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Author |
Bojar, W.; Knopik, L. |
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Title |
Application of Markov chains approach for expecting extreme precipitation changes having impact on food supply |
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Conference Article |
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Year |
2014 |
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TradeM |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, Hurdalsjøen, Norway, 2014-11-25 to 2014-11-27 |
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no |
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MA @ admin @ |
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2329 |
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Author |
Bojar, W.; Sinabell, F.; Verburg, R. |
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Title |
Inventarisation of TradeM models |
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Conference Article |
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Year |
2012 |
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TradeM |
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Kickoff Meeting and Workshop: Modelling, European Agriculture with Climate Change for Food Security, 2012-10-15 to 2012-10-16 |
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no |
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Call Number |
MA @ admin @ |
Serial |
2331 |
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Author |
Bojar, W.; Sinabell, F.; Verburg, R. |
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Title |
Economic and Trade Models to Analyze Climate Change Risk and Food Security for European Agriculture – A Survey |
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Conference Article |
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Year |
2013 |
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TradeM |
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MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t |
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no |
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Call Number |
MA @ admin @ |
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2332 |
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Author |
Bojar, W.; Leszek, K., Jacek Zarski, Wojciech Zarski, Cezary Slawinski, Piotr Baranowski |
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Title |
Integrating TradeM and CropM MACSUR models for regional case studies in Poland |
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Conference Article |
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2013 |
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TradeM |
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MACSUR TradeM Workshop on Global Food Security Challenges – European Research approaches. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, 2013-11-18 to 2013-11-20 |
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no |
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Call Number |
MA @ admin @ |
Serial |
2330 |
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Author |
Webber, H.; Ewert, F.; Kimball, B.A.; Siebert, S.; White, J.W.; Wall, G.W.; Ottman, M.J.; Trawally, D.N.A.; Gaiser, T. |
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Title |
Simulating canopy temperature for modelling heat stress in cereals |
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Journal Article |
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Year |
2016 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
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Volume |
77 |
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143-155 |
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Keywords |
canopy temperature; heat stress; cereals; crop models; profile relationships; crop production; climate-change; spring wheat; field plots; growth; maize; water; yields; variability |
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Abstract |
Crop models must be improved to account for the effects of heat stress events on crop yields. To date, most approaches in crop models use air temperature to define heat stress intensity as the cumulative sum of thermal times (TT) above a high temperature threshold during a sensitive period for yield formation. However, observational evidence indicates that crop canopy temperature better explains yield reductions associated with high temperature events than air temperature does. This study presents a canopy level energy balance using Monin ObukhovSimilarity Theory (MOST) with simplifications about the canopy resistance that render it suitable for application in crop models and other models of the plant environment. The model is evaluated for a uniform irrigated wheat canopy in Arizona and rainfed maize in Burkina Faso. No single variable regression relationships for key explanatory variables were found that were consistent across sowing dates to explain the deviation of canopy temperature from air temperature. Finally, thermal times determined with simulated canopy temperatures were able to reproduce thermal times calculated with observed canopy temperature, whereas those determined with air temperatures were not. (C) 2015 Elsevier Ltd. All rights reserved. |
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English |
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1364-8152 |
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Notes |
CropM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4730 |
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