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黄河流域森林覆盖时空变化及驱动因素分析 被引量:3

Spatial and temporal changes of forest cover and its driving factors over the Yellow River basin
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摘要 为探究1990—2020年黄河流域森林覆盖时空变化及其驱动因素,本文基于土地覆盖、自然因素及人类活动数据,使用转移矩阵、Theil-Sen Median和Manna-Kendall趋势分析、地理探测器进行了研究。结果表明:①黄河流域森林覆盖范围扩大,覆盖面积增加近2万km 2;②1990—2020年,黄河流域168个县的森林覆盖率呈增长趋势,仅两个县的森林覆盖率减少;③基于地理探测器的结果表明,短波辐射对森林覆盖分布解释力最大,交互探测表明,降雨和高程的交互作用对森林覆盖分布解释力最强。本文可为黄河流域生态环境高质量发展提供科学参考。 To investigate the spatio-temporal changes and driving factors of forest coverage from 1990 to 2020 in the Yellow River Basin,this study employs land use and land cover data,natural factors,and human activity data,and uses transfer matrix,Theil-Sen Median and Manna-Kendall trend analysis,and geographic detectors for research.The results show that:①The forest coverage area has expanded in the Yellow River basin,with an increase of nearly 20000 km 2.②From 1990 to 2020,the forest coverage rate of 168 counties increased in the Yellow River basin,with only two counties showing a decrease in forest coverage.③Based on geographic detectors,shortwave radiation has the greatest explanatory power for the distribution of forest coverage,while the interaction of rainfall and elevation has the strongest explanatory power in the analysis of factor interaction.This study can provide a scientific reference for the high-quality development of the ecological environment in the Yellow River basin.
作者 马京京 高美玲 李振洪 许慧慧 彭建兵 MA Jingjing;GAO Meiling;LI Zhenhong;XU Huihui;PENG Jianbing(College of Geological Engineering and Geomatics,Chang an University,Xi an 710054,China;Big Data Center for Geosciences and Satellites,Chang an University,Xi an 710054,China;Key Laboratory of Western China's Mineral Resources and Geological Engineering,Ministry of Education,Xi an 710054,China)
出处 《测绘通报》 CSCD 北大核心 2023年第7期51-57,共7页 Bulletin of Surveying and Mapping
基金 国家自然科学基金(42001382) 陕西省科技创新团队项目(2021TD-51) 陕西省自然科学研究计划(2021JQ-238) 中央高校基本科研业务费专项(300102260301,300102262902,300102261108)。
关键词 黄河流域 森林覆盖 地理探测器 趋势分析 驱动因素 Yellow River basin forest cover geographical detectors trend analysis driving factors
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