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Spatio-Temporal Changes in the Rice Planting Area and Their Relationship to Climate Change in Northeast China:A Model-Based Analysis

机译:基于模型的东北地区水稻种植区时空变化及其与气候变化的关系

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摘要

Rice is one of the most important grain crops in Northeast China (NEC) and its cultivation is sensitive to climate change. This study aimed to explore the spatio-temporal changes in the NEC rice planting area over the period of 1980-2010 and to analyze their relationship to climate change. To do so, the CLUE-S (conversion of land use and its effects at small region extent) model was ifrst updated and used to simulate dynamic changes in the rice planting area in NEC to understand spatio-temporal change trends during three periods: 1980-1990, 1990-2000 and 2000-2010. The changing results in individual periods were then linked to climatic variables to investigate the climatic drivers of these changes. Results showed that the NEC rice planting area expanded quickly and increased by nearly 4.5 times during 1980-2010. The concentration of newly planted rice areas in NEC constantly moved northward and the changes were strongly dependent on latitude. This conifrmed that climate change, increases in temperature in particular, greatly inlfuenced the shift in the rice planting area. The shift in the north limit of the NEC rice planting area generally followed a 1°C isoline migration pattern, but with an obvious time-lag effect. These ifndings can help policy makers and crop producers take proper adaptation measures even when exposed to the global warming situation in NEC.
机译:水稻是东北地区最重要的粮食作物之一,其栽培对气候变化敏感。本研究旨在探讨NEC水稻种植区在1980-2010年期间的时空变化,并分析其与气候变化的关系。为此,首先更新了CLUE-S(土地利用的转换及其在小区域范围内的影响)模型,该模型用于模拟NEC水稻种植区的动态变化,以了解三个时期的时空变化趋势:1980年-1990、1990-2000和2000-2010。然后将各个时期的变化结果与气候变量联系起来,以调查这些变化的气候动因。结果表明,NEC水稻种植面积迅速扩大,在1980-2010年期间增长了近4.5倍。 NEC新种植的稻米区域的浓度不断向北移动,变化很大程度上取决于纬度。这证实了气候变化,尤其是温度的升高,极大地影响了水稻种植面积的变化。 NEC水稻种植区北限的移动通常遵循1°C等值线迁移模式,但具有明显的时滞效应。这些发现可以帮助决策者和农作物生产者采取适当的适应措施,即使在NEC的全球变暖情况下也是如此。

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  • 来源
    《农业科学学报(英文版)》 |2014年第7期|1575-1585|共11页
  • 作者单位

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China;

    Institute for Environmental Studies, VU University Amsterdam, Amsterdam, De Boelelaan 1087, The Netherlands;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China;

    Remote Sensing Technique Center, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-18 00:24:56
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