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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:1961 - 2010年期间,基于遥感和GIS的农业子区和全国范围内的气候因素变化和稻米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:大米是中国最重要的主食粮食作物之一。气候变化是导致水稻生长不确定性和变异性的主要贡献因素。在本文中,我们应用线性相关分析和多元回归分析,分析了遥感和GIS与GIS和气候变化率的复合年水稻产量增长率与跨越1961年期间的三个二等比较的温度,降水和阳光持续时间的关系-2040。空间尺度是在国家和农业郊区界定的。基于这些结果,我们获得了以下结论:(1)个体气候因子随着时间的推移而具有不同的变化特性,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)个体气候因子没有显着影响任何空间尺度或任何时间比较的水稻产量; (3)温度,沉淀和阳光持续时间的组合在1961年至1990年和2010-2020和2010 - 2010年至2010-2020之间的比较中,南部和中部水平的大米产量的90%以上的水稻产量的变化; (4)难以投射水稻产量,仅使用2010-2040期间的三个气候因素发生变化; (5)不同的气候因子对水稻产量的影响在不同的空间尺度和不同的二等比较中是不同的。

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