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Integrating spatial continuous wavelet transform and kernel density estimation to identify ecological corridors in megacities
Landscape and Urban Planning ( IF 9.1 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.landurbplan.2020.103815 Jianquan Dong , Jian Peng , Yanxu Liu , Sijing Qiu , Yinan Han
Landscape and Urban Planning ( IF 9.1 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.landurbplan.2020.103815 Jianquan Dong , Jian Peng , Yanxu Liu , Sijing Qiu , Yinan Han
Abstract Ecological corridors are effective to prevent ecosystem degradation and biodiversity loss through promoting the connection among discrete habitat patches. Identifying ecological corridors is of great importance for biodiversity conservation and landscape planning. Previous studies mainly focused on the directions of ecological corridors among habitat patches and the boundaries of ecological corridors were usually subjectively identified. In this study a new approach integrating spatial continuous wavelet transform and kernel density estimation was proposed to objectively identify the width thresholds of ecological corridors in the megacity of Beijing City, with the application of InVEST model to extract core habitat patches, and constructing the ecological resistance surface based on natural conditions and human activities. The restoration coefficient was also defined and applied to determine the key restoration areas. The results showed that the total area of core habitat patches in Beijing City was 3652.75 km2, with 1414.67 km2 for ecological corridors, mainly distributed in the western and northern mountainous areas. 36 key restoration areas were also extracted, mainly located in the narrow areas with large resistance. Identifying the range and key restoration areas of ecological corridors can provide spatial guidelines for ecological conservation and restoration, thus ensuring regional ecological security in megacities.
更新日期：2020-07-01
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