土地利用

典型红壤丘陵区土地利用空间优化配置

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  • 中国科学院地理科学与资源研究所,北京 100101
张红旗 (1963-), 男, 理学博士, 副研究员。从事土地资源评价和土地利用方面的研究。E-mail: zhanghq@igsnrr.cn

收稿日期: 2003-02-26

  修回日期: 2003-04-13

  网络出版日期: 2003-09-25

基金资助

中国科学院知识创新工程项目(KZCX2-407);中国科学院知识创新工程重大项目(KZCX1-SW-01)

Study on Spatial Optimization Allocation of Land Use in the Typical Red Soil Hilly Region in South China

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  • Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2003-02-26

  Revised date: 2003-04-13

  Online published: 2003-09-25

Supported by

Knowledge Innovation Project of CAS, No.KZCX2-407; No.KZCX1-SW-01

摘要

选择具有红壤丘陵区典型特征的江西省泰和县千烟洲为研究区域,在分析当前土地利用结构并进行土地适宜性评价的基础上,依据2000年千烟洲试验站研究数据及农户调查资料,将GIS技术与线性规划模型有效地耦合起来,探讨实现典型红壤丘陵区各种具有特定数量、质量的农用土地资源在空间上最优配置的方法与技术。结果表明,优化方案从现状中牧业短缺的粮、果、林结构转化为较为完善的粮、果、牧、林结构,耕地资源利用结构也由重水轻旱、粮作为主、经作为辅的传统生产模式,转变为粮-经-饲并举的三元优化配置结构;同时,由果业和畜牧业共同支撑的优化方案的经济效益明显优于现状,在经济上更具稳定性和可持续性。

本文引用格式

张红旗,李家永,牛栋 . 典型红壤丘陵区土地利用空间优化配置[J]. 地理学报, 2003 , 58(5) : 668 -676 . DOI: 10.11821/xb200305004

Abstract

On the basis of the analysis of land use structure, land suitability evaluation, experimental data of Qianyanzhou Station and the household investigation data, the methodology and technique based on a linear programming model in combination with GIS is applied to a case study for spatially optimal allocation of land resource with definite quantity and quality in Qianyanzhou. The conclusions are as follows: (1) Despite the progress made in agriculture through land use structure change in red soil region, the proportion of artificial grassland is very low and the use of natural grassland is inefficient, which leads to the secular stagnation of herbivorous animal husbandry. (2) The optimal scenario results can be produced by a linear programming model, which is based on a set of technical coefficients structured in an objective function and a set of constraints to be provided by GIS. (3) The optimal scenario results show that the structure of grain-horticulture-forestry in the presented scenario has been converted to the structure of grain-horticulture-animal husbandry-forestry in the optimal scenario.

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