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Spatio-temporal changes in rice area at the northern limits of the rice cropping system in China from 1984 to 2013

机译：1984年至2013年中国水稻种植系统北界的水稻面积时空变化

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摘要

Rice area has been expanding rapidly during the past 30 years under the inlfuence of global change in northeastern China, which is the northernmost region of rice cultivation in China. However, the spatio-temporal dynamic changes in rice area are stil unclear, although they may have important policy implications for environmental protection and adaptation to climate change. In this study, we aimed to identify the dynamic changes of the rice area in Heilongjiang Province of northeastern China by extracting data from multiple Landsat images. The study used ground quadrats selected from Google Earth and the extraction of a confusion matrix to verify the accuracy of extraction. The overal accuracy of the extracted rice area was higher than 95% as a result of using the artiifcial neural network (ANN) classiifcation method. The results showed that the rice area increased by approximately 2.4×106 ha during the past 30 years at an annual rate of 8.0×104 ha, and most of the increase occurred after 2000. The central latitude of the rice area shifted northwards from 46 to 47°N during the study period, and moved eastwards from 130 to 133°E. The rice expansion area accounted for 98% of the total change in rice area, and rice loss was notably rare. The rice expansion was primarily from dryland. In addition, rice cultivation in marshland and grassland played a minor role in the rice expansion in this region.
机译：在中国东北地区全球变化的接入下，稻米在过去30年中一直在迅速扩大，这是中国北方大米种植的最北端地区。然而，水稻面积的时空动态变化是如此不清楚，尽管它们可能对环境保护和适应气候变化具有重要的政策影响。在本研究中，我们旨在通过从多个Landsat图像中提取数据来确定东北东北省黑龙江省稻田的动态变化。该研究使用从谷歌地球中选择的地面四分钟和混淆矩阵的提取来验证提取的准确性。由于使用现实的神经网络（ANN）分类方法，所提取的稻米的高精度高于95％。结果表明，在过去的30年内，稻米面积增加了大约2.4×106公顷，每年的8.0×104公顷，大部分增加发生在2000年后发生。稻米的中央纬度从46到北向北转移到在研究期间47°N，并向东移动130至133°E。稻米膨胀区占水稻面积总变化的98％，稻米损失明显罕见。稻米膨胀主要来自旱地。此外，沼泽地和草原的水稻种植在该地区的大米扩张中发挥了较小的作用。

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  • 来源
    《农业科学学报（英文版）》 |2017年第2期|360-367|共8页
  • 作者

    LI Zhi-peng; LONG Yu-qiao; TANG Peng-qin; TAN Jie-yang; LI Zheng-guo; WU Wen-bin; HU Ya-nan; YANG Peng;

  • 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;

    Institute of Agricultural Economics and Regional Planning, Hunan Academy of Agricultural Sciences, Changsha 410125, 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;

    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);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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