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Optimizing the ecological network of resource-based cities to enhance the resilience of regional ecological networks.
Zhao, Yuxi; Zhang, Ming; Zhao, Dongxue; Duo, Linghua; Lu, Chunyang.
Afiliação
  • Zhao Y; Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, 330013, China.
  • Zhang M; School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, 330013, China.
  • Zhao D; Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, 330013, China. mzhang@ecut.edu.cn.
  • Duo L; School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, 330013, China. mzhang@ecut.edu.cn.
  • Lu C; Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton Campus, Gatton, QLD, 4343, Australia.
Environ Sci Pollut Res Int ; 31(11): 17182-17205, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38334919
ABSTRACT
Mineral extraction in resource-based cities has caused serious damage to the original ecology, resulting in poor regional vegetation growth, reduced carbon sequestration capacity, and reduced ecosystem resilience. Especially in resource-based cities with fragile ecology, the overall anti-interference ability of the environment is relatively worse. Seeking ecological network optimization solutions that can improve vegetation growth conditions on a large scale is an effective way to enhance the resilience of regional ecosystems. This paper introduces carbon sequestration indicators and designs a differential ecological networks (ENs) optimization model (FTCC model) to achieve the goal of improving ecosystem resilience. The model identifies the patches that need to be optimized and their optimization directions based on the differences in ecological function-topology-connectivity-carbon sequestration of the patches. Finally, the resilience of the ecological network before and after optimization was compared, proving that the model is effective. The results show that the sources in the Yulin ENs form three main clusters, with connectivity between clusters relying on only a few patches. The patches in the northeastern and southwest clusters are large but their ecological functions need to be improved. After optimization, 16 new stepping stones were added, 38 new corridors were added, and the ecological function of 39 patches was enhanced. The optimized ecological network resilience was improved in terms of structure, function, and carbon sinks, and carbon sinks increased by 6364.5 tons. This study provides a reference for measures to optimize landscape space and manage ecosystem resilience enhancement in resource-based cities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Resiliência Psicológica País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Resiliência Psicológica País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article