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安徽省耕地集约利用及其驱动力分析
引用本文:祝小迁,程久苗,费罗成.安徽省耕地集约利用及其驱动力分析[J].中国土地科学,2009,23(2):11-17.
作者姓名:祝小迁  程久苗  费罗成
作者单位:1. 安徽工业大学管理科学与工程学院,安徽,马鞍山,243002
2. 安徽师范大学国土资源与旅游学院,安徽,芜湖,241003
摘    要:研究目的:分析近10年来安徽省耕地集约利用变化及其驱动力。研究方法:综合指数评价法、聚类分析法、因子分析法。研究结果:(1)全省耕地集约利用水平时序变化性明显。从“十五”期间和“九五”期间相比来看,除滁州、六安、黄山三个地市以外,全省其他14个地市的耕地利用集约度都有不同程度的提高。(2)全省耕地利用集约度空间差异显著,总体上呈北高南低的特点。(3)社会经济因素、耕作制度因素和自然因素是影响安徽省耕地集约利用的主要驱动因子。研究结论:应用综合评价法进行耕地利用集约度评价以及采用因子分析法进行驱动力分析,评价结果与现实情况基本吻合,具有一定的可行性。

关 键 词:耕地集约利用  时空变化  驱动力  安徽省
收稿时间:2008-05-13
修稿时间:2008-09-17

Driving Forces in Anhui Province
ZHU Xiao-qian,CHENG Jiu-miao,FEI Luo-cheng.Driving Forces in Anhui Province[J].China Land Science,2009,23(2):11-17.
Authors:ZHU Xiao-qian  CHENG Jiu-miao  FEI Luo-cheng
Affiliation:1. Management Science and Engineering College, Anhui University of Technolog, Maanshan 243002, China|2. National Territorial Resources and Tourism College|Anhui Normal University|Wuhu 241003, China
Abstract:The paper is to analyze the change and driving forces of intensive use of cultivated land in nearly 10 years in Anhui Province. The methods employed include comprehensive evaluation, cluster analysis and quantitative analysis. The results show that:(1) the temporal variability of intensive use level of cultivated land is very obvious. From the comparison of the “Ninth Five-year Plan” and the “Tenth Five-year Plan”, the cultivated land use intensity had been increasing in 14 cities except Chuzhou, Liuan and Huangshan; (2)the spatial variance of the intensive use is remarkable, showing a trend of higher in north area and lower in south area;(3)the main driving forces influencing the intensive cultivated land use in Anhui Province are socioeconomic factors, cropping system and natural factors. It is conclude that the method of comprehensive evaluation shall be used to evaluate the cultivated land use intensity and quantitative analysis shall be used to analyze the driving forces. The results of the evaluation conforms to the state quo basically and has certain feasibilities.
Keywords:intensive cultivated land use  spatial-temporal variance  driving forces  Anhui Province
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