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Zander, P. |
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Modelling regional agricultural land use and climate change adaptation strategies in 4 case study regions Northern Germany |
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2015 |
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FACCE MACSUR Reports |
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4 |
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SP4-22 |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway |
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MA @ admin @ |
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2212 |
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Moriondo, M.; Ferrise, R.; Trombi, G.; Brilli, L.; Dibari, C.; Bindi, M. |
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Title |
Modelling olive trees and grapevines in a changing climate |
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2015 |
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Environmental Modelling & Software |
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Env. Model. Softw. |
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72 |
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387-401 |
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tree crops; climate change; simulation models; crop yield; vitis-vinifera l.; air co2 enrichment; soil-water content; elevated co2; mediterranean basin; cropping systems; growth; yield; carbon; simulation |
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The models developed for simulating olive tree and grapevine yields were reviewed by focussing on the major limitations of these models for their application in a changing climate. Empirical models, which exploit the statistical relationship between climate and yield, and process based models, where crop behaviour is defined by a range of relationships describing the main plant processes, were considered. The results highlighted that the application of empirical models to future climatic conditions (i.e. future climate scenarios) is unreliable since important statistical approaches and predictors are still lacking. While process-based models have the potential for application in climate-change impact assessments, our analysis demonstrated how the simulation of many processes affected by warmer and CO2-enriched conditions may give rise to important biases. Conversely, some crop model improvements could be applied at this stage since specific sub-models accounting for the effect of elevated temperatures and CO2 concentration were already developed. (C) 2014 Elsevier Ltd. All rights reserved. |
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1364-8152 |
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CropM, ftnotmacsur |
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MA @ admin @ |
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4691 |
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Bindi, M.; Palosuo, T.; Trnka, M.; Semenov, M.A. |
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Modelling climate change impacts on crop production for food security INTRODUCTION |
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2015 |
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Climate Research |
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Clim. Res. |
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65 |
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3-5 |
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Crop production; Climate change impact and adaptation assessments; Upscaling; Model ensembles |
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Process-based crop models that synthesise the latest scientific understanding of biophysical processes are currently the primary scientific tools available to assess potential impacts of climate change on crop production. Important obstacles are still present, however, and must be overcome for improving crop modelling application in integrated assessments of risk, of sustainability and of crop-production resilience in the face of climate change (e.g. uncertainty analysis, model integration, etc.). The research networks MACSUR and AGMIP organised the CropM International Symposium and Workshop in Oslo, on 10-12 February 2014, and present this CR Special, discussing the state-of-the-art-as well as future perspectives-of crop modelling applications in climate change risk assessment, including the challenges of integrated assessments for the agricultural sector. |
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2016-10-31 |
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0936-577x |
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Editorial Material |
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CropM, ftnotmacsur |
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MA @ admin @ |
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4785 |
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Kirchner, M.; Schmid, E.; Mitter, H.; Schönhart, M. |
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Modeling the Impacts of Climate Change and Market Integration on Agricultural Production and Land Use Management in Austria |
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2015 |
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IIASA Interim Report Young Scientists Summer Program |
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TradeM C6 - |
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MA @ admin @ |
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2065 |
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Dell’Unto, D. |
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Modeling the effects of Climate Change on dairy farms: an integration of livestock and economic models |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-16 |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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MA @ admin @ |
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2131 |
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