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西部地区耕地质量监测县选取方法的研究
引用本文:刘毅,高尚,刘希霖,安萍莉.西部地区耕地质量监测县选取方法的研究[J].资源科学,2013,35(11):2248-2254.
作者姓名:刘毅  高尚  刘希霖  安萍莉
作者单位:中国农业大学资源环境学院, 北京 100193;中国农业大学资源环境学院, 北京 100193;中国农业大学资源环境学院, 北京 100193;中国农业大学资源环境学院, 北京 100193;国土资源部农用地质量与监控重点实验室, 北京 100193
基金项目:国土资源部公益性行业科研专项:耕地等级变化监测布控技术研究及耕地等级监测技术西部地区示范(编号:201011006-3)。
摘    要:耕地质量和数量的保护是解决中国粮食安全问题的最有效途径。如何科学有效地选取最具代表性的监测县进行监测,从而能够实时掌握各地区的耕地质量等级变化情况,是实现耕地质量保护所要面对的首要问题。文章以西部生态脆弱区为研究对象,对耕地质量监测县的选取进行了探讨。从影响西部耕地质量的间接因素和直接因素出发,在此基础上结合西部各区县的耕地自然质量等,分析各二级区的耕地质量变化特征,并辅以空间地统计学技术,探讨了有关耕地质量监测县选取方法。最终确立了以102个基准县、89个突变县为监测代表的西部地区耕地质量监测县节点网络,经检验,该网络能够较好地反应西部地区的整体耕地质量水平。

关 键 词:耕地质量  监测网络  农用地等别  空间地统计学  中国西部地区

A Design Monitoring Network of Western Farmland Quality
LIU Yi,GAO Shang,LIU Xilin and AN Pingli.A Design Monitoring Network of Western Farmland Quality[J].Resources Science,2013,35(11):2248-2254.
Authors:LIU Yi  GAO Shang  LIU Xilin and AN Pingli
Institution:College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;Key Laboratory for Farmland Land Quality and Monitoring of National Ministry of Land Resources, Beijing 100193, China
Abstract:The most effective way to solve the problem of food security in China is to protect the quantity and quality of arable land. In order to protect the quality of cultivated land, a primary problem how to select monitoring counties. Here, we focus on the ecologically fragile areas of Western China, and make a distinction between indirect factors and direct factors that impact on the quality of cultivated land in western China. We combined the cultivated land natural quality gradation of various districts and counties in western China, and then analyzed changing characteristics about the cultivated land quality of each sub-region in western China. Using spatial geographical statistical methods, we then discuss the selection of monitoring counties in Western China. We selected 102 benchmark counties used to monitor gradual change in cultivated land in the study area. Eighty-nine counties of mutations were selected, used to monitor sudden changes in the study area. After examination, the county-nodes of the network met the distribution characteristics of the study area, and the counties explain the overall quality of cultivated land levels in western China well.
Keywords:Farmland quality  Monitoring network  Farmland gradation  GIS  Western China
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