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江苏省耕地后备资源的空间分异及开发时序模型研究
引用本文:严长清,袁林旺,李满春.江苏省耕地后备资源的空间分异及开发时序模型研究[J].地理与地理信息科学,2005,21(2):58-61,73.
作者姓名:严长清  袁林旺  李满春
作者单位:南京大学城市与资源学系,江苏,南京,210093;江苏省土地勘测规划院,江苏,南京,210024;南京师范大学地理信息科学江苏省重点实验室,江苏,南京,210097;南京大学城市与资源学系,江苏,南京,210093
基金项目:国土资源部东部地区耕地后备资源调查评价项目;国土资源部百名优秀青年科技人才计划
摘    要:该文运用数理统计分析耕地后备资源数量和类型的空间分异特征与分布规律,构建以投入产出比为基础,并以耕地转化潜力系数、耕地后备资源密集度系数加以修正的耕地后备资源开发时序模型,得到江苏各地区耕地后备资源的开发时序。研究结果表明,江苏省耕地后备资源具有明显的空间分异特征,根据开发时序模型提出江苏省各地区耕地后备资源的开发利用建议。

关 键 词:耕地后备资源  空间分布特征  开发时序
文章编号:1672-0504(2005)02-0058-04

Study on Space Differential of Reserving Cultivatable Land Resources in Jiangsu Province and the Model of Exploiting Priority Scheduling
YAN Chang-qing,YUAN Lin-wang,LI Man-chun.Study on Space Differential of Reserving Cultivatable Land Resources in Jiangsu Province and the Model of Exploiting Priority Scheduling[J].Geography and Geo-Information Science,2005,21(2):58-61,73.
Authors:YAN Chang-qing  YUAN Lin-wang  LI Man-chun
Abstract:The purpose of this paper is to decide the exploiting priorities of reserving cultivatable land resources in different areas.Mathematical statistics method is used in the study.Taking Jiangsu Province as an example,this paper analyzes the spatial distribution features of land quantity and classification,and constructs a model of exploiting priority of reserving cultivatable land resources,which is based on the ratio of output by input,modified by the coefficient of potential transformation to cultivable land and the coefficient of resources'centrality.Using this model,the paper calculates the exploiting priorities of reserving cultivatable land resources in different areas in Jiangsu Province.The results show that the reserving cultivatable beach-land is the main resource in Jiangsu;the distribution of reserving cultivatable land is related to the distribution of large water areas in Jiangsu Province.The results of calculation provide reference of reasonable exploitation of land resources.And the model of exploiting priority could be used in different areas in Jiangsu.
Keywords:reserving cultivatable land resources  spatial distribution feature  exploiting priority scheduling
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