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Gianni Bellocchi Research Director at INRA

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Gianni Bellocchi Research Director at INRA MODelling vegetation response to EXTREMe Events Gianni Bellocchi Research Director at INRA Clermont-Ferrand (France) Brussels (Belgium), 27/06/2016 1 Project outline (November 2013-October 2016) • Challenge: – To help the European (and non-European) agriculture to face extreme weather events by improving the capability of biophysical models simulating plant responses to integrate weather extremes (such as heat waves, cold shocks, droughts, frost)? • Approaches: – Development of generically usable software units implementing libraries of models – Extension of the multi-model platform for plant growth and development simulations (BioMA) used by the European Commission Joint Research Centre (MARS: Monitoring Agricultural ResourceS) • Main objectives: – Improve yield monitoring and forecasting systems (scientific) – Novel (reusable) libraries of models (technological) 2 United Kingdom Denmark United Ukraine Switzerland France Portugal Italy States Greece China Spain Consortium partners Brazil South Africa (18 organizations, 14 countries) Argentine Research institutes (eight) Management consulting company National Institute for Agricultural INRA-Tranfert (France) Research (France) Small-medium enterprise Agricultural Research Council Softeco Sismat (Italy) (Italy) International organization Agroscope Reckenholz-Tänikon Food and Agriculture Organization Research Station (Switzerland) Universities (seven) Danish Meteorological Institute (Denmark) University of Cordoba (Spain) Brazilian Agricultural Research University of Lisbon (Portugal) Corporation (Brazil) University of Milan (Italy) Ukrainian Hydrometeorological University of East Anglia (United Institute (Ukraine) Kingdom) National Agricultural Technology University of Pretoria (South Africa) Institute (Argentina) Democritus University of Thrace Chinese Academy of Agricultural (Greece) 3 Sciences (People’s Republic of Washington State University (USA) China) Project rationale Scientific knowledge Process models Yield monitoring Plant processes and forecast Policy-making Extreme events Food security Climate scenarios Societal question Knowledge transfer Modelling solutions Inputs (climate, soil, management) Initial values PaSim GRAPE CropSyst AQUACROP Parameters OLIVECAN WARM WOFOST … Outputs Grassland (yield, aboveground biomass, flowering date, …) Tree Crop Field datasets in MODEXTREME 6 validation calibration Fig. 4 – ComparisonDurum between measured biomass and simulated grain yield and biomass by Fig. 1 – Relationship between grain yield /biomass with rainfall. Wofost andwheat Wofost-Modextreme. simulations in Southern Fig. 1 – Relationship between grain yield /biomass with rainfall. Fig. 4 – Comparison between measured biomass and simulated grain yield and biomass by Italy Wofost and Wofost-Modextreme. existing modified Observed Crop model data WOFOST7 C Yield biomass C CX CX frequent cut infrequent cut WD WD Manipulation of precipitation and temperature - Theix PaSim WDXGrassland WDX model simulations Observations Existing PaSim Modified PaSim in Central France Observational flux site - Grassland Laqueuille 8 extensive grazing Concerted network (FAO) Institutional (specific) decision-makers (European Commission Issues Strategic Joint Research Centre and collaboration collaboration Directorate for agriculture) Stakeholderpower Independent (local) actors Institutional (assorted) decision-makers stakeholders of (European Commission Dialogue & Strategic advisory Directorates for climate, issues advisory & innovation environment, energy and Diversity research) Scope of participation Diversity of stakeholders Stakeholder platform 9 Publications 10 JRC-MARS agricultural yield forecasting with the platform BioMA There is no doubt that research applications in crop/grassland/tree modelling will continue, but for such applications to sustain long- term interest policy applications need to be developed and applied Next MODEXTREME workshops DG AGRI - LUNCHTIME SESSION September 20, 2016 12 Brussels, BELGIUM This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement n° 613817.2013-2016 [email protected] .
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  • Monthly Storminess Over the Po River Basin During the Past Millennium (800–2018 CE) Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
    Monthly storminess over the Po River Basin during the past millennium (800–2018 CE) Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi To cite this version: Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi. Monthly storminess over the Po River Basin during the past millennium (800–2018 CE). Environmental Research Communications, IOP Science, 2020, 2 (3), pp.031004. 10.1088/2515-7620/ab7ee9. hal-03082597 HAL Id: hal-03082597 https://hal.archives-ouvertes.fr/hal-03082597 Submitted on 18 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. LETTER • OPEN ACCESS Recent citations Monthly storminess over the Po River Basin during - Historical predictability of rainfall erosivity: a reconstruction for monitoring extremes the past millennium (800–2018 CE) over Northern Italy (1500–2019) Nazzareno Diodato et al To cite this article: Nazzareno Diodato et al 2020 Environ. Res. Commun. 2 031004 View the article online for updates and enhancements. This content was downloaded from IP address 147.100.179.233 on 18/12/2020
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