Landscape connectivity dynamics based on network analysis in the Xishuangbanna Nature Reserve,China |
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| Institution: | 1. CNRS, UMR 6553 Ecobio, Université Rennes 1, Campus de Beaulieu, 35042 Rennes, France;2. CNRS, UMR 6554 LETG, Université Rennes 2, Campus de Villejean, 35043 Rennes, France;1. Universidad Central del Ecuador, Ciudadela Universitaria, Av. América S/N, Quito, Ecuador;2. Dpto. Ecuaciones Diferenciales y Análisis Numérico, Seville University, Spain;1. Suzhou Administration College, Suzhou 215011, China;2. Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna 666303, China;3. Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Mengla 666303, China;4. Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O. Box: 2713, Doha, Qatar;5. Environmental Science Center, Qatar University, P.O. Box: 2713, Doha, Qatar;1. Department of Environmental Sciences and Engineering, Fudan University, PR China;2. Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region |
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| Abstract: | Lack of landscape connectivity and habitat loss is major threats to biodiversity and ecosystem integrity in nature reserves aimed at conservation. In this study, we used structural pattern and functional connectivity metrics to analyze the spatial patterns and landscape connectivity of habitat patches for the Shangyong sub-reserve of the Xishuangbanna Nature Reserve from 1970, 1990, and 2000. On the basis of vegetation and land cover data, we applied the equivalent connected area ECA(PC) indicator to analyze the changes in forest connectivity. Four distance thresholds (2, 4, 8, 12 km) were considered to compare the patch importance of connectivity by dECA values. The results showed the declining trends of landscape connectivity measured by ECA(PC) index from 1970 to 2000. The importance of connectivity in each forest patch varied with the increment of dispersal distances at the patch level, and some important habitat patches, which exhibit a potential to enhance landscape connectivity, should be given more attention. The least-cost pathways based on network structure were displayed under four dispersal distances in three periods. The results showed that the number of paths among the fragments of forest patches exhibited radical increases for larger dispersal distances. Further correlation analyses of AWF, ECA (IIC), and ECA (PC) showed the weakest and least-frequent correlations with the structural pattern indices, while H presented more significant correlations with the PD fragmentation metric. Furthermore, Kendall's rank correlations between the forest patch area and functional connectivity indicators showed that dECA (PC) and dAWF indicators should provided the area-based prioritization of habitat patches. Moreover, the low-rank correlations showed that dF and dLCP can be considered as effective and appropriate indicators for the evaluation of habitat features and network patterns. |
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| Keywords: | Functional connectivity evaluation Equivalent connected area Effective distance Structural pattern metric Xishuangbanna Nature Reserve |
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