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	A review on statistical models for identifying climate contributions to crop yields
	Zhang Z.
	2013
关键词	climate change crop yield influence adaptation statistical model rice yields food security china temperature variability impacts trends wheat agriculture responses
英文摘要	Statistical models using historical data on crop yields and weather to calibrate relatively simple regression equations have been widely and extensively applied in previous studies, and have provided a common alternative to process-based models, which require extensive input data on cultivar, management, and soil conditions. However, very few studies had been conducted to review systematically the previous statistical models for indentifying climate contributions to crop yields. This paper introduces three main statistical methods, i.e., time-series model, cross-section model and panel model, which have been used to identify such issues in the field of agrometeorology. Generally, research spatial scale could be categorized into two types using statistical models, including site scale and regional scale (e.g. global scale, national scale, provincial scale and county scale). Four issues exist in identifying response sensitivity of crop yields to climate change by statistical models. The issues include the extent of spatial and temporal scale, non-climatic trend removal, colinearity existing in climate variables and non-consideration of adaptations. Respective resolutions for the above four issues have been put forward in the section of perspective on the future of statistical models finally.
出处	Journal of Geographical Sciences
卷	23
期	3
页	567-576
收录类别	SCI
语种	英语
ISSN号	1009-637X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30271]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhang Z.. A review on statistical models for identifying climate contributions to crop yields. 2013.

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