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Addressing human-tiger conflict using socio-ecological information on tolerance and risk
Tigers are critically endangered due to deforestation and persecution. Yet in places, Sumatran tigers (Panthera tigris sumatrae) continue to coexist with people, offering insights for managing wildlife elsewhere. Here, we couple spatial models of encounter risk with information on tolerance from 238...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110717/ https://www.ncbi.nlm.nih.gov/pubmed/30150649 http://dx.doi.org/10.1038/s41467-018-05983-y |
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author | Struebig, Matthew J. Linkie, Matthew Deere, Nicolas J. Martyr, Deborah J. Millyanawati, Betty Faulkner, Sally C. Le Comber, Steven C. Mangunjaya, Fachruddin M. Leader-Williams, Nigel McKay, Jeanne E. St. John, Freya A. V. |
author_facet | Struebig, Matthew J. Linkie, Matthew Deere, Nicolas J. Martyr, Deborah J. Millyanawati, Betty Faulkner, Sally C. Le Comber, Steven C. Mangunjaya, Fachruddin M. Leader-Williams, Nigel McKay, Jeanne E. St. John, Freya A. V. |
author_sort | Struebig, Matthew J. |
collection | PubMed |
description | Tigers are critically endangered due to deforestation and persecution. Yet in places, Sumatran tigers (Panthera tigris sumatrae) continue to coexist with people, offering insights for managing wildlife elsewhere. Here, we couple spatial models of encounter risk with information on tolerance from 2386 Sumatrans to reveal drivers of human–tiger conflict. Risk of encountering tigers was greater around populated villages that neighboured forest or rivers connecting tiger habitat; geographic profiles refined these predictions to three core areas. People’s tolerance for tigers was related to underlying attitudes, emotions, norms and spiritual beliefs. Combining this information into socio-ecological models yielded predictions of tolerance that were 32 times better than models based on social predictors alone. Pre-emptive intervention based on these socio-ecological predictions could have averted up to 51% of attacks on livestock and people, saving 15 tigers. Our work provides further evidence of the benefits of interdisciplinary research on conservation conflicts. |
format | Online Article Text |
id | pubmed-6110717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61107172018-08-29 Addressing human-tiger conflict using socio-ecological information on tolerance and risk Struebig, Matthew J. Linkie, Matthew Deere, Nicolas J. Martyr, Deborah J. Millyanawati, Betty Faulkner, Sally C. Le Comber, Steven C. Mangunjaya, Fachruddin M. Leader-Williams, Nigel McKay, Jeanne E. St. John, Freya A. V. Nat Commun Article Tigers are critically endangered due to deforestation and persecution. Yet in places, Sumatran tigers (Panthera tigris sumatrae) continue to coexist with people, offering insights for managing wildlife elsewhere. Here, we couple spatial models of encounter risk with information on tolerance from 2386 Sumatrans to reveal drivers of human–tiger conflict. Risk of encountering tigers was greater around populated villages that neighboured forest or rivers connecting tiger habitat; geographic profiles refined these predictions to three core areas. People’s tolerance for tigers was related to underlying attitudes, emotions, norms and spiritual beliefs. Combining this information into socio-ecological models yielded predictions of tolerance that were 32 times better than models based on social predictors alone. Pre-emptive intervention based on these socio-ecological predictions could have averted up to 51% of attacks on livestock and people, saving 15 tigers. Our work provides further evidence of the benefits of interdisciplinary research on conservation conflicts. Nature Publishing Group UK 2018-08-27 /pmc/articles/PMC6110717/ /pubmed/30150649 http://dx.doi.org/10.1038/s41467-018-05983-y Text en © The Author(s) 2018 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 Struebig, Matthew J. Linkie, Matthew Deere, Nicolas J. Martyr, Deborah J. Millyanawati, Betty Faulkner, Sally C. Le Comber, Steven C. Mangunjaya, Fachruddin M. Leader-Williams, Nigel McKay, Jeanne E. St. John, Freya A. V. Addressing human-tiger conflict using socio-ecological information on tolerance and risk |
title | Addressing human-tiger conflict using socio-ecological information on tolerance and risk |
title_full | Addressing human-tiger conflict using socio-ecological information on tolerance and risk |
title_fullStr | Addressing human-tiger conflict using socio-ecological information on tolerance and risk |
title_full_unstemmed | Addressing human-tiger conflict using socio-ecological information on tolerance and risk |
title_short | Addressing human-tiger conflict using socio-ecological information on tolerance and risk |
title_sort | addressing human-tiger conflict using socio-ecological information on tolerance and risk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110717/ https://www.ncbi.nlm.nih.gov/pubmed/30150649 http://dx.doi.org/10.1038/s41467-018-05983-y |
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