIND/03426/2020).
Published: 2022

49. Simulated air quality and pollutant budgets over Europe in 2008

Author: Konstantinos Markakis, Mihalis Vrekoussis, Evangelos Gerasopoulos, Jens Hjorth, Ulas Im, Andreas Richter, Tayfun Kindap, Stelios Myriokefalitakis, Nikos Daskalakis, G. Kouvarakis, Maria Kanakidou, John P. Burrows, Luca Pozzoli, Alper Unal, Environmental Chemical Processes Laboratory [Heraklion] (ECPL), Department of Chemistry [Heraklion], University of Crete [Heraklion] (UOC)-University of Crete [Heraklion] (UOC), Institute of Chemical Engineering Sciences - Hellas [Crete] (ICE-HT), Foundation for Research and Technology - Hellas (FORTH), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Energy, Environment and Water Research Center (EEWRC), Cyprus Institute (CyI), Academy of Athens, Air and Climate Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Institute for Environmental Research and Sustainable Development (IERSD), National Observatory of Athens (NOA), Institute of Environmental Physics [Bremen] (IUP), University of Bremen, Avrasya Yer Bilimleri Enstitüsü = Eurasia Institute of Earth Sciences [Istanbul] (AYBE), Istanbul Technical University (ITÜ), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Peroxyacetyl nitrate, Environmental Engineering, Particulates, Atmospheric sciences, 7. Clean energy, Pollution, AERONET, Aerosol, SCIAMACHY, Troposphere, Europe, chemistry.chemical_compound, chemistry, Models, Chemical, 13. Climate action, Climatology, Air Pollution, 11. Sustainability, Environmental Chemistry, Nitrogen dioxide, Waste Management and Disposal, Air quality index, Environmental Monitoring
Abstract: International audience; Major gaseous and particulate pollutant levels over Europe in 2008 have been simulated using the offline-coupled WRFCMAQ chemistry and transport modeling system. The simulations are compared with surface observations from the EMEP stations, ozone (O3) soundings, ship-borne O3 and nitrogen dioxide (NO2) observations in the western Mediterranean, tropospheric NO2 vertical column densities from the SCIAMACHY instrument, and aerosol optical depths (AOD) from the AERONET. The results show that on average, surface O3 levels are underestimated by 4 to 7% over the northern European EMEP stations while they are overestimated by 7-10% over the southern European EMEP stations and underestimated in the tropospheric column (by 10-20%). Particulate matter (PM) mass concentrations are underestimated by up to 60%, particularly in southern and eastern Europe, suggesting underestimated PM sources. Larger differences are calculated for individual aerosol components, particularly for organic and elemental carbon than for the total PM mass, indicating uncertainty in the combustion sources. Better agreement has been obtained for aerosol species over urban areas of the eastern Mediterranean, particularly for nss-SO4 2, attributed to the implementation of higher quality emission inventories for that area. Simulated AOD levels are lower than the AERONET observations by 10% on average, with average underestimations of 3% north of 40°N, attributed to the low anthropogenic emissions in the model and 22% south of 40°N, suggesting underestimated natural and resuspended dust emissions. Overall, the results reveal differences in the model performance between northern and southern Europe, suggesting significant differences in the representation of both anthropogenic and natural emissions in these regions. Budget analyses indicate that O3 and peroxyacetyl nitrate (PAN) are transported from the free troposphere (FT) to the planetary boundary layer over Europe, while other species follow the reverse path and are then advected away from the source region. © 2013 Elsevier B.V.
Published: 2013

50. Characterization of dust emission from alluvial sources using aircraft observations and high-resolution modeling

Author: Schepanski, K., Flamant, Cyrille, Chaboureau, Jean-Pierre, Kocha, Cécile, Banks, J. R., Brindley, H. E., Lavaysse, Christophe, Marnas, Fabien, Pelon, Jacques, Tulet, Pierre, School of Earth and Environment [Leeds] (SEE), University of Leeds, TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Space and Atmospheric Physics Group [London], Blackett Laboratory, Imperial College London-Imperial College London, Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Atmosphère et des Cyclones (LACy), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), Leibniz Institute for Tropospheric Research (TROPOS), SPACE - LATMOS, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), and Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS)
Subjects: MSG SEVIRI, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Lidar, Dust source, [SDE]Environmental Sciences, Low-level jet, Mesoscale modeling, Mineral dust
Abstract: International audience; We investigate mineral dust emission from alluvial sediments within the upland region in northern Mauritania in the vicinity of a decaying nocturnal low-level jet (LLJ). For the first time, the impact of valleys that are embedded in a rather homogeneous surrounding is investigated with regard to their role as dust source. Measures for local atmospheric dust burden were retrieved from airborne observations, satellite observations, and model simulations and analyzed in order to provide complementary information at different horizontal scales. Observations by the LEANDRE Nouvelle Generation backscatter lidar system flying aboard the French Falcon 20 aircraft were taken along five parallel flight legs perpendicular to the orientation of the main valley system dominating the topography of the study area. Results from a comparison of lidar-derived extinction coefficients with topography and aerial photographs confirm the relevance of (1) alluvial sediments at the valley bottoms as a dust source, and (2) the break-down of the nocturnal LLJ as a trigger for dust emission in this region. An evaluation of the AROME regional model, forecasting dust at high resolution (5 km grid), points toward an under-representation of alluvial dust sources in this region. This is also evident from simulations by the MesoNH research model. Although MesoNH simulations show higher dust loadings than AROME, which are more comparable to the observations, both models underestimate the dust concentrations within the boundary layer compared to lidar observations. A sensitivity study on the impact of horizontal grid spacing (5 km versus 1 km) highlights the importance of spatial resolution on simulated dust loadings.
Published: 2013

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