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青海湖东北沙区植被恢复时空格局演变分析 被引量:2

Spatial-temporal pattern analysis of vegetation restoration in sandy areas of northeast Qinghai Lake
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摘要 基于高分卫星数据,运用随机森林法、景观生态学和地理空间统计学方法分析青海湖东北沙区植被恢复时空格局、评估沙漠化逆转状态。结果表明:1)受青海湖水位上升淹没临湖低洼区及沙区边缘交错带植被恢复的双重影响,2013—2021年青海湖东北沙区范围收缩;2)沙区植被景观呈阶段性变化,表现出覆盖度偏低、破碎度较高、蔓延度中等、稳定性不足等宏观特征;3)沙区植被呈现水平空间聚集性和垂直空间海拔规律性,较高等级覆盖度植被主要聚集在尕海沙区西部沿湖区域、东南角区域以及克土沙区东部边缘地带,表现出显著的局部空间正相关。 Based on GF1 satellite data,the spatial and temporal patterns of vegetation restoration in the northeast sandy area of Qinghai Lake were analyzed by using random forest method,landscape ecology and geospatial statistics,to evaluate the state of desertification reversal.The results show that:1)Due to the double impact of the rising water level of Qinghai Lake and the inundation of the adjacent low-lying lake and the reversal of vegetation restoration in the interlacing zone at the edge of the sandy area,the area of the northeast sandy area shrank from 2013 to 2021.2)The vegetation landscape in the sandy area showed stage changes,showing macro characteristics such as low coverage,high fragmentation,medium spread,and insufficient stability.3)The vegetation in the sandy area showed horizontal spatial aggregation and vertical spatial elevation regularity,and the higher coverage was mainly concentrated in the western lakeside area of Gahai sandy area,the southeast corner area and the eastern edge of the Ketu sandy area,showing a significant local spatial positive correlation.
作者 祝存兄 孙树娇 肖建设 乔斌 ZHU Cunxiong;SUN Shujiao;XIAO Jianshe;QIAO Bin(Qinghai Province Key Laboratory of Disaster Prevention and Mitigation,Xining 810001;Qinghai Province Institute of Meteorological Sciences,Xining 810001;College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610000,China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2023年第3期169-177,共9页 Journal of Arid Land Resources and Environment
基金 青海省防灾减灾重点实验室开放基金项目(QFZ-2021-Z07) 国家自然科学基金项目(42165014,41761078) 四川省科技厅项目(2022YFS0490) 科技部中国科技基础资源调查专项(2017FY10050)
关键词 沙漠化逆转 高分 随机森林 景观尺度 青海湖 Qinghai lake desertification reversal high marks random forest landscape scale
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