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基于生态系统服务簇的珠江源区生态功能分区

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识别生态系统服务簇,进行珠江源生态功能分区,为珠江源区土地利用格局优化、生物多样性保护、生态修复以及土地资源精准管控提供理论指导与技术支撑.研究基于InVEST模型和食物供给模型对珠江源区2010-2020年的生境质量、土壤保持、水源供给、碳储量和食物供给5项重要生态系统服务进行评估,运用Python平台实现轮廓系数算法并确定最佳聚类数,通过SPSS软件进行K-means聚类分析识别生态系统服务簇,并基于XGBoost机器学习算法,结合SHAP模型解释法探讨了生态系统服务簇的影响因素.结果表明:(1)珠江源区自然生态系统服务功能总体上呈现退化趋势.生境质量、碳储量和水源供给高值区占据珠江源区大多数地区,土壤保持呈现南北两侧高于中部的空间格局,食物供给与土地利用分布较为一致.(2)生态保育区乡镇数占比不断上升,主要分布在珠江源区北部和东南部的山地丘陵;城镇发展区乡镇数占比保持不变,位于珠江源区中部麒麟区;供给服务区乡镇数占比变化不大,分布在珠江源区中部和西南部平原.(3)坡度、生产总值和人为影响指数对生态系统服务簇的形成有着较为重要的影响,自然环境因素仍是生态系统服务的决定性因素.
Ecological Function Zoning of the Pearl River Source Area Based on Ecosystem Service Clusters
Ecosystem service clustering is an important means for managing regional ecological func-tion zoning,and ecological function zoning can provide theoretical support and technical guidance for regional land use pattern optimization,biodiversity conservation,ecological restoration,and precise management and control of land resources.The source area of the Pearl River,with karst geology is ecologically fragile and an important source of Asian rivers.It is also an important part of the ecolog-ical barrier in southern China and a key area for sustainable development and ecological civilization construction.In this study,based on the In VEST model and a food supply model,we evaluated five important ecosystem services provided by the Pearl River source area:habitat quality,soil retention,water supply,carbon storage,and food provision during the decade 2010-2020.The evaluation proce-dure involved elucidating spatio-temporal distribution patterns,identifying ecosystem service clusters,ecological function zoning,and identifying factors that influence ecosystem service clusters.First,a contour coefficient algorithm was developed on a Python platform and the optimal number of clusters was determined.Then K-means cluster analysis was carried out using SPSS software to identify eco-system service clusters.Finally,based on a XGBoost machine learning algorithm,the factors influenc-ing ecosystem service clusters were identified and interpreted using the SHAP model interpretation method to measure the contribution each predictor in the machine learning model.Results show that:(1)Ecosystem services provided by the Pearl River source area tended toward degradation and their overall value decreased during the 10-year study period.High-value areas of habitat quality,carbon storage and water supply occupied most of the Pearl River source area.Soil conservation in the north-ern and southern areas were higher than that in the central area,and the distribution of food supply was generally consistent with the land use.(2)The proportion of townships in ecological conservation areas continuously increased and is primarily distributed in the mountainous and hilly regions in the north and southeast of the source area.The proportion of developed urban area,located in Qilin Dis-trict in the central part of the source area has not changed.The proportion of townships in the supply service area changed little and is distributed in the central and southwestern plains of the source area.(3)Slope,gross domestic product(GDP)and anthropogenic impact index had large impacts on the formation of ecosystem service clusters,and natural environmental conditions remained as the deci-sive factors for ecosystem services.Ecological function zoning is important for achieving sustainable socio-economic development and constructing an ecological civilization in the source area of the Pearl River.

ecosystem service clustersInVEST modelK-means cluster analysisecological function zoningPearl River source area

吴福荣、税伟、马永强、巫殷攀、郭梦洁、杨春宇、王子凡

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福州大学环境与安全工程学院,福建 福州 350116

福州大学区域与城乡规划研究中心,福建 福州 350116

福州大学数字中国研究院(福建),福建 福州 350116

福建农林大学安溪茶学院,福建 福州 362406

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生态系统服务簇 InVEST模型 K-means聚类分析 生态功能分区 珠江源区

2025

水生态学杂志
水利部中国科学院水工程生态研究所

水生态学杂志

北大核心
影响因子:0.704
ISSN:1674-3075
年,卷(期):2025.46(1)