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气候变化背景下中国玉米单产增速减缓的原因分析
引用本文:杨笛,熊伟,许吟隆,冯灵芝,张梦婷,刘欢. 气候变化背景下中国玉米单产增速减缓的原因分析[J]. 农业工程学报, 2017, 33(Z1): 231-238. DOI: 10.11975/j.issn.1002-6819.2017.z1.035
作者姓名:杨笛  熊伟  许吟隆  冯灵芝  张梦婷  刘欢
作者单位:1. 中国农业科学院农业环境与可持续发展研究所,北京,100081;2. 陕西省榆林市气象局,榆林,719099
基金项目:国家自然科学基金面上项目"气候变化下我国粮食产量增速放缓的驱动机制及适应潜力研究"(41471074);国家自然基金面上项目"我国麦-玉轮作复种体系对气候变化的适应机制及适应技术集成的模拟研究"(41171093);十二五科技支撑课题"重点领域气候变化影响与风险评估技术研究应用"(2012BAC19B0101)
摘    要:采用集合经验模态分解方法,分析1981—2008年中国玉米单产的变化趋势,发现全国和15个省(自治区、直辖市)均出现了玉米单产增速变缓的现象。该研究选取10个出现玉米单产增速变缓的主产省(自治区、直辖市),基于Cobb-Douglas生产函数,构建了肥料、灌溉、其他物质投入和气候要素4类驱动因子与玉米单产之间的多元回归模型,分析各驱动因子对玉米单产的影响和贡献。结果表明:1)肥料、灌溉、其他物质投入和气候要素4类驱动因子与1981—2008年玉米单产均存在着显著的相关关系,其中肥料、其他物质投入和灌溉显著地促进了玉米单产的增长,当这些因子每增加1%时,将分别促进玉米单产增长0.39%、0.06%和0.04%。气候要素中,降水对玉米单产也表现为促进作用,当降水每增加1%,玉米产量会增长0.21%;而气温和太阳辐射(云覆盖率)则对玉米单产产生负面影响,当温度每增加1%和太阳辐射每减少1%,将导致玉米单产下降0.99%和1.04%。2)1981—2008年,肥料对玉米单产增加的贡献最大(使玉米增产70.24%),其次是灌溉(9.44%),其他物质投入的贡献为5.43%。气候变化要素中,温度升高导致玉米产量降低了1.98%,而降水和辐射的减少则使玉米产量分别降低了1.08%和4.72%。3)肥料对2个玉米主产区(北方春玉米区和黄淮海夏玉米区)的产量增加均呈现显著的促进作用,灌溉对北方春玉米单产有显著的正面影响,其他物质投入对黄淮海夏玉米单产有显著的正面影响。气候因子中,气温上升能显著的促进北方春玉米单产增长;太阳辐射的减少对2个主产区玉米单产均有显著的负面影响。

关 键 词:气候变化  肥料  灌溉  玉米单产  Cobb-Douglas生产函数  驱动因子
收稿时间:2016-11-16
修稿时间:2016-12-19

Analysis of reason for recent slowing maize yield increase under climate change in China
Yang Di,Xiong Wei,Xu Yinlong,Feng Lingzhi,Zhang Mengting and Liu Huan. Analysis of reason for recent slowing maize yield increase under climate change in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(Z1): 231-238. DOI: 10.11975/j.issn.1002-6819.2017.z1.035
Authors:Yang Di  Xiong Wei  Xu Yinlong  Feng Lingzhi  Zhang Mengting  Liu Huan
Affiliation:1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China;,1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China;,1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China;,2. Yulin Meteorological Bureau of Shaanxi Province, Yulin 719099, China;,1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China; and 1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
Abstract:Abstract: China''s maize yield has demonstrated a slowing growth since the end of last century, which has received great concerns for policy makers and agricultural scientists. Reasons for such phenomena are usually ascribed to decreasing fertilizer efficiency, land degradation, decreasing technology inputs such as new crop varieties, and climate change. However, none of the reasons has been clearly investigated and quantified to date, particularly at a very regional scale. Here a gridded and time series database of maize yield, areas, irrigation, fertilizer application, we apply an ensemble empirical mode decomposition (EEMD) analysis and examine the contribution of each factors on past yield growth and their changes along time. We discover that the slowing yield growth has been experienced at the whole China and 15 provinces (autonomous regions, municipalities) in 1981-2008. Based on Cobb-Douglas production function, we create multiple linear regression models for the whole country and the 10 provinces that exhibits slowing yield increase, to isolate the contributions of fertilizer, irrigation, other physical inputs and climate on past maize yield increase. Results showed, at national scale, 1) maize yield was significantly correlated with fertilizer, irrigation, other physical inputs and climate factors during 1981-2008. Maize yield was significantly promoted by inputs of fertilizer, irrigation and others, with a 1% increase of these investments increasing maize yield by 0.39%, 0.06% and 0.04%. Among climate factors, change of precipitation increased maize yield, with a 1% increase in precipitation promoting maize yield by 0.21%. Whereas temperature and cloud cover had negative effects on maize yield change, a 1% increase in temperature and a 1% decrease in solar radiation would decrease maize yield by 0.99% and 1.04% respectively. 2) Past increase of fertilizer application amount contributed most to past yield increase of maize (70.24%), followed by irrigation (9.44%), and other physical inputs (5.43%). Within all climate drivers, increase of temperature reduced maize yield by 1.98%, while decrease in precipitation and solar radiation increased maize yield by 1.08% and 4.72%. 3) Increased fertilizer application significantly increased the production in Northern spring maize region and Huang-Huai-hai summer maize region. Irrigation had positive effects in Northern spring maize region. The other physical inputs had significantly positive effects in Huang-Huai-hai summer maize region. For climate drivers, increase of temperature could promote maize yield significantly in Northern spring maize region and Huang-Huai-hai summer maize region. The reducing solar radiation had significantly negative effects on maize yield in two maize producing regions. Although statistic model is able to isolate the contribution of various factors, it''s accuracy depends on the training date and the models that have been selected. Our results only focus on the major factors that affecting China''s maize production, which to some extent limits its explanation ability as many other factors such as environmental degradation, pest and diseases, labor loss have started to affect the national crop production. Nevertheless, our results are consistent with previous studies showing that fertilizer is the major player for past maize yield growth, while its decreasing contribution has caused the recent slowing the maize yield increase. Climate change is becoming an important factor in fluctuating the production and affecting the changing trends.
Keywords:climate change   fertilizers   irrigation   maize yield   Cobb-Douglas production function   driving factors
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