Author: "Department of Global Ecology [Carnegie] (DGE)" - Searchworks@Jio Institute Digital Library Search Results

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34 results on '"Department of Global Ecology [Carnegie] (DGE)"'

1. 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

2. Fire affects the taxonomic and functional composition of soil microbial communities, with cascading effects on grassland ecosystem functioning

Author: Mengting Yuan, Jessica Gutknecht, N. R. Chiariello, Jizhong Zhou, Qiaoshu Zheng, Bruce A. Hungate, Christopher B. Field, Sihang Yang, Audrey Niboyet, Xavier Le Roux, Yunfeng Yang, Kathryn M. Docherty, Xingyu Ma, Tsinghua University [Beijing], University of Oklahoma (OU), Department of Global Ecology [Carnegie Institution], Carnegie Institution for Science [Washington], Western Michigan University [Kalamazoo], Helmholtz Centre for Environmental Research (UFZ), Northern Arizona University [Flagstaff], AgroParisTech, Institut d'écologie et des sciences de l'environnement de Paris (IEES (UMR_7618 / UMR_D_242 / UMR_A_1392 / UM_113) ), Institut National de la Recherche Agronomique (INRA)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Vétérinaire de Lyon (ENVL)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Tsinghua University [Beijing] (THU), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris), Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Ecole Nationale Vétérinaire de Lyon (ENVL)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, media_common.quotation_subject, feu, microbial communities, 010603 evolutionary biology, 01 natural sciences, complex mixtures, incendie, Competition (biology), California, Soil respiration, Soil, séquençage à haut débit, californie, Environmental Chemistry, Ecosystem, global change, Soil Microbiology, 0105 earth and related environmental sciences, General Environmental Science, media_common, changement climatique, Global and Planetary Change, communauté microbienne, Ecology, Californian grasslands, Microbiota, high‐throughput sequencing, prairie, high-throughput sequencing, Global change, Plant community, Soil carbon, 15. Life on land, Biological Sciences, Grassland, climate change, Disturbance (ecology), 13. Climate action, GeoChip, Environmental science, microbial community, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Cycling, fire, Environmental Sciences
Abstract: Fire is a crucial event regulating the structure and functioning of many ecosystems. Yet few studies have focused on how fire affects taxonomic and functional diversities of soil microbial communities, along with changes in plant communities and soil carbon (C) and nitrogen (N) dynamics. Here, we analyze these effects in a grassland ecosystem 9months after an experimental fire at the Jasper Ridge Global Change Experiment site in California, USA. Fire altered soil microbial communities considerably, with community assembly process analysis showing that environmental selection pressure was higher in burned sites. However, a small subset of highly connected taxa was able to withstand the disturbance. In addition, fire decreased the relative abundances of most functional genes associated with C degradation and N cycling, implicating a slowdown of microbial processes linked to soil C and N dynamics. In contrast, fire stimulated above- and belowground plant growth, likely enhancing plant-microbe competition for soil inorganic N, which was reduced by a factor of about 2. To synthesize those findings, we performed structural equation modeling, which showed that plants but not microbial communities were responsible for significantly higher soil respiration rates in burned sites. Together, our results demonstrate that fire 'reboots' the grassland ecosystem by differentially regulating plant and soil microbial communities, leading to significant changes in soil C and N dynamics.
Published: 2020

3. Recent global decline of CO$_2$ fertilization effects on vegetation photosynthesis

Author: Wenping Yuan, Dan Zhu, Wei He, Ivan A. Janssens, Mousong Wu, Benjamin Poulter, Jing M. Chen, Yongguang Zhang, Marcos Fernández-Martínez, Jordi Sardans, Josep Peñuelas, Ramdane Alkama, Hanqin Tian, Alessandro Cescatti, Elliott Campbell, Atul K. Jain, Joseph A. Berry, Markus Kautz, Etsushi Kato, Ning Zeng, Nicolas Vuichard, Philippe Ciais, Stephen Sitch, Rong Wang, Daniel S. Goll, William K. Smith, Pierre Friedlingstein, Vanessa Haverd, Sebastian Lienert, Songhan Wang, A. Wiltshire, Weimin Ju, Tanja G. M. Sanders, Danica Lombardozzi, Inken Krüger, Nanjing University (NJU), 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), European Commission - Joint Research Centre [Ispra] (JRC), CREAF - Centre for Ecological Research and Applied Forestries, University of Antwerp (UA), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, University of California (UC), College of Life and Environmental Sciences [Exeter], University of Exeter, College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Arizona, School of Atmospheric Sciences [Nanjing], National Center for Atmospheric Research [Boulder] (NCAR), Forest Research Institute Baden-Württemberg - Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg, Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Institute of Applied Energy (IAE), NASA Goddard Space Flight Center (GSFC), Thunen Institute of Forest Ecosystems, Thünen Institute, Department of Environmental Science and Engineering [Shanghai], Fudan University [Shanghai], Department of Atmospheric and Oceanic Science [College Park] (AOSC), University of Maryland [College Park], University of Maryland System-University of Maryland System, Forest Economics and Policy, School of Forestry and Wildlife Science, Auburn University (AU), University of Illinois [Chicago] (UIC), University of Illinois System, CSIRO Marine and Atmosphere Research [Hobart], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Augsburg (UNIA), Consejo Superior de Investigaciones Científicas [Spain] (CSIC), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), 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), Carnegie Institution for Science [Washington], University of California, Universität Bern [Bern]-Universität Bern [Bern], and University of Augsburg [Augsburg]
Subjects: 0303 health sciences, Multidisciplinary, 010504 meteorology & atmospheric sciences, [SDV]Life Sciences [q-bio], Global warming, Carbon sink, Forcing (mathematics), Vegetation, Atmospheric sciences, 01 natural sciences, Carbon cycle, 03 medical and health sciences, chemistry.chemical_compound, Nutrient, Productivity (ecology), chemistry, 13. Climate action, Carbon dioxide, Environmental science, 030304 developmental biology, 0105 earth and related environmental sciences
Abstract: A decline in the carbon fertilization effect One source of uncertainty in climate science is how the carbon fertilization effect (CFE) will contribute to mitigation of anthropogenic climate change. Wang et al. explored the temporal dynamics of CFE on vegetation photosynthesis at the global scale. There has been a decline over recent decades in the contribution of CFE to vegetation photosynthesis, perhaps owing to the limiting effects of plant nutrients such as nitrogen and phosphorus. This declining trend has not been adequately accounted for in carbon cycle models. CFE thus has limitations for long-term mitigation of climate change, and future warming might currently be underestimated. Science , this issue p. 1295
Published: 2020

4. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity

Author: Julia Pongratz, Atul K. Jain, P. Ciais, Markus Reichstein, Tammas Loughran, Pierre Friedlingstein, Peter Anthoni, Jean-Pierre Wigneron, Zheng Fu, Almut Arneth, Sebastian Lienert, Patrick C. McGuire, Lei Fan, Ana Bastos, Jürgen Knauer, Hanqin Tian, Sönke Zaehle, Emilie Joetzjer, Nicolas Viovy, Stephen Sitch, Ulrich Weber, Vanessa Haverd, Ludwig Maximilian University [Munich] (LMU), 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), College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Potsdam Institute for Climate Impact Research (PIK), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Ludwig-Maximilians-Universität München (LMU), 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), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, 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), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Department of Meteorology [Reading], University of Reading (UOR), Auburn University (AU), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), 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), 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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Carnegie Institution for Science [Washington], Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), and Universität Bern [Bern]-Universität Bern [Bern]
Subjects: 010504 meteorology & atmospheric sciences, Summer heat, 530 Physics, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, Sink (geography), Ecosystem carbon, ddc:550, Ecosystem, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Water content, Research Articles, 0105 earth and related environmental sciences, 2. Zero hunger, Climatology, geography, Multidisciplinary, geography.geographical_feature_category, Ecology, fungi, SciAdv r-articles, food and beverages, Vegetation composition, 15. Life on land, Heat wave, Earth sciences, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Environmental science, Research Article
Abstract: Ecosystems responded asymmetrically to the 2018 European drought., In summer 2018, central and northern Europe were stricken by extreme drought and heat (DH2018). The DH2018 differed from previous events in being preceded by extreme spring warming and brightening, but moderate rainfall deficits, yet registering the fastest transition between wet winter conditions and extreme summer drought. Using 11 vegetation models, we show that spring conditions promoted increased vegetation growth, which, in turn, contributed to fast soil moisture depletion, amplifying the summer drought. We find regional asymmetries in summer ecosystem carbon fluxes: increased (reduced) sink in the northern (southern) areas affected by drought. These asymmetries can be explained by distinct legacy effects of spring growth and of water-use efficiency dynamics mediated by vegetation composition, rather than by distinct ecosystem responses to summer heat/drought. The asymmetries in carbon and water exchanges during spring and summer 2018 suggest that future land-management strategies could influence patterns of summer heat waves and droughts under long-term warming.
Published: 2020

5. Global Carbon Budget 2019

Author: P. Friedlingstein, M. W. Jones, M. O'Sullivan, R. M. Andrew, J. Hauck, G. P. Peters, W. Peters, J. Pongratz, S. Sitch, C. Le Quéré, D. C. E. Bakker, J. G. Canadell, P. Ciais, R. B. Jackson, P. Anthoni, L. Barbero, A. Bastos, V. Bastrikov, M. Becker, L. Bopp, E. Buitenhuis, N. Chandra, F. Chevallier, L. P. Chini, K. I. Currie, R. A. Feely, M. Gehlen, D. Gilfillan, T. Gkritzalis, D. S. Goll, N. Gruber, S. Gutekunst, I. Harris, V. Haverd, R. A. Houghton, G. Hurtt, T. Ilyina, A. K. Jain, E. Joetzjer, J. O. Kaplan, E. Kato, K. Klein Goldewijk, J. I. Korsbakken, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. Lenton, S. Lienert, D. Lombardozzi, G. Marland, P. C. McGuire, J. R. Melton, N. Metzl, D. R. Munro, J. E. M. S. Nabel, S.-I. Nakaoka, C. Neill, A. M. Omar, T. Ono, A. Peregon, D. Pierrot, B. Poulter, G. Rehder, L. Resplandy, E. Robertson, C. Rödenbeck, R. Séférian, J. Schwinger, N. Smith, P. P. Tans, H. Tian, B. Tilbrook, F. N. Tubiello, G. R. van der Werf, A. J. Wiltshire, S. Zaehle, College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), New Zealand Centre for Ecological Economics (NZCEE), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Wageningen University and Research [Wageningen] (WUR), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, College of Life and Environmental Sciences [Exeter], School of Environmental Sciences [Norwich], Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, 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), Woods Hole Oceanographic Institution (WHOI), Karlsruhe Institute of Technology (KIT), Cooperative Institute for Marine and Atmospheric Studies (CIMAS), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], Department of Geography [München], Ludwig-Maximilians-Universität München (LMU), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), 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, 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), Physical Research Laboratory [Ahmedabad] (PRL), Indian Space Research Organisation (ISRO), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, National Institute of Water and Atmospheric Research [Wellington] (NIWA), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Flanders Marine Institute, VLIZ, Institute of Geophysics and Planetary Physics [Los Angeles] (IGPP), University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Commonwealth Scientific and Industrial Research Organisation (CSIRO), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Montana State University (MSU), University of Oxford, Oxford, United Kingdom, The Institute of Applied Energy (IAE), PBL Netherlands Environmental Assessment Agency, Max-Planck-Institut für Meteorologie (MPI-M), 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), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), National Center for Atmospheric Research [Boulder] (NCAR), Environment and Climate Change Canada, Cycles biogéochimiques marins : processus et perturbations (CYBIOM), University of Wisconsin Whitewater, National Institute for Environmental Studies (NIES), National Institute of Advanced Industrial Science and Technology (AIST), Finnish Environment Institute (SYKE), Princeton University, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Max Planck Institute for Biogeochemistry (MPI-BGC), Shandong Agricultural University (SDAU), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), 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), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), Potsdam Institute for Climate Impact Research (PIK), Carnegie Institution for Science [Washington], 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), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), 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)), 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), 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)), 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), Universität Bern [Bern]-Universität Bern [Bern], 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 de Paris (UP)-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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-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 de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Department of Global Ecology [Carnegie Institution], College of Life and Environmental Sciences, University of Exeter, National Institute of Water & Atmospheric Research, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), ARVE, Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD), Food and Agriculture Organization of the United Nations, Met Office Hadley Centre (MOHC), Biogeochemical Systems Department [Jena], Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Isotope Research, Earth Sciences, and Amsterdam Sustainability Institute
Subjects: Meteorologie en Luchtkwaliteit, ENVIRONMENT SIMULATOR JULES, 010504 meteorology & atmospheric sciences, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, chemistry.chemical_compound, SDG 13 - Climate Action, Land use, land-use change and forestry, Computer science, information & general works, DIOXIDE EMISSIONS, ComputingMilieux_MISCELLANEOUS, SURFACE-OCEAN, lcsh:Environmental sciences, ddc:910, lcsh:GE1-350, EARTH SYSTEM MODEL, FOSSIL-FUEL, lcsh:QE1-996.5, Biosphere, Carbon dioxide, Meteorology and Air Quality, 530 Physics, [SDE.MCG]Environmental Sciences/Global Changes, Earth and Planetary Sciences(all), chemistry.chemical_element, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], Carbon cycle, ANTHROPOGENIC CO2 UPTAKE, Deforestation, Life Science, SDG 14 - Life Below Water, ATMOSPHERIC CO2, 0105 earth and related environmental sciences, LAND-COVER CHANGE, WIMEK, Land use, business.industry, Fossil fuel, LEAF-AREA INDEX, 15. Life on land, lcsh:Geology, OCEAN BIOGEOCHEMICAL MODEL, TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, chemistry, 13. Climate action, ddc:000, General Earth and Planetary Sciences, Environmental science, business, Carbon
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) 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) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. 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 last decade available (2009–2018), EFF was 9.5±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.9±0.02 GtC yr−1 (2.3±0.01 ppm yr−1), SOCEAN 2.5±0.6 GtC yr−1, and SLAND 3.2±0.6 GtC yr−1, with a budget imbalance BIM of 0.4 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2018 alone, the growth in EFF was about 2.1 % and fossil emissions increased to 10.0±0.5 GtC yr−1, reaching 10 GtC yr−1 for the first time in history, ELUC was 1.5±0.7 GtC yr−1, for total anthropogenic CO2 emissions of 11.5±0.9 GtC yr−1 (42.5±3.3 GtCO2). Also for 2018, GATM was 5.1±0.2 GtC yr−1 (2.4±0.1 ppm yr−1), SOCEAN was 2.6±0.6 GtC yr−1, and SLAND was 3.5±0.7 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 407.38±0.1 ppm averaged over 2018. For 2019, preliminary data for the first 6–10 months indicate a reduced growth in EFF of +0.6 % (range of −0.2 % to 1.5 %) based on national emissions projections for China, the USA, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. Overall, the mean and trend in the five components of the global carbon budget are consistently estimated over the period 1959–2018, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations shows (1) no consensus in the mean and trend in land use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models outside the tropics. 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 (Le Quéré et al., 2018a, b, 2016, 2015a, b, 2014, 2013). The data generated by this work are available at https://doi.org/10.18160/gcp-2019 (Friedlingstein et al., 2019).
Published: 2019

6. Fundamentals of data assimilation applied to biogeochemistry

Author: Frédéric Chevallier, Anna M. Michalak, Peter Rayner, School of Earth Sciences [Melbourne], Faculty of Science [Melbourne], University of Melbourne-University of Melbourne, Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, 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), Carnegie Institution for Science [Washington], 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: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, 010504 meteorology & atmospheric sciences, business.industry, Bayesian probability, Biogeochemistry, 010501 environmental sciences, Machine learning, computer.software_genre, Notation, 01 natural sciences, lcsh:QC1-999, lcsh:Chemistry, Formalism (philosophy of mathematics), Data assimilation, lcsh:QD1-999, Probability distribution, Ensemble Kalman filter, Artificial intelligence, business, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, computer, lcsh:Physics, 0105 earth and related environmental sciences
Abstract: This article lays out the fundamentals of data assimilation as used in biogeochemistry. It demonstrates that all of the methods in widespread use within the field are special cases of the underlying Bayesian formalism. Methods differ in the assumptions they make and information they provide on the probability distributions used in Bayesian calculations. It thus provides a basis for comparison and choice among these methods. It also provides a standardised notation for the various quantities used in the field.
Published: 2019

7. Air temperature optima of vegetation productivity across global biomes

Author: Philippe Ciais, Xuhui Wang, Yiqi Luo, Ranga B. Myneni, Mengtian Huang, Hans Verbeeck, Mengdi Gao, Alessandro Cescatti, Joseph A. Berry, Trevor F. Keenan, Yongwen Liu, Shuli Niu, Ivan A. Janssens, Shushi Peng, Yue He, Tao Wang, Wenping Yuan, Xiaoying Shi, Matthias Cuntz, Jin Wu, Jiafu Mao, Kai Wang, Shilong Piao, Josep Peñuelas, Ramdane Alkama, Hannes De Deurwaerder, SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Strategic Priority Research Program (A) of the Chinese Academy of Sciences XDA20050101National Natural Science Foundation of China (NSFC)41530528National Key RAMP, D Program of China 2017YFA0604702United States Department of Energy (DOE)DE-FG02-04ER63917DE-FG02-04ER63911CFCAS Natural Sciences and Engineering Research Council of Canada BIOCAP CGIAR Natural Resources Canada European Union (EU) FAO-GTOS-CO iLEAPS Max Planck Institute for Biogeochemistry National Science Foundation (NSF) University of Tuscia Universite Laval United States Department of Energy (DOE) European Research Council (ERC)ERC-SyG-2013-610028 IMBALANCE-PFrench National Research Agency (ANR) Flemish Community through the Research Council of the University of Antwerp NASA Terrestrial Ecology Program IDS Award NNH17AE86ITerrestrial Ecosystem Science Scientific Focus Area project through the Terrestrial Ecosystem Science Program in the Climate and Environmental Sciences Division of the Biological and Environmental Research Program in the US Department of Energy Office of S United States Department of Energy (DOE)DE-AC05-00OR22725French National Research Agency (ANR)ANR-11-LABX-0002-01, Peking University [Beijing], Chinese Academy of Sciences, 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), Centre for Research on Ecology and Forestry Applications, Consejo Superior de Investigaciones Científicas, University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, Oak Ridge National Laboratory, Joint Research Centre (JRC), European Commission, Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Lorraine (UL), Universiteit Gent = Ghent University (UGENT), Northern Arizona University [Flagstaff], Boston University [Boston] (BU), Sun Yat-Sen University [Guangzhou] (SYSU), Brookhaven National Laboratory [Upton, NY] (BNL), UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE), University of Hong Kong, University of Antwerp (UA), D Program of China 2017YFA0604702United States Department of Energy (DOE)DE-FG02-04ER63917DE-FG02-04ER63911CFCAS Natural Sciences and Engineering Research Council of Canada BIOCAP CGIAR Natural Resources Canada FAO-GTOS-CO iLEAPS Max Planck Institute for Biogeochemistry National Science Foundation (NSF) University of Tuscia Universite Laval Flemish Community through the Research Council of the University of Antwerp NASA Terrestrial Ecology Program IDS Award NNH17AE86ITerrestrial Ecosystem Science Scientific Focus Area project through the Terrestrial Ecosystem Science Program in the Climate and Environmental Sciences Division of the Biological and Environmental Research Program in the US Department of Energy Office of S United States Department of Energy (DOE) DE-AC05-00OR22725, ANR-11-LABX-0002,ARBRE,Recherches Avancées sur l'Arbre et les Ecosytèmes Forestiers(2011), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), Peking University, 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 California [Berkeley], University of California, Carnegie Institution for Science [Washington], Ghent University, U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), 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), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Department of Global Ecology [Carnegie Institution], Sun Yat-Sen University (SYSU), and Brookhaven National Laboratory
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Ecosystem ecology, Climate, [SDV]Life Sciences [q-bio], Biome, Eddy covariance, Climate change, Forests, Atmospheric sciences, 01 natural sciences, Article, Carbon Cycle, primary productivity, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, parasitic diseases, Quantitative Biology::Populations and Evolution, Ecosystem, Leaf area index, Biology, Physics::Atmospheric and Oceanic Physics, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Ecology, Climate-change ecology, Temperature, Vegetation, 15. Life on land, Photosynthetic capacity, productivité primaire, Chemistry, température de l'air, 13. Climate action, Photosynthetic acclimation, [SDE]Environmental Sciences, Environmental science, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology, 010606 plant biology & botany
Abstract: U nderstanding how photosynthesis responds to warming has been a focus in plant research in recent decades, and most of the existing knowledge comes from leaf-scale measurements 1-4. Most leaf-scale temperature response curves show that photosyn-thetic capacity increases with temperature up to an optimum temperature (T opt leaf), which typically occurs in the 30-40 °C temperature range 5,6. Above this optimum temperature, foliar photosynthetic capacity sharply declines as electron-transport and Rubisco enzy-matic capacities become impaired 7. Field et al. 8 suggested that ecosystem-scale optimum temperature T opt eco may differ from T opt leaf. At the ecosystem scale, elevated air temperatures do limit canopy photosynthesis by processes other than leaf carboxylation rates. For instance, elevated air temperatures may accelerate leaf ageing and increase leaf thickness (phenology; for example, ref. 9) and control stomatal closure because a higher temperature usually comes with a higher vapour pressure deficit (VPD) 10. In a more extreme case, warming-induced water stress could suppress canopy photosyn-thesis through partial hydraulic failure (hydraulics) by cavitation (for example, ref. 11). Empirical leaf-scale photosynthesis-temperature relationships 12 have been directly incorporated into global ecosystem models, with variants to account for acclimation, that is, a temporal adjustment of optimum photosynthetic temperature to air temperature during growth 5,13,14. This direct scaling of temperature responses from leaves to ecosystems partly determines model projections of gross primary productivity (GPP) and CO 2 uptake by terrestrial ecosystems in climatic scenarios. Verifying the existence of T opt eco in real-world ecosystems, defining its spatial distribution across and within biomes, and understanding the relationships between T opt eco , prevailing air temperature and T opt leaf are important for evaluating models and understanding the impacts of various climatic warming targets on ecosystem productivity. In this study, we formulate and test the following hypotheses: (1) T opt eco is higher for biomes when air temperature during growth is warmer, (2) T opt eco is lower than T opt leaf for any given ecosystem because the limitations mentioned earlier of stomatal conductance and phenology emerge before temperature begins to impair foliar pho-tosynthetic capacity, and (3) tropical forests already operate near a high T opt eco , above which canopy photosynthesis may decrease with even moderate air temperature warming 15,16. Here, we defined T opt eco as the daytime air temperature at which GPP is highest over a period of several years, and thus T opt eco can be empirically determined from productivity observations and proxies (see Methods). Results and discussion We first applied this approach on time series of daily GPP derived from CO 2 flux measurements at 153 globally distributed eddy cova-riance sites and found that a robust estimate of T opt eco could be derived The global distribution of the optimum air temperature for ecosystem-level gross primary productivity (T opt eco) is poorly understood , despite its importance for ecosystem carbon uptake under future warming. We provide empirical evidence for the existence of such an optimum, using measurements of in situ eddy covariance and satellite-derived proxies, and report its global distribution. T opt eco is consistently lower than the physiological optimum temperature of leaf-level photosynthetic capacity, which typically exceeds 30 °C. The global average T opt eco is estimated to be 23 ± 6 °C, with warmer regions having higher T opt eco values than colder regions. In tropical forests in particular, T opt eco is close to growing-season air temperature and is projected to fall below it under all scenarios of future climate, suggesting a limited safe operating space for these ecosystems under future warming.
Published: 2019

8. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches

Author: Bastos, Ana, Friedlingstein, Pierre, Sitch, Stephen, Chen, Chi, Mialon, Arnaud, Wigneron, Jean-Pierre, Arora, Vivek, Briggs, Peter, Canadell, Josep, Ciais, Philippe, Chevallier, Frédéric, Cheng, Lei, Delire, Christine, Haverd, Vanessa, Jain, Atul, Joos, Fortunat, Kato, Etsushi, Lienert, Sebastian, Lombardozzi, Danica, Melton, Joe, Myneni, Ranga, Nabel, Julia, Pongratz, Julia, Poulter, Benjamin, Rödenbeck, Christian, Séférian, Roland, Tian, Hanqin, van Eck, Christel, Viovy, Nicolas, Vuichard, Nicolas, Walker, Anthony, Wiltshire, Andy, Yang, Jia, Zaehle, Sönke, Zeng, Ning, Zhu, Dan, 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), College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, College of Life and Environmental Sciences, University of Exeter, National University of Defense Technology [China], Centre d'Applications et de Recherches en TELédétection (CARTEL), Université de Sherbrooke [Sherbrooke], Interactions Sol Plante Atmosphère (ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), University College Dublin [Dublin] (UCD), Centre national de recherches météorologiques (CNRM), Météo France-Centre National de la Recherche Scientifique (CNRS), Commonwealth Scientific and Industrial Research Organisation (CSIRO), Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], The Institute of Applied Energy (IAE), National Center for Atmospheric Research [Boulder] (NCAR), Department of Earth and Environment, Department of Global Ecology [Carnegie Institution], Carnegie Institution for Science [Washington], Montana State University (MSU), Max-Planck-Institut, 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), Shandong Agricultural University (SDAU), Met Office Hadley Centre (MOHC), United Kingdom Met Office [Exeter], Biogeochemical Systems Department [Jena], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, 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), 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 d'Applications et de Recherches en TELédétection [Sherbrooke] (CARTEL), Département de géomatique appliquée [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Interactions Sol Plante Atmosphère (UMR ISPA), 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Department of Earth and Environment [Boston], Boston University [Boston] (BU), Department of Global Ecology [Carnegie] (DGE), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Met Office Hadley Centre for Climate Change (MOHC), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), EC H2020 project CRESCENDO 641816, European Research Council (ERC) under European Union's Horizon 2020 research and innovation programme (QUINCY) 647204, European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), 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), 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), Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Carnegie Institution for Science, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)
Subjects: cycle du carbone, Carbon Sequestration, dessèchement, 530 Physics, atmospheric inversions, Medical and Health Sciences, Theoretical, El Nino/Southern Oscillation, Models, zone tropicale, phénomène climatique, carbon cycle, réchauffement climatique, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Ecosystem, ComputingMilieux_MISCELLANEOUS, El Nino-Southern Oscillation, Evolutionary Biology, climat, Atmospheric inversions, Atmosphere, adaptation au stress, Articles, Carbon cycle, Biological Sciences, Models, Theoretical, Sciences bio-médicales et agricoles, évolution spatiotemporelle, Land-surface models, land-surface models, El Niño/Southern Oscillation, carbone du sol, Biologie, Research Article
Abstract: Evaluating the response of the land carbon sink to the anomalies in temperature and drought imposed by El Niño events provides insights into the present-day carbon cycle and its climate-driven variability. It is also a necessary step to build confidence in terrestrial ecosystems models’ response to the warming and drying stresses expected in the future over many continents, and particularly in the tropics. Here we present an in-depth analysis of the response of the terrestrial carbon cycle to the 2015/2016 El Niño that imposed extreme warming and dry conditions in the tropics and other sensitive regions. First, we provide a synthesis of the spatio-temporal evolution of anomalies in net land–atmosphere CO2 fluxes estimated by two in situ measurements based on atmospheric inversions and 16 land-surface models (LSMs) from TRENDYv6. Simulated changes in ecosystem productivity, decomposition rates and fire emissions are also investigated. Inversions and LSMs generally agree on the decrease and subsequent recovery of the land sink in response to the onset, peak and demise of El Niño conditions and point to the decreased strength of the land carbon sink: by 0.4–0.7 PgC yr21 (inversions) and by 1.0 PgC yr21 (LSMs) during 2015/2016. LSM simulations indicate that a decrease in productivity, rather than increase in respiration, dominated the net biome productivity anomalies in response to ENSO throughout the tropics, mainly associated with prolonged drought conditions. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications’., SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2018

9. Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites

Author: Simone Fatichi, Nicolas Viovy, Yiqi Luo, Yongwen Liu, Ying-Ping Wang, Yue He, Almut Arneth, Julia Pongratz, Donghai Wu, Julia Nabel, Daniel M. Ricciuto, Stephen Sitch, Sebastian Sippel, Qiuan Zhu, Akihiko Ito, Philippe Ciais, Johannes Ingrisch, Hélène Genet, Michael Schmitt, Alan K. Knapp, Athanasios Paschalis, Changhui Peng, Anna B. Harper, David Reinthaler, Shilong Piao, Kevin R. Wilcox, Xiaoying Shi, Lena Boysen, Anna M. Ukkola, Hanqin Tian, Sara Vicca, Michael Bahn, Jiafu Mao, Markus Kautz, Guangsheng Chen, Benjamin Poulter, Jakob Zscheischler, Melinda D. Smith, Roland Hasibeder, Patrick Meir, Xiangyi Li, Shree R. S. Dangal, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University [Beijing], 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), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Colorado State University [Fort Collins] (CSU), University of Oklahoma (OU), Institute of Ecology, Technische Universität Berlin (TU), Department of Biology, Centre of Excellence PLECO (Plant and Vegetation Ecology), University of Antwerp (UA), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, University of California [San Francisco] (UCSF), University of California, National Institute for Environmental Studies (NIES), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Université du Québec à Trois-Rivières (UQTR), Environmental Sciences Division [Oak Ridge], Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC-UT-Battelle, LLC, Northeast Forestry University, Shandong Agricultural University (SDAU), Institute of Arctic Biology, University of Alaska [Anchorage], Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM), Max Planck Institute for Meteorology (MPI-M), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Karlsruhe Institute of Technology (KIT), University of Innsbruck, Research School of Biology [Canberra, Australia], Australian National University (ANU), Northwest A and F University, Institute for Atmospheric and Climate Science [Zürich] (IAC), Auburn University (AU), Exeter Climate Systems, University of Exeter, Exeter, United Kingdom, Climate Change Science Institute [Oak Ridge] (CCSI), CSIRO Marine and Atmospheric Research [Aspendale], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Department of Microbiology and Plant Biology, Environnement de Réseaux Autonomes (ERA), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-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)-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), Technical University of Berlin / Technische Universität Berlin (TU), University of California [San Francisco] (UC San Francisco), University of California (UC), Northeast Forestry University (NEFU), University of Alaska [Fairbanks] (UAF), Carnegie Institution for Science, Leopold Franzens Universität Innsbruck - University of Innsbruck, and University of Exeter
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Steppe, Geography & travel, 04 Earth Sciences, 05 Environmental Sciences, lcsh:Life, Atmospheric sciences, 010502 geochemistry & geophysics, 010603 evolutionary biology, 01 natural sciences, Grassland, lcsh:QH540-549.5, Meteorology & Atmospheric Sciences, Ecosystem, Precipitation, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Biology, Ecology, Evolution, Behavior and Systematics, Primary productivity, Earth-Surface Processes, 0105 earth and related environmental sciences, ddc:910, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, geography, geography.geographical_feature_category, Physics, Simulation modeling, lcsh:QE1-996.5, Primary production, 06 Biological Sciences, 15. Life on land, lcsh:Geology, lcsh:QH501-531, Chemistry, Productivity (ecology), 13. Climate action, Environmental science, lcsh:Ecology
Abstract: Field measurements of aboveground net primary productivity (ANPP) in temperate grasslands suggest that both positive and negative asymmetric responses to changes in precipitation (P) may occur. Under normal range of precipitation variability, wet years typically result in ANPP gains being larger than ANPP declines in dry years (positive asymmetry), whereas increases in ANPP are lower in magnitude in extreme wet years compared to reductions during extreme drought (negative asymmetry). Whether the current generation of ecosystem models with a coupled carbon–water system in grasslands are capable of simulating these asymmetric ANPP responses is an unresolved question. In this study, we evaluated the simulated responses of temperate grassland primary productivity to scenarios of altered precipitation with 14 ecosystem models at three sites: Shortgrass steppe (SGS), Konza Prairie (KNZ) and Stubai Valley meadow (STU), spanning a rainfall gradient from dry to moist. We found that (1) the spatial slopes derived from modeled primary productivity and precipitation across sites were steeper than the temporal slopes obtained from inter-annual variations, which was consistent with empirical data; (2) the asymmetry of the responses of modeled primary productivity under normal inter-annual precipitation variability differed among models, and the mean of the model ensemble suggested a negative asymmetry across the three sites, which was contrary to empirical evidence based on filed observations; (3) the mean sensitivity of modeled productivity to rainfall suggested greater negative response with reduced precipitation than positive response to an increased precipitation under extreme conditions at the three sites; and (4) gross primary productivity (GPP), net primary productivity (NPP), aboveground NPP (ANPP) and belowground NPP (BNPP) all showed concave-down nonlinear responses to altered precipitation in all the models, but with different curvatures and mean values. Our results indicated that most models overestimate the negative drought effects and/or underestimate the positive effects of increased precipitation on primary productivity under normal climate conditions, highlighting the need for improving eco-hydrological processes in those models in the future.
Published: 2018

10. Summertime upper tropospheric nitrous oxide over the Mediterranean as a footprint of Asian emissions

Author: Kangah, Yannick, Ricaud, Philippe, Attié, Jean-Luc, Saitoh, Naoko, Hauglustaine, Didier, Wang, Rong, El Amraoui, Laaziz, Zbinden, Régina, Delon, Claire, 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), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-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)-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), Center for Environmental Remote Sensing [Chiba] (CEReS), Chiba 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), 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), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (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, 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), Carnegie Institution for Science [Washington], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), and 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)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract: International audience; The aim of this paper is to study the transport of nitrous oxide (N$_2$O) from the Asian surface tothe eastern Mediterranean Basin (MB). We used measurements from the spectrometer Thermal and Nearinfrared Sensor for carbon Observation Fourier transform spectrometer on board the Greenhouse gasesObserving SATellite (GOSAT) over the period of 2010–2013. We also used the outputs from the chemicaltransport model LMDz-OR-INCA over the same period. By comparing GOSAT upper tropospheric retrievals toaircraft measurements from the High-performance Instrumented Airborne Platform for EnvironmentalResearch Pole-to-Pole Observations, we calculated a GOSAT High-performance Instrumented AirbornePlatform for Environmental Research standard deviation (SD error) of ~2.0 ppbv for a single pixel and a meanbias of approximately $-$1.3 ppbv (approximately $-$0.4%). This SD error is reduced to ~0.1 ppbv when weaverage the pixels regionally and monthly over the MB. The use of nitrogen fertilizer coupled with high soilhumidity during the summer Asian monsoon produces high N2O emissions, which are transported fromAsian surfaces to the eastern MB. This summertime enrichment over the eastern MB produces a maximum inthe difference between the eastern and the western MB upper tropospheric N$_2$O (east-west difference) in Julyin both the measurements and the model. N2O over the eastern MB can therefore be considered as afootprint of Asian summertime emissions. However, the peak-to-peak amplitude of the east-west differenceobserved by GOSAT (~1.4 ± 0.3 ppbv) is larger than that calculated by LMDz-OR-INCA (~0.8 ppbv). This is dueto an underestimation of N2O emissions in the model and to a relatively coarse spatial resolution of themodel that tends to underestimate the N2O accumulation into the Asian monsoon anticyclone.
Published: 2017

11. Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed

Author: Benjamin Poulter, Anita D. Bayer, Nicolas Viovy, Leonardo Calle, Almut Arneth, Benjamin D. Stocker, Thomas Gasser, Wenyu Li, Chao Yue, Julia E. M. S. Nabel, Pierre Friedlingstein, Eddy Robertson, Mats Lindeskog, Etsushi Kato, Alberte Bondeau, Stephen Sitch, Marianela Fader, Louise Chini, Julia Pongratz, Thomas A. M. Pugh, Philippe Ciais, Sönke Zaehle, Karlsruhe Institute of Technology (KIT), College of Life and Environmental Sciences [Exeter], University of Exeter, Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Imperial College London, 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), Montana State University (MSU), Karlsruher Institut für Technologie (KIT), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), NASA Goddard Space Flight Center (GSFC), Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Institute of Applied Energy (IAE), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Lancaster Environment Centre, Lancaster University, Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Max-Planck-Institut für Biogeochemie (MPI-BGC), Carnegie Institution for Science, 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 Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU)
Subjects: geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Land management, Climate change, Carbon sink, Soil science, 010501 environmental sciences, 15. Life on land, Carbon sequestration, Atmospheric sciences, Dynamic global vegetation model, 01 natural sciences, Sink (geography), Carbon cycle, 13. Climate action, [SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry, [SDE]Environmental Sciences, General Earth and Planetary Sciences, Environmental science, Terrestrial ecosystem, 0105 earth and related environmental sciences
Abstract: The terrestrial biosphere absorbs about 20% of fossil-fuel CO2 emissions. The overall magnitude of this sink is constrained bythe difference between emissions, the rate of increase in atmospheric CO2 concentrations, and the ocean sink. However, theland sink is actually composed of two largely counteracting fluxes that are poorly quantified: fluxes from land-use change andCO2 uptake by terrestrial ecosystems. Dynamic global vegetation model simulations suggest that CO2 emissions from land-usechange have been substantially underestimated because processes such as tree harvesting and land clearing from shifting cultivationhave not been considered. As the overall terrestrial sink is constrained, a larger net flux as a result of land-use changeimplies that terrestrial uptake of CO2 is also larger, and that terrestrial ecosystems might have greater potential to sequestercarbon in the future. Consequently, reforestation projects and efforts to avoid further deforestation could represent importantmitigation pathways, with co-benefits for biodiversity. It is unclear whether a larger land carbon sink can be reconciled with ourcurrent understanding of terrestrial carbon cycling. Our possible underestimation of the historical residual terrestrial carbonsink adds further uncertainty to our capacity to predict the future of terrestrial carbon uptake and losses
Published: 2017
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12. The PMIP4 contribution to CMIP6 – Part 3: The last millennium,scientific objective, and experimental design for the PMIP4 past1000 simulations

Author: Jungclaus, J, Bard, E, Baroni, M, Braconnot, P, Cao, J, Chini, LP, Egorova, T, Evans, M, González-Rouco, JF, Goosse, H, Hurtt, GC, Joos, F, Kaplan, JO, Khodri, M, Goldewijk, KK, Krivova, N, LeGrande, AN, Lorenz, SJ, Luterbacher, J, Man, W, Maycock, AC, Meinshausen, M, Moberg, A, Muscheler, R, Nehrbass-Ahles, C, Otto-Bliesner, BI, Phipps, SJ, Pongratz, J, Rozanov, E, Schmidt, GA, Schmidt, H, Schmutz, W, Schurer, A, Shapiro, AI, Sigl, M, Smerdon, JE, Solanki, SK, Timmreck, C, Toohey, M, Usoskin, IG, Wagner, S, Wu, C-J, Yeo, KL, Zanchettin, D, Zhang, Q, Zorita, E, UCL - SST/ELI/ELIC - Earth & Climate, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Collège de France - Chaire Evolution du climat et de l'océan, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-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)-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), Department of Computer Science and Engineering [Shanghai] (CSE), Shanghai Jiao Tong University [Shanghai], Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), University of Maryland System, Instituto de Geociencias [Madrid] (IGEO), Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Catholique de Louvain = Catholic University of Louvain (UCL), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Université de Lausanne = University of Lausanne (UNIL), 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), PBL Netherlands Environmental Assessment Agency, Max-Planck-Institut für Sonnensystemforschung = Max Planck Institute for Solar System Research (MPS), NASA Goddard Space Flight Center (GSFC), Department of Geography, Justus-Liebig- University, Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics [Beijing] (IAP), Chinese Academy of Sciences [Beijing] (CAS)-Chinese Academy of Sciences [Beijing] (CAS), University of Leeds, Potsdam Institute for Climate Impact Research (PIK), Bolin Centre for Climate Research, Stockholm University, Department of Geology [Lund], Lund University [Lund], National Center for Atmospheric Research [Boulder] (NCAR), University of New South Wales [Sydney] (UNSW), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, NASA Goddard Institute for Space Studies (GISS), Max Planck Institute for Meteorology (MPI-M), Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC), School of Geosciences [Edinburgh], University of Edinburgh, School of Industrial and Systems Engineering [Georgia Tech] (ISyE), Georgia Institute of Technology [Atlanta], Laboratory of Radio- and Environmental Chemistry [Villigen], Paul Scherrer Institute (PSI), Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Leibniz-Institut für Meereswissenschaften (IFM-GEOMAR), University of Oulu, Eurecom [Sophia Antipolis], Department of Environmental Sciences, Informatics and Statistics [Venezia], University of Ca’ Foscari [Venice, Italy], Department of Physical Geography [Stockholm], Helmholtz-Zentrum Geesthacht (GKSS), European Project: 603557,EC:FP7:ENV,FP7-ENV-2013-two-stage,STRATOCLIM(2013), Chaire Evolution du climat et de l'océan, 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), Universität Bern [Bern]-Universität Bern [Bern], Université de Lausanne (UNIL), 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), 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)), Max-Planck-Institut für Sonnensystemforschung (MPS), Justus-Liebig-Universität Gießen (JLU), Carnegie Institution for Science [Washington], Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), 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), Universidad Complutense de Madrid [Madrid] (UCM)-Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Université Catholique de Louvain (UCL), 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 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), Department of Global Ecology [Carnegie Institution], Consejo Superior de Investigaciones Científicas [Spain] (CSIC)-Universidad Complutense de Madrid [Madrid] (UCM), Environmental Sciences, Sub Gen. Pharmacoepi and Clinical Pharm, and SGPL Stadsgeografie
Subjects: Paleoclimate, 530 Physics, Natural forcing, Settore GEO/12 - Oceanografia e Fisica dell'Atmosfera, 610 Medicine & health, natural forcing, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, last millennium, 550 Earth sciences & geology, Climate and Earth system modelling, CMIP6, PMIP, Last millennium, CISM [CECI], MIP6, PMIP4
Abstract: The pre-industrial millennium is among the periods selected by the Paleoclimate Model Intercomparison Project (PMIP) for experiments contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and the fourth phase of the PMIP (PMIP4). The past1000 transient simulations serve to investigate the response to (mainly) natural forcing under background conditions not too different from today, and to discriminate between forced and internally generated variability on interannual to centennial timescales. This paper describes the motivation and the experimental set-ups for the PMIP4-CMIP6 past1000 simulations, and discusses the forcing agents orbital, solar, volcanic, and land use/land cover changes, and variations in greenhouse gas concentrations. The past1000 simulations covering the pre-industrial millennium from 850 Common Era (CE) to 1849 CE have to be complemented by historical simulations (1850 to 2014 CE) following the CMIP6 protocol. The external forcings for the past1000 experiments have been adapted to provide a seamless transition across these time periods. Protocols for the past1000 simulations have been divided into three tiers. A default forcing data set has been defined for the Tier 1 (the CMIP6 past1000) experiment. However, the PMIP community has maintained the flexibility to conduct coordinated sensitivity experiments to explore uncertainty in forcing reconstructions as well as parameter uncertainty in dedicated Tier 2 simulations. Additional experiments (Tier 3) are defined to foster collaborative model experiments focusing on the early instrumental period and to extend the temporal range and the scope of the simulations. This paper outlines current and future research foci and common analyses for collaborative work between the PMIP and the observational communities (reconstructions, instrumental data)., Geoscientific Model Development, 10 (11), ISSN:1991-9603, ISSN:1991-959X
Published: 2017

13. Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data

Author: Jean-Baptiste Féret, Matthew S. Colgan, Claire A. Baldeck, Gregory P. Asner, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: 010504 meteorology & atmospheric sciences, crown segmentation, species mapping, SVM, Science, 0211 other engineering and technologies, Biodiversity, 02 engineering and technology, Spatial distribution, 01 natural sciences, South Africa, Ecosystem, Carnegie Airborne Observatory, CAO, Kruger National Park, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, Pixel, Hyperspectral imaging, 15. Life on land, Support vector machine, Lidar, General Earth and Planetary Sciences, Environmental science, Bidirectional reflectance distribution function, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: Mapping the spatial distribution of plant species in savannas provides insight into the roles of competition, fire, herbivory, soils and climate in maintaining the biodiversity of these ecosystems. This study focuses on the challenges facing large-scale species mapping using a fusion of Light Detection and Ranging (LiDAR) and hyperspectral imagery. Here we build upon previous work on airborne species detection by using a two-stage support vector machine (SVM) classifier to first predict species from hyperspectral data at the pixel scale. Tree crowns are segmented from the lidar imagery such that crown-level information, such as maximum tree height, can then be combined with the pixel-level species probabilities to predict the species of each tree. An overall prediction accuracy of 76% was achieved for 15 species. We also show that bidirectional reflectance distribution (BRDF) effects caused by anisotropic scattering properties of savanna vegetation can result in flight line artifacts evident in species probability maps, yet these can be largely mitigated by applying a semi-empirical BRDF model to the hyperspectral data. We find that confronting these three challenges—reflectance anisotropy, integration of pixel- and crown-level data, and crown delineation over large areas—enables species mapping at ecosystem scales for monitoring biodiversity and ecosystem function.
Published: 2012

14. Re-evaluating the 1940s CO2 plateau

Author: Bastos, Ana, Ciais, Philippe, Barichivich, Jonathan, Bopp, Laurent, Brovkin, Victor, Gasser, Thomas, Peng, Shushi, Pongratz, Julia, Viovy, Nicolas, Trudinger, Cathy M., Instituto de Geociências, Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA) - Grenoble, 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), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Centre International de Recherche sur l'Environnement et le Développement (CIRED), 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), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), 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), Department of Global Ecology [Carnegie Institution], Carnegie Institution for Science [Washington], Centre for Australian Weather and Climate Research/ CSIRO Marine and Atmospheric Research, 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), 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), Department of Global Ecology [Carnegie] (DGE), 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)-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: lcsh:Geology, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, lcsh:QH501-531, lcsh:QH540-549.5, lcsh:QE1-996.5, lcsh:Life, lcsh:Ecology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; The high-resolution CO 2 record from Law Dome ice core reveals that atmospheric CO 2 concentration stalled during the 1940s (so-called CO 2 plateau). Since the fossil-fuel emissions did not decrease during the period, this stalling implies the persistence of a strong sink, perhaps sustained for as long as a decade or more. Double-deconvolution analyses have attributed this sink to the ocean, conceivably as a response to the very strong El Niño event in 1940-1942. However, this explanation is questionable, as recent ocean CO 2 data indicate that the range of variability in the ocean sink has been rather modest in recent decades, and El Niño events have generally led to higher growth rates of atmospheric CO 2 due to the offsetting terrestrial response. Here, we use the most up-to-date information on the different terms of the carbon budget: fossil-fuel emissions, four estimates of land-use change (LUC) emissions, ocean uptake from two different reconstructions, and the terrestrial sink modelled by the TRENDY project to identify the most likely causes of the 1940s plateau. We find that they greatly overestimate atmospheric CO 2 growth rate during the plateau period , as well as in the 1960s, in spite of giving a plausible explanation for most of the 20th century carbon budget, especially from 1970 onwards. The mismatch between reconstructions and observations during the CO 2 plateau epoch of 1940-1950 ranges between 0.9 and 2.0 Pg C yr −1 , depending on the LUC dataset considered. This mismatch may be explained by (i) decadal variability in the ocean carbon sink not accounted for in the reconstructions we used, (ii) a further terrestrial sink currently missing in the estimates by land-surface models, or (iii) LUC processes not included in the current datasets. Ocean carbon models from CMIP5 indicate that natural variability in the ocean carbon sink could explain an additional 0.5 Pg C yr −1 uptake, but it is unlikely to be higher. The impact of the 1940-1942 El Niño on the observed stabilization of atmospheric CO 2 cannot be confirmed nor discarded, as TRENDY models do not reproduce the expected concurrent strong decrease in terrestrial uptake. Nevertheless, this would further increase the mis-match between observed and modelled CO 2 growth rate during the CO 2 plateau epoch. Tests performed using the OS-CAR (v2.2) model indicate that changes in land use not correctly accounted for during the period (coinciding with drastic socioeconomic changes during the Second World War) could contribute to the additional sink required. Thus, the previously proposed ocean hypothesis for the 1940s plateau cannot be confirmed by independent data. Further efforts are required to reduce uncertainty in the different terms of the carbon budget during the first half of the 20th century and to better understand the long-term variability of the ocean and terrestrial CO 2 sinks. Published by Copernicus Publications on behalf of the European Geosciences Union. 4878 A. Bastos et al.: Re-evaluating the 1940s CO 2 plateau Figure 1. Atmospheric CO 2 concentration in the Law Dome ice core and firn record from Rubino et al. (2013) and respective uncertainties (markers and whiskers) as well as the spline fit applied to the data following Enting et al. (2006), which attenuates by 50 % variations of ca. 23 years. The period corresponding to the plateau is highlighted between vertical grey lines. The blue markers correspond to samples from Law Dome and red markers from South Pole; different symbols indicate the different ice cores (big markers) and firn samples (dots).
Published: 2016

15. Climate forcing reconstructions for use in PMIP simulations of the last millennium (v1.0)

Author: Natalie A. Krivova, Caspar M. Ammann, Edouard Bard, Raimund Muscheler, Thomas J. Crowley, F. Steinhilber, G. Delaygue, Drew Shindell, Johann H. Jungclaus, Luis Eduardo Antunes Vieira, Pascale Braconnot, Julia Pongratz, Sami K. Solanki, Fortunat Joos, Gavin A. Schmidt, Bette L. Otto-Bliesner, Center for Climate Systems Research [New York] (CCSR), Columbia University [New York], NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, National Center for Atmospheric Research [Boulder] (NCAR), Collège de France - Chaire Evolution du climat et de l'océan, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-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)-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), School of Geosciences [Edinburgh], University of Edinburgh, CLIPS, 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 polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Oeschger Centre for Climate Change Research (OCCR), University of Bern, Max Planck Institute for Chemistry (MPIC), Department of Earth and Ecosystem Sciences [Lund], Lund University [Lund], Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, School of Space Research, Kyung Hee University (KHU), Max-Planck-Institut für Sonnensystemforschung = Max Planck Institute for Solar System Research (MPS), Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), 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), 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)-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), Universität Bern [Bern]-Universität Bern [Bern], Department of Global Ecology [Carnegie Institution], Carnegie Institution for Science [Washington], Max-Planck-Institut für Sonnensystemforschung (MPS), Laboratoire de Physique et Chimie de l'Environnement et de l'Espace, Université d'Orléans (UO), Chaire Evolution du climat et de l'océan, 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), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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 national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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)
Subjects: Cycles 21-23, Maunder Minimum, 010504 meteorology & atmospheric sciences, 0207 environmental engineering, Earth and Planetary Sciences(all), Climate change, 02 engineering and technology, Forcing (mathematics), Land cover, 01 natural sciences, Modelling and Simulation, 0103 physical sciences, Paleoclimatology, Atmospheric Co2, Trend, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, Variability, Magnetic-Field, 020701 environmental engineering, Greenhouse effect, 010303 astronomy & astrophysics, Be-10, 0105 earth and related environmental sciences, Total Solar Irradiance, lcsh:QE1-996.5, Radiative forcing, Index, lcsh:Geology, Ice Core, 13. Climate action, Climatology, Paleoclimate Modelling Intercomparison Project, Environmental science, Climate model
Abstract: Simulations of climate over the Last Millennium (850–1850 CE) have been incorporated into the third phase of the Paleoclimate Modelling Intercomparison Project (PMIP3). The drivers of climate over this period are chiefly orbital, solar, volcanic, changes in land use/land cover and some variation in greenhouse gas levels. While some of these effects can be easily defined, the reconstructions of solar, volcanic and land use-related forcing are more uncertain. We describe here the approach taken in defining the scenarios used in PMIP3, document the forcing reconstructions and discuss likely implications.
Published: 2011

16. Global Carbon Budget 2018

Author: C. Le Quéré, R. M. Andrew, P. Friedlingstein, S. Sitch, J. Hauck, J. Pongratz, P. A. Pickers, J. I. Korsbakken, G. P. Peters, J. G. Canadell, A. Arneth, V. K. Arora, L. Barbero, A. Bastos, L. Bopp, F. Chevallier, L. P. Chini, P. Ciais, S. C. Doney, T. Gkritzalis, D. S. Goll, I. Harris, V. Haverd, F. M. Hoffman, M. Hoppema, R. A. Houghton, G. Hurtt, T. Ilyina, A. K. Jain, T. Johannessen, C. D. Jones, E. Kato, R. F. Keeling, K. K. Goldewijk, P. Landschützer, N. Lefèvre, S. Lienert, Z. Liu, D. Lombardozzi, N. Metzl, D. R. Munro, J. E. M. S. Nabel, S.-I. Nakaoka, C. Neill, A. Olsen, T. Ono, P. Patra, A. Peregon, W. Peters, P. Peylin, B. Pfeil, D. Pierrot, B. Poulter, G. Rehder, L. Resplandy, E. Robertson, M. Rocher, C. Rödenbeck, U. Schuster, J. Schwinger, R. Séférian, I. Skjelvan, T. Steinhoff, A. Sutton, P. P. Tans, H. Tian, B. Tilbrook, F. N. Tubiello, I. T. van der Laan-Luijkx, G. R. van der Werf, N. Viovy, A. P. Walker, A. J. Wiltshire, R. Wright, S. Zaehle, B. Zheng, University of East Anglia [Norwich] (UEA), New Zealand Centre for Ecological Economics (NZCEE), College of Engineering, Mathematics and Physical Sciences, University of Exeter, College of Life and Environmental Sciences [Exeter], Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Canadian Centre for Climate Modelling and Analysis (CCCma), Environment and Climate Change Canada, Cooperative Institute for Marine and Atmospheric Studies (CIMAS), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], 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), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), 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, 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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), Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, ICOS-ATC (ICOS-ATC), Department of Marine Chemistry and Geochemistry (WHOI), Woods Hole Oceanographic Institution (WHOI), Flanders Marine Institute, VLIZ, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Climate Change Science Institute [Oak Ridge] (CCSI), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC-UT-Battelle, LLC, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Centre for Studies in Advanced Learning Technology (CSALT), The Institute of Applied Energy (IAE), University of California [San Diego] (UC San Diego), University of California, Austral, Boréal et Carbone (ABC), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), 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)), 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), 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)), 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), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], National Center for Atmospheric Research [Boulder] (NCAR), Cycles biogéochimiques marins : processus et perturbations (CYBIOM), 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 de Paris (UP)-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)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-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 de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), University of Wisconsin Whitewater, National Institute for Environmental Studies (NIES), Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), National Oceanic and Atmospheric Administration (NOAA), Montana State University (MSU), Department of Geosciences [Princeton], Princeton University, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], 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), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Shandong Agricultural University (SDAU), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Wageningen University and Research [Wageningen] (WUR), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), Biogeochemical Systems Department [Jena], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Carnegie Institution for Science, 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), 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 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), University of California (UC), 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), Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), 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), Isotope Research, Earth Sciences, and Environmental Sciences
Subjects: Meteorologie en Luchtkwaliteit, 010504 meteorology & atmospheric sciences, Meteorology and Air Quality, 530 Physics, Climate change, chemistry.chemical_element, Earth and Planetary Sciences(all), [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, Carbon cycle, Atmosphere, chemistry.chemical_compound, ANTHROPOGENIC CO2 UPTAKE, DATA ASSIMILATION, OCEAN, Deforestation, ddc:550, SDG 13 - Climate Action, Life Science, Energy statistics, SDG 14 - Life Below Water, ATMOSPHERIC CO2, DIOXIDE EMISSIONS, lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, lcsh:GE1-350, LAND-COVER CHANGE, WIMEK, lcsh:QE1-996.5, LEAF-AREA INDEX, Biosphere, 15. Life on land, FLUX VARIABILITY, MODEL, lcsh:Geology, Earth sciences, TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, chemistry, 13. Climate action, Carbon dioxide, General Earth and Planetary Sciences, Environmental science, Carbon, FIRE EMISSIONS
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere - the "global carbon budget" - is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and 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) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. 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 last decade available (2008-2017), EFF was 9.4±0.5 GtC yrĝ'1, ELUC 1.5±0.7 GtC yrĝ'1, GATM 4.7±0.02 GtC yrĝ'1, SOCEAN 2.4±0.5 GtC yrĝ'1, and SLAND 3.2±0.8 GtC yrĝ'1, with a budget imbalance BIM of 0.5 GtC yrĝ'1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yrĝ'1. Also for 2017, ELUC was 1.4±0.7 GtC yrĝ'1, GATM was 4.6±0.2 GtC yrĝ'1, SOCEAN was 2.5±0.5 GtC yrĝ'1, and SLAND was 3.8±0.8 GtC yrĝ'1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6-9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959-2017, but discrepancies of up to 1 GtC yrĝ'1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013).
Published: 2018

17. Hypertropik project for HYPXIM mission. Mapping tropical biodiversity using spectroscopic imagery : characterization of structural and chemical diversity using 3-D radiative transfer modeling

Author: Jean-Baptiste Féret, Jean-Philippe Gastellu-Etchegorry, Marie-Jose Lefèvre-Fonollosa, Christophe Proisy, Asner, Gregory P., 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), 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), Centre National d'Études Spatiales [Toulouse] (CNES), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], The European Association of Remote Sensing Laboratories, Luxembourg Institute of Science and Technology (LIST), Luxembourg , Trier University, Germany, 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), 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 de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Department of Global Ecology [Carnegie Institution], 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), and Carnegie Institution for Science
Subjects: PROSPECT, [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], satellite, airborne campaign, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Tropical forest, hyspiri, Mangroves, Cameroon, enmap, Eucalyptus plantations, shalom, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, biodiversity, Physical modeling, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], hisui, [SDE.IE]Environmental Sciences/Environmental Engineering, prisma, hypxim, radiative transfer modeling, French Guiana, hyperspectral, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], DART, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Brazil
Abstract: [Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-AMOS; International audience; In tropical forests, ecological processes heavily depend on the structure of the canopy (size, shape, dominance of trees) and also the ability of each species to capture light and nutrients in the soil. Airborne HR imaging spectroscopy has demonstrated its potential in tropical environments: Confirmation that trees structure combined with leaf biochemical properties influence the radiometric signal reflected by vegetation and contribute to the estimation of biodiversity; Identification of tree species; Mapping at fine scales as well local species diversity and changes in forest species communities. But what performance and limits for spaceborne system ? This presentation highlight the consolidation work made to prepare the HYPXIM Satellite Mission that aims to provide information about the characteristics of the vegetation from local scale (crowns) to regional scale (species communities across landscapes). HYPXIM will provide estimates of vegetation properties with sufficient precision to force the model variables or data assimilation procedures....The accelerating loss of biodiversity is a major environmental trend. Tropical ecosystems are particularly threatened due to climate change, invasive species, farming and natural resources exploitation. Recent advances in remote sensing of biodiversity confirmed the potential of high spatial resolution spectroscopic imagery for species identification and biodiversity mapping. Such information bridges the scale-gap between small-scale, highly detailed field studies and large-scale, low-resolution satellite observations. In order to produce fine-scale resolution maps of canopy alpha-diversity and beta-diversity of the Peruvian Amazonian forest, we designed, applied and validated a method based on spectral variation hypothesis to CAO AToMS (Carnegie Airborne Observatory Airborne Taxonomic Mapping System) images, acquired from 2011 to 2013. There is a need to understand on a quantitative basis the physical processes leading to this spectral variability. This spectral variability mainly depends on canopy chemistry, structure, and sensor’s characteristics. 3D radiative transfer modeling provides a powerful framework for the study of the relative influence of each of these factors in dense and complex canopies. We simulated series of spectroscopic images with the 3D radiative model DART, with variability gradients in terms of leaf chemistry, individual tree structure, spatial and spectral resolution, and applied methods for biodiversity mapping. This sensitivity study allowed us to determine the relative influence of these factors on the radiometric signal acquired by different types of sensors. Such study is particularly important to define the domain of validity of our approach, to refine requirements for the instrumental specifications, and to help preparing hyperspectral spatial missions to be launched at the horizon 2015-2025 (EnMAP, PRISMA, HISUI, SHALOM, HYSPIRI, HYPXIM). Simulations in preparation include topographic variations in order to estimate the robustness of image processing methods for mountainous ecosystems.
Published: 2015

18. On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images

Author: Roberta E. Martin, Silvia Valero, Gregory P. Asner, David E. Knapp, Philippe Salembier, Guillaume Tochon, Jean-Baptiste Féret, Jocelyn Chanussot, Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], 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), Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
Subjects: Teledetecció, 010504 meteorology & atmospheric sciences, Computer science, 0211 other engineering and technologies, Soil Science, Scale-space segmentation, 02 engineering and technology, 01 natural sciences, Segmentation, Tropical forest, Histogram, Mean-shift, Computers in Earth Sciences, Carnegie Airborne Observatory, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, Dimensionality reduction, Hyperspectral imaging, Geology, Binary partition tree, Image segmentation, 15. Life on land, Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC], Hyperspectral imagery, Principal component analysis, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Tree crown delineation
Abstract: The segmentation of remotely sensed images acquired over tropical forests is of great interest for numerous ecological applications, such as forest inventories or conservation and management of ecosystems, for which species classification techniques and estimation of the number of individuals are highly valuable inputs. In this paper, we propose a method for hyperspectral image segmentation, based on the binary partition tree (BPT) algorithm, and we apply it to two sites located in Hawaiian and Panamean tropical rainforests. Different strategies combining spatial and spectral dimensionality reduction are compared prior to the construction of the BPT. Various superpixel generation methods including watershed transformation and mean shift clustering are applied to decrease spatial dimensionality and provide an initial segmentation map. Principal component analysis is performed to reduce the spectral dimensionality and different combinations of principal components are compared. A non-parametric region model based on histograms, combined with the diffusion distance to merge regions, is used to build the BPT. An adapted pruning strategy based on the size discontinuity of the merging regions is proposed and compared with an already existing pruning strategy. Finally, a set of criteria to assess the quality of the tree segmentation is introduced. The proposed method correctly segmented up to 68% of the tree crowns and produced reasonable patterns of the segmented landscapes.
Published: 2015

19. Tropical sources and sinks of carbonyl sulfide observed from space

Author: Glatthor, N., Höpfner, M., Baker, I. T., Berry, J, Campbell, J. E., Kawa, S. R., Krysztofiak, G, Leyser, A., Sinnhuber, B.-M., Stiller, G. P., Stinecipher, J, Von Clarmann, T, Karlsruher Institut für Technologie (KIT), Department of Atmospheric Science [Fort Collins], Colorado State University [Fort Collins] (CSU), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Sierra Nevada Research Institute, University of California, NASA Goddard Space Flight Center (GSFC), Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Environmental Systems Graduate Group, University of California [Merced], and University of California-University of California
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, tropical sources and sinks of COS
Abstract: International audience; According to current budget estimations the seasonal variation of carbonyl sulfide (COS) is governed by oceanic release and vegetation uptake. Its assimilation by plants is assumed to be similar to the photosynthetic uptake of CO 2 but, contrary to the latter process, to be irreversible. Therefore, COS has been suggested as cotracer of the carbon cycle. Observations of COS, however, are sparse, especially in tropical regions. We use the comprehensive data set of spaceborne measurements of the Michelson Interferometer for Passive Atmospheric Sounding to analyze its global distribution. Two major features are observed in the tropical upper troposphere around 250 hPa: enhanced amounts over the western Pacific and the Maritime Continent, peaking around 550 parts per trillion by volume (pptv) in boreal summer, and a seasonally varying depletion of COS extending from tropical South America to Africa. The large-scale COS depletion, which in austral summer amounts up to −40 pptv as compared to the rest of the respective latitude band, has not been observed before and reveals the seasonality of COS uptake through tropical vegetation. The observations can only be reproduced by global models, when a large vegetation uptake and a corresponding increase in oceanic emissions as proposed in several recent publications are assumed.
Published: 2015

20. Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy

Author: Jean-Baptiste Féret, Gregory P. Asner, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: 0106 biological sciences, Conservation of Natural Resources, 010504 meteorology & atmospheric sciences, Beta diversity, Biodiversity, Geographic Mapping, Bray–Curtis dissimilarity, Forests, 010603 evolutionary biology, 01 natural sciences, Diversity index, Peru, Tropical climate, 0105 earth and related environmental sciences, Tropical Climate, Ecology, Spectrum Analysis, Tropics, 15. Life on land, 13. Climate action, Environmental science, Alpha diversity, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Monitoring
Abstract: There is a growing need for operational biodiversity mapping methods to quantify and to assess the impact of climate change, habitat alteration, and human activity on ecosystem composition and function. Here, we present an original method for the estimation of α- and β-diversity of tropical forests based on high-fidelity imaging spectroscopy. We acquired imagery over high-diversity Amazonian tropical forest landscapes in Peru with the Carnegie Airborne Observatory and developed an unsupervised method to estimate the Shannon index (H′) and variations in species composition using Bray-Curtis dissimilarity (BC) and nonmetric multidimensional scaling (NMDS). An extensive field plot network was used for the validation of remotely sensed α- and β-diversity. Airborne maps of H′ were highly correlated with field α-diversity estimates (r = 0.86), and BC was estimated with demonstrable accuracy (r = 0.61–0.76). Our findings are the first direct and spatially explicit remotely sensed estimates of α- and β-diversity of humid tropical forests, paving the way for new applications using airborne and space-based imaging spectroscopy.
Published: 2014

21. Landscape-scale variation in plant community composition of an African savanna from airborne species mapping

Author: Roberta E. Martin, Jean-Baptiste Féret, Matthew S. Colgan, Shaun R. Levick, Gregory P. Asner, Claire A. Baldeck, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: Ecology, ved/biology, National park, ved/biology.organism_classification_rank.species, Community structure, Biodiversity, Plant community, 15. Life on land, Plants, Shrub, Field (geography), South Africa, Geography, Ordination, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Woody plant, Demography
Abstract: Information on landscape-scale patterns in species distributions and community types is vital for ecological science and effective conservation assessment and planning. However, detailed maps of plant community structure at landscape scales seldom exist due to the inability of field-based inventories to map a sufficient number of individuals over large areas. The Carnegie Airborne Observatory (CAO) collected hyperspectral and lidar data over Kruger National Park, South Africa, and these data were used to remotely identify500 000 tree and shrub crowns over a 144-km2 landscape using stacked support vector machines. Maps of community compositional variation were produced by ordination and clustering, and the importance of hillslope-scale topo-edaphic variation in shaping community structure was evaluated with redundancy analysis. This remote species identification approach revealed spatially complex patterns in woody plant communities throughout the landscape that could not be directly observed using field-based methods alone. We estimated that topo-edaphic variables representing catenal sequences explained 21% of species compositional variation, while we also uncovered important community patterns that were unrelated to catenas, indicating a large role for other soil-related factors in shaping the savanna community. Our results demonstrate the ability of airborne species identification techniques to map biodiversity for the evaluation of ecological controls on community composition over large landscapes.
Published: 2014

22. Attributing the increase in atmospheric CO2 to emitters and absorbers

Author: S. L. Piao, Jean-Daniel Paris, Vincent Gitz, Philippe Ciais, Michael R. Raupach, Ken Caldeira, Pierre Friedlingstein, Thomas Gasser, Anand Patwardhan, Josep G. Canadell, 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), 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), ICOS-RAMCES (ICOS-RAMCES), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Australian National University (ANU), Global Carbon Project, CSIRO Marine and Atmospheric Research, University of Exeter, Department of Ecology, College of Urban and Environmental Science, Peking University [Beijing], 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), 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), and Carnegie Institution for Science
Subjects: 010504 meteorology & atmospheric sciences, Climate-Change, Ecology, Carbon sink, 15. Life on land, 010501 environmental sciences, Environmental Science (miscellaneous), Atmospheric sciences, 01 natural sciences, Carbon-Cycle, 13. Climate action, Kyoto-Protocol, [SDE]Environmental Sciences, Greenhouse gas removal, Environmental science, Dependant, Land-Use, ComputingMilieux_MISCELLANEOUS, Social Sciences (miscellaneous), 0105 earth and related environmental sciences, Model
Abstract: Climate change policies need to consider the contribution of each emitting region to the increase in atmospheric carbon dioxide. We calculate regional attributions of increased atmospheric CO2 using two different assumptions about land sinks. In the first approach, each absorber region is attributed 'domestic sinks' that occur within its boundaries. In the second, alternative approach, each emitter region is attributed 'foreign sinks' that it created indirectly through its contribution to increasing CO2. We unambiguously attribute the largest share of the historical increase in CO2 between pre-industrial times and the present-day period to developed countries. However, the excess CO2 in the atmosphere since pre-industrial times attributed to developing countries is greater than their share of cumulative CO2 emissions. This is because a greater fraction of their emissions occurred more recently. If emissions remain high over the coming decades, the share of excess CO2 attributable to developing countries will grow, and the sink service provided by forested regions-in particular those with tropical forest-to other regions will depend critically on future tropical land-use change.
Published: 2013

23. Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP)

Author: Kravitz, ., Caldeira, K., Boucher, O., Robock, A., Rasch, P., Alterskjær, K., Bou Karam, D., Cole, J., Curry, C., Haywood, J., Irvine, P., Ji, D., Jones, A., Kristjánsson, J., Lunt, D., Moore, J., Niemeier, U., Schmidt, H., Schulz, M., Singh, B., Tilmes, S., Watanabe, S., Yang, S., Yoon, J., Pacific Northwest National Laboratory (PNNL), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, 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), Department of Environmental Sciences [New Brunswick], School of Environmental and Biological Sciences [New Brunswick], Rutgers, The State University of New Jersey [New Brunswick] (RU), Rutgers University System (Rutgers)-Rutgers University System (Rutgers)-Rutgers, The State University of New Jersey [New Brunswick] (RU), Rutgers University System (Rutgers)-Rutgers University System (Rutgers), Department of Geosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), 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), Canadian Centre for Climate Modelling and Analysis (CCCma), Environment and Climate Change Canada, School of Earth and Ocean Sciences, University of Victoria, Victoria BC, Canada, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, Institute for Advanced Sustainability Studies [Potsdam] (IASS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University (BNU), University of Bristol [Bristol], Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Norwegian Meteorological Institute [Oslo] (MET), National Center for Atmospheric Research [Boulder] (NCAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Danish Meteorological Institute (DMI), Carnegie Institution for Science [Washington], 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), 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)
Subjects: model intercomparison, geoengineering, [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Earth Science
Abstract: International audience; Solar geoengineering - deliberate reduction in the amount of solar radiation retained by the Earth - has been proposed as a means of counteracting some of the climatic effects of anthropogenic greenhouse gas emissions. We present results from Experiment G1 of the Geoengineering Model Intercomparison Project, in which 12 climate models have simulated the climate response to an abrupt quadrupling of CO2 from preindustrial concentrations brought into radiative balance via a globally uniform reduction in insolation. Models show this reduction largely offsets global mean surface temperature increases due to quadrupled CO2 concentrations and prevents 97% of the Arctic sea ice loss that would otherwise occur under high CO2 levels but, compared to the preindustrial climate, leaves the tropics cooler (-0.3 K) and the poles warmer (+0.8 K). Annual mean precipitation minus evaporation anomalies for G1 are less than 0.2 mm day-1 in magnitude over 92% of the globe, but some tropical regions receive less precipitation, in part due to increased moist static stability and suppression of convection. Global average net primary productivity increases by 120% in G1 over simulated preindustrial levels, primarily from CO2 fertilization, but also in part due to reduced plant heat stress compared to a high CO2 world with no geoengineering. All models show that uniform solar geoengineering in G1 cannot simultaneously return regional and global temperature and hydrologic cycle intensity to preindustrial levels. Key Points Temperature reduction from uniform geoengineering is not uniform Geoengineering cannot offset both temperature and hydrology changes NPP increases mostly due to CO2 fertilization ©2013. American Geophysical Union. All Rights Reserved.
Published: 2013

24. Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy

Author: Gregory P. Asner, Jean-Baptiste Féret, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: Contextual image classification, business.industry, 0211 other engineering and technologies, Hyperspectral imaging, Pattern recognition, 04 agricultural and veterinary sciences, 02 engineering and technology, 15. Life on land, Linear discriminant analysis, Support vector machine, Optimal discriminant analysis, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, General Earth and Planetary Sciences, Bhattacharyya distance, Species richness, Artificial intelligence, Electrical and Electronic Engineering, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business, Spatial analysis, 021101 geological & geomatics engineering, Mathematics
Abstract: We identify canopy species in a Hawaiian tropical forest using supervised classification applied to airborne hyperspectral imagery acquired with the Carnegie Airborne Observatory-Alpha system. Nonparametric methods (linear and radial basis function support vector machine, artificial neural network, and k-nearest neighbor) and parametric methods (linear, quadratic, and regularized discriminant analysis) are compared for a range of species richness values and training sample sizes. We find a clear advantage in using regularized discriminant analysis, linear discriminant analysis, and support vector machines. No unique optimal classifier was found for all conditions tested, but we highlight the possibility of improving support vector machine classification with a better optimization of its free parameters. We also confirm that a combination of spectral and spatial information increases accuracy of species classification: we combine segmentation and species classification from regularized discriminant analysis to produce a map of the 17 discriminated species. Finally, we compare different methods to assess spectral separability and find a better ability of Bhattacharyya distance to assess separability within and among species. The results indicate that species mapping is tractable in tropical forests when using high-fidelity imaging spectroscopy.
Published: 2013

25. Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

Author: Gregory P. Asner, Jean-Baptiste Féret, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: Canopy, canopy height, 010504 meteorology & atmospheric sciences, LiDAR intensity, species mapping, Science, Biodiversity, 01 natural sciences, Carnegie Airborne Observatory, biodiversity, 0105 earth and related environmental sciences, Remote sensing, tropical forests, hyperspectral imagery, semi-supervised classification, Hyperspectral imaging, 04 agricultural and veterinary sciences, 15. Life on land, Tropical forest, Imaging spectroscopy, Lidar, Kernel (statistics), 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, General Earth and Planetary Sciences, Environmental science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Tree species
Abstract: Our objective is to identify and map individuals of nine tree species in a Hawaiian lowland tropical forest by comparing the performance of a variety of semi-supervised classifiers. A method was adapted to process hyperspectral imagery, LiDAR intensity variables, and LiDAR-derived canopy height and use them to assess the identification accuracy. We found that semi-supervised Support Vector Machine classification using tensor summation kernel was superior to supervised classification, with demonstrable accuracy for at least eight out of nine species, and for all combinations of data types tested. We also found that the combination of hyperspectral imagery and LiDAR data usually improved species classification. Both LiDAR intensity and LiDAR canopy height proved useful for classification of certain species, but the improvements varied depending upon the species in question. Our results pave the way for target-species identification in tropical forests and other ecosystems.
Published: 2012

26. Climate forcing reconstructions for use in PMIP simulations of the Last Millennium (v1.1)

Author: Schmidt, G., Jungclaus, J., Ammann, C., Bard, E., Braconnot, P., Crowley, T., Delaygue, G., Joos, F., Krivova, N., Muscheler, R., Otto-Bliesner, B., Pongratz, J., Shindell, D., Solanki, S., Steinhilber, F., Vieira, L., NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Center for Climate Systems Research [New York] (CCSR), Columbia University [New York], Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, National Center for Atmospheric Research [Boulder] (NCAR), Chaire Evolution du climat et de l'océan, Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-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), 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), School of Geosciences [Edinburgh], University of Edinburgh, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], Oeschger Centre for Climate Change Research (OCCR), University of Bern, Max-Planck-Institut für Sonnensystemforschung (MPS), Department of Geology [Lund], Lund University [Lund], Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], School of Space Research, Kyung Hee University (KHU), Swiss Federal Institute of Aquatic Science and Technology, Swiss Federal Insitute of Aquatic Science and Technology [Dübendorf] (EAWAG), Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Collège de France - Chaire Evolution du climat et de l'océan, 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), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 (Grenoble INP )-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), Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), Max-Planck-Institut für Sonnensystemforschung = Max Planck Institute for Solar System Research (MPS), Carnegie Institution for Science, Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), 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), 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), Department of Global Ecology [Carnegie Institution], Swiss Federal Institute for Environmental Science and Technology [Dübendorf] (EAWAG), and Laboratoire de Physique et Chimie de l'Environnement et de l'Espace and Université d'Orléans
Subjects: lcsh:Geology, 010504 meteorology & atmospheric sciences, 13. Climate action, lcsh:QE1-996.5, 0103 physical sciences, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, 010502 geochemistry & geophysics, 010303 astronomy & astrophysics, 01 natural sciences, 0105 earth and related environmental sciences
Abstract: We update the forcings for the PMIP3 experiments for the Last Millennium to include a new assessment of historical land use changes and discuss new suggestions for calibrating solar activity proxies to total solar irradiance.
Published: 2012

27. Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

Author: Jean-Baptiste Féret, Anatoly A. Gitelson, Andrew D. Richardson, Cinzia Panigada, Gregory P. Asner, C. François, Stéphane Jacquemoud, Karen M. Barry, Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Feret, J, Francois, C, Gitelson, A, Asner, G, Barry, K, Panigada, C, Richardson, A, and Jacquemoud, S
Subjects: Pigment content, Polynomial, PROSPECT, 010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, Soil Science, 02 engineering and technology, Hyperspectral data, Spectral indice, 01 natural sciences, Spectral line, Synthetic data, Partial least squares regression, Normal distribution, Atmospheric radiative transfer codes, Computers in Earth Sciences, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, Mathematics, Water content, Experimental data, Geology, Regression, Leaf mass per area, GEO/10 - GEOFISICA DELLA TERRA SOLIDA, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Leaf optical propertie
Abstract: We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT-5, to develop statistical relationships between leaf optical and chemical properties, which were applied to experimental data without any readjustment. Four distinct synthetic datasets were tested: two unrealistic, uniform distributions and two normal distributions based on statistical properties drawn from a comprehensive experimental database. Two methods used in remote sensing to retrieve vegetation chemical composition, spectral indices and Partial Least Squares (PLS) regression, were trained both on the synthetic and experimental datasets, and validated against observations. Results are compared to a cross-validation process and model inversion applied to the same observations. They show that synthetic datasets based on normal distributions of actual leaf chemical and structural properties can be used to optimize remotely sensed spectral indices or other retrieval methods for analysis of leaf chemical constituents. This study concludes with the definition of several polynomial relationships to retrieve leaf chlorophyll content, carotenoid content, equivalent water thickness and leaf mass per area using spectral indices, derived from synthetic data and validated on a large variety of leaf types. The straightforward method described here brings the possibility to apply or adapt statistical relationships to any type of leaf. © 2011 Elsevier Inc.
Published: 2011

28. Spectroscopic classification of tropical forest species using radiative transfer modeling

Author: Jean-Baptiste Féret, Gregory P. Asner, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: Canopy, Tree canopy, Spectral signature, 010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, Biodiversity, Soil Science, Tropics, Geology, 02 engineering and technology, 15. Life on land, 01 natural sciences, Atmospheric radiative transfer codes, Tropical climate, Radiative transfer, Environmental science, Computers in Earth Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing
Abstract: Leaf spectroscopy may be useful for tropical species discrimination, but few studies have provided an understanding of the spectral separability of species or how leaf spectroscopy scales to the canopy level relevant to mapping. Here we report on a study to classify humid tropical forest canopy species using field-measured leaf optical properties with leaf and canopy radiative transfer models. The experimental dataset included 188 canopy species collected in humid tropical forests of Hawaii. The leaf optical model PROSPECT-5 was used to simulate the leaf spectra of each species, which was used to train a classifier based on Linear Discriminant Analysis, and a canopy radiative transfer model 4SAIL2 to scale leaf measurements to the canopy level. The relationship linking classification accuracy at the leaf level to biodiversity showed an asymptotic trend reaching a maximum error of 47% when applied to the entire 188 species experimental dataset, and 56% when a simulated dataset showing amplified within-species spectral variability was used, suggesting uniqueness of the spectral signature for a significant proportion of species under study. The maximum error in canopy-level species classification was higher than leaf-level classification: 55% when canopy structure was held constant, and 64% with varying and unknown canopy structure. However, when classifying fewer species at a time, errors dropped considerably; for example, 20 species can be classified to 82–88% accuracy. These results highlight the potential of imaging spectroscopy to provide species discrimination in high-diversity, humid tropical forests.
Published: 2011

29. Global Change Could Amplify Fire Effects on Soil Greenhouse Gas Emissions

Author: Jamie R. Brown, Paul Dijkstra, Xavier Le Roux, Laure Barthes, Joseph C. Blankinship, Paul Leadley, Audrey Niboyet, Romain L. Barnard, Bruce A. Hungate, Christopher B. Field, Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Department of Biological Sciences [Flagstaff], Northern Arizona University [Flagstaff], Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Vétérinaire de Lyon (ENVL)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Institute of Plant Sciences, Institut of Plant Sciences, Department of Global Ecology [Carnegie Institution], Carnegie Institution for Science [Washington], Ecologie Systématique et Evolution ( ESE ), Université Paris-Sud - Paris 11 ( UP11 ) -AgroParisTech-Centre National de la Recherche Scientifique ( CNRS ), Ecologie microbienne ( EM ), Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Vétérinaire de Lyon ( ENVL ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique ( INRA ) -VetAgro Sup ( VAS ), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Ecole Nationale Vétérinaire de Lyon (ENVL), and Department of Global Ecology [Carnegie] (DGE)
Subjects: Greenhouse Effect, Internationality, Time Factors, sol, 010504 meteorology & atmospheric sciences, Nitrous Oxide, lcsh:Medicine, 01 natural sciences, Soil, Global Change Ecology, Environmental protection, Chemical Precipitation, Greenhouse effect, lcsh:Science, Soil Microbiology, azote, 2. Zero hunger, Multidisciplinary, Ecology, Soil chemistry, 04 agricultural and veterinary sciences, Biogeochemistry, Soil Ecology, Terrestrial Environments, Denitrification, Ecosystem Functioning, Research Article, effet de serre, Nitrogen, Context (language use), Ecosystems, Fires, incendie, Microbial Ecology, dioxyde de carbone, Plant-Environment Interactions, Ecosystem, Terrestrial Ecology, Biology, 0105 earth and related environmental sciences, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Plant Ecology, lcsh:R, Global change, Soil carbon, Carbon Dioxide, 15. Life on land, émission, précipitation atmosphérique, Disturbance (ecology), 13. Climate action, Greenhouse gas, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, lcsh:Q, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecological Environments
Abstract: Background: Little is known about the combined impacts of global environmental changes and ecological disturbances on ecosystem functioning, even though such combined impacts might play critical roles in shaping ecosystem processes that can in turn feed back to climate change, such as soil emissions of greenhouse gases.[br/] Methodology/Principal Findings: We took advantage of an accidental, low-severity wildfire that burned part of a long-term global change experiment to investigate the interactive effects of a fire disturbance and increases in CO(2) concentration, precipitation and nitrogen supply on soil nitrous oxide (N(2)O) emissions in a grassland ecosystem. We examined the responses of soil N(2)O emissions, as well as the responses of the two main microbial processes contributing to soil N(2)O production - nitrification and denitrification - and of their main drivers. We show that the fire disturbance greatly increased soil N(2)O emissions over a three-year period, and that elevated CO(2) and enhanced nitrogen supply amplified fire effects on soil N(2)O emissions: emissions increased by a factor of two with fire alone and by a factor of six under the combined influence of fire, elevated CO(2) and nitrogen. We also provide evidence that this response was caused by increased microbial denitrification, resulting from increased soil moisture and soil carbon and nitrogen availability in the burned and fertilized plots. [br/] Conclusions/Significance: Our results indicate that the combined effects of fire and global environmental changes can exceed their effects in isolation, thereby creating unexpected feedbacks to soil greenhouse gas emissions. These findings highlight the need to further explore the impacts of ecological disturbances on ecosystem functioning in the context of global change if we wish to be able to model future soil greenhouse gas emissions with greater confidence.
Published: 2011

30. Soil Carbon Sequestration or Biofuel Production: New Land-Use Opportunities for Mitigating Climate over Abandoned Soviet Farmlands

Author: Nicolas Vuichard, Philippe Ciais, Adam Wolf, 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), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), 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), ICOS-ATC (ICOS-ATC), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], 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), and Carnegie Institution for Science
Subjects: Crops, Agricultural, 010504 meteorology & atmospheric sciences, Natural resource economics, Climate Change, 010501 environmental sciences, Carbon sequestration, 7. Clean energy, 01 natural sciences, 12. Responsible consumption, Ecosystem services, Soil, Agricultural land, 11. Sustainability, Environmental Chemistry, Marginal land, 0105 earth and related environmental sciences, 2. Zero hunger, Food security, business.industry, Environmental engineering, Agriculture, General Chemistry, 15. Life on land, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Carbon, 13. Climate action, Biofuel, Greenhouse gas, Biofuels, [SDE]Environmental Sciences, Environmental science, business, USSR
Abstract: International audience; Although the CO(2) mitigation potential of biofuels has been studied by extrapolation of small-scale studies, few estimates exist of the net regional-scale carbon balance implications of biofuel cultivations programs, either growing conventional biofuel crops or applying new advanced technologies. Here we used a spatially distributed process-driven model over the 20 Mha of recently abandoned agricultural lands of the Former Soviet Union to quantify the GHG mitigation by biofuel production from Low Input/High Diversity (LIHD) grass-legume prairies and to compare this GHG mitigation with the one of soil C sequestration as it currently occurs. LIHD has recently received a lot of attention as an emerging opportunity to produce biofuels over marginal lands leading to a good energy efficiency with minimal adverse consequences on food security and ecosystem services. We found that depending on the time horizon over which one seeks to maximize the GHG benefit the optimal time for implementing biofuel production shifts from "never" (short-term horizon) to "as soon as possible" (longer-term horizon). These results highlight the importance of reaching agreement a priori on the target time interval during which biofuels are expected to play a role within the global energy system, to avoid deploying biofuel technology over a time interval for which it has a detrimental impact on the GHG mitigation objective. The window of opportunity for growing LIHD also stresses the need to reduce uncertainties in soil C inputs, turnover, and soil organic matter stability under current and future climate and management practices.
Published: 2009

31. Biogeophysical effects of CO2 fertilization on global climate

Author: M. Wickett, Christine Delire, Govindasamy Bala, Ken Caldeira, Arthur A. Mirin, Thomas J. Phillips, Energy and Environment Directorate, Lawrence Livermore National Laboratory (LLNL), Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science, 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)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Carnegie Institution for Science [Washington], École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226
Subjects: DYNAMICS, Atmospheric Science, 010504 meteorology & atmospheric sciences, LAND-USE, Global climate, CARBON-CYCLE MODEL, [SDE.MCG]Environmental Sciences/Global Changes, 15. Life on land, 010502 geochemistry & geophysics, 7. Clean energy, 01 natural sciences, VEGETATION FEEDBACKS, SIMULATIONS, INCREASE, COUPLED CLIMATE, 13. Climate action, Climatology, Environmental science, ECOSYSTEM, SENSITIVITY, ATMOSPHERIC CO2, 0105 earth and related environmental sciences
Abstract: CO2 fertilization affects plant growth, which modifies surface physical properties, altering the surface albedo, and fluxes of sensible and latent heat. We investigate how such CO2-fertilization effects on vegetation and surface properties would affect the climate system. Using a global three-dimensional climate-carbon model that simulates vegetation dynamics, we compare two multicentury simulations: a ‘Control’ simulation with no emissions and a ‘Physiol-noGHG’ simulation where physiological changes occur as a result of prescribed CO2 emissions, but where CO2-induced greenhouse warming is not included. In our simulations, CO2 fertilization produces warming; we obtain an annual- and global-mean warming of about 0.65 K (and land-only warming of 1.4 K) after 430 yr. This century-scale warming is mostly due to a decreased surface albedo associated with the expansion of the Northern Hemisphere boreal forests. On decadal timescales, the CO2 uptake by afforestation should produce a cooling effect that exceeds this albedo-based warming; but if the forests remain in place, the CO2-enhanced-greenhouse effect would diminish as the ocean equilibrates with the atmosphere, whereas the albedo effect would persist. Thus, on century timescales, there is the prospect for net warming from CO2fertilization of the land biosphere. Further study is needed to confirm and better quantify our results.DOI: 10.1111/j.1600-0889.2006.00210.x
Published: 2006

32. Heterologous expression of a plant uracil transporter in yeast: improvement of plasma membrane targeting in mutants of the Rsp5p ubiquitin protein ligase

Author: Nicole Buisson, Marcelo Desimone, Rosine Haguenauer-Tsapis, Marine Froissard, Wolf B. Frommer, Naïma Belgareh-Touzé, Kropfinger, Antonia, Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Zentrum für Molekularbiologie der Pflanzen ( ZMBP ), Eberhard Karls Universität Tübingen, Department of Global Ecology [Carnegie Institution], Carnegie Institution for Science [Washington], Association pour la Recherche contre le Cancer (ARC) (n° 3298) European Union program (EFFEXPORT, contract QLRT-2001-00533), Centre National de la Recherche Scientifique (CNRS), Plant Physiology, Umeå University, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Zentrum für Molekularbiologie der Pflanzen (ZMBP), Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, and Department of Global Ecology [Carnegie] (DGE)
Subjects: Saccharomyces cerevisiae Proteins, [SDV]Life Sciences [q-bio], Rsp5p, Heterologous, Saccharomyces cerevisiae, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, transporters, Biology, yeast, Protein Engineering, Applied Microbiology and Biotechnology, Cell membrane, 03 medical and health sciences, Drug Delivery Systems, Gene Expression Regulation, Fungal, medicine, Cloning, Molecular, [SDV.BC] Life Sciences [q-bio]/Cellular Biology, 030304 developmental biology, 0303 health sciences, Endosomal Sorting Complexes Required for Transport, Arabidopsis Proteins, Membrane transport protein, [ SDV.BC ] Life Sciences [q-bio]/Cellular Biology, Endoplasmic reticulum, Cell Membrane, 030302 biochemistry & molecular biology, Membrane Transport Proteins, Ubiquitin-Protein Ligase Complexes, heterologous expression, ER retention, General Medicine, Recombinant Proteins, Ubiquitin ligase, Cell biology, ubiquitin protein ligase, Genetic Enhancement, medicine.anatomical_structure, Biochemistry, Membrane protein, Mutagenesis, Site-Directed, biology.protein, Molecular Medicine, Heterologous expression
Abstract: Plasma membrane proteins involved in transport processes play a crucial role in cell physiology. On account of these properties, these molecules are ideal targets for development of new therapeutic and agronomic agents. However, these proteins are of low abundance, which limits their study. Although yeast seems ideal for expressing heterologous transporters, plasma membrane proteins are often retained in intracellular compartments. We tried to find yeast mutants potentially able to improve functional expression of a whole set of heterologous transporters. We focused on Arabidopsis thaliana ureide transporter 1 (AtUPS1), previously cloned by functional complementation in yeast. Tagged versions of AtUPS1 remain mostly trapped in the endoplasmic reticulum and were able to reach slowly the plasma membrane. In contrast, untagged AtUPS1 is rapidly delivered to plasma membrane, where it remains in stable form. Tagged and untagged versions of AtUPS1 were expressed in cells deficient in the ubiquitin ligase Rsp5p, involved in various stages of the intracellular trafficking of membrane-bound proteins. rsp5 mutants displayed further plasma membrane stabilization of untagged AtUPS1, and improved steady state amounts of tagged versions of AtUPS1. rsp5 cells are thus powerful tools to solve the many problems inherent in heterologous expression of membrane proteins in yeast, including ER retention.
Published: 2006

33. Several components of global change alter nitrifying and denitrifying activities in an annual grassland

Author: E. E. Cleland, Bruce A. Hungate, Romain L. Barnard, Laure Barthes, X. Le Roux, Paul Leadley, Joseph C. Blankinship, Ecologie Systématique et Evolution (ESE), Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF)-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Ecole Nationale Vétérinaire de Lyon (ENVL), Department of Biological Sciences and Merriam-Powell, Northern Arizona University [Flagstaff], Department of Global Ecology [Carnegie] (DGE), Carnegie Institution for Science [Washington], Ecologie Systématique et Evolution ( ESE ), Centre National de la Recherche Scientifique ( CNRS ) -Université Paris-Sud - Paris 11 ( UP11 ) -Ecole Nationale du Génie Rural, des Eaux et des Forêts ( ENGREF ), Ecologie microbienne ( EM ), Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Vétérinaire de Lyon ( ENVL ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique ( INRA ) -VetAgro Sup ( VAS ), Department of Global Ecology [Carnegie Institution], Université Paris-Sud - Paris 11 (UP11), Department of Biological Sciences, Department of Global Ecology, Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF), Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Vétérinaire de Lyon (ENVL)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)
Subjects: Denitrification, 010504 meteorology & atmospheric sciences, warming, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, precipitation, 01 natural sciences, BROMUS HORDEACEUS, [ SDV.EE ] Life Sciences [q-bio]/Ecology, environment, Denitrifying bacteria, chemistry.chemical_compound, AVENA BARBATA, N addition, Water content, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, 2. Zero hunger, ERODIUM BOTRYS, [ SDV.BID ] Life Sciences [q-bio]/Biodiversity, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Biomass (ecology), elevated CO2, Ecology, Global change, 04 agricultural and veterinary sciences, 15. Life on land, nitrification, GERANIUM DISSECTUM, GERANIUM, chemistry, 13. Climate action, Environmental chemistry, Soil water, Carbon dioxide, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Nitrification, TENEUR EN EAU DU SOL
Abstract: International audience; The effects of global change on below-ground processes of the nitrogen (N) cycle have repercussions for plant communities, productivity and trace gas effluxes. However, the interacting effects of different components of global change on nitrification or denitrification have rarely been studied in situ. 2. We measured responses of nitrifying enzyme activity (NEA) and denitrifying enzyme activity (DEA) to over 4 years of exposure to several components of global change and their interaction (increased atmospheric CO2 concentration, temperature, precipitation and N addition) at peak biomass period in an annual grassland ecosystem. In order to provide insight into the mechanisms controlling the response of NEA and DEA to global change, we examined the relationships between these activities and soil moisture, microbial biomass C and N, and soil extractable N. 3. Across all treatment combinations, NEA was decreased by elevated CO2 and increased by N addition. While elevated CO2 had no effect on NEA when not combined with other treatments, it suppressed the positive effect of N addition on NEA in all the treatments that included N addition. We found a significant CO2-N interaction for DEA, with a positive effect of elevated CO2 on DEA only in the treatments that included N addition, suggesting that N limitation of denitrifiers may have occurred in our system. Soil water content, extractable N concentrations and their interaction explained 74% of the variation in DEA. 4. Our results show that the potentially large and interacting effects of different components of global change should be considered in predicting below-ground N responses of Mediterranean grasslands to future climate changes.
Published: 2006

34. Microtopographic controls on lowland Amazonian canopy diversity from imaging spectroscopy

Author: Gregory P. Asner, Jean-Baptiste Féret, Department of Global Ecology [Carnegie] (DGE), and Carnegie Institution for Science [Washington]
Subjects: Tree canopy, Conservation of Natural Resources, geography.geographical_feature_category, Ecology, Floodplain, Spectrum Analysis, Biodiversity, Beta diversity, Geographic Mapping, 15. Life on land, Forests, Diversity index, Geography, Peru, Spatial ecology, Alpha diversity, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Monitoring
Abstract: Microtopographic variation is ubiquitous throughout lowland Amazonia, and it may impart patterns of species richness and abundance, and perhaps community compositional changes. To date, no studies have determined the degree to which lowland microtopography influences forest canopy diversity. We developed the first high-resolution maps of forest canopy diversity in Amazonia, focusing on four landscapes on two river systems in Peru. Spectroscopic images were acquired using the Carnegie Airborne Observatory combined with a new method based on spectral species to map α- and β-diversity. We analyzed spatial patterns in diversity with respect to floodplain and terrace (terra firme) surfaces and in upriver and downriver locations with contrasting landscape morphologies. We found slightly lower average α-diversity in floodplains, but with greater variance than in terrace communities caused by the floodplain mix of swamp forests, anoxic low-diversity ecosystems, and high-diversity areas. β-diversity estimated with the Bray-Curtis dissimilarity (BC) was strongly related to microtopography, with floodplains showing higher internal compositional dissimilarity than terraces. Throughout all landscapes, remotely mapped BC within terrace environments ranged from 0.25 to 0.43, but these values increased 30–77% on floodplains. Upriver landscapes characterized by higher terraces showed more distinct community turnover than did their downstream counterparts. We conclude that microtopography strongly influences β-diversity throughout the study landscapes, but terrain is weakly associated with variation in α-diversity. We uncover the importance of microtopography in determining species composition in lowland Amazonia and highlight the value of imaging spectroscopy for biodiversity research and conservation.

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34 results on '"Department of Global Ecology [Carnegie] (DGE)"'

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

2. Fire affects the taxonomic and functional composition of soil microbial communities, with cascading effects on grassland ecosystem functioning

3. Recent global decline of CO$_2$ fertilization effects on vegetation photosynthesis

4. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity

5. Global Carbon Budget 2019

6. Fundamentals of data assimilation applied to biogeochemistry

7. Air temperature optima of vegetation productivity across global biomes

8. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches

9. Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites

10. Summertime upper tropospheric nitrous oxide over the Mediterranean as a footprint of Asian emissions

11. Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed

12. The PMIP4 contribution to CMIP6 – Part 3: The last millennium,scientific objective, and experimental design for the PMIP4 past1000 simulations

13. Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data

14. Re-evaluating the 1940s CO2 plateau

15. Climate forcing reconstructions for use in PMIP simulations of the last millennium (v1.0)

16. Global Carbon Budget 2018

17. Hypertropik project for HYPXIM mission. Mapping tropical biodiversity using spectroscopic imagery : characterization of structural and chemical diversity using 3-D radiative transfer modeling

18. On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images

19. Tropical sources and sinks of carbonyl sulfide observed from space

20. Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy

21. Landscape-scale variation in plant community composition of an African savanna from airborne species mapping

22. Attributing the increase in atmospheric CO2 to emitters and absorbers

23. Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP)

24. Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy

25. Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

26. Climate forcing reconstructions for use in PMIP simulations of the Last Millennium (v1.1)

27. Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

28. Spectroscopic classification of tropical forest species using radiative transfer modeling

29. Global Change Could Amplify Fire Effects on Soil Greenhouse Gas Emissions

30. Soil Carbon Sequestration or Biofuel Production: New Land-Use Opportunities for Mitigating Climate over Abandoned Soviet Farmlands

31. Biogeophysical effects of CO2 fertilization on global climate

32. Heterologous expression of a plant uracil transporter in yeast: improvement of plasma membrane targeting in mutants of the Rsp5p ubiquitin protein ligase

33. Several components of global change alter nitrifying and denitrifying activities in an annual grassland

34. Microtopographic controls on lowland Amazonian canopy diversity from imaging spectroscopy

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34 results on '"Department of Global Ecology [Carnegie] (DGE)"'

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