ArticleScientific reports2021
Mapping habitat suitability for Asiatic black bear and red panda in Makalu Barun National Park of Nepal from Maxent and GARP models.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 85 citations in OpenAlex.
- Ecological and Social Dimensions of Human-Bear Coexistence in Nepal's Gaurishankar Conservation Area.Ecology and evolution · 2026Article
- Environmental Adaptation Differences Are Key Factors Determining the Speciation and Future Adaptability of the Five Closely Related Species of the GenusEcology and evolution · 2026Article
- Machine learning predictions of climate change effects on nearly threatened bird species (Crithagra xantholaema) habitat in Ethiopia for conservation strategies.Scientific reports · 2025Article
- Large Carnivores Persisting in a Human-Dominated Landscape: Suitable Habitat and Connectivity for Asiatic Black Bears in China.Ecology and evolution · 2025Article
- Assessing Habitat Suitability and Connectivity of Black Storks in China: Integrating Species Distribution Models and Landscape Connectivity Analysis.Ecology and evolution · 2025Article
- Habitat Suitability Evaluation of Chinese Red Panda in Daxiangling and Xiaoxiangling Mountains.Biology · 2025Article
- Assessment of Habitat Suitability and Identification of Conservation Priority Areas for Endangered Marco Polo Sheep Throughout Khunjerab National Park (Pakistan) and Tashkurgan Natural Reserve (China).Animals : an open access journal from MDPI · 2025Article
- Potential Habitat and Priority Conservation Areas for Endangered Species in South Korea.Animals : an open access journal from MDPI · 2025Article
- Global climate change andFrontiers in plant science · 2025Article
- Predicting the Global Distribution ofPlants (Basel, Switzerland) · 2024Article
- Effect of climate change on the habitat suitability of the relict species Zelkova carpinifolia Spach using ensembled species distribution modelling.Scientific reports · 2024Article
- Modelling the Distribution and Habitat Suitability of the European Wildcat (Animals : an open access journal from MDPI · 2024Article
- Insights into Population Status and Habitat Patches of Conservation Concern for the Endangered Indian Pangolin (Biology · 2024Article
- Unveiling the Biodiversity and Conservation Significance of Medog: A Camera-Trapping Survey on Mammals in the Southeastern Tibetan Mountains.Animals : an open access journal from MDPI · 2024Article
- Article
- Habitat Suitability and Determinants for Anatidae in Multi-Watershed Composite Wetlands in Anhui, China.Animals : an open access journal from MDPI · 2024Article
- Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal HerbPlants (Basel, Switzerland) · 2024Article
- Research on the Changes in Distribution and Habitat Suitability of the Chinese Red Panda Population.Animals : an open access journal from MDPI · 2024Article
- Modelling the current and future distribution potential areas of Peperomia abyssinica Miq., and Helichrysum citrispinum Steud. ex A. Rich. in Ethiopia.BMC ecology and evolution · 2023Article
- Comparison of machine learning and deep learning models for evaluating suitable areas for premium teas in Yunnan, China.PloS one · 2023Article
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Habitat evaluation is essential for managing wildlife populations and formulating conservation policies. With the rise of innovative powerful statistical techniques in partnership with Remote Sensing, GIS and GPS techniques, spatially explicit species distribution modeling (SDM) has rapidly grown in conservation biology. These models can help us to study habitat suitability at the scale of the species range, and are particularly useful for examining the overlapping habitat between sympatric species. Species presence points collected through field GPS observations, in conjunction with 13 different topographic, vegetation related, anthropogenic, and bioclimatic variables, as well as a land cover map with seven classification categories created by support vector machine (SVM) were used to implement Maxent and GARP ecological niche models. With the resulting ecological niche models, the suitable habitat for asiatic black bear (Ursus thibetanus) and red panda (Ailurus fulgens) in Nepal Makalu Barun National Park (MBNP) was predicted. All of the predictor variables were extracted from freely available remote sensing and publicly shared government data resources. The modeled results were validated by using an independent dataset. Analysis of the regularized training gain showed that the three most important environmental variables for habitat suitability were distance to settlement, elevation, and mean annual temperature. The habitat suitability modeling accuracy, characterized by the mean area under curve, was moderate for both species when GARP was used (0.791 for black bear and 0.786 for red panda), but was moderate for black bear (0.857), and high for red panda (0.920) when Maxent was used. The suitable habitat estimated by Maxent for black bear and red panda was 716 km
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