应用生态学报2017，Vol.28Issue(6)：2003-2012,10.DOI:10.13287/j.1001-9332.201706.001
基于土地利用变化的典型喀斯特流域生态风险评估——以漓江流域为例
Ecological risk assessment of typical karst basin based on land use change: A case study of Lijiang River basin, Southern China
摘要
Abstract
Taking Lijiang River basin as study area,and based on the remote sensing images of 1973,1986,2000 and 2013,the land-use data were extracted,the ecological risk index was constructed,and the characteristics of spatiotemporal variation of ecological risk were analyzed by "3S" technique.The results showed that land use structure of Lijiang River basin was under relatively reasonable state and it was constantly optimizing during 1973-2013.Overall,the ecological risk of Lijiang River basin was maintained at a low level.Lowest and lower ecological risk region was dominant in Lijiang River basin,but the area of highest ecological risk expanded quickly.The spatial distribution of ecological risk was basically stable and showed an obvious ring structure,which gradually decreased from the axis of Xingan County Town-Lingchuan County Town-Guilin City-Yangshuo County Town to other regions.Region with lowest ecological risk mainly distributed in natural mountain forest area of the north and mid-eastern parts of Lijiang River basin,and region with highest ecological risk concentrated in Guilin City.The ecological risk distribution of Lijiang River basin presented significant slope and altitude differences,and it decreased with increasing slope and altitude.During the study period,the area of low ecological risk converted to high ecological risk gradually decreased and vice versa.On the whole,the ecological risk tended to decline rapidly in the Lijiang River basin.关键词
喀斯特流域/土地利用/生态风险/漓江流域Key words
Karst basin/land use/ecological risk/Lijiang River basin引用本文复制引用
胡金龙,周志翔,滕明君,罗楠..基于土地利用变化的典型喀斯特流域生态风险评估——以漓江流域为例[J].应用生态学报,2017,28(6):2003-2012,10.基金项目
本文由国家科技支撑计划项目(2012BAC16B04)和广西自然科学基金项目(2012GXNSFBA053136)资助 This work was supported by the National Science and Technology Support Project (2012BAC16B04) and the Guangxi Natural Science Foundation (2012GXNSFBA053136). （2012BAC16B04）
