Published March 19, 2026
| Version v1
Dataset
Open
Data and Code for Zhang et al. Assessing human-wildlife conflict risks under climate change in China
Authors/Creators
- 1. 1.School of Architecture and Urban Planning, Chongqing University, Chongqing400045, China
- 2. 2.Asian School of the Environment, Nanyang Technological University, Singapore639798, Singapore
- 3. School of Architecture and Urban Planning, Chongqing University, Chongqing400045, China
- 4. State Key Laboratory of Biocontrol, School of Ecology, Shenzhen Campus of Sun Yat-sen University, Shenzhen518107, China
- 5. Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing400045, China
- 6. 1.State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of Environment, Nanjing University, Nanjing210023, China
- 7. 2.International Institute of Earth System Science, Nanjing University, Nanjing210023, China
- 8. Key Laboratory of Mountain Hazards and Engineering Resilience, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing400714, China
- 9. 1.Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing100084, China
- 10. 2.Institute for National Parks, Tsinghua University, Beijing100084, China
- 11. 1.Asian School of the Environment, Nanyang Technological University, Singapore639798, Singapore
- 12. 2.School of Social Sciences, Nanyang Technological University, Singapore639818, Singapore
Description
This repository provides code and example data for MaxEnt-based species distribution modeling of terrestrial mammals. The pipeline integrates VIF-based environmental variable selection, pseudo-absence generation, model tuning, and habitat suitability projection under current (2020) and future climate scenarios (2050/2070, SSP126/245/585).
Outputs include habitat suitability maps for 47 mammal species, stored as GeoTIFFs and grouped into four folders. Each raster represents mean suitability across bootstrap runs. See README.txt for file naming, variable details, and data structure.
Files
README.txt
Files
(20.1 GB)
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md5:8ac8e0bdb9112a536f4c8ab47e6724c4
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3.2 kB | Preview Download |
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md5:247a48431ffb7786dcd5d0383727c5b2
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5.7 kB | Download |
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md5:ef9ac08024b011cd9b32391731f41175
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2.9 GB | Preview Download |
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md5:6133d401200d69d53658b95c74e3d3f8
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5.9 GB | Preview Download |
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md5:bd4783651028c6c665e90403cd4e15a3
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6.8 GB | Preview Download |
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md5:b44c02019ed561ba208392ae87745567
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4.4 GB | Preview Download |
Additional details
Software
- Programming language
- R