ArticleScientific reports2024
Predicting current and future habitat of Indian pangolin (Manis crassicaudata) under climate change.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Spatiotemporal Patterns of Suitable Wintering Habitats for the White-Naped Cranes Under Climate and Land-Use Change.Animals : an open access journal from MDPI · 2026Article
- Exploring Habitat Preferences, Suitability, and Illegal Trade Routes of Indian Pangolins in Western Pakistan: Implications for Conservation.Ecology and evolution · 2026Article
- Forecasting impacts of climate change on barking deer distribution in Pakistan.Scientific reports · 2025Article
- Spatio-Temporal Comparisons Between Microclimate Species Distribution Models and Mechanistic Models of Potential Surface Activity.Ecology and evolution · 2025Article
- Insights into Population Status and Habitat Patches of Conservation Concern for the Endangered Indian Pangolin (Biology · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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 km
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