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The heat deficit index depicts the responses of rice yield to climate change in the northeastern three provinces of China

机译:热量亏缺指数描述了中国东北三省的水稻产量对气候变化的响应

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摘要

The northeastern three provinces of China (NTPC) is one of the main marketable rice bases in the country, and more than 60 % of marketable Japonica rice is produced in this region. Predicting the potential effects of climate change on rice yields in these provinces is critical because of the high amounts of rice consumption in China. In this study, we conducted correlation and regression analyses of the climate records of 79 meteorological stations and records of rice yields from the years 1960 to 2009 in NTPC. Several variables, which include the monthly mean, anomalies in the minimum and maximum temperatures during the rice-growing season (i.e., May-September) and the accumulated deficit temperature unit (ADU_(n-)), which we introduced, were used to fit the rice yield anomalies. The results indicated that the rice yield in the NTPC was more significantly affected by monthly anomalies in ADU_(n-) during the growing season than by those in the monthly averages of climatic factors. The ability of ADU_(n-) models to explain variability amounted to 59.2, 40.3, 39.8 and 54.1 % of the rice yield in the Heilongjiang, Jilin, and Liaoning provinces, and of the average of the three provinces, respectively. Furthermore, the rice yield response to climate change was simulated, using future climate-change scenarios of the daily mean and minimum temperatures from regional climate models during the years of 2020-2040, and it was shown that the future warming scenario favored rice production in Northeast China that was increased by approximately 1.7 % above the present yield.
机译:东北三省(NTPC)是该国主要的可销售稻米基地之一,该地区生产的可销售粳稻超过60%。预测气候变化对这些省份水稻产量的潜在影响至关重要,因为中国的水稻消费量很高。在这项研究中,我们对NTPC中79个气象站的气候记录和1960年至2009年的水稻产量记录进行了相关和回归分析。我们使用了几个变量,包括月平均值,水稻生长期(即五月至九月)的最低和最高温度的异常以及我们引入的累积赤字温度单位(ADU_(n-)),拟合水稻产量异常。结果表明,NTPC水稻产量在生长季节受ADU_(n-)月度异常的影响要比对气候因素月平均值的影响更大。 ADU_(n-)模型解释变异性的能力分别为黑龙江省,吉林省和辽宁省以及三省平均水平的大米产量的59.2%,40.3%,39.8%和54.1%。此外,利用未来气候变化情景模拟了水稻产量对气候变化的响应,该情景采用了2020-2040年期间区域气候模型的日平均和最低温度,表明未来的变暖情景有利于稻米生产。中国东北地区,比目前的单产提高了约1.7%。

著录项

  • 来源
    《Regional Environmental Change》 |2014年第1期|27-38|共12页
  • 作者单位

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;

    Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Rice yield; Global warming; Cold stress; Northeast China;

    机译:水稻产量;全球暖化;冷压力中国东北;

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