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Construction of ecological network with protected areas as the main region in Guangzhou City, China.
- Source :
- Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao; Jan2024, Vol. 35 Issue 1, p247-254, 8p
- Publication Year :
- 2024
-
Abstract
- In the context of the national ecological security development strategy, constructing regional ecological networks centered on protected areas and ecological corridors has become an urgent issue in protected areas system development of China. We focused on strengthening ecological connections between protected areas in Guangzhou, identified the ecological resource patches, ecological corridors, and ecological nodes by using Invest model, connectivity analysis, circuit theory models, and graph-theoretical network structure evaluation, and constructed an ecological network for the Guangzhou with nature reserves as the core. The results showed that 52 ecological resource patches were identified in the study area, covering a total area of 1450.01 km². Nature reserves accounted for 76.4% of the total area, forming the main part of the ecological resource patches. 115 ecological corridors were identified, with a total length of 900.56 km and an average length of 7.83 km. Furthermore, 72 ecological key points were identified, covering a total area of 17.57 km², and 81 ecological breakpoints, with a total area of 35.9 km². The network structure indices (α = 0.65, β = 2.21, and γ = 0.77) indicated a reasonably structured and well-connected network. By exploring pathways for constructing regional ecological networks under the protected areas system and enriching the application of circuit theory models in ecological network construction, this study provides scientific basis for regional ecological security and biodiversity conservation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10019332
- Volume :
- 35
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao
- Publication Type :
- Academic Journal
- Accession number :
- 175166836
- Full Text :
- https://doi.org/10.13287/j.1001-9332.202401.023