Data-Driven Insights into Human–Gaur Conflicts: Spatiotemporal Trends and Risk Mapping Across Tamil Nadu, India DOI
Thekke Thumbath Shameer,

Priyambada Routray,

A. Udhayan

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 15, 2025

Abstract Human–wildlife conflict (HWC) is one of the most pressing conservation challenges, particularly in shared landscapes where humans and wildlife are adversely affected. Despite various mitigation efforts globally, frequency HWC continues to rise. Among conflict-prone species, Indian gaur (Bos gaurus) has increasingly been involved such interactions across southern India. To support development long-term strategies for Human–Gaur Conflict (HGC), we conducted a comprehensive study using data collected from compensation records 48 forest divisions Tamil Nadu between 2016 2024. We analyzed spatial temporal trends, predicted risk zones ensemble modeling, identified key drivers influencing HGC. Our findings reveal that intensity was highest Nilgiri division, followed by Dharmapuri Kodaikanal. Crop damage predominant type, human injuries, with incident peaks observed during December March. Elevation emerged as influential predictor models, clear positive correlation showing increased rising elevation. The model also 18,335 km² state falls under zones, accounting approximately 14.1% Nadu's total geographical area. This provides critical insights into ecology HGC highlights utility predictive modeling identifying high-risk zones. outcomes can inform conservationists managers designing implementing proactive measures, especially areas have high likelihood future conflict.

Language: Английский

Data-Driven Insights into Human–Gaur Conflicts: Spatiotemporal Trends and Risk Mapping Across Tamil Nadu, India DOI
Thekke Thumbath Shameer,

Priyambada Routray,

A. Udhayan

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 15, 2025

Abstract Human–wildlife conflict (HWC) is one of the most pressing conservation challenges, particularly in shared landscapes where humans and wildlife are adversely affected. Despite various mitigation efforts globally, frequency HWC continues to rise. Among conflict-prone species, Indian gaur (Bos gaurus) has increasingly been involved such interactions across southern India. To support development long-term strategies for Human–Gaur Conflict (HGC), we conducted a comprehensive study using data collected from compensation records 48 forest divisions Tamil Nadu between 2016 2024. We analyzed spatial temporal trends, predicted risk zones ensemble modeling, identified key drivers influencing HGC. Our findings reveal that intensity was highest Nilgiri division, followed by Dharmapuri Kodaikanal. Crop damage predominant type, human injuries, with incident peaks observed during December March. Elevation emerged as influential predictor models, clear positive correlation showing increased rising elevation. The model also 18,335 km² state falls under zones, accounting approximately 14.1% Nadu's total geographical area. This provides critical insights into ecology HGC highlights utility predictive modeling identifying high-risk zones. outcomes can inform conservationists managers designing implementing proactive measures, especially areas have high likelihood future conflict.

Language: Английский

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