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Potential Range Map Dataset of Indian Birds

Author

Listed:
  • Arpit Deomurari

    (Amity Institute of Forestry and Wildlife, Amity University, Noida 201313, India)

  • Ajay Sharma

    (College of Forestry, Wildlife and Environment, Auburn University, Auburn, AL 36849, USA)

  • Dipankar Ghose

    (World Wide Fund for Nature-India (WWF-India), New Delhi 110003, India)

  • Randeep Singh

    (Amity Institute of Forestry and Wildlife, Amity University, Noida 201313, India)

Abstract

Conservation management heavily relies on accurate species distribution data. However, distributional information for most species is limited to distributional range maps, which could not have enough resolution to take conservation action and know current distribution status. In many cases, distribution maps are difficult to access in proper data formats for analysis and conservation planning of species. In this study, we addressed this issue by developing Species Distribution Models (SDMs) that integrate species presence data from various citizen science initiatives. This allowed us to systematically construct current distribution maps for 1091 bird species across India. To create these SDMs, we used MaxEnt 3.4.4 (Maximum Entropy) as the base for species distribution modelling and combined it with multiple citizen science datasets containing information on species occurrence and 29 environmental variables. Using this method, we were able to estimate species distribution maps at both a national scale and a high spatial resolution of 1 km 2 . Thus, the results of our study provide species current species distribution maps for 968 bird species found in India. These maps significantly improve our knowledge of the geographic distribution of about 75% of India’s bird species and are essential for addressing spatial knowledge gaps for conservation issues. Additionally, by superimposing the distribution maps of different species, we can locate hotspots for bird diversity and align conservation action.

Suggested Citation

  • Arpit Deomurari & Ajay Sharma & Dipankar Ghose & Randeep Singh, 2023. "Potential Range Map Dataset of Indian Birds," Data, MDPI, vol. 8(9), pages 1-11, September.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:9:p:144-:d:1244599
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    References listed on IDEAS

    as
    1. Christophe Botella & Alexis Joly & Pascal Monestiez & Pierre Bonnet & François Munoz, 2020. "Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-18, May.
    2. Barve, Narayani & Barve, Vijay & Jiménez-Valverde, Alberto & Lira-Noriega, Andrés & Maher, Sean P. & Peterson, A. Townsend & Soberón, Jorge & Villalobos, Fabricio, 2011. "The crucial role of the accessible area in ecological niche modeling and species distribution modeling," Ecological Modelling, Elsevier, vol. 222(11), pages 1810-1819.
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