2017 3rd International Conference on Environmental Science and Material Application | |
Selection of important ecological source patches base on Green Infrastructure theory: A case study of Wuhan city | |
生态环境科学;材料科学 | |
Ke, Yuanyuan^1 ; Yu, Yan^1 ; Tong, Yan^1 | |
School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, China^1 | |
关键词: Ecological environments; Ecological protection; Green infrastructure; Green infrastructure networks; Importance degrees; Natural conservation; Terrestrial organisms; Urban biodiversity; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/108/4/042078/pdf DOI : 10.1088/1755-1315/108/4/042078 |
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来源: IOP | |
【 摘 要 】
Selecting urban ecological patches is of great significance for constructing urban green infrastructure network, protecting urban biodiversity and ecological environment. With the support of GIS technology, a criterion for selecting sources of patches was developed according to existing planning. Then ecological source patches of terrestrial organism, aquatic and amphibious organism were selected in Wuhan city. To increase the connectivity of the ecological patches and achieve greater ecological protection benefits, the green infrastructure networks in Wuhan city were constructed with the minimum path analysis method. Finally, the characteristics of ecological source patches were analyzed with landscape metrics, and ecological protection importance degree of ecological source patches were evaluated comprehensively. The results showed that there were 23 important ecological source patches in Wuhan city, among which Sushan Temple Forest Patch, Lu Lake and Shangshe Lake Wetland Patch were the most important in all kinds of patches for ecological protection. This study can provide a scientific basis for the preservation of urban ecological space, the delineation of natural conservation areas and the protection of biological diversity.
【 预 览 】
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Selection of important ecological source patches base on Green Infrastructure theory: A case study of Wuhan city | 335KB | download |