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Effective wildlife management requires robust habitat appraisal. Spatially explicit species distribution modelling (SDM), aided by advanced tools and collaboration with remote sensing, and geographical information system (GIS), is integral to conservation biology. Maxent models were employed to map the Asiatic black bear habitat in Sikkim Himalaya based on 12 camera trap points and 53 field GPS observations (a total of 65). Of 48 environmental variables employed, 20 shaped the distribution map, with key contributors like NDVI August (17.6%) and bio-14; precipitation of driest month (15.7%). Model validation showed a strong predictive ability (training AUC = 0.948 ± 0.01 SD, test AUC = 0.86 ± 0.04 SD), emphasizing these techniques’ importance in wildlife conservation in remote Himalayas.

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Spatially Explicit Conservation Planning: Habitat Modelling and Connectivity Exploration for Asiatic Black Bears in Sikkim Himalaya

  • 会议论文

  • 发表日期：

    2025年

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  • Nischal Gautam,
  • Samarjeet Borah,
  • Ratika Pradhan,
  • Bijoy Chhetri,
  • Kapila Sharma

摘要

Effective wildlife management requires robust habitat appraisal. Spatially explicit species distribution modelling (SDM), aided by advanced tools and collaboration with remote sensing, and geographical information system (GIS), is integral to conservation biology. Maxent models were employed to map the Asiatic black bear habitat in Sikkim Himalaya based on 12 camera trap points and 53 field GPS observations (a total of 65). Of 48 environmental variables employed, 20 shaped the distribution map, with key contributors like NDVI August (17.6%) and bio-14; precipitation of driest month (15.7%). Model validation showed a strong predictive ability (training AUC = 0.948 ± 0.01 SD, test AUC = 0.86 ± 0.04 SD), emphasizing these techniques’ importance in wildlife conservation in remote Himalayas.