Statistical regression models for assessing climate impacts on crop yields: A validation study for winter wheat and silage maize in Germany
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- 作者：Christoph Gornott ; gornott@pik-potsdam.de" class="auth_mail" title="E-mail the corresponding author ; Frank Wechsung
- 关键词：Statistical crop yield models ; Climate impacts ; Yield changes ; Winter wheat ; Silage maize ; Germany
- 刊名：Agricultural and Forest Meteorology
- 出版年：2016
- 出版时间：15 February 2016
- 年：2016
- 卷：217
- 期：Complete
- 页码：89-100
- 全文大小：4036 K
文摘
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Three statistical models are validated for yield projections of wheat and maize.
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Inter-annual changes of climate and management variables are combined in the models.
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The usage of relative climate changes in the crop models allows biased climate data.
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Spatial parameter distributions capture climate impacts on growth phases.
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The separate time series models perform best when validated for Germany.