成渝双城经济圈生态环境质量时空演变格局及其驱动力  

Analysis of spatial and temporal evolution patterns and driving forces of ecological environment quality in Chengdu⁃Chongqing Economic Circle

作　　者：赵晓燕 李永平[3] 谈树成 刘立冰[2] 刘飞鹏 ZHAO Xiaoyan;LI Yongping;TAN Shucheng;LIU Libing;LIU Feipeng(Institute of International Rivers and Ecological Security,Yunnan University,Kunming 650500,China;School of Geography and Resource Science,Neijjiang Normal University,Neijiang 641000,China;Office of International Exchange and Cooperation,Neijjiang Normal University,Neijiang 641000,China;School of Earth Science,Yunnan University,Kunming 650500,China;Yunnan International Joint Laboratory of Critical Mineral Resource,Kunming 650500,China;Southwest Survey and Planning Institute of National Forestry and Grassland Administration,Kunming 650031,China)

机构地区：[1]云南大学国际河流与生态安全研究院,昆明650500 [2]内江师范学院地理与资源科学学院,内江641000 [3]内江师范学院国际教育学院,内江641000 [4]云南大学地球科学学院,昆明650500 [5]云南省关键矿产成矿过程和机制国际联合实验室,昆明650500 [6]国家林业和草原局西南调查规划院,昆明650031

出　　处：《生态学报》2025年第1期319-333,共15页Acta Ecologica Sinica

基　　金：国家自然科学基金面上项目(42372104);云南省关键矿产成矿过程和机制国际联合实验室(202303AP140020);云南省教育厅研究生导师团队项目(CY22622205)。

摘　　要：成渝双城经济圈作为我国西部城镇化建设的重要示范区,探究其生态环境质量状况对推动区域社会经济高质量发展和长江上游生态环境保护意义重大。基于2000—2020年Landsat系列影像数据,运用绿度、湿度、热度、干度指标构建了遥感生态指数(Remote Sensing Ecological Index,RSEI),采用Sen(Theil⁃Sen median)斜率估计和MK(Mann⁃Kendall)检验相结合的趋势分析方法开展了区域生态环境质量时空变化特征研究。采用最优参数地理探测器模型(Optimal Parameters Geographic Detector,OPGD)优化了空间数据的尺度效应和分区效应,并对研究区生态环境质量的驱动力进行了分析。结果表明:(1)2000—2020年间,研究区生态环境质量整体较高,多年RSEI均值为0.63。生态环境质量以良和优为主,面积占比为61.37%。生态环境质量具有显著的空间异质性。在空间上呈“成都⁃重庆核心城市生态环境质量差,中间平原丘陵地区中等,四周质量优”的分布格局。(2)Sen⁃MK趋势分析表明,区域生态环境质量退化区域大于改善区域,两者面积之差占比为14.33%,表明研究区生态环境质量有显著下降趋势,应采取相应措施加强对区域生态环境的保护和修复。(3)最优参数地理探测器模型探测结果显示,驱动因子的最优空间尺度为5km,自然断点法、相等间隔分类、分位数分类、几何间隔分类和标准差分类5种离散方法有助于检测驱动因子的最优分类区间。绿度、湿度、热度、高程、坡度、年均气温是影响区域生态环境质量的主导因子,解释力q值大于56.95%。土地利用类型、人口密度、GDP、夜间灯光是次要驱动因子。驱动因子交互作用增强了对生态环境质量的影响。研究结果能为西部其他城市的发展提供借鉴,对推动长江上游生态环境保护和社会经济可持续、高质量发展提供科学依据。The Chengdu⁃Chongqing Economic Circle,as an essential demonstration area for urbanization in western China,is critical in determining the quality of the natural environment.This exploration intends to support high⁃quality regional socio⁃economic development as well as ecological environmental protection in the upper reaches of the Yangtze River.Based on Landsat series image data from 2000 to 2020,we constructed a Remote Sensing Ecological Index(RSEI)containing greenness,wetness,heat,and dryness indicators.The spatial and temporal changes in regional ecological quality were explored using a trend analysis method combining Sen(Theil⁃Sen median)slope estimation and MK(Mann⁃Kendall)test.Furthermore,we employed the Optimal Parameters Geographic Detector(OPGD)model to optimise the scale and zoning effects of the spatial data,and to analyzed the driving forces of ecological environment quality in the study area.The results showed that:(1)From 2000 to 2020,the ecological environment quality in the study area was generally high,with a multi⁃year RSEI average value of 0.63.The ecological environment quality mainly classified as good or Excellent,covering 61.37%of the area.The ecological environment quality has obviously spatial heterogeneity.The spatial distribution pattern indicates“poor ecological quality in the core city of Chengdu⁃Chongqing,average quality in the plains and hills region in the central part of the study area,and excellent quality in the surrounding area”.(2)According to the Sen⁃MK trend analysis showed that the degraded area of regional ecological environment quality is larger than the improved area,with the difference of 14.33%.This implies a considerable decline in the ecological environment quality of the research area,needing stronger steps to protect and restore the regional ecological environment.(3)The Optimal Parameters Geographic Detector model detection results showed that the optimal spatial scale for the drivers was 5 km.Additionally,five discrete methods⁃natural breaks

关 键 词：遥感生态指数 生态环境质量 时空格局 驱动力 最优参数地理探测器 成渝双城经济圈 

分 类 号：X321[环境科学与工程—环境工程] F127[经济管理—世界经济]