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Author |
Kozyra, J.; Nieróbca, A.; Zylowska, K. |
Title |
Changes in winter wheat phenology in Poland during the years 1975-2011 |
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Conference Article |
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2014 |
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CropM |
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XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29 |
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MA @ admin @ |
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2572 |
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Author |
Twardy, S. |
Title |
The ecological potential – sustainable development of rural areas in the Carpathians |
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Conference Article |
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2012 |
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LiveM; CropM |
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Third International Mountain Forum entitled Innovation in Mountainous Regions. Zakopane, Poland., 2012-10-10 to 2012-10-12 |
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MA @ admin @ |
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2862 |
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Nendel, C.; Wieland, R.; Mirschel, W.; Specka, X.; Kersebaum, K.-C. |
Title |
Die Simulation von Winterweizenerträgen in Thüringen unter Verwendung von meteorologischen Daten unterschiedlicher räumlicher Auflösung |
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Conference Article |
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2013 |
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CropM |
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33. GIL-Jahrestagung in Potsdam 2013 - Massendatenmanagement in der Agrar- und Ernährungswirtschaft, 2013-02-21 to 2013-02-21 |
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MA @ admin @ |
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2680 |
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Ventrella, D.; Giglio, L.; Charfeddine, M. |
Title |
Climate change and nitrogen fertilization for winter durum wheat and tomato cultivated in Southern Italy |
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Conference Article |
Year |
2014 |
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CropM |
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18th Nitrogen Workshop. The nitrogen challenge: building a blueprint for nitrogen use efficiency and food security, 2014-06-30 to 2014-07-03 |
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MA @ admin @ |
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2878 |
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Zhao, G.; Hoffmann, H.; van Bussel, L.G.J.; Enders, A.; Specka, X.; Sosa, C.; Yeluripati, J.; Tao, F.L.; Constantin, J.; Raynal, H.; Teixeira, E.; Grosz, B.; Doro, L.; Zhao, Z.G.; Nendel, C.; Kiese, R.; Eckersten, H.; Haas, E.; Vanuytrecht, E.; Wang, E.; Kuhnert, M.; Trombi, G.; Moriondo, M.; Bindi, M.; Lewan, E.; Bach, M.; Kersebaum, K.C.; Rotter, R.; Roggero, P.P.; Wallach, D.; Cammarano, D.; Asseng, S.; Krauss, G.; Siebert, S.; Gaiser, T.; Ewert, F. |
Title |
Effect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables |
Type |
Journal Article |
Year |
2015 |
Publication |
Climate Research |
Abbreviated Journal |
Clim. Res. |
Volume |
65 |
Issue |
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Pages |
141-157 |
Keywords |
crop model; model comparison; spatial resolution; data aggregation; spatial heterogeneity; scaling; climate-change scenarios; sub-saharan africa; winter-wheat; spatial-resolution; yield response; input data; systems simulation; large-scale; soil data; part i |
Abstract |
We assessed the weather data aggregation effect (DAE) on the simulation of cropping systems for different crops, response variables, and production conditions. Using 13 process-based crop models and the ensemble mean, we simulated 30 yr continuous cropping systems for 2 crops (winter wheat and silage maize) under 3 production conditions for the state of North Rhine-Westphalia, Germany. The DAE was evaluated for 5 weather data resolutions (i.e. 1, 10, 25, 50, and 100 km) for 3 response variables including yield, growing season evapotranspiration, and water use efficiency. Five metrics, viz. the spatial bias (Delta), average absolute deviation (AAD), relative AAD, root mean squared error (RMSE), and relative RMSE, were used to evaluate the DAE on both the input weather data and simulated results. For weather data, we found that data aggregation narrowed the spatial variability but widened the., especially across mountainous areas. The DAE on loss of spatial heterogeneity and hotspots was stronger than on the average changes over the region. The DAE increased when coarsening the spatial resolution of the input weather data. The DAE varied considerably across different models, but changed only slightly for different production conditions and crops. We conclude that if spatially detailed information is essential for local management decision, higher resolution is desirable to adequately capture the spatial variability for heterogeneous regions. The required resolution depends on the choice of the model as well as the environmental condition of the study area. |
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English |
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0936-577x |
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CropM, ft_macsur |
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MA @ admin @ |
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4754 |
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