成渝地区双城经济圈多维城乡梯度的生态系统服务价值响应及驱动因素分析

裴星羽; 张军以; 邱大鹅

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中国环境科学 ›› 2026, Vol. 46 ›› Issue (1) : 329-341.

环境生态

成渝地区双城经济圈多维城乡梯度的生态系统服务价值响应及驱动因素分析

裴星羽¹, 张军以^1,2, 邱大鹅¹

作者信息 +

Analysis of ecosystem service value response and driving factors along the multidimensional urban-rural gradient in the Chengdu-Chongqing Economic Circle

PEI Xing-yu¹, ZHANG Jun-yi^1,2, QIU Da-e¹

Author information +

文章历史 +

摘要

基于土地利用、夜间灯光、POI数据等,利用耦合协调度、XGBoost-SHAP模型,从格网尺度分析了2012~2022年成渝地区双城经济圈多维城乡梯度下的生态系统服务价值(ESV)响应特征与两者的耦合协调度(CCD)空间分异、驱动因素.结果表明:2012~2022年成渝地区双城经济圈ESV呈上升趋势,增长了129.8亿元.城乡梯度空间分异上,近郊空间占比由0.55%上升到0.89%,增长了61.8%,是增长最快的空间类型,城乡空间近郊化趋势明显.城市空间占比由0.15%上升到0.21%,乡村空间占比由96.67%下降到94.25%,城乡梯度空间分异显著.成渝地区双城经济圈的CCD与ESV在城市化空间变化上存在负相关关系,其中CCD处于初级协调阶段且呈缓慢下降趋势.在乡村向城市过渡方向上,ESV呈下降趋势,CCD呈增长趋势.人口密度、植被归一化指数、PM_2.5浓度、土地利用变化是影响成渝地区双城经济圈城乡梯度与生态系统服务价值CCD的重要因素,并存在非线性影响作用.

Abstract

Based on land use, night-time light, POI data, etc., we used the coupling coordination degree and XGBoost-SHAP model, the response characteristics of ecosystem service value (ESV) and the spatial differentiation and driving factors of coupling coordination degree (CCD) under the multi-dimensional urban-rural gradient of Chengdu-Chongqing Economic Circle from 2012 to 2022 were analyzed from the grid scale. It was found that the ESV of the Chengdu-Chongqing Economic Circle showed an increasing trend during the study period, with a total increase of 12.98 billion CNY. In terms of spatial differentiation along the urban-rural gradient, the proportion of suburban space was observed to rise from 0.55% to 0.89%, representing a growth rate of 61.8%, making it the fastest-growing spatial category and indicating a notable trend of suburbanization. The proportion of urban space increased from 0.15% to 0.21%, while that of rural space decreased from 96.67% to 94.25%. A negative correlation between CCD and ESV was identified in the urbanization process of the Chengdu-Chongqing Economic Circle. The CCD was found to be at the preliminary coordination stage and exhibited a slight declining trend. Along the transition from rural to urban areas, ESV was shown to decrease, while CCD demonstrated an increasing trend. Key factors influencing the urban–rural gradient and the CCD of ecosystem service value were identified as population density, normalized difference vegetation index (NDVI), PM_2.5 concentration, and land use change, all of which were revealed to exhibit nonlinear effects.

导出引用

裴星羽, 张军以, 邱大鹅. 成渝地区双城经济圈多维城乡梯度的生态系统服务价值响应及驱动因素分析[J]. 中国环境科学. 2026, 46(1): 329-341

PEI Xing-yu, ZHANG Jun-yi, QIU Da-e. Analysis of ecosystem service value response and driving factors along the multidimensional urban-rural gradient in the Chengdu-Chongqing Economic Circle[J]. China Environmental Science. 2026, 46(1): 329-341

中图分类号： X171

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