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

PEI Xing-yu; ZHANG Jun-yi; QIU Da-e

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China Environmental Science ›› 2026, Vol. 46 ›› Issue (1) : 329-341.

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

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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.

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urban-rural gradient / ecosystem service value / coupling coordination degree / Chengdu-Chongqing Economic Circle

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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

References

[1] Tu G Y, Lu Q, Zhang F Q, et al. The spatio-temporal interactions between rapid urbanization and multiple ecosystem services at the county scale in the Poyang Lake Basin[J]. Geomatics Natural Hazards & Risk, 2025,16(1):2480252.
[2] 聂家龙,官冬杰,樊晓凤,等.长江流域城市蔓延对生态系统服务损失量的影响分析[J]. 中国环境科学, 2025,45(4):2147-2158. Nie J L, Guan D J, Fan X F, et al. Analysis of the impact of urban sprawl on the loss of ecosystem services in the Yangtze River Basin[J]. China Environmental Science, 2025,45(4):2147-2158.
[3] Wang C, Liu Y, Chen J, et al. Turning points of the relationship between human activity and environmental quality in China[J]. Sustainable Cities and Society, 2025,119:106123.
[4] Gashaw T, Tulu T, Argaw M, et al. Estimating the impacts of land use/land cover changes on Ecosystem Service Values: The case of the Andassa watershed in the Upper Blue Nile basin of Ethiopia[J]. Ecosystem Services, 2018,31:219-228.
[5] Costanza R. The value of the world's ecosystem services and natural capital[J]. Nature, 1997,387:253-260.
[6] Costanza R, De Groot R, Braat L, et al. Twenty years of ecosystem services: How far have we come and how far do we still need to go?[J]. Ecosystem Services, 2017,28:1-16.
[7] 谢高地,张彩霞,张昌顺,等.中国生态系统服务的价值[J]. 资源科学, 2015,37(9):1740-1746. Xie G D, Zhang C X, Zhang C S, etc. The value of ecosystem services in China[J]. Resource Science, 2015,37(9): 1740-1746.
[8] 耿甜伟,陈海,张行,等.基于GWR的陕西省生态系统服务价值时空演变特征及影响因素分析[J]. 自然资源学报, 2020,35(7): 1714-1727. Geng T W, Chen H, Zhang X, et al. Spatial-temporal evolution characteristics and influencing factors of ecosystem service value in Shaanxi Province based on GWR[J]. Journal of Natural Resources, 2020,35(7):1714-1727.
[9] Chen S, Li G, Xu Z G, et al. Combined impact of socioeconomic forces and policy implications: Spatial-temporal dynamics of the ecosystem services value in Yangtze River Delta, China[J]. Sustainability, 2019,11(9):2622.
[10] 陈美景,王庆日,白中科,等.黄河流域资源型城市土地利用转型及其对生态系统服务价值的影响[J]. 生态学报, 2023,43(22):9459- 9470. Chen M J, Wang Q R, Bai Z K, et al. Land use transition and its impact on ecosystem service value in resource-based cities in the Yellow River Basin[J]. Ecology, 2023,43(22):9459-9470.
[11] 宋心馨,张守志,王淑琪,等.基于PLUS模型的图们江流域生态系统服务价值情景模拟及驱动因素研究[J]. 水利水电技术(中英文), 2025,56(3):186-201. Song X X, Zhang S Z, Wang S Q, et al. Scenario simulation and driving factors of ecosystem service value in Tumen River Basin based on PLUS model[J]. Water conservancy and hydropower technology (Chinese and English), 2025,56(3):186-201.
[12] 李月,刘静兰,白晓永,等.长江上游重要水源涵养区生态系统服务价值的多尺度空间分异:格局、过程与驱动力解析[J]. 生态学报, 2025,(7):1-17. Li Y, Liu J L, Bai X Y, et al. Multi-scale spatial differentiation of ecosystem service value in important water conservation areas in the upper reaches of the Yangtze River: pattern, process and driving force analysis[J]. Ecology, 2025,(7):1-17.
[13] 李月,邱林,刘静兰,等.贵州马尾河流域生态系统服务价值的时空演变:驱动因子的曲线特征识别及其影响效应评估[J]. 环境科学, 2025,46(10):6393-6407. Li Y, Qiu L, Liu J L, et al. Spatio-temporal evolution of ecosystem service value in Mawei River Basin, Guizhou: curve feature identification of driving factors and evaluation of their effects[J]. Environmental science , 2025,46(10):6393-6407.
[14] 杨晓芳,于少康,罗志军,等.多尺度视角下环鄱阳湖区景观生态风险与生态系统服务的相互关系及分区管控[J]. 环境科学, 2025, 46(12):7918-7934. Yang X F, Yu S K, Luo Z J, et al. The relationship between landscape ecological risk and ecosystem services in the Poyang Lake area from a multi-scale perspective and zoning control[J]. Environmental science 2025,46(12):7918-7934.
[15] Veerkamp C J, Dunford R W, Harrison P A, et al. Future projections of biodiversity and ecosystem services in Europe with two integrated assessment models[J]. Regional Environmental Change, 2020,20(3): 103.
[16] 周雅萍,赵先超.长株潭城市群人类活动强度与生态系统服务价值空间关系[J]. 中国环境科学, 2024,44(5):2948-2960. Zhou Y P, Zhao X C. Spatial relationship between human activity intensity and ecosystem service value in Changsha-Zhuzhou- Xiangtan urban agglomeration[J]. Environmental Sciences of China, 2024,44(5):2948-2960.
[17] 陈明星,陆大道,张华.中国城市化水平的综合测度及其动力因子分析[J]. 地理学报, 2009,64(4):387-398. Chen M X, Lu A, Zhang H. Comprehensive measurement of China 's urbanization level and its dynamic factor analysis[J]. Journal of Geography, 2009,64(4):387-398.
[18] 吴晓青,胡远满,贺红士,等.SLEUTH城市扩展模型的应用与准确性评估[J]. 武汉大学学报(信息科学版), 2008,(3):293-296. Wu X Q, Hu Y M, He H S, et al. Application and accuracy evaluation of SLEUTH urban expansion model[J]. Journal of Wuhan University (Information Science Edition), 2008,(3):293- 296.
[19] 方创琳,周成虎,顾朝林,等.特大城市群地区城镇化与生态环境交互耦合效应解析的理论框架及技术路径[J]. 地理学报, 2016,71(4): 531-550. Fang C L, Zhou C H, Gu C L, et al. Theoretical framework and technical path for the analysis of the interactive coupling effect between urbanization and ecological environment in megalopolises[J]. Geography, 2016,71(4):531-550.
[20] 龚志冬,黄健元.长三角城市群城镇化质量测度[J]. 城市问题, 2019, (1):23-30. Gong Z D, Huang J Y. Urbanization quality measurement of Yangtze River Delta urban agglomeration[J]. City problem, 2019,(1): 23-30.
[21] Li R, Xu Q, Yu J, et al. Multiscale assessment of the spatiotemporal coupling relationship between urbanization and ecosystem service value along an urban–rural gradient:A case study of the Yangtze River Delta urban agglomeration, China[J]. Ecological Indicators, 2024,160: 111864.
[22] Van Vliet J, Birch-Thomsen T, Gallardo M, et al. Bridging the rural-urban dichotomy in land use science[J]. Journal of Land Use Science, 2020,15(5):585-591.
[23] Du Toit M J, Du Preez C, Cilliers S S. Plant diversity and conservation value of wetlands along a rural-urban gradient[J]. Bothalia, 2021,51(1):45-62.
[24] 王敏,余谦益,汪洁琼.融合景观特征识别和城乡梯度分析的滨水生境网络构建方法——以江苏省昆山市为例[J]. 中国园林, 2025, 41(1):117-124. Wang M, Yu Q Y, Wang J Q. A method for constructing a waterfront habitat network that integrates landscape feature recognition and urban-rural gradient analysis - A case study of Kunshan City, Jiangsu Province[J]. Chinese Landscape Architecture, 2025,41(1):117-124.
[25] 王旭,付学成,徐文甜,等.2000~2020年中国城乡热舒适梯度特征及其驱动因素[J]. 地理学报, 2024,79(5):1318-1336. Wang X, Fu X C, Xu W T, et al. Characteristics and driving factors of urban-rural thermal comfort gradient in China from 2000 to 2020[J]. Acta Geographica Sinica, 2024,79(5):1318-1336.
[26] 高星,宋昭颖,李晨曦,等.城乡梯度下的耕地多功能价值空间分异特征[J]. 农业工程学报, 2021,37(16):251-259. Gao X, Song Z Y, Li C X, et al. Spatial differentiation characteristics of multifunctional value of cultivated land under urban-rural gradient[J]. Journal of Agricultural Engineering, 2021,37(16):251-259.
[27] 李佩君,左德鹏,徐宗学,等.基于地形梯度的雅鲁藏布江流域土地利用及景观格局分析[J]. 山地学报, 2022,40(1):136-150. Li P J, Zuo D P, Xu Z X, et al. Analysis of land use and landscape pattern in Yarlung Zangbo River Basin based on topographic gradient[J]. Mountain Journal, 2022,40(1):136-150.
[28] 蔡振饶,方朝阳,何清华,等.基于景观聚类的南昌市主城区城乡梯度识别及其生态系统服务响应[J]. 环境科学研究, 2022,35(3):806- 817. Cai Zhenrao, Fang Chaoyang, He Qinghua, et al. Urban-rural gradient identification and ecosystem service response in the main urban area of Nanchang City based on landscape clustering[J]. Environmental Science, 2022,35(3):806-817.
[29] 刘美,杜国明,于凤荣,等.哈尔滨城乡梯度建设用地结构变化及不透水面遥感监测分析[J]. 遥感技术与应用, 2020,35(5):1206-1217. Liu M, Du G M, Yu F R, et al. Remote sensing monitoring and analysis of urban-rural gradient construction land structure change and impervious surface in Harbin[J]. Remote sensing technology and application, 2020,35(5):1206-1217.
[30] 黄玲玲.长江经济带城镇化与生态环境耦合协调时空变化及影响因素分析[J]. 长江流域资源与环境, 2024,33(12):2675-2687. Huang L L. Spatio-temporal changes and influencing factors of coupling and coordination between urbanization and ecological environment in the Yangtze River Economic Belt[J]. Resources and environment in the Yangtze River Basin, 2024,33(12):2675-2687.
[31] 杨吉鑫,崔许锋,张光宏.长江中游城市群城乡融合与碳排放耦合协调时空演化及影响因素[J]. 长江流域资源与环境, 2024,33(11): 2474-2487. Yang J X, Cui X F, Zhang G H. Spatio-temporal evolution and influencing factors of coupling and coordination between urban-rural integration and carbon emissions in urban agglomerations in the middle reaches of the Yangtze River[J]. Resources and Environment in the Yangtze River Basin, 2024,33(11): 2474-2487.
[32] 闫语,秦耀伟,东嘉琪,等.京津冀生态系统健康与人类活动强度空间关系及驱动因素分析[J]. 环境科学: 1-14. Yan Y, Qin Y W, Dong J Q, et al. Analysis of spatial relationship and driving factors between ecosystem health and human activity intensity in Beijing-Tianjin-Hebei[J].Environmental science: 1-14.
[33] 谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J]. 自然资源学报, 2003,(2):189-196. Xie G D, Lu C X, Leng Y F, et al. The valuation of ecological assets in the Qinghai-Tibet Plateau[J]. Journal of Natural Resources, 2003,(2): 189-196.
[34] 武燕,吴映梅,高彬嫔,等.成渝城市群生态系统服务价值与人类活动强度空间关系[J]. 水土保持研究, 2023,30(1):173-182. Wu Y, Wu Y M, Gao B Y, et al. Spatial relationship between ecosystem service value and human activity intensity in Chengdu- Chongqing urban agglomeration[J]. Soil and Water conservation research, 2023, 30(1):173-182.
[35] 谢贤健,苟千陶,黄安.快速城市化背景下重庆市生态系统服务价值时空特征及驱动因子分析[J].水土保持研究,2025,32(6):348-360, 369. Xie X J, Gou Q T, Huang A. Spatio-temporal characteristics and driving factors of ecosystem service value in Chongqing under the background of rapid urbanization[J]. Study on soil and water conservation, 2025,32(6):348-360,369.
[36] 赵兴赟,张强,杨方社,等.基于XGBoost-SHAP方法的陕西省PM_2.5影响因素分析[J]. 环境科学研究, 2025,38(5):990-999. Zhao X Y, Zhang Q, Yang F S, et al. Analysis of influencing factors of PM_2.5 in Shaanxi Province based on XGBoost-SHAP method[J]. Environmental Science Research, 2025,38(5):990-999.
[37] Wang Y P, Guan Z Y, Zhang Q. Exploring the magnitude threshold of urban PM_2.5 concentration: evidence from prefecture-level cities in China[J]. Environment Development and Sustainability, 2024,26(6): 14095-14112.
[38] 后睿,李丁,仝文露,等.成渝地区双城经济圈可持续城镇化状态评估[J]. 兰州大学学报(自然科学版), 2024,60(5):676-683. Hou R, Li D, Tong W L, et al. Evaluation of sustainable urbanization status of Chengdu-Chongqing Economic Circle[J]. Journal of Lanzhou University (Natural Science Edition), 2024,60(5): 676-683.
[39] 王晗,胡自远,李付全,等.基于夜间灯光的2000~2018年成渝地区城市化过程研究[J]. 遥感技术与应用, 2022,37(4):897-907. Wang H, Hu Z Y, Li F Q, et al. Study on urbanization process in Chengdu-Chongqing area from 2000 to 2018 based on nighttime light[J]. Remote Sensing Technology and Application, 2022,37(4):897- 907.
[40] Chen C, Park T, Wang X, et al. China and India lead in greening of the world through land-use management[J]. Nat Sustain, 2019,2:122- 129.
[41] 李佳滢,杨冬冬,杨菲,等.城市化背景下景观格局对天津市生态系统服务供需匹配的影响[J]. 生态学报, 2024,44(12):4987-5002. Li J Y, Yang D D, Yang F, et al. The impact of landscape pattern on the matching of supply and demand of ecosystem services in Tianjin under the background of urbanization[J]. Ecology, 2024, 44(12):4987-5002.
[42] 邱大鹅,张军以,杨晓雪.基于不同需求层次生态服务供需的四川盆地生态安全格局构建[J]. 中国环境科学, 2025,45(6):3343-58. Qiu D, Zhang J Y, Yang X X. Construction of ecological security pattern in Sichuan Basin based on the supply and demand of ecological services at different demand levels[J]. Environmental Science of China, 2025,45(6):3343-3358.
[43] 尹寒梅,徐雪梅,冯小琼,等.成都市城区PM_2.5中金属元素污染特征及来源[J]. 中国环境监测, 2025,41(2):114-122. Yin H M, Xu X M, Feng X Q, et al. Pollution characteristics and sources of metal elements in PM_2.5 in urban areas of Chengdu[J]. Environmental monitoring in China, 2025,41(2): 114-122.