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Predicting current and future habitat of Indian pangolin (Manis crassicaudata) under climate change.
Qasim, Siddiqa; Mahmood, Tariq; Rakha, Bushra Allah; Nadeem, Muhammad Sajid; Akrim, Faraz; Aslam, Asad; Belant, Jerrold L.
Affiliation
  • Qasim S; Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan. siddiqaqasim@outlook.com.
  • Mahmood T; Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
  • Rakha BA; Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
  • Nadeem MS; Department of Zoology, Wildlife and Fisheries, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
  • Akrim F; Department of Zoology, University of Kotli, Azad Jammu and Kashmir, Pakistan.
  • Aslam A; Department of Zoology, University of Kotli, Azad Jammu and Kashmir, Pakistan.
  • Belant JL; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA.
Sci Rep ; 14(1): 7564, 2024 03 30.
Article in En | MEDLINE | ID: mdl-38555376
ABSTRACT
Climate change is among the greatest drivers of biodiversity loss, threatening up to 15-30% of described species by the end of the twenty-first century. We estimated the current suitable habitat and forecasted future distribution ranges of Indian pangolin (Manis crassicaudata) under climate change scenarios. We collected occurrence records of Indian pangolin using burrow counts, remote camera records and previously published literature in Pakistan during 2021-2023. We downloaded bioclimatic data for current (1970-2000) and future (2041-2060, 2061-2080, 2081-2100) climate scenarios from the WorldClim database using the Hadley Global Environment Model (HadGEM3-GC31-LL). We used MaxEnt software to predict current and future distributions of Indian pangolin, then computed the amount of habitat lost, gained, and unchanged across periods. We obtained 560 Indian pangolin occurrences overall, 175 during the study, and 385 from our literature search. Model accuracy was very good (AUC = 0.885, TSS = 0.695), and jackknife tests of variable importance showed that the contribution of annual mean temperature (bio1) was greatest (33.4%), followed by the mean temperature of the coldest quarter (bio-12, 29.3%), temperature seasonality (bio 4, 25.9%), and precipitation seasonality (bio 15, 11.5%). The maxent model predicted that during the current time period (1970-2000) highly suitable habitat for Indian pangolin was (7270 km2, 2.2%), followed by moderately suitable (12,418 km2, 3.7%), less suitable (49,846 km2, 14.8%), and unsuitable habitat (268,355 km2, 79.4%). Highly suitable habitat decreased in the western part of the study area under most SSPs and in the central parts it declined under all SSPs and in future time periods. The predicted loss in the suitable habitat of the Indian pangolin was greatest (26.97%) under SSP 585 followed by SSP 126 (23.67%) during the time 2061-2080. The gain in suitable habitat of Indian pangolin was less than that of losses on average which ranged between 1.91 and 13.11% under all SSPs during all time periods. While the stable habitat of the Indian pangolin ranged between 64.60 and 83.85% under all SSPs during all time periods. Our study provides the current and future habitat ranges of Indian pangolin in the face of a changing climate. The findings of our study could be helpful for policymakers to set up conservation strategies for Indian pangolin in Pakistan.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Pangolins Limits: Animals Language: En Journal: Sci Rep Year: 2024 Type: Article Affiliation country: Pakistan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Pangolins Limits: Animals Language: En Journal: Sci Rep Year: 2024 Type: Article Affiliation country: Pakistan