首页> 外文会议>International Conference on Agro-Geoinformatics >What is statistical relationship between climatic factors changes and rice production at agro-subzone and nationwide levels during the period 1961–2040 based on remote sensing and GIS?
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What is statistical relationship between climatic factors changes and rice production at agro-subzone and nationwide levels during the period 1961–2040 based on remote sensing and GIS?

机译:基于遥感和地理信息系统,1961-2040年期间,在农业分区和全国范围内,气候因素变化与水稻生产之间的统计关系是什么?

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Rice is one of the most important staple food crops in China. Climate change is a major contributing factor leading to uncertainty and variability in rice growth. In this paper, we applied linear correlation analysis and multiple regression analysis to analyze the relationships between compound annual rice yield growth rates derived from remote sensing and GIS and climate change rates of temperature, precipitation and sunshine duration for three decadal comparisons spanning the period of 1961-2040. Spatial scales were defined at the national and agro-subzone levels. Based on these results, we obtained the following conclusions: (1) individual climatic factors have different change characteristics over time, whereas the spatial heterogeneity of precipitation and temperature changes will influence policy options for ensuring food security; (2) individual climatic factors did not significantly influence rice yields at any spatial scale or for any temporal comparison; (3) a combination of temperature, precipitation and sunshine duration explained more than 90% of the changes in rice yields at the national and subzone levels of south and central China in the comparison between 1961-1990 and 2010-2020; (4) it is difficult to project rice yields changes using only the three climatic factors for the 2010-2040 period; and (5) the effects of the different climatic factors on rice yields are different at different spatial scales and for different decadal comparisons.
机译:水稻是中国最重要的主食作物之一。气候变化是导致水稻生长不确定和多变性的主要因素。本文运用线性相关分析和多元回归分析,分析了1961年以来三个年代的比较,遥感和GIS得出的水稻复合年产量增长率与温度,降水量和日照持续时间的气候变化率之间的关系。 -2040。空间规模是在国家和农业分区水平上定义的。根据这些结果,我们得出以下结论:(1)各个气候因素随时间变化的特征不同,而降水和温度变化的空间异质性将影响确保粮食安全的政策选择; (2)在任何空间尺度或任何时间上的比较中,个别气候因素均未显着影响水稻产量; (3)在1961-1990年与2010-2020年之间的比较中,温度,降水和日照时间的综合说明了华南和中部国家和分区水平的水稻产量变化的90%以上; (4)仅使用三个气候因素来预测2010-2040年期间的水稻产量变化是困难的; (5)在不同的空间尺度和年代际比较中,不同的气候因素对水稻产量的影响是不同的。

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