Data from: Large carnivores persisting in a human-dominated landscape: Suitable habitat and connectivity for Asiatic black bears in China
Data files
Oct 28, 2025 version files 2.13 GB
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environment_variables.zip
715.22 MB
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Latitude__longitude_and_environment_variables.xlsx
36.03 KB
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linkage_mapper_results.zip
20.73 MB
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Maent_model_results.zip
1.39 GB
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README.md
8.30 KB
Abstract
This study examined the connectivity between the current suitable habitat and the core habitat for Asiatic black bears (Ursus thibetanus) in human-dominated landscapes. The study aimed to provide a basis for future conservation strategies for black bear populations in China. We collected occurrence locations (N = 130) of Asiatic black bears from 2014–2023, with data sources spanning 12 provincial administrative regions and covering an area of about 3,010,000 km2. We predicted the distribution of suitable habitats for Asiatic black bears via the MAXENT species distribution model using a combination of multiple environmental variables such as topography, vegetation, climate, and anthropogenic disturbances. Least-cost habitat corridor planning was performed using the least-cost path model and circuit theory. The results suggested that (1) Asiatic black bears have a marked preference for mountainous environments with high altitude (>1,500 m), high amounts of precipitation (>200 mm), and dense vegetation, and they generally avoid areas of anthropogenic disturbance. (2) The suitable habitats for Asiatic black bears showed a highly fragmented pattern, mainly concentrated along the borders of Zhejiang, Anhui, Fujian, and Jiangxi (the Zhe–Gan Region), the borders of Guangxi, Guangdong, and Hunan (the Hunan–Guangdong region), and the borders of Shaanxi, Chongqing, Hubei, Guizhou, and Sichuan (the Sichuan–Shaanxi region). Of the predicted 372,483 km2 of suitable habitat, only 23.65% is currently covered by nature reserves. (3) A comprehensive landscape connectivity analysis identified 79 core habitat patches encompassing a total area of 33,257 km2. Notably, only 29.29% of these patches are currently under protection. Furthermore, we delineated 79 potential least-cost paths, each with an average length of 43.66 km, and identified pinch points along these pathways that could impede connectivity. To ensure the long-term survival of Asiatic black bear populations, we recommend enhancing the protection and restoration efforts for the three core habitats and their associated potential connectivity pathways.
Dataset DOI: 10.5061/dryad.2v6wwq002
Description of the data and file structure
Data Description
This dataset supports the research article titled "Large carnivores persisting in a human-dominated landscape: suitable habitat and connectivity for Asiatic black bears in China". The data were collected and generated to analyze the distribution of suitable habitats and landscape connectivity for Asiatic black bears (Ursus thibetanus) in China. Below is a detailed description of the data components:
1. Asiatic Black Bear Occurrence Data
- Description: This dataset contains the occurrence records of Asiatic black bears across 12 provinces in China, collected from 2014 to 2023. The data were obtained from two primary sources: infrared camera trap surveys and verified media reports.
- Content:
- Decimal latitude and longitude coordinates of bear occurrences.
- Coordinates have been intentionally blurred (reduced precision) to protect the exact locations of sensitive species and comply with ethical guidelines.
- Purpose: These data were used as input for the MAXENT species distribution model to predict suitable habitats for Asiatic black bears.
2. Environmental Variables
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Description: This dataset includes 29 environmental variables used as predictors in the MAXENT model. These variables cover topographic, climatic, hydrological, and anthropogenic factors.
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Content:
- Topographic variables: Elevation, slope, aspect.
- Climatic variables: Mean annual temperature, precipitation, temperature seasonality, etc.
- Hydrological variables: Distance to water sources, rivers, etc.
- Anthropogenic variables: Distance to roads, settlements, and cultivated land.
- Vegetation variables: Normalized Difference Vegetation Index (NDVI).
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Purpose: These variables were used to model habitat suitability and identify key environmental factors influencing the distribution of Asiatic black bears.
29 Environment Variables
Bio1: Mean annual temperature (°C)
Bio2: Mean diurnal temperature range (°C)
Bio3: Isothermal property (ratio)
Bio4: Standard deviation of seasonal variation of temperature (SD)
Bio5: Max temperature of the warmest month (°C)
Bio6: Min temperature of the coldest month (°C)
Bio7: Temperature annual range (°C)
Bio8: Mean temperature of the wettest quarter (°C)
Bio9: Mean temperature of driest quarter (°C)
Bio10: Mean temperature of the warmest quarter (°C)
Bio11: Mean temperature of the coldest quarter (°C)
Bio12: Annual precipitation (mm)
Bio13: Precipitation of the wettest month (mm)
Bio14: Precipitation of the driest month (mm)
Bio15: Precipitation seasonality (Coefficient of Variation)
Bio16: Precipitation of the wettest quarter (mm)
Bio17: Precipitation of the driest quarter (mm)
Bio18: Precipitation of the warmest quarter (mm)
Bio19: Precipitation of the coldest quarter (mm)
altitude: Altitude (m)
aspect: Aspect (The absolute value of the actual slope aspect minus 180 degrees) (°)
slope: Slope (°)
d_water: Distance to water (Lakes, reservoirs, double-lined rivers and ditches, etc.) (m)
d_river: Distance to a river (Single-line rivers, ditches, river structure lines, etc.) (m)
d_house: Distance to a house (m)
d_road: Distance to a road (m)
d_rail: Distance to a railroad (m)
NDVI: NDVI
landuse: Land use (Forest land, Grassland, Cultivated land, Water, Residential land, Unutilised land) (Categorical Variable)
3. MAXENT Model Results
- Description: This dataset contains the results of the MAXENT species distribution model, which predicts the probability of suitable habitats for Asiatic black bears across the study area.
- Content:
- Habitat suitability maps (raster files) showing the probability of bear presence.
- Response curves for key environmental variables (e.g., elevation, precipitation, slope, NDVI).
- Model evaluation metrics, including the Area Under the Curve (AUC) value, which indicates the model's predictive accuracy.
- Purpose: These results were used to identify highly suitable habitats, assess habitat fragmentation, and guide conservation planning.
4. Linkage Mapper Results
- Description: This dataset includes the results of the landscape connectivity analysis performed using Linkage Mapper and Circuitscape software.
- Content:
- Least-cost paths (LCPs) between core habitat patches, representing potential ecological corridors for bear movement.
- Pinch points (narrow sections within corridors) identified using circuit theory, which are critical for maintaining connectivity.
- Resistance surfaces representing the cost of movement for bears across the landscape.
- Purpose: These results were used to assess habitat connectivity, identify key corridors, and prioritize areas for conservation and restoration.
5. Supplementary data and software
- Description: Additional data supporting the analysis, including metadata, README files, and scripts used for data processing and modeling.
- Content:
- Metadata describing the data collection methods, variable definitions, and data processing steps.
- README files providing instructions for using the data and reproducing the analysis.
- Scripts for running the MAXENT model and Linkage Mapper analysis.
- Purpose: These supplementary materials ensure transparency and reproducibility of the research.
Ethical Considerations
- The latitude and longitude coordinates of Asiatic black bear occurrences have been intentionally blurred to protect the species from potential threats such as poaching or habitat disturbance. This approach aligns with ethical guidelines for sensitive species data sharing.
Data Availability
All data and software used in this study are available in the repository. For access to the full dataset, please refer to the Data Accessibility Statement in the manuscript or contact the corresponding author.
This dataset provides a comprehensive foundation for understanding the distribution and connectivity of Asiatic black bear habitats in China, offering valuable insights for conservation planning and management.
Code/software
1. GIS Software
- ArcGIS (Version 10.8 or higher)
- For spatial data processing, map creation, and basic spatial analysis
- Extensions: Spatial Analyst, Network Analyst
- QGIS (Open-source alternative)
- For viewing and processing geospatial data
2. Species Distribution Modeling Software
- MAXENT (Version 3.3.3k or higher)
- For habitat suitability modeling
- Website: http://biodiversityinformatics.amnh.org/open_source/maxent/
3. Landscape Connectivity Analysis Software
- Linkage Mapper
- For identifying ecological corridors and least-cost paths
- Requires: ArcGIS 10.x environment
- Circuitscape (Version 4.0.7 or higher)
- Connectivity analysis based on circuit theory
- Can be integrated with Linkage Mapper
- CorridorDesigner
- For corridor design and analysis
4. Programming Languages and Environments
- R and RStudio
- Key packages:
dismo(species distribution modeling)raster(raster data processing)sp,sf(spatial data processing)ggplot2(data visualization)
- Key packages:
5. Data Management and Processing Tools
- Microsoft Excel or WPS Spreadsheets
- For basic data organization and viewing
- Text Editors
- Notepad++, Sublime Text, or VS Code
- For viewing and editing scripts and README files
6. Specialized Toolboxes and Scripts
- SDMtoolbox (ArcGIS extension)
- For species distribution model-related analyses
- Includes "Spatially Rarify Occurrence Data" tool
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- NA
