Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales
Human encroachment into natural habitats is typically followed by conflicts derived from wildlife damage to agriculture and livestock. Spatial risk modelling is a useful tool to gain the understanding of wildlife damage and mitigate conflicts. Although resource selection is a hierarchical process op...
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ftpubmed:oai:pubmedcentral.nih.gov:8437235 2023-05-15T18:42:05+02:00 Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales Bautista, Carlos Revilla, Eloy Berezowska-Cnota, Teresa Fernández, Néstor Naves, Javier Selva, Nuria 2021-09-08 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437235/ http://www.ncbi.nlm.nih.gov/pubmed/34465240 https://doi.org/10.1098/rspb.2021.1394 en eng The Royal Society http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437235/ http://www.ncbi.nlm.nih.gov/pubmed/34465240 http://dx.doi.org/10.1098/rspb.2021.1394 © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. CC-BY Proc Biol Sci Ecology Text 2021 ftpubmed https://doi.org/10.1098/rspb.2021.1394 2021-10-31T00:22:49Z Human encroachment into natural habitats is typically followed by conflicts derived from wildlife damage to agriculture and livestock. Spatial risk modelling is a useful tool to gain the understanding of wildlife damage and mitigate conflicts. Although resource selection is a hierarchical process operating at multiple scales, risk models usually fail to address more than one scale, which can result in the misidentification of the underlying processes. Here, we addressed the multi-scale nature of wildlife damage occurrence by considering ecological and management correlates interacting from household to landscape scales. We studied brown bear (Ursus arctos) damage to apiaries in the North-eastern Carpathians as our model system. Using generalized additive models, we found that brown bear tendency to avoid humans and the habitat preferences of bears and beekeepers determine the risk of bear damage at multiple scales. Damage risk at fine scales increased when the broad landscape context also favoured damage. Furthermore, integrated-scale risk maps resulted in more accurate predictions than single-scale models. Our results suggest that principles of resource selection by animals can be used to understand the occurrence of damage and help mitigate conflicts in a proactive and preventive manner. Text Ursus arctos PubMed Central (PMC) Proceedings of the Royal Society B: Biological Sciences 288 1958 |
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English |
topic |
Ecology |
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Ecology Bautista, Carlos Revilla, Eloy Berezowska-Cnota, Teresa Fernández, Néstor Naves, Javier Selva, Nuria Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
topic_facet |
Ecology |
description |
Human encroachment into natural habitats is typically followed by conflicts derived from wildlife damage to agriculture and livestock. Spatial risk modelling is a useful tool to gain the understanding of wildlife damage and mitigate conflicts. Although resource selection is a hierarchical process operating at multiple scales, risk models usually fail to address more than one scale, which can result in the misidentification of the underlying processes. Here, we addressed the multi-scale nature of wildlife damage occurrence by considering ecological and management correlates interacting from household to landscape scales. We studied brown bear (Ursus arctos) damage to apiaries in the North-eastern Carpathians as our model system. Using generalized additive models, we found that brown bear tendency to avoid humans and the habitat preferences of bears and beekeepers determine the risk of bear damage at multiple scales. Damage risk at fine scales increased when the broad landscape context also favoured damage. Furthermore, integrated-scale risk maps resulted in more accurate predictions than single-scale models. Our results suggest that principles of resource selection by animals can be used to understand the occurrence of damage and help mitigate conflicts in a proactive and preventive manner. |
format |
Text |
author |
Bautista, Carlos Revilla, Eloy Berezowska-Cnota, Teresa Fernández, Néstor Naves, Javier Selva, Nuria |
author_facet |
Bautista, Carlos Revilla, Eloy Berezowska-Cnota, Teresa Fernández, Néstor Naves, Javier Selva, Nuria |
author_sort |
Bautista, Carlos |
title |
Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
title_short |
Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
title_full |
Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
title_fullStr |
Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
title_full_unstemmed |
Spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
title_sort |
spatial ecology of conflicts: unravelling patterns of wildlife damage at multiple scales |
publisher |
The Royal Society |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437235/ http://www.ncbi.nlm.nih.gov/pubmed/34465240 https://doi.org/10.1098/rspb.2021.1394 |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_source |
Proc Biol Sci |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437235/ http://www.ncbi.nlm.nih.gov/pubmed/34465240 http://dx.doi.org/10.1098/rspb.2021.1394 |
op_rights |
© 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
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CC-BY |
op_doi |
https://doi.org/10.1098/rspb.2021.1394 |
container_title |
Proceedings of the Royal Society B: Biological Sciences |
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288 |
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1958 |
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1766231685587795968 |