4.6 Article

Descriptive Spatial Analysis of Human-Elephant Conflict (HEC) Distribution and Mapping HEC Hotspots in Keonjhar Forest Division, India

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FRONTIERS MEDIA SA
DOI: 10.3389/fevo.2021.640624

关键词

human-elephant conflict (HEC); spatial pattern analysis; populations at HEC risk; HEC hotspot mapping; trends in spatial risk; types of HEC

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  1. China Scholarship Council (CSC)

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Understanding the spatial patterns of human-elephant conflict in the Keonjhar forest division is crucial for targeted mitigation efforts and efficient resource allocation. The study identified significantly dense clusters of conflict hotspots and assessed the temporal change in risk, with crop damage being the most frequent form of conflict.
Escalation of human-elephant conflict (HEC) in India threatens its Asian elephant (Elephas maximus) population and victimizes local communities. India supports 60% of the total Asian elephant population in the world. Understanding HEC spatial patterns will ensure targeted mitigation efforts and efficient resource allocation to high-risk regions. This study deals with the spatial aspects of HEC in Keonjhar forest division, where 345 people were killed and 5,145 hectares of croplands were destroyed by elephant attacks during 2001-2018. We classified the data into three temporal phases (HEC1: 2001-2006, HEC2: 2007-2012, and HEC3: 2013-2018), in order to (1) derive spatial patterns of HEC; (2) identify the hotspots of HEC and its different types along with the number of people living in the high-risk zones; and (3) assess the temporal change in the spatial risk of HEC. Significantly dense clusters of HEC were identified in Keonjhar and Ghatgaon forest ranges throughout the 18 years, whereas Champua forest range became a prominent hotspot since HEC2. The number of people under HEC risk escalated from 14,724 during HEC1 and 34,288 in HEC2, to 65,444 people during HEC3. Crop damage was the most frequent form of HEC in the study area followed by house damage and loss of human lives. Risk mapping of HEC types and high priority regions that are vulnerable to HEC, provides a contextual background for researchers, policy makers and managers.

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