Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2021, Vol. 37 ›› Issue (35): 73-77.doi: 10.11924/j.issn.1000-6850.casb2021-0092

Special Issue: 资源与环境

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Space-temporal Matching Pattern of Agricultural Land and Water Resources in Beijing

Wang Yan1,2(), Lei Xiaohui1(), Zhang Yu3(), Cui Na4   

  1. 1China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038
    2Beijing Research Institute of Water Affair Automation, Beijing 100036
    3Chinese Academy of Surveying & Mapping, Beijing 100036;
    4Shaanxi Geological Science and Technology Center, Xi’an 710054;
  • Received:2021-01-25 Revised:2021-03-18 Online:2021-12-15 Published:2022-01-07
  • Contact: Lei Xiaohui,Zhang Yu E-mail:wangyan@lreis.ac.cn;lxh@iwhr.com;zhangyu@casm.ac.cn

Abstract:

With the steady improvement of urbanization, the contradiction between resources and urban issues has become increasingly prominent. Agricultural development still maintains a steadily increasing momentum, but water resources and land resources that are closely related to agriculture are slightly insufficient. This study used the water resources, agricultural land and agricultural economic conditions of 16 districts of Beijing from 2009 to 2015 as index variables, firstly calculated the matching degree of agricultural land and water in time and space dimensions, and then made correlation analysis between the matching degree and agricultural economy at district level. The results showed that the matching degree of water and agricultural land in the whole city decreased year by year after reaching a small peak in 2012, it showed a strip distribution in whole, and the degree was also significantly different among those districts. The overall level of the eastern region was better than that of the western region, and the southern region was better than that of the northern region. The matching condition was better in Daxing, Shunyi and Tongzhou, while that of the six districts of the urban area were slightly worse. Moreover, the matching degree of water and agricultural land was positively correlated with agricultural economy. The technical framework of water and land resource matching given in this study is simple and feasible, and the results could also provide a scientific basis for further optimization and adjustment of agricultural development in the future.

Key words: water resources, cultivated land resource, soil and water matching, space-temporal pattern, space-temporal heterogeneity, Moran’s I index;, Gini coefficient

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