Assessment of Multiple Model Algorithms and an Ensemble Model to Predict Human–Elephant Conflict in Taita Taveta County, Kenya: Implications for Conservation DOI
Tino Johansson,

Martha Munyao,

Petri Pellikka

et al.

Published: Jan. 1, 2024

Language: Английский

Addressing Human–Elephant Conflicts in Taita Taveta County, Kenya: Integrating Species Distribution Modeling into Targeted Conservation Strategies DOI Creative Commons
Tino Johansson,

Martha Munyao,

Petri Pellikka

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03604 - e03604

Published: April 1, 2025

Language: Английский

Citations

0

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.

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

Citations

0

Unveiling the Hidden Causes: Identifying the Drivers of Human–Elephant Conflict in Nilgiri Biosphere Reserve, Western Ghats, Southern India DOI Creative Commons
Nagarajan Baskaran, Selvarasu Sathishkumar,

Varadharajan Vanitha

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(22), P. 3193 - 3193

Published: Nov. 7, 2024

Since the human population is growing beyond earth's ability to sustain it, more people are being brought into contact with wildlife, leading increasing human-wildlife conflict. The Asian elephant, a wide-ranging megaherbivore, increasingly threatened by human-elephant conflict [HEC]. Its conservation depends on identifying causes of HEC and implement measure mitigate effectively. We studied drivers among five forest divisions in Western Ghats, India, that support high density elephants across Asia. Comparing last six years' data 26 ecological covariates GLMM framework, we identified spatiotemporal variations crop, property damages casualties. Spatially, was highest territorial division lowest those declared as Protected Areas earlier. comparison crop damage showed decreased grass biomass index, elephant density, extent dry-thorn, deciduous habitats, range area, while it increased adult male % perimeter. Similarly, frequency settlement/cultivation but biomass, habitat area. Human casualties due damage, ambient temperature, perimeter, biomass. Overall, decrease increase settlement perimeter indicate anthropogenic pressure decreases degrades likely root cause HEC, minimizing would reduce overall HEC.

Language: Английский

Citations

3

Assessment of Multiple Model Algorithms and an Ensemble Model to Predict Human–Elephant Conflict in Taita Taveta County, Kenya: Implications for Conservation DOI
Tino Johansson,

Martha Munyao,

Petri Pellikka

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0