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Author Ferrise, R.; Bindi, M.; Acutis, M.; Bellocchi, G.
Title Fuzzy-logic based multi-site crop model evaluation in Europe Type Conference Article
Year 2016 Publication Abbreviated Journal
Volume Issue Pages
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Corporate Author Thesis
Publisher Place of Publication Berlin (Germany) Editor
Language Summary Language Original Title
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ISSN ISBN Medium poster
Area Expedition Conference International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany
Notes (up) Approved no
Call Number MA @ admin @ Serial 4916
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Author Brilli, L.; Ferrise, R.; Dibari, C.; Bindi, M.; Bellocchi, G.
Title Needs on model improvement Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages XC1.1-D
Keywords
Abstract The need to answer new scientific questions can be satisfied by an increased knowledge of physiological mechanisms which, in turn, can be used for improving the accuracy of simulations of process-based models. In this context, this report highlights areas that need to be further improved to facilitate the operational use of simulation models. It describes missing approaches within simulation models which, if implemented, would likely improve the representation of the dynamics of processes underlying different compartments of crop and grassland systems (e.g. plant growth and development, yield production, GHG emissions), as well as of the livestock production systems.  The following rationale has been used in the organization of this report. We first briefly introduced the need to improve the reliability of existing models. Then, we indicated climate change and its influence on the global carbon balance as the main issue to be addressed by existing crop and grassland (section 2), and livestock (section 3) models. In section 2, among the major aspects that if implemented may reduce the uncertainty inherent to model outputs, we suggested: i) quantifying the effects of climate extremes on biological systems; ii) modelling of multi-species sward; iii) coupling of pest and disease sub-models; iv) improvement of the carry-over effect. In section 3, as the most important aspects to consider in livestock models we indicated: i) impacts and dynamics of pathogens and disease; ii) heat stress effects on livestock; iii) effects on grassland productivity and nutritional values; iv) improvement of GHG emissions dynamics.  In Section 4, remarks are made concerning the need to implement the suggested aspects into the existing models.
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Notes (up) Approved no
Call Number MA @ admin @ Serial 4938
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Author Bellocchi, G., B.; Brilli, L.; Ferrise, R.; Dibari, C.; Bindi, M.
Title Model comparison and improvement: Links established with other consortia Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages XC1.3-D
Keywords
Abstract XC1 has established links to other research activities and consortia on model comparison and improvement. They include the global initiatives AgMIP (http://www.agmip.org ) and GRA (http://www.globalresearchalliance.org), and the EU-FP7 project MODEXTREME (http://modextreme.org ). These links have allowed sharing and communication of recent results and methods, and have created opportunities for future research calls.
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Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium Report
Area Expedition Conference
Notes (up) Approved no
Call Number MA @ admin @ Serial 4941
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Author Köchy, M.; Bishop, J.; Lehtonen, H.; Scollan, N.; Webber, H.; Zimmermann, A.; Bellocchi, G.; Bannink, A.; Biewald, A.; Ferrise, R.; Helming, K.; Kipling, R.P.; Milford, A.; Özkan Gülzari, Ş.; Ruiz-Ramos, M.; Curth-van Middelkoop, J.
Title Challenges and research gaps in the area of integrated climate change risk assessment for European agriculture and food security Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages H0.1-D
Keywords
Abstract Priorities in addressing research gaps and challenges should follow the order of im­por­tance, which in itself would be a matter of defining goals and metrics of importance, e.g. the extent, impact and likelihood of occurrence. For improving assessments of cli­mate change impacts on agriculture for achieving food security and other sustainable develop­ment goals across the European continent, the most important research gaps and challen­ges appear to be the agreement on goals with a wide range of stakeholders from policy, science, producers and society, better reflection of political and societal prefer­ences in the modelling process, and the reflection of economic decisions in farm manage­ment within models. These and other challenges could be approached in phase 3 of MACSUR.
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Publisher Place of Publication Editor
Language Summary Language Original Title
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Area Expedition Conference
Notes (up) Approved no
Call Number MA @ admin @ Serial 4950
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Author Eza, U.; Shtiliyanova, A.; Borras, D.; Bellocchi, G.; Carrère, P.; Martin, R.
Title An open platform to assess vulnerabilities to climate change: An application to agricultural systems Type Journal Article
Year 2015 Publication Ecological Informatics Abbreviated Journal Ecological Informatics
Volume 30 Issue Pages 389-396
Keywords climate change; grasslands; modeling platform; vulnerability assessment; pasture simulation-model; software component; solar-radiation; crop production; change impacts; adaptation; indicator; makers
Abstract Numerous climate futures are now available from global climate models. Translation of climate data such as precipitation and temperatures into ecologically meaningful outputs for managers and planners is the next frontier. We describe a model-based open platform to assess vulnerabilities of agricultural systems to climate change on pixel-wise data. The platform includes a simulation modeling engine and is suited to work with NetCDF format of input and output files. In a case study covering a region (Auvergne) in the Massif Central of France, the platform is configured to characterize climate (occurrence of arid conditions in historical and projected climate records), soils and human management, and is then used to assess the vulnerability to climate change of grassland productivity (downscaled to a fine scale). We demonstrate how using climate time series, and process-based simulations vulnerabilities can be defined at fine spatial scales relevant to farmers and land managers, and can be incorporated into management frameworks. (C) 2015 Elsevier B.V. All rights reserved.
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Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN 1574-9541 ISBN Medium Article
Area Expedition Conference
Notes (up) CropM LiveM, ft_macsur Approved no
Call Number MA @ admin @ Serial 4708
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