鹦哥岭景观格局脆弱性动态变化研究

Yinggeling Landscape Pattern Changes Vulnerability

基于ARCGIS和Fragstats软件,探讨鹦哥岭2010年和2020年生态环境脆弱性,该研究选取坡度变率(SOS)、坡向变率(SOA)、地形起伏度和地面粗糙度4个指标对研究区敏感性进行评价,选取破碎度(FN)、分离度(FI)和聚集度(AI)3个景观指标,利用GIS的空间分析和克里格插值法,生成生态脆弱等级分布图,探讨鹦哥岭生态环境脆弱性问题。结果表明:(1)研究区高度敏感区面积比为16.18%,中度敏感区以下(含)面积比例78.31%;(2)2010年鹦哥岭各景观类型脆弱度顺序:乔木林地>未利用地>宜林地>非林地>建设用地,2020年鹦哥岭各景观类型脆弱度顺序:乔木林地>未利用地>宜林地>非林地;(3)该区域内地形地貌等自然因素对该区生态环境空间分异有重要影响,而林种结构单一和人类因素不容忽视。

Based on ARCGIS software and Fragstats explore Yinggeling 2010 2020 ecological vulnerability, this study selected slope variability （SOS）, change the aspect ratio （SOA）, topography and surface roughness of the four indicators to evaluate the sensitivity of the study area, taking fragmentation （FN）, separation （FI） and aggregation degree （AI） 3 landscape indicators, the use of GIS spatial analysis and kriging interpolation method to generate ecologically fragile grade maps, explore Yinggeling ecological vulnerability. The results showed that： （1） the study area is highly sensitive area ratio of 16.18%, moderately sensitive area （inclusive） area ratio of 78.31%, （2） 2010 Yinggeling vulnerability of landscape types in order： woodland〉 unused land〉 Suitable land 〉 Non-woodland〉 construction land, 2020 Yinggeling vulnerability of landscape types in order： woodland〉 unused land〉 Suitable land 〉 non-forest land, （3） the region topography and other natural factors in this area ecological spatial differentiation has human factors can＇t be ignored. an important impact, but I＇m kind of a single structure and