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Øygarden, L.; Höglind, M.; Harstad, M.; Hoveid, Ø. |
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Modelling European Agriculture with Climate change for food security |
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2013 |
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CropM |
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Bioforsk conference 2013. Proceedings in; Bioforsk Fokus Vol. 8 Nr 2. 2013. pp 372-374. Editors; Erling Fløistad & Morten Gunther. 390 pp. ISBN 978-82-17-00998-6., 2013-02-06 to 2013-02-07 |
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MA @ admin @ |
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2689 |
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Krzyszczak, J. |
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Title |
Modelling of CO2 exchange in cultivated field |
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2013 |
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Summer school: Flux measurement techniques for non CO2 GHG: methods, sensors, databases and modelling, 2013-05-04 to 2013-05-12 |
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MA @ admin @ |
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2575 |
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Author |
Lazar, C. |
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Modelling of crop growth and development as an instrument for analysis of orientations in agricultural research in the context of climate changes (context and opinions) In Romanian: Modelarea cresterii si dezvoltarii plantelor de cultura ca instrument de analiza a directiilor de cercetare agricola în contextul schimbarilor climatic) |
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2012 |
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CropM |
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Workshop on climate change organized by Romanian Academy of Sciences (Bucharest, Romania), 2012-11-23 to 2012-11-23 |
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no |
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MA @ admin @ |
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2587 |
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Moriondo, M.; Ferrise, R.; Trombi, G.; Brilli, L.; Dibari, C.; Bindi, M. |
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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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English |
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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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Author |
Semenov, M.A. |
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Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe |
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2013 |
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InterDrought IV, Perth, Western Australia, 2013-09-02 to 2013-09-06 |
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MA @ admin @ |
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2818 |
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