北方半干旱荒漠草原生态区生态脆弱性变化遥感监测及其驱动机制分析
Dynamic Monitoring of Ecological Vulnerability in the Semi-arid Desert and Steppe Ecological Zone of Northern China Based on RS and Its Driving Mechanism Analysis
摘要
Abstract
Considering the unique geographical conditions(serious soil wind erosion,salinization,desertification and soil water erosion)and extreme climate index(extreme high/low temperature days and extreme precipitation days)in the semi-arid desert and steppe ecological zone of northern China,an evaluation system for the ecological vulnerability was established by introducing the large-scale landscape pattern indexes(Shannon uniformity index and contagion index).Then,the spatial and temporal changes in the ecological vulnerability during the last 13 years were analyzed and discussed.The results showed that the ecological vulnerability over the semi-arid desert and steppe ecological zone of northern China belonged to moderate vulnerability,and showed a decreasing trend from west to east.During 2000-2013,there was a decreasing change trend in ecological vulnerability.In the last 13 years,the temporal and spatial patterns of ecological vulnerability of the semi-arid desert and steppe ecological zone of northern China were significantly affected by GDP density,temperature,precipitation and topography factors.All of these would provide scientific supports for environmental modification and protection in the semi-arid desert and steppe ecological zone of northern China.关键词
生态脆弱性/时空格局/盐渍化/沙漠化/驱动机制Key words
Ecological vulnerability/Temporal and spatial patterns/Salinization/Desertification/Driving mechanism引用本文复制引用
郭兵,孔维华,韩芳,王军军,姜琳,逯跃锋..北方半干旱荒漠草原生态区生态脆弱性变化遥感监测及其驱动机制分析[J].热带亚热带植物学报,2018,26(1):1-12,12.基金项目
东华理工大学江西省数字国土重点实验室开放研究基金项目(DLLJ201709) （DLLJ201709）
华东师范大学地理信息科学教育部重点实验室开放基金项目(KLGIS2017A02) （KLGIS2017A02）
地理国情监测国家测绘地理信息局重点实验室开放基金项目(2016NGCM02) （2016NGCM02）
区域开发与环境响应湖北省重点实验室开放基金项目(2017(B)003) （2017(B）
山东理工大学博士科研启动基金项目(4041/416027)资助This work is supported by the Open Fund of Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of Technology (Grant No.DLLJ201709),the Open Fund of Key Laboratory of Geographic Information Science (Ministry of Education),East China Normal University (Grant No.KLGIS2017A02),the Open Fund of Key Laboratory for National Geographic Census and Monitoring,National Administration of Surveying,Mapping and Geoinformation (Grant No.2016NGCM02),the Project of Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University )(Grant No.2017(B)003),and the Initial Scientific Research Fund of Doctor in Shandong University of Technology (Grant No.4041/416027). （4041/416027）
