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基于标准样地的国家级农用地等别质量监测点设置方法探讨——以冀豫鄂三省为例
  • ISSN号:1007-7588Call Number: 11-3868/N
  • 期刊名称:资源科学
  • 时间:0
  • 页码:1957-1966
  • 语言:中文
  • 分类:TP316.7[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] F321.1[经济管理—产业经济]
  • 作者机构:[1]中国农业大学资源与环境学院,北京100193, [2]河北师范大学资源与环境科学学院,石家庄050016, [3]湖北省当阳市国土资源局,当阳444110
  • 相关基金:国土资源部土地整理中心国土资源大调查项目:“土地资源监测评价工程-农用地分等定级估价”(编号:2007-9.2-1);国家自然科学青年基金(编号:40801221).
  • 相关项目:城乡建设用地互动机理及其增减挂政策改进
中文摘要:

标准样地作为典型农用地等别质量的标志地,产生于农用地分等,省级以上标准样地分布的广泛性和代表性可以满足作为国家级农用地等别质量监测点的需求,研究建立基于标准样地的农用地等别质量监测点设置方法对创新农用地等别质量监测体系研究具有重要意义。基于此,本文选择业已完成农用地分等国家级汇总的冀豫鄂3省为案例区,探讨从这3省省级以上标准样地中选择合适样地作为国家级农用地等别质量监测点的方法。文章采用格网法与景观多样性指数法布设3省农用地等别质量监测样带,采用分层抽样法选取标准样地作为监测点,最终从确定的一纵三横四条监测样带中抽取出48个具有代表性的标准样地作为农用地等别质量的国家级监测点。研究认为作为国家级农用地等别质量监测点,首先需要监测点在等别质量上体现区域农用地等别质量骨架;其次监测点数目合理,以此才能在保证监测精度的前提下,有效减少数据冗余,同时节省监测数据采集的时间和经济成本。

英文摘要:

Monitoring techniques for land resources are becoming more and more mature. However, applications are primarily subject to monitoring land use type, land desertification, and soil improvement. The monitoring of agricultural land quality has been rarely studied. How to make best of existing methods and techniques to rationally establish agricultural land quality monitoring system is one of the goals in land precise management, which would also benefit agricultural land quality management communique system. Standard plots were used for quality grading for typical farmland. Studying monitoring system based on standard plots and farmland grade outputs are of utmost significance to improving farmland grading monitoring system. It comes to the conclusion that the standard plots above the provincial level can well satisfy the requirement for monitoring points for quality grading of national lands for agricultural use because of their merits in universality and representativeness. In the present work, we investigated the standard plots across three provinces, i.e. Hebei, Henan and Hubei, because the work on establishing farmland grades there has already been completed. Due to being located in main grain producers in the central and eastern regions in China, the three provinces may provide reference for similar studies on other main grain producers. We selected national level agricultural land quality monitoring points from provincial standard plots. There were basically three steps to set up monitoring points. First, the grid method and landscape diversity index method were employed to create monitoring sample belts for quality grading of lands for agricultural use over the three provinces. Second, standard plots were identified with the stratified sampling method to be monitoring points. Third, 48 samples of standard plots of good representativeness from one vertical and three horizontal belts were identified to be the national monitoring points for quality grading of lands for agricultural use. It was found that nation

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