Biodiversity hotspot assessment in the Altai Mountains transboundary region based on Mammals and Aves

variables for current climate conditions from the WorldClim dataset (www.worldclim.org). These variables describe temperature, precipitation, annual and seasonal trends in solar radia- tion, etc., and allow full characterization of species bioclimatic niches with a resolution of approximately 1 km. (2) Digital elevation model (DEM) data (15 arc-second) are from the British Oceanographic Data Centre (BODC) (https://www.gebco.net/data_and_products/ gridded_bathymetry_data/). (3) LULC data is released by the National Geomatics Center of China GlobeLand30 data service site (DOI: 10.11769, http://www.globallandcover.com/), and its 2000 and 2020 data are selected, with a resolution of about 30m. (4) The nighttime light data comes from the Earth Observation Group (EOG) (https://eogdata.mines.edu/products/ vnl/), 2000 and 2020 is selected, and the resolution is about 450m. (5) Traffic roads in the area The data is provided by OpenStreetMap (OSM) (https://openmaptiles.org/). (6) Population Fig 1. The study area. Note: the Chinese Altai region (CAR), the Kazakhstan Altai region (KAR)the Mongolia Altai region (MAR), the Russian Altai region (RAR). Map Approval Number: GS(2020)4619. https://doi.org/10.1371/journal.pone.0314075.g001 Table 1. Data type and source. Data type Data Resolution Data source Climate Temperatur 1km www.worldclim.org precipitation wind speed solar radiation BIO1~BIO 19 Topography Elevation 15 arc-second https://www.gebco.net/ Landscape Land use and land cover 30m http://www.globallandcover.com/

Human activity Night light 450m https://eogdata.mines.edu/products/vnl/ Population density 1km https://landscan.ornl.gov/ Road 30m https://landscan.ornl.gov/ https://doi.org/10.1371/journal.pone.0314075.t001 PLOS ONE Biodiversity hotspot assessment in the Altai Mountains transboundary region PLOS ONE | https://doi.org/10.1371/journal.pone.0314075 December 4, 2024 4 / 20