Data from: Differential vulnerability of key threatened mammals to climate and land cover changes in the Central Himalayas
Data files
Mar 12, 2025 version files 59.03 KB
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README.md
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sp_climat_data.csv
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Abstract
Anthropogenic climate change affects biological diversity by altering their suitable habitat ranges. The Himalayan region is one of the world's most sensitive biodiversity hotspots to global climate change. The Chitwan–Annapurna Landscape (CHAL) in the Central Himalayas serves as a vital north‒south linkage among the protected areas in central Nepal, and provides suitable habitats for threatened mammals in different ecological zones, such as snow leopards (in the alpine zone), Himalayan red panda (in the temperate zone), and one-horned rhinoceros (in the lowland tropical zone). The biodiversity of CHAL is threatened by climate change and land use alterations. This study assessed the potential impacts of climate and land cover changes on the above three key threatened mammals in CHAL by employing maximum entropy (MaxEnt) modeling to predict the current potential habitat and project it for future climate change scenarios under different greenhouse gas concentrations. Further, we used the cellular automata and Markov-Chain models to simulate and predict the temporal and spatial changes in land cover of CHAL. Our results indicate that the snow leopard and Himalayan red panda will experience significant vulnerability than the one-horned rhinoceros in all future climate scenarios. Approximately 36.3% and 41.8% of the suitable habitat of the snow leopard and 32.5% and 56% of the Himalayan red panda in CHAL are projected to be lost in 2050 and 2070, respectively, under RCP6.0. Climate refugia, representing areas of suitable habitat for 2070 (under the RCP6.0) in CHAL, are projected to cover 958 km2 (80.37% of the current range), 1,052 km2 (43.73% of the current range), and 2,375 km2 (58.21% of the current range) for one-horned rhinoceros, Himalayan red panda and snow leopard, respectively. Among the land cover attributes in CHAL, snow cover is predicted to decrease by 24% in 2070. Our findings indicate that species inhabiting alpine and temperate environments are more susceptible to human-induced climate change than those inhabiting lowland tropical areas. These findings will help to implement the adaptation actions that are crucial to address future conservation challenges arising from climate and land cover change.
https://doi.org/10.5061/dryad.p5hqbzkx3
Description of the data and file structure
Data set consists species name (sp_name), ecological zone (sp_bio_zone_elv), bioclimatic (ext_bio_1 to ext_bio_19), and topographic (ext_elv and ext_slp) first row. The data set included topographic and bioclimatic data for the three species: Snow leopard (Panthera_unica), Himalayan red panda (Ailurus_fulgens), and One-horned rhinoceros (Rhinoceros_unicornis) in the first column (sp_name). Second column consists of ecological zones (sp_bio_zone_elv), which includes name of the ecological zone and their elevational range; alpine ecological zone (alpine_zone(3000m-5500m)), temperate ecological zone (temperate_zone(2100m-3800m)), and tropical ecological zone (tropical_zone(110m-850m).
Temperature variables are in column from ext_bio_1 to ext_bio_11 that included ext_bio_1 = Bio1 – Annual Mean Temperature: °C (Degrees Celsius); ext_bio_2= Bio2 – Mean Diurnal Range (Mean of monthly [max temp - min temp]): °C (Degrees Celsius); ext_bio_3 = Bio3 – Isothermality (Bio2/Bio7): Dimensionless; ext_bio_4 = Bio4 – Temperature Seasonality (Standard Deviation * 100): °C (Degrees Celsius) ; ext_bio_5= Bio5 – Max Temperature of Warmest Month: °C (Degrees Celsius) ; ext_bio_6 = Bio6 – Min Temperature of Coldest Month: °C (Degrees Celsius) ; ext_bio_7 = Bio7 – Temperature Annual Range (Bio5 - Bio6): °C (Degrees Celsius) ; ext_bio_8 = Bio8 – Mean Temperature of Wettest Quarter: °C (Degrees Celsius); ext_bio_9 = Bio9 – Mean Temperature of Driest Quarter: °C (Degrees Celsius) ; ext_bio_10 = Bio10 – Mean Temperature of Warmest Quarter: °C (Degrees Celsius) ; ext_bio_11 = Bio11 – Mean Temperature of Coldest Quarter: °C (Degrees Celsius);
Precipitation variables from ext_bio_11 to bio_ext_19 which included ext_bio_1 = Bio11 Bio12 – Annual Precipitation: mm/year (Millimeters per year); ext_bio_13 = Bio13 – Precipitation of Wettest Month: mm/month (Millimeters per month); ext_bio_14 = Bio14 – Precipitation of Driest Month: mm/month (Millimeters per month); ext_bio_15 = Bio15 – Precipitation Seasonality (Coefficient of Variation): Dimensionless; ext_bio_16 = Bio16 – Precipitation of Wettest Quarter: mm/quarter (Millimeters per quarter); ext_bio_17 = Bio17 – Precipitation of Driest Quarter: mm/quarter (Millimeters per quarter); ext_bio_18 = Bio18 – Precipitation of Warmest Quarter: mm/quarter (Millimeters per quarter); ext_bio_19 = Bio19 – Precipitation of Coldest Quarter: mm/quarter (Millimeters per quarter).
Topographic variables included elevation in meters (ext_elv) and slope in degrees (ext_slp)
Sharing/Access information
Due to high risk of illegal poaching affecting these species, their occurrence data have not been included for open access. However, these data can be obtained from corresponding author upon, with a description of their intened purpose (Author :Arjun Thapa ; email : thapa.nature@gmail.com).
Occurrence records of the snow leopard, one-horned rhinoceros and Himalayan red panda were collected from the published literature, grey literature, national survey database, and field surveys (December 2019) (Ale et al., 2014; Bista et al.2016, Bista et al., 2017; Chetri et al.2019; Thapa et al. 2018b; Thapa and Puri 2019; DNPWC, 2009; DNPWC 2020).
- Thapa, Arjun; Baral, Suraj; K. C., Rabin Bahadur et al. (2025). Differential vulnerability of key threatened mammals to climate and land cover changes in the Central Himalayas. Ecosphere. https://doi.org/10.1002/ecs2.70242
