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基于EQI和地理探测器的江苏省区县生态质量评价与驱动力分析
摘要点击 605  全文点击 62  投稿时间:2024-05-20  修订日期:2024-07-20
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中文关键词  江苏省  生态质量指数(EQI)  空间自相关  地理探测器  驱动力
英文关键词  Jiangsu Province  ecological quality index(EQI)  spatial autocorrelation  geographic detector  driving forces
作者单位E-mail
许伟伟 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018 xuweiwei5616@163.com 
臧协超 成都理工大学地球与行星科学学院, 成都 610059 zangxiechao@163.com 
金洋 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018  
汪媛媛 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018  
汪子意 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018  
任静华 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018  
贺新星 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018  
刘玲 江苏省地质调查研究院, 自然资源部国土(耕地)生态监测与修复工程技术创新中心, 南京 210018  
中文摘要
      近些年来,随着江苏省城市化进程快速推进,生态用地和生态环境发生明显变化,对生态质量提出严峻挑战. 为有效监测江苏省生态质量,促进生态系统修复,加强生态建设以及生物多样性保护,选取江苏省为研究区域,采用生态质量指数(EQI),选择生态格局、生态功能和生态胁迫这3个方面的12个指标,对江苏省2022年生态质量进行全面评估,并运用地理探测器进行影响因子分析. 结果表明:①江苏省生态质量指数平均值为50.58,整体生态质量良好,少量生态质量指数偏低的区县集中分布在研究区西北部的徐州市和长江沿岸城市. ②江苏省生态环境质量global Moran's I指数为0.276,呈现明显空间集聚效应,高-高和低-低集聚效应显著,而高-低或低-高的空间分异效应不明显. ③地理探测器的因子探测和交互探测结果显示,生态用地面积比指数(q=0.73)、生境质量指数(q=0.71)及陆域开发干扰指数(q=0.67)是生态环境质量最显著的3个影响因素. 交互作用中,生态用地面积比与陆域开发干扰指数组合效果最显著(q=0.923),对生态质量解释力最强. ④江苏省生态质量变化与夜间灯光和人口密度呈显著性负相关(相关系数分别为-0.70和-0.65),夜间灯光和人口密度因素在生态质量变化中起主导作用,年均降水和年均气温等自然因素的驱动作用不显著. 研究结果可为江苏省生态环境保护和生态文明建设提供理论基础和科学依据.
英文摘要
      In recent years, with the rapid urbanization process in Jiangsu Province, the ecological land and ecological environment have undergone significant changes, posing severe challenges to the ecological quality. In order to effectively monitor the ecological quality of Jiangsu Province, promote ecosystem restoration, and strengthen ecological construction as well as biodiversity conservation, Jiangsu Province was selected as the study area, and the ecological quality index (EQI) was used to comprehensively assess the ecological quality of Jiangsu Province in 2022 by selecting 12 indexes in three aspects: ecological pattern, ecological function, and ecological stress, and analyzing the impact factors by using a geographic detector. The research results indicate that: ① The average value of the ecological quality index in Jiangsu Province was 50.58, with good overall ecological quality, and a small number of districts and counties with low ecological quality indexes were concentrated in Xuzhou City and cities along the Yangtze River in the northwestern part of the study area. ② The global Moran's I index of ecological environment quality in Jiangsu Province was 0.276, showing obvious spatial aggregation effects, with significant high-high and low-low aggregation effects, while the spatial differentiation effects of high-low or low-high were not obvious. ③ Geographic detector factor detection and interaction detection revealed that the top three significant factors influencing ecological environment quality were the ecological land area ratio index (q=0.73), the habitat quality index (q=0.71), and the terrestrial development disturbance index (q=0.67). Among the interactions, the combination of the ecological land area ratio and the terrestrial development disturbance index had the most significant effect (q=0.923), providing the strongest explanatory power for ecological quality. ④ In Jiangsu Province, the changes in ecological quality were significantly negatively correlated with nighttime light and population density (correlation coefficients of -0.70 and -0.65, respectively). Nighttime light and population density were the dominant factors influencing changes in ecological quality, while natural factors such as annual precipitation and annual average temperature had an insignificant driving effect. The research results provide theoretical and scientific foundations for ecological environmental protection and ecological civilization construction in Jiangsu Province.

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