Pavithra, GM and Venkataramana, GV and Pasha, SV and Reddy, B Sudhakara and Swarada, B and Dadhwal, Vinay Kumar
(2025)
Geospatial Identification of Human–Wildlife Conflict Hotspots in the Southern Western Ghats.
Journal of the Indian Society of Remote Sensing.
ISSN 0974-3006
Full text not available from this repository.
| Abstract: |
It is crucial to understand the spatio-temporal dynamics of human–wildlife conflict (HWC) due to its serious consequences. This study analysed 34,596 unprecedented, geotagged HWC data points from the Southern Western Ghats of Karnataka, collected from 2019 to 2023. The data were categorized into human–elephant conflicts (HEC), human–carnivore conflicts (HCC), and other types. To identify the factors influencing these conflicts, we integrated various geospatial layers, including land use land cover (LULC), tree loss data, digital elevation model (DEM), road network, and settlements. We employed a range of geoprocessing and visualization tools such as spatial grid analysis, clustering, kernel density estimation, optimized hotspots, and spatial interpolation using kriging. Elephants, tigers, leopards, wild boars, and gaurs contributed to 99.6% of incidences, with HEC accounting for 92.1% of incidents and 87.4% of the total compensation. Key impacting factors included a loss of 5741 hectares of tree cover over the past two decades (at a rate of 261 ha/year), road network (53%), elevation between 1000–1500 m (86%), and settlements. Elephants were responsible for all types of damages across all proximities. The spatially explicit HWC field data demonstrated significant advantages over the conventional approaches. The generated HWC clusters and hotspots provide valuable insights for effective HWC management practices. These hotspots are crucial for strategic planning and can be effectively applied to other similar landscapes globally. |
| Item Type: |
Journal Paper
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| Subjects: |
School of Natural and Engineering Sciences > Energy and Environment |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
18 Jun 2025 08:53 |
| Last Modified: |
18 Jun 2025 08:53 |
| Official URL: |
https://link.springer.com/article/10.1007/s12524-0... |
| Related URLs: |
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| Funders: |
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| Projects: |
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| DOI: |
https://doi.org/10.1007/s12524-025-02210-2 |
| URI: |
http://eprints.nias.res.in/id/eprint/2956 |
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