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Data from: Identifying priority areas to guide management planning of a protected area network to support snow leopard (Panthera uncia) in Asia

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Jun 08, 2026 version files 273.48 KB
Aug 20, 2026 version files 3.69 MB

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Abstract

Protected areas (PAs) remain central to global biodiversity strategies to reduce accelerating declines in biodiversity; ensuring proper management, coverage, and placement of PAs is key to facilitating connectivity for wildlife populations. Graph theory approaches provide a rigorous framework to evaluate the connectivity performance of existing or proposed PAs. This study aimed to evaluate the effectiveness of an existing protected area network across Central Asia in providing functional connectivity for the snow leopard (Panthera uncia). We used the Integral Index of Connectivity (IIC) and its fractions to rank each PA’s contribution to functional connectivity of the network, and to prioritize individual PAs. We also analyzed PA’s degree of protection in relation to their importance for connectivity, and compared the current PA network to previously identified conservation areas. We found that some PAs that ranked as of high importance for connectivity showed lower degrees of official protection, including PAs that were deemed irreplaceable as connectors. Protected areas critical to maintaining and increasing connectivity were identified and ranked across the range, as well as areas of conservation interest that may not be currently protected. Practical implication: our findings provide decision support for revising PA boundaries and elevating the egal status of high-value sites. We anticipate upgraded protection status, a nd selective expansion or addition of PAs can enhance and protect functional connectivity for not only snow leopard, but other high-altitude species as well, and assist countries in meeting global biodiversity goals as outlined in the Kunming-Montreal Global Biodiversity Framework, particularly Target 3 (30x30) and Target 12 (enhancing connectivity).