| 重庆市生态质量评价与影响因素分析 |
| Assessment and Influencing Factors of Ecological Quality in Chongqing |
| 投稿时间：2025-06-30 修订日期：2025-08-15 |
| DOI：10.19316/j.issn.1002-6002.2026.02.06 |
| 中文关键词: 重庆市 生态质量指数(EQI) 空间自相关 地理探测器 |
| 英文关键词:Chongqing ecological quality index(EQI) spatial autocorrelation geographic detector |
| 基金项目:重庆市生态环境监测中心环境监测科研发展基金项目(CQHJ-NBKY-2024-12) |
| 作者 | 单位 | E-mail | | 王胜蓝 | 重庆市生态环境监测中心, 重庆 401147
生态质量综合监测站重庆金佛山站(森林), 重庆 408400 | | | 杨敏 | 重庆市生态环境监测中心, 重庆 401147
生态质量综合监测站重庆金佛山站(森林), 重庆 408400 | | | 王陶 | 重庆市生态环境监测中心, 重庆 401147
生态质量综合监测站重庆金佛山站(森林), 重庆 408400 | | | 金旺 | 重庆市生态环境监测中心, 重庆 401147
生态质量综合监测站重庆金佛山站(森林), 重庆 408400 | | | 周密 | 重庆市生态环境监测中心, 重庆 401147
生态质量综合监测站重庆金佛山站(森林), 重庆 408400 | | | 唐双立 | 重庆市生态环境监测中心, 重庆 401147
生态质量综合监测站重庆金佛山站(森林), 重庆 408400 | tangsl333@163.com |
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| 中文摘要: |
| 为探究重庆市2015—2024年生态质量状况,构建了生态质量评价体系,利用空间自相关和地理探测器方法,全面分析重庆市长时序下生态质量时空变化特征及影响因素。结果表明:2015—2024年重庆市生态质量指数(EQI)稳定保持在"二类",2024年达到最高值;区县EQI各年间均以"二类"为主,总体稳定向好。全局空间自相关结果显示,生态质量指数在空间上具有相关性;局部空间自相关结果显示,渝东北地区呈现高高集聚效应,主城都市区呈现低低集聚效应。因子探测结果显示,生态用地面积比指数、陆域开发干扰指数和生境质量指数在2015年和2024年的影响力最高,水网密度指数和水土保持指数的影响力较低;交互探测后,各因素的解释力均有所增强。 |
| 英文摘要: |
| In order to explore the ecological quality status of Chongqing from 2015 to 2024,an ecological quality evaluation system was constructed.Using spatial autocorrelation and geographical detector methods,a comprehensive analysis was conducted on the spatiotemporal variation characteristics and influencing factors of ecological quality in Chongqing over a long time series.The results showed that from 2015 to 2024,the Ecological Quality Index (EQI) of Chongqing remained stable at "Category II",reaching its highest value in 2024.The EQI of districts and counties was mainly "Category II" across years,with overall stable and positive changes.The results of global spatial autocorrelation showed that the EQI exhibited spatial correlation.The results of local spatial autocorrelation showed a high-high clustering effect in northeastern Chongqing and a low-low clustering effect in the main urban area.Factor detection results indicated that the ecological land area ratio index,land development interference index,and habitat quality index had the highest influence in 2015 and 2024,while the water network density index and soil and water conservation index had the lowest explanatory power.After interaction detection,the explanatory power of each factor was enhanced. |
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