Identification of critical ecological areas using the ecosystem multifunctionality-stability-integrity framework: A case study in the Yellow River basin, China

城市化 生态系统 鉴定(生物学) 生态稳定性 生物多样性 构造盆地 环境科学 环境资源管理 中国 流域 生态学 生态系统服务 地理 水资源管理 生物 地图学 古生物学 考古
作者
Yunlong Zhang,Y.K. Wang,Bojie Fu,Yihe Lü,Xiao Liang,Yingying Yang,Ruiming Ma,Shengjun Yan,Xing Wu
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:348: 119296-119296 被引量:7
标识
DOI:10.1016/j.jenvman.2023.119296
摘要

Critical ecological areas (CEAs), as important regions for biodiversity and ecosystem functions, are crucial for ecological conservation and environmental management at regional and global scales. However, the methodology and framework of CEA identification have not been well established. In this study, a comprehensive CEA identification method was developed based on the ecosystem multifunctionality-stability-integrity framework by using K-means clustering, critical slowing down theory and possible connectivity. Taking the Yellow River basin (YRB) as a case study, our results showed that ecosystem multifunctionality gradually decreased from the southeast to northwest. A decrease in ecosystem stability was observed since 2017 and was mainly due to the increased impacts of human activities and urbanization within the 10-20 km distance threshold from the ecosystem. Based on the proposed framework, 15.13% of the YRB was identified as CEAs with reliable estimates, and most areas were distributed in the Three-River Headwaters, Qinling and Taihang Mountains. Moreover, urbanization and precipitation were found to be the dominant environmental factors affecting the CEA distribution in the YRB. Our results indicated that the proposed framework could provide a comprehensive approach for CEA identification and useful implications for ecological conservation and environmental management.
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