Result: 基于生态系统服务簇的珠江源区生态功能分区.
Further Information
Ecosystem service clustering is an important means for managing regional ecological function 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 ecological barrier in southern China and a key area for sustainable development and ecological civilization construction. In this study, based on the InVEST 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 procedure 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 ecosystem service clusters. Finally, based on a XGBoost machine learning algorithm, the factors influencing 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 northern 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 District 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 decisive 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. [ABSTRACT FROM AUTHOR]
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。. [ABSTRACT FROM AUTHOR]
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