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滇池流域土地利用格局变化的地形梯度效应
引用本文:王启名,杨昆,许泉立,高蓉.滇池流域土地利用格局变化的地形梯度效应[J].水土保持通报,2017,37(4):106-113,118.
作者姓名:王启名  杨昆  许泉立  高蓉
作者单位:1. 云南师范大学旅游与地理科学学院,云南昆明650500;西部资源环境地理信息技术教育部工程研究中心,云南昆明650500;2. 西部资源环境地理信息技术教育部工程研究中心,云南昆明650500;云南师范大学信息学院,云南昆明650500;3. 东北师范大学商学院,吉林长春,130000
基金项目:国家自然科学基金项目“城镇化进程中基于蚁群行为规则的滇池流域不透水表面扩张智能体建模与模拟”(41461038);高等学校博士学科点专项联合基金“盘龙江子流域城市非点源污染的地理空间模拟模型研究”(20115303110002)
摘    要:目的]分析滇池流域的土地利用变化的总趋势和地形梯度格局及影响因素,为土地利用模式的优化配置和土地资源的可持续发展提供依据。方法]采用土地利用幅度和动态度分析了土地利用变化的总趋势,从地形因子(地形起伏度、坡度、坡向、地形位)角度用地形分布指数法分析了土地利用的地形梯度格局,用定性分析法分析了地形梯度效应的影响因素。结果](1)2000—2014年研究区土地利用类型以耕地、林地、草地和建设用地为主,建设用地增速最快,草地减速最快。(2)土地利用在不同地形梯度上有明显的层次分布格局和变化趋势。随着地形梯度的升高,水域、耕地和建设用地、草地和未利用地、林地的优势分布区逐渐升高,分别在最低、低和中低、中低、中高和高地形梯度上占绝对优势;水域、耕地和建设用地(除后两者最低一级梯度)分布指数随之减少,草地和未利用地分布指数变化不明显,林地分布指数则不断增加。(3)土地利用格局变化的地形梯度效应受基础的地形因素、起推动的社会经济因素和宏观调控的政策因素的共同影响。结论]滇池流域土地利用地形梯度格局变化明显,并受地形、社会经济和政策因素共同影响。

关 键 词:土地利用  滇池流域  地形分级  分布指数
收稿时间:2017/4/9 0:00:00
修稿时间:2017/4/24 0:00:00

Terrain Gradient Effect of Land Use Pattern Change in Dianchi Watershed
WANG Qiming,YANG Kun,XU Quanli and GAO Rong.Terrain Gradient Effect of Land Use Pattern Change in Dianchi Watershed[J].Bulletin of Soil and Water Conservation,2017,37(4):106-113,118.
Authors:WANG Qiming  YANG Kun  XU Quanli and GAO Rong
Institution:School of Tourism and Geography Science, Yunnan Normal University, Kunming, Yunnan 650500, China;Western Resources Environment Geographic Information Technology Engineering Research Center of the Ministry of Education, Kunming, Yunnan 650500, China,Western Resources Environment Geographic Information Technology Engineering Research Center of the Ministry of Education, Kunming, Yunnan 650500, China;School of Information, Yunnan Normal University, Kunming, Yunnan 650500, China,School of Tourism and Geography Science, Yunnan Normal University, Kunming, Yunnan 650500, China;Western Resources Environment Geographic Information Technology Engineering Research Center of the Ministry of Education, Kunming, Yunnan 650500, China and School of Business, Northeast Normal University, Changchun, Jilin 130000, China
Abstract:Objective] General trend and terrain gradient distribution pattern and the influence factors of land use change in Dianchi watershed were analyzed to provide the optimal allocation of land use pattern and the reference for the sustainable development of land resources.Methods] We used range and dynamic degree of land use to analyze the general trend of land use change. The terrain distribution index method with respect to the terrain factors(landform relief, slope, aspect, terrain niche) was analyzed. Influence factors of the terrain gradient effect were analyzed by qualitative analysis method.Results] (1) The main land use types of the study region from 2000 to 2014 were cultivated land, forest land, grassland and construction land, among which, grassland had obviously decreased and construction land obviously increased. (2) The pattern of land use type in different terrain gradient has obvious level distribution and change trend. With the increase of topographic gradient, the proportional coverage by water area, cultivated land and construction land, grassland and unused land, woodland gradually increased. These land use types preponderated at lowest, low and mid-low, mid-low, mid-high and high terrain gradients, respectively. With the increase of topographic gradient, the distribution index of water area, cultivated land and construction land(except the lowest level gradient of cultivated land and construction) declined, the distribution index of grassland and unused land didn not change obviously, the distribution index of forest distribution increased. (3) Terrain gradient effect of land use pattern change is mutually influenced by basic terrain factors, promoted social and economic factors and control policy factors of macroeconomic regulation.Conclusion] The terrain gradient distribution pattern of land use in Dianchi watershed changed distinctly and was affected by terrain, social economy and policy.
Keywords:land use  Dianchi watershed  terrain classification  distribution index
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