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A review on statistical models for identifying climate contributions to crop yields

查看参考文献37篇

Shi Wenjiao 1   Tao Fulu 2   Zhang Zhao 1 *  
文摘 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.
来源 Journal of Geographical Sciences ,2013,23(3):567-576 【核心库】
DOI 10.1007/s11442-013-1029-3
关键词 climate change ; crop yield ; influence ; adaptation ; statistical model
地址

1. Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, 100875  

2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101

语种 英文
文献类型 研究性论文
ISSN 1009-637X
学科 地质学
基金 国家自然科学基金 ;  The Science and Technology Strategic Pilot of the Chinese Academy of Sciences ;  Project Supported by State Key Laboratory of Earth Surface Processes and Resource Ecology
文献收藏号 CSCD:4800899

参考文献 共 37 共2页

1.  Cassman K. Ecological intensification of cereal production systems: Yield potential, soil quality, and precision agriculture. Proceedings of the National Academy of Sciences of the United States of America,1999,96(11):5952 CSCD被引 57 次    
2.  Christopher J K. Impacts of recent climate change on Wisconsin corn and soybean yield trends. Environmental Research Letters,2008,3:1-10 CSCD被引 19 次    
3.  Conway G. Feeding the world in the twenty-first century. Nature,1999,402(6761):55 CSCD被引 19 次    
4.  Gitay H. Ecosystems and their goods and services. Climate change 2001: Impacts, Adaptation, and Vulnerability. Third Assessment Report of the Intergovernmental Panel on Climate Change,2001 CSCD被引 1 次    
5.  IPCC. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change,2007 CSCD被引 42 次    
6.  Li X. The impact of climate change on maize yields in the United States and China. Agricultural Systems,2011,104(4):348-353 CSCD被引 6 次    
7.  Liu Y. Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980s. Global Change Biology,2009,16(8):1-13 CSCD被引 2 次    
8.  Lobell D. Climate and management contributions to recent trends in U.S. agricultural yields. Science,2003,299(5609):1032 CSCD被引 89 次    
9.  Lobell D. Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature Climate Change,2011,1(1):42-45 CSCD被引 51 次    
10.  Lobell D. Climate Change and Food Security: Adapting Agriculture to a Warmer World,2009 CSCD被引 1 次    
11.  Lobell D. On the use of statistical models to predict crop yield responses to climate change. Agricultural and Forest Meteorology,2010,150(11):1443-1452 CSCD被引 50 次    
12.  Lobell D. Prioritizing climate change adaptation needs for food security in 2030. Science,2008,319(5863):607-610 CSCD被引 67 次    
13.  Lobell D. Global scale climate-crop yield relationships and the impacts of recent warming. Environmental Research Letters,2007,2:014002 CSCD被引 84 次    
14.  Lobell D. Impacts of day versus night temperatures on spring wheat yields: A comparison of empirical and CERES model predictions in three locations. Agronomy Journal,2007,99(2):469-477 CSCD被引 29 次    
15.  Lobell D. Climate trends and global crop production since 1980. Science,2011,333:616 CSCD被引 228 次    
16.  Martinez C J. Use of climate indices to predict corn yields in southeast USA. International Journal of Climatology,2009,29(11):1680-1691 CSCD被引 3 次    
17.  Motha R P. Impacts of present and future climate change and climate variability on agriculture in the temperate regions: North America. Climatic Change,2005,70(1):137-164 CSCD被引 9 次    
18.  Nagai T. Differences between rice and wheat in temperature responses of photosynthesis and plant growth. Plant and Cell Physiology,2009,50(4):744 CSCD被引 9 次    
19.  Osborne T. Examining the interaction of growing crops with local climate using a coupled crop-climate model. Journal of Climate,2009,22(6):1393-1411 CSCD被引 3 次    
20.  Peng S. Rice yields decline with higher night temperature from global warming. Proceedings of the National Academy of Sciences of the United States of America,2004,101(27):9971-9975 CSCD被引 116 次    
引证文献 9 篇

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2 Chen Xuejuan Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014 Journal of Geographical Sciences,2017,27(6):661-680
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