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Coupling urban 3-D information and circuit theory to advance the development of urban ecological networks
Conservation Biology ( IF 6.3 ) Pub Date : 2021-01-21 , DOI: 10.1111/cobi.13682 Fanhua Kong 1 , Ding Wang 1 , Haiwei Yin 2 , Iryna Dronova 3 , Fan Fei 2 , Jiayu Chen 1 , Yingxia Pu 1 , Manchun Li 4
Conservation Biology ( IF 6.3 ) Pub Date : 2021-01-21 , DOI: 10.1111/cobi.13682 Fanhua Kong 1 , Ding Wang 1 , Haiwei Yin 2 , Iryna Dronova 3 , Fan Fei 2 , Jiayu Chen 1 , Yingxia Pu 1 , Manchun Li 4
Affiliation
Ongoing, rapid urban growth accompanied by habitat fragmentation and loss challenges biodiversity conservation and leads to decreases in ecosystem services. Application of the concept of ecological networks in the preservation and restoration of connections among isolated patches of natural areas is a powerful conservation strategy. However, previous approaches often failed to objectively consider the impacts of complex 3-D city environments on ecological niches. We used airborne lidar-derived information on the 3-D structure of the built environment and vegetation and detailed land use and cover data to characterize habitat quality, niche diversity, and human disturbance and to predict habitat connectivity among 38 identified habitat core areas (HCAs) in Nanjing, China. We used circuit theory and Linkage Mapper to create a landscape resistance layer, simulate habitat connectivity, and identify and prioritize important corridors. We mapped 64 links by using current flow centrality to evaluate each HCA's contribution and the links that facilitate intact connectivity. Values were highest for HCA links located in the west, south, and northeast of the study area, where natural forests with complex 3-D structures predominate. Two smaller HCA areas had high centrality scores relative to their extents, which means they could act as important stepping stones in connectivity planning. The mapped pinch-point regions had narrow and fragile links among the HCAs, suggesting they require special protection. The barriers with the highest impact scores were mainly located at the HCA connections to Purple Mountain and, based on these high scores, are more likely to indicate important locations that can be restored to improve potential connections. Our novel framework allowed us to sufficiently convey spatially explicit information to identify targets for habitat restoration and potential pathways for species movement and dispersal. Such information is critical for assessing existing or potential habitats and corridors and developing strategic plans to balance habitat conservation and other land uses based on scientifically informed connectivity planning and implementation.
更新日期：2021-01-21
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