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Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region

Conflict with humans is a significant source of mortality for large carnivores globally. With rapid loss of forest cover and anthropogenic impacts on their habitats, large carnivores are forced to occupy multi-use landscapes outside protected areas. We investigated 857 attacks on livestock in easter...

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Autores principales: Naha, Dipanjan, Dash, Suraj Kumar, Chettri, Abhisek, Chaudhary, Pooja, Sonker, Gaurav, Heurich, Marco, Rawat, Gopal Singh, Sathyakumar, Sambandam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341814/
https://www.ncbi.nlm.nih.gov/pubmed/32636421
http://dx.doi.org/10.1038/s41598-020-67980-w
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author Naha, Dipanjan
Dash, Suraj Kumar
Chettri, Abhisek
Chaudhary, Pooja
Sonker, Gaurav
Heurich, Marco
Rawat, Gopal Singh
Sathyakumar, Sambandam
author_facet Naha, Dipanjan
Dash, Suraj Kumar
Chettri, Abhisek
Chaudhary, Pooja
Sonker, Gaurav
Heurich, Marco
Rawat, Gopal Singh
Sathyakumar, Sambandam
author_sort Naha, Dipanjan
collection PubMed
description Conflict with humans is a significant source of mortality for large carnivores globally. With rapid loss of forest cover and anthropogenic impacts on their habitats, large carnivores are forced to occupy multi-use landscapes outside protected areas. We investigated 857 attacks on livestock in eastern Himalaya and 375 attacks in western Himalaya by leopards between 2015 and 2018. Multivariate analyses were conducted to identify the landscape features which increased the probability of livestock depredation by leopards. The risk of a leopard killing livestock increased within a heterogeneous landscape matrix comprising of both closed and open habitats (very dense forests, moderate dense forests, open forests, scrubland and non-forests). We used the results to map potential human–leopard conflict hotspots across parts of the Indian Himalayan region. Our spatial risk maps indicate pockets in the eastern, central and western part of eastern Himalaya and the central, northern part of western Himalaya as hotspots of human–leopard conflicts. Most of the attacks occurred when livestock were grazing freely within multi-use areas without supervision of a herder. Our results suggest that awareness about high risk areas, supervised grazing, and removing vegetation cover around human settlements should be initiated to reduce predation by leopards.
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spelling pubmed-73418142020-07-09 Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region Naha, Dipanjan Dash, Suraj Kumar Chettri, Abhisek Chaudhary, Pooja Sonker, Gaurav Heurich, Marco Rawat, Gopal Singh Sathyakumar, Sambandam Sci Rep Article Conflict with humans is a significant source of mortality for large carnivores globally. With rapid loss of forest cover and anthropogenic impacts on their habitats, large carnivores are forced to occupy multi-use landscapes outside protected areas. We investigated 857 attacks on livestock in eastern Himalaya and 375 attacks in western Himalaya by leopards between 2015 and 2018. Multivariate analyses were conducted to identify the landscape features which increased the probability of livestock depredation by leopards. The risk of a leopard killing livestock increased within a heterogeneous landscape matrix comprising of both closed and open habitats (very dense forests, moderate dense forests, open forests, scrubland and non-forests). We used the results to map potential human–leopard conflict hotspots across parts of the Indian Himalayan region. Our spatial risk maps indicate pockets in the eastern, central and western part of eastern Himalaya and the central, northern part of western Himalaya as hotspots of human–leopard conflicts. Most of the attacks occurred when livestock were grazing freely within multi-use areas without supervision of a herder. Our results suggest that awareness about high risk areas, supervised grazing, and removing vegetation cover around human settlements should be initiated to reduce predation by leopards. Nature Publishing Group UK 2020-07-07 /pmc/articles/PMC7341814/ /pubmed/32636421 http://dx.doi.org/10.1038/s41598-020-67980-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Naha, Dipanjan
Dash, Suraj Kumar
Chettri, Abhisek
Chaudhary, Pooja
Sonker, Gaurav
Heurich, Marco
Rawat, Gopal Singh
Sathyakumar, Sambandam
Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region
title Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region
title_full Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region
title_fullStr Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region
title_full_unstemmed Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region
title_short Landscape predictors of human–leopard conflicts within multi-use areas of the Himalayan region
title_sort landscape predictors of human–leopard conflicts within multi-use areas of the himalayan region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341814/
https://www.ncbi.nlm.nih.gov/pubmed/32636421
http://dx.doi.org/10.1038/s41598-020-67980-w
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