The dynamics of landscape-scale ecological connectivity based on least-cost model in Dongshan Island,China |
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| Authors: | Li-yun Wu Dong-jin He Wei-bin You Zhi-rong Ji Yong Tan Li-li Zhao |
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| Institution: | 1.Forestry College,Fujian Agriculture and Forestry University,Fuzhou,China |
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| Abstract: | As a hot topic in Landscape Ecology study, ecological connectivity is an important indicator for regional land sustainable use and biological protection. This paper conducted a systematic assessment of ecological connectivity using remote sensing images of Dongshan Island in 1994, 2003 and 2011. Based on least-cost modelling, the method takes into consideration the type of barrier, the distance impact, and the adjacent land use types to obtain the Barrier Effect Index (BEI) and Ecological Connectivity Index (ECI). The application of this method to Dongshan Island showed the ecological connectivity index (ECI) was low in 1994, improved in 2003, and decreased significantly in 2011. The results of the dynamic analysis of landscape structure showed farmland and roads were the main landscape classes that caused the low observed ECI in 1994 and 2003; these tended to divide the landscape and cause fragmentation. Construction land and roads were the main landscape classes resulting in low ECI in 2011, while forest and grassland had a high ECI. Trajectory analysis showed ECI tended to decrease in the low mountain forest zone of the northwestern and southeastern parts of Dongshan Island as well as in the coastal protection forest area. The areas where ECI became high were located in the northeastern part of Dongshan Island where cities and towns are concentrated with high human populations. Therefore, rapid urbanization has been the most important factor driving changes in landscape structure and patterns during the last 17 years on Dongshan Island. The approach not only assists us in revealing the driving mechanism of landscape dynamics from another aspect, but also can assess the impacts of regional and urban plans on landscape structure and function. |
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