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David Leclere joined the Ecosystems Services and Management (ESM) Program in 2012 as a postdoctoral research scholar. His current research interests include the joint use of biophysical and optimization models to analyze the links between agricultural land, its management, and its physical environment. By means of enhancing and linking large-scale assessment models, his research focus will be put on developing integrated assessments of the interaction between agricultural activities, the climate and national to supranational policies.
Dr. Leclere obtained his MSc degree in physics from Paris 11 & Paris 13 Universities and his PhD in environmental sciences from the AgroParisTech in France, in collaboration with the French Climate and Environmental Sciences Laboratory (IPSL/LSCE, UMR CEA/CNRS/UVSQ) and the French Public Economics Laboratory at INRA (UMR EcoPub INRA/AgroParisTech). Within his PhD thesis, he considered the impact of climate change over European agricultural supply by means of integrated simulation tools. He specifically focused on the effect of accounting for the heterogeneity of the physical environment of agricultural producers on larger scale outcomes such as EU-aggregated agricultural supply, GHG emissions and water withdrawal, through processes typical of the farm scale.
Last update: 06-FEB-2015
Baker JS, Havlik P, Beach R, Leclere D, Schmid E, Valin H, Cole J, Creason J, et al. (2018). Evaluating the effects of climate change on US agricultural systems: sensitivity to regional impact and trade expansion scenarios. Environmental Research Letters 13 (6): e064019. DOI:10.1088/1748-9326/aac1c2.
Leclere D, Obersteiner M, Alkemade R, Almond R, Barrett M, Bunting G, Burgess N, Butchart S, et al. (2018). Towards pathways bending the curve terrestrial biodiversity trends within the 21st century. IIASA
Byers E, Gidden M, Leclere D, Burek P, Ebi KL, Greve P, Grey D, Havlik P, et al. (2018). Global exposure and vulnerability to multi-sector development and climate change hotspots. Environmental Research Letters 13: e055012. DOI:10.1088/1748-9326/aabf45.
Kim H, Rosa IMD, Alkemade R, Leadley P, Hurtt G, Popp A, van Vuuren D, Anthoni P, et al. (2018). A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios. bioRxiv: 1-37. DOI:10.1101/300632. (Submitted)
Deppermann A, Balkovic J, Bundle S-C, Di Fulvio F, Havlik P, Leclere D, Lesiv M, Prishchepov A, et al. (2018). Increasing crop production in Russia and Ukraine—regional and global impacts from intensification and recultivation. Environmental Research Letters 13 (2): e025008. DOI:10.1088/1748-9326/aaa4a4.
Ermolieva T, Ermoliev Y, Havlik P, Mosnier A, Leclere D, Fritz S, Valin H, Obersteiner M, et al. (2017). Dynamic Merge of the Global and Local Models for Sustainable Land Use Planning with Regard for Global Projections from GLOBIOM and Local Technical–Economic Feasibility and Resource Constraints. Cybernetics and Systems Analysis 53 (2): 176-185. DOI:10.1007/s10559-017-9917-7.
Schipfer F, Kranzl L, Leclere D, Leduc S, Forsell N, & Valin H (2017). Advanced biomaterials scenarios for the EU28 up to 2050 and their respective biomass demand. Biomass and Bioenergy 96: 19-27. DOI:10.1016/j.biombioe.2016.11.002.
Ermoliev Y, Ermolieva T, Havlik P, Mosnier A, Leclere D, Fritz S, Obersteiner M, Kyryzyuk S, et al. (2017). Robust downscaling approaches to disaggregation of data and projections under uncertainties: Case of land use and land use change systems. Cybernetics and Systems analysis 53 (1): 31-41.
Özkan Ş, Vitali A, Lacetera N, Amon B, Bannink A, Bartley DJ, Blanco-Penedo I, de Haas Y, et al. (2016). Challenges and priorities for modelling livestock health and pathogens in the context of climate change. Environmental Research 151: 130-144. DOI:10.1016/j.envres.2016.07.033.
Ermolieva T, Havlík P, Ermoliev Y, Mosnier A, Obersteiner M, Leclère D, Khabarov N, Valin H, et al. (2016). Integrated Management of Land Use Systems under Systemic Risks and Security Targets: A Stochastic Global Biosphere Management Model. Journal of Agricultural Economics 67 (3): 584-601. DOI:10.1111/1477-9552.12173.
Leclere D & Havlik P (2016). Modelling heat stress on livestock: how can we reach long-term and global coverage? FACCE MACSUR Reports 8: SP-8.
Leclère D, Azevedo L, Skalsky R, Balkovič J, & Havlik P (2016). Towards systematic evaluation of crop model outputs for global land-use models. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.
Ermolieva T, Havlik P, Yermoliev Y, Mosnier A, Obersteiner M, Leclère D, Khabarov N, Valin H, et al. (2015). Integrated Management of Land-use Systems under Systemic Risks and Food-(bio)energy-water-environmental Security Targets: A Stochastic Global Biosphere Management Model. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Havlik P, Valin H, Gusti M, Schmid E, Leclère D, Forsell N, Herrero M, Khabarov N, et al. (2015). Climate change impacts and mitigation in the developing world: An Integrated Assessment of the Agriculture and Forestry Sectors. Policy Research Working Paper No. WPS 7477. The World Bank Group
Havlik P, Valin H, Mosnier A, Forsell N, Frank S, Leclère D, Palazzo A, Ermolieva T, et al. (2015). Integrated Multi-scale Modeling Framework for Assessment of Land-use Related Challenges under Global Change. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Krisztin T, Havlik P, Leclère D, & Moreau I (2015). Global High-resolution Land-use Change Projections: A Bayesian Multinomial Logit Downscaling Approach Incorporating Model Uncertainty and Spatial Effects. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Leclère D, Azevedo L, Skalsky R, Balkovič J, Havlik P, & Obersteiner M (2015). Towards Systematic Evaluation of Crop Model Outputs for Global Land-use Models. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Yermoliev Y, Ermolieva T, Havlik P, Mosnier A, Obersteiner M, Leclère D, Fritz S, Kyryzyuk S, et al. (2015). Robust Rescaling Methods for Integrated Water, Food, and Energy Security Management under Systemic Risks and Uncertainty. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Havlik P, Leclère D, Valin H, Herrero M, Schmid E, Soussana JF, Mueller C, & Obersteiner M (2015). Chapter 6: Global climate change, food supply and livestock production systems: A bioeconomic analysis. In: Climate Change and Food Systems: Global assessments and implications for food security and trade. Eds. Elbehri, A., pp. 178-197 Rome: FAO. ISBN 978-92-5-108699-5
Ermolieva TY, Ermoliev YM, Havlik P, Mosnier A, Leclère D, Kraxner F, Khabarov N, & Obersteiner M (2015). Systems analysis of robust strategic decisions to plan secure food, energy, and water provision based on the stochastic GLOBIOM model. Cybernetics and Systems Analysis 51 (1): 125-133. DOI:10.1007/s10559-015-9704-2.
Leclère D, Havlik P, Fuss S, Schmid E, Mosnier A, Walsh B, Valin H, Herrero M, et al. (2014). Climate change induced transformations of agricultural systems: insights from a global model. Environmental Research Letters 9 (12): no.124018. DOI:10.1088/1748-9326/9/12/124018.
Ermoliev Y, Ermolieva T, Havlik P, Mosnier A, Leclère D, Obersteiner M, & Kostyuchenko Y (2014). Estimating global-local dynamics of land use systems by downscaling from GLOBIOM model. In: Integrated Management, Security and Robustness. Eds. Zagorodny, AG, Ermoliev, YM & Bogdanov, VL, NASU & Innovation Center of the NASU. ISBN 978-966-02-7376-4
Ermolieva T, Ermoliev Y, Havlik P, Mosnier A, Fuss S, Leclère D, Khabarov N, & Obersteiner M (2014). Systems analysis of strategic decisions for planning secure food, energy, water provision based on stochastic GLOBIOM. In: Integrated Management, Security and Robustness. Eds. Zagorodny, AG, Ermoliev, YM & Bogdanov, VL, NASU & Innovation Center of the NASU. ISBN 978-966-02-7376-4
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