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云南省红河流域景观生态风险及驱动力分析
引用本文:刘世梁,刘琦,张兆苓,邓丽,董世魁.云南省红河流域景观生态风险及驱动力分析[J].生态学报,2014,34(13):3728-3734.
作者姓名:刘世梁  刘琦  张兆苓  邓丽  董世魁
作者单位:北京师范大学环境学院 水环境模拟国家重点实验室, 北京 100875;北京师范大学环境学院 水环境模拟国家重点实验室, 北京 100875;北京师范大学环境学院 水环境模拟国家重点实验室, 北京 100875;北京师范大学环境学院 水环境模拟国家重点实验室, 北京 100875;北京师范大学环境学院 水环境模拟国家重点实验室, 北京 100875
基金项目:国家自然科学基金面上项目(40871237);国家自然科学基金重点资助项目(50939001);国家科技支撑计划项目(2008BAB38B02)
摘    要:以云南省红河流域为研究区域,利用GIS和RS技术,建立基于景观格局和土壤侵蚀过程的景观生态风险指数,分析研究区域内景观生态风险分布规律。研究结果表明:重度和极重度格局风险区域、土壤侵蚀区域及综合景观生态风险区域主要沿红河主干道分布;综合景观生态风险指数在空间上呈现正的自相关性,高风险聚集区主要沿河流分布;不同景观类型中,建设用地、未利用地和水域的景观格局风险大于耕地、草地和林地,未利用地的土壤侵蚀风险最高,综合景观生态风险度依次为建设用地水域未利用土地耕地林地草地;坡度在一定程度上影响着景观格局、土壤侵蚀以及综合景观生态风险。

关 键 词:景观  生态风险  空间自相关  红河流域
收稿时间:2013/6/12 0:00:00
修稿时间:2014/4/18 0:00:00

Landscape ecological risk and driving force analysis in Red river Basin
LIU Shiliang,LIU Qi,ZHANG Zhaoling,DENG Li and DONG Shikui.Landscape ecological risk and driving force analysis in Red river Basin[J].Acta Ecologica Sinica,2014,34(13):3728-3734.
Authors:LIU Shiliang  LIU Qi  ZHANG Zhaoling  DENG Li and DONG Shikui
Institution:School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
Abstract:Taking Red River watershed as a case, we analyzed landscape ecological risk variability by establishing a risk index based on landscape pattern and process using GIS and RS technology. The results showed: the regions with severe and very severe landscape pattern, soil erosion, and integrated landscape risk were located along the main stream of Red River. The integrated landscape risk index presented positive spatial autocorrelation and the regions of high-high integral landscape risk was located in the upstream and downstream of the Red River. Landscape pattern risks of the constructed land, water and unused land were higher than those of the cultivated land, grassland and forest land. Unused land had highest soil erosion risk. The rank order of six land use types according to their integral landscape ecological risk was constructed land > water > unused land > cultivated land > forest land > grassland. Topographical factors and human disturbance factors can affect the landscape pattern, soil erosion, and integrated landscape ecological risk to a certain extent.
Keywords:landscape  ecological risk  spatial autocorrelation  Red River Basin
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