Background:With the increasing fragmentation of landscape induced by rapid urbanization,the construction of ecological networks is of great signifcance to alleviate the degradation of urban habitats and protect natura...Background:With the increasing fragmentation of landscape induced by rapid urbanization,the construction of ecological networks is of great signifcance to alleviate the degradation of urban habitats and protect natural envi‑ronments.However,there is considerable uncertainty when constructing ecological networks,especially the difer‑ent approaches to selecting ecological sources.We used the southern Chinese city of Shenzhen as a study area to construct and optimize ecological networks using a coupling approach.Ecological source areas were extracted using morphological spatial pattern analysis(MSPA)and the landscape index method.Ecological networks were con‑structed using the minimal cumulative resistance(MCR)model and the gravity model.Stepping stones and ecological fault points were added in corridors to optimize the ecological network.Results:Ten core areas with maximum importance patch values were extracted by the landscape index method as ecological source areas according to MSPA,after which corridors between ecological sources were constructed based on the MCR model.The constructed ecological networks were optimized using 35 stepping stones and 17 ecologi‑cal fault points.The optimized ecological networks included 11 important corridors,34 general corridors,and seven potential corridors.The results of corridor landscape-type analysis showed that a suitable ecological corridor is 60 to 200 m wide.Conclusions:Overall,our results imply that ecological source areas can be identifed virtually,and that ecological networks can be signifcantly optimized by combining MSPA and MCR models.These results provide a methodologi‑cal reference for constructing ecological networks,and they will be useful for urban planning and biodiversity protec‑tion in Shenzhen and other similar regions around the world.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.41901027)the Natural Science Foundation of Guangdong Province,China(Grant No.2021A1515012208)the China Postdoctoral Science Foundation(Grant Nos.2021T140222 and 2018M643110).
文摘Background:With the increasing fragmentation of landscape induced by rapid urbanization,the construction of ecological networks is of great signifcance to alleviate the degradation of urban habitats and protect natural envi‑ronments.However,there is considerable uncertainty when constructing ecological networks,especially the difer‑ent approaches to selecting ecological sources.We used the southern Chinese city of Shenzhen as a study area to construct and optimize ecological networks using a coupling approach.Ecological source areas were extracted using morphological spatial pattern analysis(MSPA)and the landscape index method.Ecological networks were con‑structed using the minimal cumulative resistance(MCR)model and the gravity model.Stepping stones and ecological fault points were added in corridors to optimize the ecological network.Results:Ten core areas with maximum importance patch values were extracted by the landscape index method as ecological source areas according to MSPA,after which corridors between ecological sources were constructed based on the MCR model.The constructed ecological networks were optimized using 35 stepping stones and 17 ecologi‑cal fault points.The optimized ecological networks included 11 important corridors,34 general corridors,and seven potential corridors.The results of corridor landscape-type analysis showed that a suitable ecological corridor is 60 to 200 m wide.Conclusions:Overall,our results imply that ecological source areas can be identifed virtually,and that ecological networks can be signifcantly optimized by combining MSPA and MCR models.These results provide a methodologi‑cal reference for constructing ecological networks,and they will be useful for urban planning and biodiversity protec‑tion in Shenzhen and other similar regions around the world.