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Ecological environmental quality evaluation and driving factor analysis of the Lijiang River Basin,based on Google Earth Engine

基于Google Earth Engine的漓江流域生态环境质量评价及驱动因子分析
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摘要 For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region. 评价生态环境质量并分析其变化原因,对区域生态管理具有重要意义。本文基于Google Earth Engine(GEE)平台,计算1991年、2001年、2011年和2021年4个时期漓江流域的遥感生态指数,利用空间自相关分析漓江流域生态环境质量的时空变化,并运用地理探测器进一步定量解析影响生态环境质量的因素及其交互影响。结果表明:1)1991-2021年,漓江流域生态环境质量得到明显改善;生态环境质量较好和好的区域面积占比增加19.69%(3406.57 km^(2)),差和较差区域面积占比减少10.76%(1860.36 km^(2))。2)从空间上看,漓江流域生态环境质量呈中部低四周高的格局,其中,桂林市区、平乐县、灵川县生态环境质量较差,永福县、恭城瑶族自治县(东部和西北部)等高海拔地区生态环境质量有所改善。3)1991-2021年,漓江流域生态环境质量在空间上存在显著正相关关系,高-高集聚区以林地和草地为主,生态环境质量较好;低-低集聚区以耕地和建设用地为主,生态环境质量较差。4)年平均降水量和年平均气温对漓江流域生态环境的影响最大,且两者与其他因素相互作用影响力也最大。本研究旨在加强对漓江流域生态环境演变的认识,并为该地区生态环境相关决策和管理提供科学指导。
作者 WEI Xi YANG Dazhi CAI Xiangwen SHAO Ya TANG Xiangling 魏玺;阳大智;蔡湘文;邵亚;唐湘玲(桂林理工大学地球科学学院,桂林541006;中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室,北京100101;中国科学院大学资源与环境学院,北京100049)
出处 《中国生态农业学报(中英文)》 CAS CSCD 北大核心 2024年第9期1592-1608,共17页 Chinese Journal of Eco-Agriculture
基金 supported by the Guangxi Natural Science Foundation(2020GXNSFAA297266) Doctoral Research Foundation of Guilin University of Technology(GUTQDJJ2007059) Guangxi Hidden Metallic Mineral Exploration Key Laboratory。
关键词 Ecological environmental quality Remote sensing ecological index Driving factor Google Earth Engine Lijiang River Basin 生态环境质量 遥感生态指数 驱动因子 Google Earth Engine 漓江流域
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