Journal of Ecology and Rural Environment ›› 2020, Vol. 36 ›› Issue (1): 26-33.doi: 10.19741/j.issn.1673-4831.2019.0114

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Research on the Ecological Network Reconstruction of Traditional Mining City in East China

ZHU Feng, YANG Bao-dan, YANG Yong-jun, ZHANG Shao-liang, LI Gang, CHEN Fu   

  1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2019-03-04 Online:2020-01-25 Published:2020-01-17

Abstract: The ecological habitation fragments in the traditional mining city is severely fragmented. Reconstructing the ecological networks is greatly critical to the improvement of the regional ecosystem services, as well as the maintaining of biodiversity and landscape diversity. For the reconstruction of the ecological safety network of Xuzhou City, morphological spatial pattern analysis (MSPA), and landscape index were used to extract the ecological sources with great value for the maintenance of urban ecosystems health. Then, the minimum cumulative resistance model (MCR) was used to build ecological resistance surfaces and extract the potential ecological corridors. Circuit theory combined with the graph theory and network structure analysis were used to quantitatively evaluate and optimize the ecological network. The results show that there are 237 ecological sources, mainly distributed in the southwest part of Xuzhou City, with a total area of 6 421.49 hm2. However, additional 70 small ecological habitats and 192 ecological corridors should be added to make up the deficiencies of current ecological network. The reconstruction of ecological network could obviously reduce the landscape fragmentation and patch separation, and increase the patch connectivity and adhesion degree, and as a result the regional landscape pattern and ecological security will be improved. This research could provide scientific reference for the transformation of the traditional mining cities, and redevelopment of inefficient land, as well as land space planning.

Key words: ecological network, morphological spatial pattern analysis (MSPA), landscape connectivity, minimal cumulative resistance model (MCR)

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