Search

Your search keyword '"Massad, Raia-Silvia"' showing total 95 results
Start Over Author "Massad, Raia-Silvia"
95 results on '"Massad, Raia-Silvia"'

1. Residual correlation and ensemble modelling to improve crop and grassland models

Author

Sándor, Renáta, Ehrhardt, Fiona, Grace, Peter, Recous, Sylvie, Smith, Pete, Snow, Val, Soussana, Jean-François, Basso, Bruno, Bhatia, Arti, Brilli, Lorenzo, Doltra, Jordi, Dorich, Christopher D., Doro, Luca, Fitton, Nuala, Grant, Brian, Harrison, Matthew Tom, Skiba, Ute, Kirschbaum, Miko U.F., Klumpp, Katja, Laville, Patricia, Léonard, Joel, Martin, Raphaël, Massad, Raia Silvia, Moore, Andrew D., Myrgiotis, Vasileios, Pattey, Elizabeth, Rolinski, Susanne, Sharp, Joanna, Smith, Ward, Wu, Lianhai, Zhang, Qing, and Bellocchi, Gianni

Published
2023
Full Text
View/download PDF

3. Emissions of biogenic volatile organic compounds from agricultural lands and the impact of land-use and other management practices: A review

Author

Liu, Yang, primary, Ciuraru, Raluca, additional, Abis, Letizia, additional, Amelynck, Crist, additional, Buysse, Pauline, additional, Guenther, Alex, additional, Heinesch, Bernard, additional, Lafouge, Florence, additional, Levavasseur, Florent, additional, Loubet, Benjamin, additional, Voyard, Auriane, additional, and Massad, Raia-Silvia, additional

Published
2024
Full Text
View/download PDF

4. Modelling Exchanges: From the Process Scale to the Regional Scale

Author

Massad, Raia Silvia, Tuzet, Andrée, Personne, Erwan, Bedos, Carole, Beekmann, Matthias, Coll, Isabelle, Drouet, Jean-Louis, Fortems-Cheiney, Audrey, Génermont, Sophie, Loubet, Benjamin, Saint-Jean, Sébastien, Bedos, Carole, editor, Génermont, Sophie, editor, Castell, Jean-François, editor, and Cellier, Pierre, editor

Published
2020
Full Text
View/download PDF

6. Necessary Integrative Approaches

Author

Massad, Raia Silvia, Cellier, Pierre, Bedos, Carole, Lathière, Juliette, de Noblet-Ducoudré, Nathalie, Robin, Paul, Bedos, Carole, editor, Génermont, Sophie, editor, Castell, Jean-François, editor, and Cellier, Pierre, editor

Published
2020
Full Text
View/download PDF

7. Emissions of biogenic volatile organic compounds from agricultural lands and the impact of land-use and other management practices: A review.

Author

Liu, Yang, Ciuraru, Raluca, Abis, Letizia, Amelynck, Crist, Buysse, Pauline, Guenther, Alex, Heinesch, Bernard, Lafouge, Florence, Levavasseur, Florent, Loubet, Benjamin, Voyard, Auriane, and Massad, Raia-Silvia

Subjects
FARMS, VOLATILE organic compounds, CROPS, AGRICULTURAL pollution, RAPESEED, COVER crops
Abstract

Crops and soils are essential sources of biogenic volatile organic compounds (BVOCs) from the agriculture landscape. Agricultural management practices, including species choice, tillage, fertilization, irrigation, and cover crop application, affect soil nutrient levels, crop growth, microbial density and activities, and trigger changes in BVOC emission rates from both crop and soil. A better comprehension of the emission processes and controlling factors can improve model representation, reduce uncertainties, and allow more accurate quantitative estimations of agricultural BVOC emissions. We summarized current knowledge on BVOC emissions from common agricultural crops (oilseed rape, wheat, maize), cover crops, and bare soil under different management practices. The current challenges for improving the representation of agricultural BVOC emissions in models and a conceptual model for estimating BVOC emissions from agricultural land surfaces are discussed. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

12. Crop residue management affects European N2O emission inventories: a multimodel assessment

Author

Carozzi, Marco, Haas, Edwin, Klaus, Butterbach Bahl, Scheer, Clemens, Massad, Raia Silvia, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), and Lebanese Agricultural Research Institute (LARI)

Subjects
[SDE]Environmental Sciences
Published
2021

13. Vertical distribution of crop residues affects nitrous oxide and ammonia emissions from soils

Author

Chandra, Varunesh, Lashermes, Gwenaëlle, Laville, Patricia, Loubet, Benjamin, Massad, Raia Silvia, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Lebanese Agricultural Research Institute (LARI)

Subjects
[SDE]Environmental Sciences
Abstract

Crop residue incorporation in farmland provides organic carbon(C) and nitrogen(N) inputs to soil enhancing carbon sequestration and fertility. The microbial breakdown of this organic matter may result in mineral nitrogen emissions such as nitrous oxide (N2O) and ammonia(NH3). Vertical distribution of residues in the soil can alter these emission characteristics. It is therefore crucial to understand the effects of crop residue’s vertical distribution in soil on these gas fluxes. We performed laboratory incubation of red clover residues with three soils – slightly acidic Swedish soil (SLU) and slightly alkaline (GICOS) and calcareous French soil (Gri EXER). We measured N2O, NH3 and CO2 emissions from this residue incorporated in three locations within soil : surface, mixed in top layer and layered at a depth. High N2O fluxes were observed in the first five days of incubation from residue in all the positions. Mixed modalities of SLU, Gri EXER and GICOS soils had average net cumulative flux of 15.82 kg N ha-1, 1.91 kg N ha-1 and 0.42 kg N ha-1 on day 50 of incubation higher than surface modalities (4.90 kg N ha-1, 1.76 kg N ha-1 and 0.28 kg N ha-1 respectively). Significant NH3 fluxes were measured only from surface positioned residue from day 5 of incubation with average net cumulative flux of 9.47 kg N ha-1, 3.69 kg N ha-1 and 0.94 kg N ha-1 for SLU, Gri EXER and GICOS soils. Sandy SLU soil had higher N2O and NH3 fluxes than fine particled silty Gri EXER and GICOS soils. This showcases the challenge to compromise residue incorporation as organic manure in farmlands to either enhanced greenhouse emission or local pollution due to ammonia.

Published
2021

14. How may climate change affect residue management impacts on soil C stocks and N2O emissions?

Author

Haas, Edwin, Carozzi, Marco, Massad, Raia Silvia, Klaus, Butterbach Bahl, Scheer, Clemens, Werner, Christian, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Lebanese Agricultural Research Institute (LARI), and Heidelberg University

Subjects
[SDE]Environmental Sciences
Published
2021

15. Effects of crop residue management on N2O emissions in European cropping systems

Author

Carozzi, Marco, Haas, Edwin, Scheer, Clemens, Loubet, Benjamin, Butterbach-Bahl, Klaus, Massad, Raia Silvia, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), and Lebanese Agricultural Research Institute (LARI)

Subjects
[SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

19. Soilμ3d project: emergent properties of soil microbial functions from 3d modelling and spatial descriptors of pore scale heterogeneity

Author

Garnier, Patricia, Pot, Valérie, Chenu, Claire, Baveye, Philippe, Montagne, David, Vieuble, Laure, Nunan, Naoise, Raynaud, Xavier, Massad, Raia Silvia, Laville, Patricia, Monga, Olivier, Otten, Wilfred, Portell-Canal, Xavier, Rapaport, Alain, de Dreuzy, Jean-Raynald, Henault, Catherine, Lacoste, Marine, Hecht, Frédéric, Coche, Alexandre, Védère, Charlotte, Mbe, Bruno, EL Mjiyad, Noureddine, Propriétés émergentes des fonctions microbiennes dans les sols : Identification de descripteurs spatiaux de la structure du sol à partir de modélisations 3D à l'échelle des habitats microbiens - - Soilµ-3D2015 - ANR-15-CE01-0006 - AAPG2015 - VALID, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)-Sorbonne Université (SU)-Institut de Recherche pour le Développement (IRD [France-Nord]), Cranfield University, Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Géosciences Rennes (GR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Agroécologie [Dijon], Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Yaoundé [Cameroun], ANR-15-CE01-0006,Soilµ-3D,Propriétés émergentes des fonctions microbiennes dans les sols : Identification de descripteurs spatiaux de la structure du sol à partir de modélisations 3D à l'échelle des habitats microbiens(2015), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Neurosciences Paris Seine (NPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract

International audience; The reduction of greenhouse gas emissions by improving the efficiency of agricultural systems through robust ecologically-based management practices represents the most important challenge facing agriculture. Models are needed to evaluate the effects of soil properties, climate, and agricultural management practices on soil carbon and on the nitrogen transformations responsible for GHG emissions. Models of Carbon and nitrogen cycles in soils need improvements so they can provide more accurate and robust predictions. They use empirical functions which account for the different environmental factors that affect microbial functions. However, these types of function have limitations because they don’t consider the micro heterogeneity of soil at the scale of microorganisms and they cannot describe processes that are connected to each other by complex interactions linked to soil structure. Mechanistic representation of small-scale processes was identified in literature as one of the priorities to improve these global soil organic matter dynamics models.Our previous project showed the importance of the habitat of soil microorganisms, and especially how physical characteristics (pore sizes, connectivity) control the decomposition of organic substrates via experimental microcosm. We have developed a suite of methods and models to visualize in 2D or 3D soil heterogeneity at scales relevant for microorganisms. It has also contributed to the development of three very complementary 3D models able to simulate for the first time the microbial degradation of organic matter at the scale of microhabitats in soil using real 3D images of soils. The goal of this Soilµ3D project is now to go further by using the 3D models resulting from MEPSOM to upscale heterogeneities identified at the scale of microhabitats to the soil profile scale. The aims of the project are to: develop new descriptors of the pore scale 3D soil heterogeneity that explain the fluxes measured at the core scale, use our 3D models to connect the µ-scale heterogeneity and the measured macroscale fluxes, develop new simple models describing the soil micro-heterogeneity and integrating these micro-features into field-scale models.Several improvements have been made to 3D models, such as: i) model parallelization, ii) more compact representation of pore space by ellipsoids as geometric primitives, iii) coupling with Individual based models. Two Literature reviews were written concerning technics of 3D images at small scale (Baveye et al, 2018) and the 3D modelling of soil pores microscopic architecture (Pot et al., 2020) .Modeling scenarios from 3D soil images has shown the importance of the connectivity of water-filled pores in carbon mineralization. The number of clusters of pores filled with water appears to be a relevant indicator of CO2 emissions. This modeling shows that the diffusion of the 3D substrate controls the contact between µorganisms and organic matter and therefore the rates of decomposition. A threshold effect is observed with an increase in the decomposition of organic matter when low substrate concentrations are associated with a high number of bacterial cells compared to a population model.

Published
2021

20. Ensemble modelling of carbon fluxes in grasslands and croplands

Author

Sándor, Renáta, Ehrhardt, Fiona, Grace, Peter, Recous, Sylvie, Smith, Pete, Snow, Val, Soussana, Jean-François, Basso, Bruno, Bhatia, Arti, Brilli, Lorenzo, Doltra, Jordi, Dorich, Christopher D., Doro, Luca, Fitton, Nuala, Grant, Brian, Harrison, Matthew Tom, Kirschbaum, Miko U.F., Klumpp, Katja, Laville, Patricia, Léonard, Joel, Martin, Raphaël, Massad, Raia-Silvia, Moore, Andrew, Myrgiotis, Vasileios, Pattey, Elizabeth, Rolinski, Susanne, Sharp, Joanna, Skiba, Ute, Smith, Ward, Wu, Lianhai, Zhang, Qing, Bellocchi, Gianni, Sándor, Renáta, Ehrhardt, Fiona, Grace, Peter, Recous, Sylvie, Smith, Pete, Snow, Val, Soussana, Jean-François, Basso, Bruno, Bhatia, Arti, Brilli, Lorenzo, Doltra, Jordi, Dorich, Christopher D., Doro, Luca, Fitton, Nuala, Grant, Brian, Harrison, Matthew Tom, Kirschbaum, Miko U.F., Klumpp, Katja, Laville, Patricia, Léonard, Joel, Martin, Raphaël, Massad, Raia-Silvia, Moore, Andrew, Myrgiotis, Vasileios, Pattey, Elizabeth, Rolinski, Susanne, Sharp, Joanna, Skiba, Ute, Smith, Ward, Wu, Lianhai, Zhang, Qing, and Bellocchi, Gianni

Abstract

Croplands and grasslands are agricultural systems that contribute to land–atmosphere exchanges of carbon (C). We evaluated and compared gross primary production (GPP), ecosystem respiration (RECO), net ecosystem exchange (NEE) of CO2, and two derived outputs - C use efficiency (CUE=-NEE/GPP) and C emission intensity (IntC= -NEE/Offtake [grazed or harvested biomass]). The outputs came from 23 models (11 crop-specific, eight grassland-specific, and four models covering both systems) at three cropping sites over several rotations with spring and winter cereals, soybean and rapeseed in Canada, France and India, and two temperate permanent grasslands in France and the United Kingdom. The models were run independently over multi-year simulation periods in five stages (S), either blind with no calibration and initialization data (S1), using historical management and climate for initialization (S2), calibrated against plant data (S3), plant and soil data together (S4), or with the addition of C and N fluxes (S5). Here, we provide a framework to address methodological uncertainties and contextualize results. Most of the models overestimated or underestimated the C fluxes observed during the growing seasons (or the whole years for grasslands), with substantial differences between models. For each simulated variable, changes in the multi-model median (MMM) from S1 to S5 was used as a descriptor of the ensemble performance. Overall, the greatest improvements (MMM approaching the mean of observations) were achieved at S3 or higher calibration stages. For instance, grassland GPP MMM was equal to 1632 g C m−2 yr-1 (S5) while the observed mean was equal to 1763 m-2 yr-1 (average for two sites). Nash-Sutcliffe modelling efficiency coefficients indicated that MMM outperformed individual models in 92.3 % of cases. Our study suggests a cautious use of large-scale, multi-model ensembles to estimate C fluxes in agricultural sites if some site-specific plant and soil observations are avai

Published
2020

21. Ensemble modelling of carbon fluxes in grasslands and croplands

Author

Sándor, Renáta, primary, Ehrhardt, Fiona, additional, Grace, Peter, additional, Recous, Sylvie, additional, Smith, Pete, additional, Snow, Val, additional, Soussana, Jean-François, additional, Basso, Bruno, additional, Bhatia, Arti, additional, Brilli, Lorenzo, additional, Doltra, Jordi, additional, Dorich, Christopher D., additional, Doro, Luca, additional, Fitton, Nuala, additional, Grant, Brian, additional, Harrison, Matthew Tom, additional, Kirschbaum, Miko U.F., additional, Klumpp, Katja, additional, Laville, Patricia, additional, Léonard, Joel, additional, Martin, Raphaël, additional, Massad, Raia-Silvia, additional, Moore, Andrew, additional, Myrgiotis, Vasileios, additional, Pattey, Elizabeth, additional, Rolinski, Susanne, additional, Sharp, Joanna, additional, Skiba, Ute, additional, Smith, Ward, additional, Wu, Lianhai, additional, Zhang, Qing, additional, and Bellocchi, Gianni, additional

Published
2020
Full Text
View/download PDF

22. Quantification of modelling uncertainties in an ensemble of carbon simulations in grasslands and croplands

Author

Sandor, Renata, Bellocchi, Gianni, Ehrhardt, Fiona, Bhatia, A., Brilli, Lorenzo, de Antoni Migliorati, Massimiliano, Carozzi, Marco, Doltra, Jordi, Dorich, Chris, Doro, Luca, Fitton, Nuala, Fuchs, K, Gongadze, Kate, Grace, Pete, Grant, B., Giacomini, S.J., Klumpp, Katja, Léonard, L, Liebig, M., Martin, Raphaël, Massad, Raia Silvia, Merbold, Lutz, Newton, P., Pattey, Elizabeth, Rees, B., Rolinski, Susanne, Sharp, Johanna, Smith, P., Smith, W., Snow, Val, Soussana, Jean-François, Zhang, Q, Recous, Sylvie, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), 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), Agricultural Research Institute, Direction scientifique Environnement, Forêt et Agriculture, Institut National de la Recherche Agronomique (INRA), Indian Agricultural Research Institute (IARI), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Queensland University of Technology, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Catabrian Agricultural Research and Training Center (CIFA), Natural Resource Ecology Laboratory [Fort Collins] (NREL), Colorado State University [Fort Collins] (CSU), Università degli Studi di Sassari, Collège de Direction (CODIR), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA), and CN-MIP

Subjects
flux de carbon, flux de carbone, modélisation, grandes cultures, prairies, ensemble, [SDV]Life Sciences [q-bio], prairie, [SDE]Environmental Sciences, [SDV.IDA]Life Sciences [q-bio]/Food engineering, grande culture, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

23. Effects of climate change in the European croplands and grasslands: productivity, GHG balance and soil carbon storage.

Author

Carozzi, Marco, Martin, Raphael, Klumpp, Katja, and Massad, Raia Silvia

Subjects
GRASSLAND soils, GRASSLANDS, FARMS, CLIMATE change, CARBON in soils, LIFE sciences, CROP rotation
Abstract

The knowledge of the effects of climate change on agro-ecosystems is fundamental to identify local actions aimed to maintain productivity and reduce environmental issues. This study investigates the effects of climate perturbation on the European crop and grassland production systems, combining the finding from two biogeochemical models. Accurate and high-resolution management and pedoclimatic data has been employed. Results has been verified for the period 1978-2004 (historical period) and projected until 2099 with two divergent intensities IPPC's climate projections, RCP4.5 and RCP8. We provided a detailed overview on productivity and the impacts on management (sowing dates, water demand, nitrogen use efficiency). Biogenic GHG budgets (N2O, CH4, CO2) were calculated, including an assessment of their sensitivity to the leading drivers, and the compilation of a net carbon budget over production systems. Results confirmed that a significant reduction of productivity is expected during 2050-2099, caused by the shortening of the length of the plant growing cycle associated to the rising temperatures. This effect was more pronounced for the more pessimistic climate scenario (-13 % for croplands and -7.7 % for grasslands) and for Mediterranean regions, confirming a regionally distributed impact of climate change. Non-CO2 GHG emissions were triggered by rising air temperatures and increased exponentially over the century, being often higher than the CO2 accumulation of the explored agro-ecosystems, which acted as potential C sinks. Emission factor for N2O was 1.82 ± 0.07 % during the historical period, rising up to 2.05 ± 0.11 % for both climate projections. The biomass removal (crop yield, residues exports, mowing and animal intake) converted croplands and grasslands into net C sources (236 ± 107 Tg CO2eq y[sup -1] in the historical period), increasing of more than 20 % during the climate projections. Nonetheless, crop residues demonstrate to be an effective management strategy to overturn the C balance. Although with a marked latitudinal gradient, water demand will double over the next few decades in the European croplands, whereas the benefit in terms of yield will not contribute substantially to balance the C losses due to climate perturbation. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

24. Impact de l’introduction des légumineuses dans les systèmes de culture sur les émissions de protoxyde d’azote

Author

Vericel, Grégory, Dubois, S., Duval, Romain, Flenet, Françis, Fontaine, Laurence, Fourrié, L., Leclerc, Blaise, Justes, Eric, Mary, Bruno, Massad, Raia Silvia, Schneider, A., Tailleur, Aurélie, Cohan, Jean-Pierre, ARVALIS - Institut du Végétal, Institut Technique de la Betterave (ITB), Terres Inovia, Institut Technique de l'Agriculture Biologique (ITAB), Ferme Expérimentale, Institut technique de l'agriculture biologique, UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Unité d'Agronomie de Laon-Reims-Mons (AGRO-LRM), Institut National de la Recherche Agronomique (INRA), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, AgroParisTech, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and Agroressources et Impacts environnementaux (AgroImpact)

Subjects
leaching, crop residues, lixiviation, cultures intermédiaires, [SDV]Life Sciences [q-bio], cultures associées, flux d’azote, cover crops, résidus de culture, nitrogen fluxes, intercropping
Abstract

Ce numéro comprend les articles correspondant aux présentations du Colloque Casdar 2018; Dans un objectif d’atténuation du réchauffement climatique, la mise en place de systèmes de cultureplus autonomes vis-à-vis des engrais minéraux devient incontournable pour réduire les émissions degaz à effet de serre (GES) tout en diminuant le coût de la fertilisation. L’insertion de légumineuses dansces systèmes semble être un levier prometteur pour y parvenir. Les économies d’azote permises pardifférents modes d’introduction de légumineuses et leur impact sur les émissions de GES ont étéestimés et évalués en quantifiant au préalable les flux d’azote dans les systèmes avec ou sanslégumineuses à partir de données issues de dispositifs expérimentaux préexistants, disponibles dans labibliographie ou acquises dans de nouveaux essais. L’introduction de légumineuses présenterégulièrement un impact positif sur la réduction de l’emploi des engrais azotés. Le risqued’augmentation de la lixiviation du nitrate dépend de leur mode d’introduction et de leur place dans lesrotations. Enfin, les émissions mesurées en cultures principales de légumineuses sont généralementtrès significativement réduites en comparaison des cultures fertilisées, cependant la dégradation desrésidus des légumineuses (en culture ou en couverts) peut générer des émissions de N2O corrélées àleur impact sur les flux d’azote, variable selon les conditions pédoclimatiques. Ces résultats devraientpermettre d’élaborer des recommandations pour mieux prendre en compte les légumineuses dans laconception de systèmes de culture plus autonomes vis-à-vis des engrais azotés de synthèse et moinsémetteurs de N2O.

Published
2018

25. Impact de l’introduction des légumineuses dans les systèmes de culture sur les émissions de protoxyde d’azote

Author

Dubois, S., Duval, Romain, Flenet, Françis, Fontaine, Laurence, Fourrié, L., Leclerc, Blaise, Justes, Eric, Mary, Bruno, Massad, Raia Silvia, Schneider, A., Tailleur, Aurélie, Cohan, Jean-Pierre, and Vericel, Grégory

Subjects
flux d’azote, lixiviation, cultures intermédiaires, cultures associées, résidus de culture, nitrogen fluxes, leaching, cover crops, intercropping, crop residues
Abstract

Dans un objectif d’atténuation du réchauffement climatique, la mise en place de systèmes de culture plus autonomes vis-à-vis des engrais minéraux devient incontournable pour réduire les émissions de gaz à effet de serre (GES) tout en diminuant le coût de la fertilisation. L’insertion de légumineuses dans ces systèmes semble être un levier prometteur pour y parvenir. Les économies d’azote permises par différents modes d’introduction de légumineuses et leur impact sur les émissions de GES ont été estimés et évalués en quantifiant au préalable les flux d’azote dans les systèmes avec ou sans légumineuses à partir de données issues de dispositifs expérimentaux préexistants, disponibles dans la bibliographie ou acquises dans de nouveaux essais. L’introduction de légumineuses présente régulièrement un impact positif sur la réduction de l’emploi des engrais azotés. Le risque d’augmentation de la lixiviation du nitrate dépend de leur mode d’introduction et de leur place dans les rotations. Enfin, les émissions mesurées en cultures principales de légumineuses sont généralement très significativement réduites en comparaison des cultures fertilisées, cependant la dégradation des résidus des légumineuses (en culture ou en couverts) peut générer des émissions de N2O corrélées à leur impact sur les flux d’azote, variable selon les conditions pédoclimatiques. Ces résultats devraient permettre d’élaborer des recommandations pour mieux prendre en compte les légumineuses dans la conception de systèmes de culture plus autonomes vis-à-vis des engrais azotés de synthèse et moins émetteurs de N2O., Promoting less dependent cropping systems on mineral fertilizers is necessary to reduce greenhouse gas emissions in order to mitigate their effects on global warming while reducing the cost of fertilization. The insertion of legumes into these systems seems to be a promising mean for achieving this objective. The nitrogen savings allowed by different ways of legumes insertion and their impact on greenhouse gas emissions were estimated and evaluated after quantifying nitrogen fluxes in cropping-systems with and without legumes using data from pre-existing experimental devices, available in the literature or collected in new trials. The introduction of legumes has often a positive impact on reducing the use of nitrogen fertilizers. The risk to increase nitrate leaching depends on the mode of introduction of legumes and their position in crops successions. Finally, measured emissions during legumes main crops are generally very significantly reduced compared to fertilized crops; however the degradation of legumes residues (grown as main crops or cover crops) can generate N2O emissions correlated with their impact on nitrogen fluxes depending on climatic conditions. These results should enable to deliver advices to better take into account legumes in designing cropping systems less dependent on synthetic nitrogen fertilizers and emitting less N2O.

Published
2018

29. Effects of elevated ozone concentration and nitrogen addition on ammonia stomatal compensation point in a poplar clone

Author

Xu, Wen, Shang, Bo, Xu, Yansen, Yuan, Xiangyang, Dore, Anthony J., Zhao, Yuanhong, Massad, Raia-Silvia, Feng, Zhaozhong, Xu, Wen, Shang, Bo, Xu, Yansen, Yuan, Xiangyang, Dore, Anthony J., Zhao, Yuanhong, Massad, Raia-Silvia, and Feng, Zhaozhong

Abstract

The stomatal compensation point of ammonia (χs) is a key factor controlling plant-atmosphere NH3 exchange, which is dependent on the nitrogen (N) supply and varies among plant species. However, knowledge gaps remain concerning the effects of elevated atmospheric N deposition and ozone (O3) on χs for forest species, resulting in large uncertainties in the parameterizations of NH3 incorporated into atmospheric chemistry and transport models (CTMs). Here, we present leaf-scale measurements of χs for hybrid poplar clone ‘546’ (Populusdeltoides cv. 55/56 x P. deltoides cv. Imperial) growing in two N treatments (N0, no N added; N50, 50 kg N ha−1 yr−1 urea fertilizer added) and two O3 treatments (CF, charcoal-filtered air; E-O3, non-filtered air plus 40 ppb) for 105 days. Our results showed that χs was significantly reduced by E-O3 (41%) and elevated N (19%). The interaction of N and O3 was significant, and N can mitigate the negative effects of O3 on χs. Elevated O3 significantly reduced the light-saturated photosynthetic rate (Asat) and chlorophyll (Chl) content and significantly increased intercellular CO2 concentrations (Ci), but had no significant effect on stomatal conductance (gs). By contrast, elevated N did not significantly affect all measured photosynthetic parameters. Overall, χs was significantly and positively correlated with Asat, gs and Chl, whereas a significant and negative relationship was observed between χs and Ci. Our results suggest that O3-induced changes in Asat, Ci and Chl may affect χs. Our findings provide a scientific basis for optimizing parameterizations of χs in CTMs in response to environmental change factors (i.e., elevated N deposition and/or O3) in the future.

Published
2018

30. Impact de l'introduction des légumineuses dans les systèmes de culture sur les émissions de protoxyde d'azote

Author

Véricel, G., Dubois, S., Duval, R., Flénet, F., Fontaine, L., Fourrié, L., Leclerc, B., Justes, Eric, Mary, Bruno, Massad, Raia Silvia, Schneider, A., Tailleur, Aurélie, Cohan, Jean-Pierre, Véricel, G., Dubois, S., Duval, R., Flénet, F., Fontaine, L., Fourrié, L., Leclerc, B., Justes, Eric, Mary, Bruno, Massad, Raia Silvia, Schneider, A., Tailleur, Aurélie, and Cohan, Jean-Pierre

Abstract

Dans un objectif d'atténuation du réchauffement climatique, la mise en place de systèmes de culture plus autonomes vis - à - vis des engrais minéraux devient incontournable pour réduire les émissions de gaz à effet de serre (GES) tout en diminuant le coût de la fertilisation. L'insertion de légumineuses dans ces systèmes semble être un levier prometteur pour y parvenir. Les économies d'azote permises par différents modes d'introduction de légumineuses et leur impact sur les émissions de GES ont été estimés et évalués en quantifiant au préalable les flux d'azote dans les systèmes avec ou sans légumineuses à partir de données issues de dispositifs expérimentaux préexistants, disponibles dans la bibliographie ou acquises dans de nouveaux essais. L'introduction de légumineuses présente régulièrement un impact positif sur la réduction de l'emploi des engrais azotés. Le risque d'augmentation de la lixiviation du nitrate dépend de leur mode d'introduction et de leur place dans les rotations. Enfin, les émissions mesurées en cul tures principales de légumineuses sont généralement très significativement réduites en comparaison des cultures fertilisées, cependant la dégradation des résidus des légumineuses (en culture ou en couverts) peut générer des émissions de N 2 O corrélées à leur impact sur les flux d'azote, variable selon les conditions pédoclimatiques. Ces résultats devraient permettre d'élaborer des recommandations pour mieux prendre en compte les légumineuses dans la conception de systèmes de culture plus autonomes vis - à - vis des engrais azotés de synthèse et moins émetteurs de N 2 0.

Published
2018

31. Evaluation of new flux attribution methodes for mapping N2O emissions at the landscape scale from EC measurements

Author

Grossel, Agnès, Bureau, Jordan, Loubet, Benjamin, Laville, Patricia, Massad, Raia Silvia, Haas, Edwin, Butterbach-Bahl, Klaus, Guimbaud, Christophe, Hénault, Catherine, Unité de Science du Sol (Orléans) (URSols), Institut National de la Recherche Agronomique (INRA), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), 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), Labex Voltaire, ANR Escape, Egide Procope, European Project: 284274, Unité de recherche Science du Sol (USS), Laboratoire de physique et chimie de l'environnement et de l'Espace (LPC2E), UMR 7328 CNRS/Université d'Orléans, Université d'Orléans (UO), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National d’Études Spatiales [Paris] (CNES)

Subjects
protoxyde d'azote, échelle du paysage, [SDE.MCG]Environmental Sciences/Global Changes, greenhouse gases, n2o, chambre de mesure, émission de gaz, méthode de cartographie, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, gaz à effet de serre, covariance eddy, flux de gaz
Abstract

Evaluation of new flux attribution methodes for mapping N2O emissions at the landscape scale from EC measurements. EGU 2017, European Geophysical Union General Assembly 2017

Published
2017

33. Evaluation of new flux attribution methodes for mapping N2O emissions at the landscape scale from EC measurements

Author

Bureau, Jordan, Loubet, Benjamin, Laville, Patricia, Massad, Raia Silvia, Haas, Edwin, Butterbach-Bahl, Klaus, Guimbaud, Christophe, Grossel, Agnès, and Hénault, Catherine

Subjects
protoxyde d'azote, échelle du paysage, Earth Sciences, n2o, chambre de mesure, émission de gaz, méthode de cartographie, gaz à effet de serre, covariance eddy, Milieux et Changements globaux, Sciences de la Terre, flux de gaz
Published
2017

37. Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes

Author

Brilli, Lorenzo, primary, Bechini, Luca, additional, Bindi, Marco, additional, Carozzi, Marco, additional, Cavalli, Daniele, additional, Conant, Richard, additional, Dorich, Cristopher D., additional, Doro, Luca, additional, Ehrhardt, Fiona, additional, Farina, Roberta, additional, Ferrise, Roberto, additional, Fitton, Nuala, additional, Francaviglia, Rosa, additional, Grace, Peter, additional, Iocola, Ileana, additional, Klumpp, Katja, additional, Léonard, Joël, additional, Martin, Raphaël, additional, Massad, Raia Silvia, additional, Recous, Sylvie, additional, Seddaiu, Giovanna, additional, Sharp, Joanna, additional, Smith, Pete, additional, Smith, Ward N., additional, Soussana, Jean-Francois, additional, and Bellocchi, Gianni, additional

Published
2017
Full Text
View/download PDF

38. Impact de l'introduction des légumineuses dans les systèmes de culture sur les émissions de N2O

Author

Cohan, Jean-Pierre, Cadillon, Adeline, Dubois, Sophie, Duval, Rémi, Flenet, Francis, Justes, Eric, Mary, Bruno, Massad, Raia Silvia, PLAZA BONILLA, Daniel, Schneider, Anne, Station Expérimentale de la Jaillière, ARVALIS - Institut du végétal [Paris], Institut Technique de l'Agriculture Biologique (ITAB), Institut Technique de la Betterave (ITB), Département des Etudes opérationnelles, Terres Inovia, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Agroressources et Impacts environnementaux (AgroImpact), Institut National de la Recherche Agronomique (INRA), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris Saclay (COmUE), Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt (Compte d’affectation spéciale « développement agricole et rural »), Comité Français d'Etude et de Développement de la Fertilisation Raisonnée (COMIFER). FRA., and Groupement d’Études Méthodologiques pour l’Analyse des Sols (Gemas). FRA.

Subjects
[SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2015

39. Performances des rotations à base de cultures fourragères en termes de GES et bilan carbone. De quoi parle-t-on ?

Author

Chabbi, Abad, Senapati, Nimai, Giostri, André, Carozzi, Marco, Gastal, Francois, Vertès, Francoise, Recous, Sylvie, Klumpp, Katja, Massad, Raia Silvia, Rumpel, Cornelia, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris-Saclay, Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Institut National de la Recherche Agronomique (INRA), UE 1373 Fourrages Environnement Ruminants Lusignan, Institut National de la Recherche Agronomique (INRA)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Environnement et Agronomie (E.A.)-Biologie et Amélioration des Plantes (BAP)-Fourrages Environnement Ruminants Lusignan (FERLUS), Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Fractionnement des AgroRessources et Environnement - UMR-A 614 (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA)-SFR Condorcet, Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), 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), Institut d'écologie et des sciences de l'environnement de Paris (IEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Fourrages Environnement Ruminants Lusignan (FERLUS), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA), UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Institut d'écologie et des sciences de l'environnement de Paris (iEES), Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), and ProdInra, Archive Ouverte

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio]
Abstract

National audience; Performances des rotations à base de cultures fourragères en termes de GES et bilan carbone. De quoi parle-t-on ?. La fertilité des sols dans les systèmes fourragers. Journées professionnelles de l'association française pour la production fourragère (AFPF)

Published
2015

40. Evaluation of GHGs, carbon stocks and yields from European cropping and pasture systems under two climate change scenarios

Author

Carozzi, Marco, Martin, Raphaël, Klumpp, Katja, Borras, David, Eza, Ecrah Hoba Ulrich, Rumpel, Cornelia, Crème, Alexandra, Le Roux, Xavier, Poly, Franck, Chabbi, Abad, Massad, Raia Silvia, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Institut d'écologie et des sciences de l'environnement de Paris (iEES), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-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), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), 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), Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), AEGES, UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), 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 ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, [SHS] Humanities and Social Sciences, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

National audience

Published
2015

43. Interpretation of GHG emission from mixed crop, grassland and ruminant system, the FARMSIM model

Author

Carozzi, Marco, Martin, Raphaël, Klumpp, Katja, Borras, David, Eza, Ecrah Hoba Ulrich, Rumpel, Cornelia, Creme, Alexandra, Le Roux, Xavier, Poly, Franck, Chabbi, Abad, Massad, Raia Silvia, ProdInra, Migration, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Institut National de la Recherche Agronomique (INRA), Institut d'écologie et des sciences de l'environnement de Paris (iEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Université Paris Saclay (COmUE), 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), Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), 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)

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2015

44. Modelling climate change impact on European crop and livestock systems

Author

Carozzi, Marco, Massad, Raia Silvia, Martin, Raphaël, Shtiliyanova, Anastasiya, Klumpp, Katja, Drouet, Jean-Louis, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Institut National de la Recherche Agronomique (INRA), European Project: 266018,EC:FP7:KBBE,FP7-KBBE-2010-4,ANIMALCHANGE(2011), and Unité de recherche sur l'Ecosystème Prairial (UREP)

Subjects
changement climatique, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, gaz à effet de serre, modélisation, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

45. AEGES: Attenuation Of Greenhouse Gas Emissions In Grasslands

Author

Carozzi, Marco, Massad, Raia Silvia, Rumpel, Cornelia, Creme, Alexandra, Le Roux, Xavier, Poly, Franck, Martin, Raphaël, Klumpp, Katja, Vuichard, Nicolas, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut d'Ecologie et des Sciences de l'Environnement de Paris, Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD [France-Ouest])-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Biogéochimie et écologie des milieux continentaux (Bioemco), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AgroParisTech-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), Ecologie Mircobienne, Institut National de la Recherche Agronomique (INRA), UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), AEGES, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), 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), and Unité de recherche sur l'Ecosystème Prairial (UREP)

Subjects
[SDE.MCG]Environmental Sciences/Global Changes, prairie, gaz à effet de serre, Milieux et Changements globaux, ComputingMilieux_MISCELLANEOUS, modélisation
Abstract

National audience

Published
2014

46. Ozone impact on maize

Author

Bethenod, Olivier, Leitao, Luis, Castell, Jean-François, Massad, Raia Silvia, Tuzet, Andree, Le Thiec, Didier, Repellin, Anne, Bagard, Matthieu, Environnement et Grandes Cultures (EGC), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut d'écologie et des sciences de l'environnement de Paris (iEES), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Institut d'écologie et des sciences de l'environnement de Paris (IEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), and ProdInra, Archive Ouverte

Subjects
tropospheric ozone, Vegetal Biology, photosynthesis, leaf area index, indian corn, plante céréaliere, [SDE.MCG]Environmental Sciences/Global Changes, grain grasses, production végétale, zea mays, [SDE.MCG] Environmental Sciences/Global Changes, ozone, indice de surface foliaire, polluant atmosphérique, plant production, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, photosynthèse, Milieux et Changements globaux, Biologie végétale
Abstract

Ozone (O3) is the air pollutant that currently represents one of the greatest environmental concerns in the troposphere, with particles and nitrogen oxides. Ground levels of O3have increased continuously over the three decades before 2000, at a rate of 0.5-2% per year1. Although a stagnation or slight decrease over Europe and North America was observed since 2000, O3concentration is still increasing in Asia and others world parts2. Based on dose-effect curves, Mills et al. (2007)3identified three crops groups according to ozone sensibility: ozone sensitive crops (such as wheat), moderately sensitive crops (such as maize) and ozone resistant crops (such as barley)4. For a given AOT40, the decrease in leaf photosynthesis (established using the A/Ci curves) is similar in maize and wheat whereas the decrease in grain dry matter is about doubled in wheat compared to maize. To understand this discrepancy, we investigated changes in maize (Zea mays L.) Leaf Area Index (LAI), leaf gas exchanges and harvest index, due to ozone using anew linear field fumigation device. When fumigation occurred before flowering, leaf area decreased up to 15%4. If the LAI remained over 4, the intercepted radiation by the maize plants was maximal. Therefore, in this case, ozone impact on maize intercepted radiation was limited. When fumigation occurred after flowering, the decrease in leaf photosynthesis in the upper leaves of the plants negatively impacted their dry matter production. In response to an AOT40 of 22 mmol mol-1h, leaf photosynthesis decreased by 30% whereas the grain dry matter was reduced by 5% only, as previously observed by Mills et al.(2007)3. In addition, the shoot dry matter production was reduced by more than 11% and the harvest indexes were 51.6 % in control plants and 59 % in fumigated plants. Moreover, ozone-induced moderation of stomatal conductance resulted in a limitation of gase fluxes (CO2, O3) entering in the leaves. This moderation of stomatal conductance was similar to that observed for leaf photosynthesis. Since the stomatal conductance of maize leaves was approximately half that of wheat leaves, the phytotoxic ozone dose (POD)5in maize was half that of wheat POD, for a given AOT40.In conclusion, maize grain production was less impacted by ozone than wheat one due in part to lower maize gs and a grain sink priority.

Published
2014

47. ÉCLAIRE - Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosytems - second periodic report 01/04/2013 to 30/09/2014

Author

Sutton, Mark, Howard, Clare, Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, Bill, Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark, Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Serina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Patrick, Bueker, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulrike, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmina, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, David, Reis, Stefan, Rinne, Janne, Roberts, Erin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katerina, Sheppard, Lucy, Sovic, Jadranka, Skiba, Ute, Smith, Beth, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellingo, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, Zubkova, Elena, Sutton, Mark, Howard, Clare, Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, Bill, Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark, Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Serina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Patrick, Bueker, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulrike, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmina, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, David, Reis, Stefan, Rinne, Janne, Roberts, Erin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katerina, Sheppard, Lucy, Sovic, Jadranka, Skiba, Ute, Smith, Beth, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellingo, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, and Zubkova, Elena

Published
2015

48. ECLAIRE: Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosystems. Project final report

Author

Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Dave, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, Zubkova, Elena, Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Dave, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, and Zubkova, Elena

Abstract

The central goal of ECLAIRE is to assess how climate change will alter the extent to which air pollutants threaten terrestrial ecosystems. Particular attention has been given to nitrogen compounds, especially nitrogen oxides (NOx) and ammonia (NH3), as well as Biogenic Volatile Organic Compounds (BVOCs) in relation to tropospheric ozone (O3) formation, including their interactions with aerosol components. ECLAIRE has combined a broad program of field and laboratory experimentation and modelling of pollution fluxes and ecosystem impacts, advancing both mechanistic understanding and providing support to European policy makers. The central finding of ECLAIRE is that future climate change is expected to worsen the threat of air pollutants on Europe’s ecosystems. Firstly, climate warming is expected to increase the emissions of many trace gases, such as agricultural NH3, the soil component of NOx emissions and key BVOCs. Experimental data and numerical models show how these effects will tend to increase atmospheric N deposition in future. By contrast, the net effect on tropospheric O3 is less clear. This is because parallel increases in atmospheric CO2 concentrations will offset the temperature-driven increase for some BVOCs, such as isoprene. By contrast, there is currently insufficient evidence to be confident that CO2 will offset anticipated climate increases in monoterpene emissions. Secondly, climate warming is found to be likely to increase the vulnerability of ecosystems towards air pollutant exposure or atmospheric deposition. Such effects may occur as a consequence of combined perturbation, as well as through specific interactions, such as between drought, O3, N and aerosol exposure. These combined effects of climate change are expected to offset part of the benefit of current emissions control policies. Unless decisive mitigation actions are taken, it is anticipated that ongoing climate warming will increase agricultural and other biogenic emissions, posing a c

Published
2015

49. ECLAIRE third periodic report

Author

Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibeke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana Dzaja, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Davie, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, Van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Kruit, Roy Wichink, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, Zubkova, Elena, Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibeke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana Dzaja, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Davie, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, Van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Kruit, Roy Wichink, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, and Zubkova, Elena

Abstract

The ÉCLAIRE project (Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosystems) is a four year (2011-2015) project funded by the EU's Seventh Framework Programme for Research and Technological Development (FP7).

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results