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基于格网GIS的喀斯特山区草地生态脆弱性评价
引用本文:郭宾,周忠发,苏维词,陈全,魏小岛.基于格网GIS的喀斯特山区草地生态脆弱性评价[J].水土保持通报,2014(2):204-207.
作者姓名:郭宾  周忠发  苏维词  陈全  魏小岛
作者单位:贵州师范大学中国南方喀斯特研究院, 贵州贵阳 550001;贵州省喀斯特山地生态环境国家重点实验室培育基地, 贵州贵阳 550001;贵州师范大学中国南方喀斯特研究院, 贵州贵阳 550001;贵州省喀斯特山地生态环境国家重点实验室培育基地, 贵州贵阳 550001;贵州科学院山地资源研究所, 贵州贵阳 550001;贵州师范大学中国南方喀斯特研究院, 贵州贵阳 550001;贵州省喀斯特山地生态环境国家重点实验室培育基地, 贵州贵阳 550001;贵州师范大学中国南方喀斯特研究院, 贵州贵阳 550001;贵州省喀斯特山地生态环境国家重点实验室培育基地, 贵州贵阳 550001
基金项目:国家重点基础科学(973)研究发展计划项目"人为干预下喀斯特山地石漠化的演变机制与调控"(2012CB723202);2012年贵州省国际科技合作计划项目[黔科合外G字(2012)7022号];贵州省优秀青年科技人才培养对象专项[黔科合人字(2009)18号];贵州省科学技术厅与贵州师范大学联合基金项目〔黔科合J字LKS(2011)40号〕。
摘    要:以贵州省长顺县为研究区,以多元空间信息为基础,采用层次分析法(AHP)和主成分分析法并结合格网GIS技术,对评价体系中的各指标进行10m×10m尺度下的格网化,运用栅格数据的空间叠加方法及生态脆弱性的评价模型,分析获得了长顺县草地生态脆弱性的空间数据。根据生态脆弱性指数(EVI)将喀斯特山区的草地资源生态脆弱程度分为5个等级。分析结果显示,严重脆弱区的面积为36.32km2,所占比重最大;其次是中度脆弱区和极端脆弱区面积分别为28.09和24.99km2,最后,轻度脆弱区和潜在脆弱区面积分别为16.54和8.60km2,所占比重较小。从总体上看,长顺县草地生态脆弱性等级较高,喀斯特山区草地的生态脆弱性主要是由于特殊的地质背景和人类频繁活动干扰的结果。

关 键 词:喀斯特山区  草地  生态脆弱性  格网GIS
收稿时间:5/8/2013 12:00:00 AM
修稿时间:6/3/2013 12:00:00 AM

Evaluation of Ecological Vulnerability of Karst Grassland Based on Grid GIS
GUO Bin,ZHOU Zhong-f,SU Wei-ci,CHEN Quan and WEI Xiao-dao.Evaluation of Ecological Vulnerability of Karst Grassland Based on Grid GIS[J].Bulletin of Soil and Water Conservation,2014(2):204-207.
Authors:GUO Bin  ZHOU Zhong-f  SU Wei-ci  CHEN Quan and WEI Xiao-dao
Institution:Institute of South China Karst, Guizhou Normal University, Guiyang, Guizhou 550001, China;Incubation Base, State Key Laboratory of Karst Mountain Ecology Environment of Guizhou Province, Guiyang, Guizhou 550001, China;Institute of South China Karst, Guizhou Normal University, Guiyang, Guizhou 550001, China;Incubation Base, State Key Laboratory of Karst Mountain Ecology Environment of Guizhou Province, Guiyang, Guizhou 550001, China;Institute of Mountain Resources of Guizhou Province, Guiyang, Guizhou 550001, China;Institute of South China Karst, Guizhou Normal University, Guiyang, Guizhou 550001, China;Incubation Base, State Key Laboratory of Karst Mountain Ecology Environment of Guizhou Province, Guiyang, Guizhou 550001, China;Institute of South China Karst, Guizhou Normal University, Guiyang, Guizhou 550001, China;Incubation Base, State Key Laboratory of Karst Mountain Ecology Environment of Guizhou Province, Guiyang, Guizhou 550001, China
Abstract:Based on multi-spatial information, analytic hierarchy process(AHP), principal component analysis and grid GIS technology are applied in gridding the indicators of ecological vulnerability evaluation system at 10 m×10 m scale and achieving the spatial data about the ecological vulnerability of grassland in Changshun County, Guizhou Province. The ecological vulnerability of karst grassland is divided into 5 levels according to ecological vulnerability index(EVI). The analysis shows that the area of heavy vulnerability region is 36.32 km2, taking the largest proportion; the areas of moderate and extreme vulnerability regions are 28.09 km2 and 24.99 km2, respectively; and the areas of slight and potential vulnerability regions are 16.54 and 8.60 km2, respectively, taking smaller proportions. Overall, the ecological vulnerability of grassland in Changshun County is at a higher level and the ecological vulnerability of karst grassland is resulted from the special geological background and frequent human activity interference.
Keywords:karst mountain area  grassland  ecological vulnerability  grid GIS
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