Advances in Earth Science ›› 2021, Vol. 36 ›› Issue (4): 399-412. doi: 10.11867/j.issn.1001-8166.2021.040

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Analysis of Spatiotemporal Pattern and Drivers of Virtual Crops Water Trade Along the Belt and Road

Liangkan CHEN 1 , 2( ), Shaohui CHEN 1( )   

  1. 1.Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,Beijing 100101,China
    2.College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2021-02-28 Revised:2021-03-28 Online:2021-05-31 Published:2021-05-31
  • Contact: Shaohui CHEN;
  • About author:CHEN Liangkan (1996-), male, Xianning City, Hubei Province, Master student. Research areas include ecohydrological change. E-mail:
  • Supported by:
    the National Natural Science Foundation of China “Decoupling modeling the interaction mechanism between evapotranspiration and groundwater over desert riparian forest under the framework of four-dimensional assimilation”(U2003105);The Open Research Fund of National Earth Observation Data Center “Development of special products on soil moisture and fertility with high temporal and spatial resolution of Qinghai-Tibet Plateau”(DAOP2020003)

Liangkan CHEN, Shaohui CHEN. Analysis of Spatiotemporal Pattern and Drivers of Virtual Crops Water Trade Along the Belt and Road[J]. Advances in Earth Science, 2021, 36(4): 399-412.

Water resources are scarce and unevenly distributed along the Belt and Road, whereas virtual water trade could achieve the spatial allocation of water resources over long distances. The virtual crop water trade was calculated, including 37 crops from 59 countries along the Belt and Road between 2010-2018.Based on the results, the spatiotemporal patterns of virtual crop water trade were studied with the method of the standard deviation ellipse, Moran's I index, and LISA index, and the spatial variation of driving forces were analyzed by the geographical detector and geographically weighted regression. The proportion of "low water-consuming and high export" of crops was 4.013%, and the "high water-consuming and high export" was 1.926% among these 8countries. Its import spatiotemporal pattern had a trend of contraction, conversely, the export showed an expansive trend. Some aggregation characteristics arose in the local area, with the high-high concentrated regions for import were mainly distributed among South Asia, and the high-high concentrated areas for export were almost in Central and Eastern Europe. The significant drivers could explain the forcing of net crop virtual water exports well along the Belt and Road, with negative driving characteristics for GDP and positive driving characteristics for arable land area, while population scale, forest area, and the number of bordering neighbors showed positive and negative bipolar driving characteristics among different countries.

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