Construction of ecological network in Qujing city based on MSPA and MCR models

被引:1
|
作者
Qin, Ji-zheng [1 ]
Dai, Ji-ping [1 ]
Li, Song-hui [2 ]
Zhang, Jia-zhen [3 ]
Peng, Jian-song [1 ]
机构
[1] Southwest Forestry Univ, Kunming 650224, Yunnan, Peoples R China
[2] Tengchong Forestry & Grassland Adm, Tengchong 679100, Yunnan, Peoples R China
[3] Qujing Forestry & Grassland Adm, Qujing 655000, Yunnan, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
MSPA-MCR model; Evaluation of ecological network connectivity; Geospatial data; Ecological network; Qilin district;
D O I
10.1038/s41598-024-60048-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
With the rapid advancement of urbanization and industrialization, ecological patches within cities and towns are fragmented and ecological corridors are cut off, regional ecological security is threatened and sustainable development is hindered. Building an ecological network that conforms to regional realities can connect fragmented patches, protect biodiversity and regional characteristics, and provide scientific reference for regional ecological protection and ecological network planning. By taking Qilin District, the main urban area of Qujing City as an example, and using geospatial data as the main data source, based on morphological spatial pattern analysis (MSPA) and minimum cumulative resistance (MCR), this study identified ecological source areas, extracted ecological corridors, and build & optimize ecological networks. (1) All landscape types are identified based on MSPA, the proportion of core area was the highest among all landscape types, which was 80.69%, combined with the connectivity evaluation, 14 important ecological source areas were selected. (2) 91 potential ecological corridors were extracted through MCR and gravity models, there were 16 important ones. (3) The network connectivity analysis method is used to calculate the alpha, beta, and gamma indexes of the ecological network before optimization, which were 2.36, 6.5, and 2.53, while after optimization, alpha, beta and gamma indices were 3.8, 9.5 and 3.5, respectively. The combined application of MSPA-MCR model and ecological network connectivity analysis evaluation is conducive to improving the structure and functionality of ecological network.
引用
收藏
页数:11
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