Towns and trails drive carnivore movement behaviour, resource selection, and connectivity

BACKGROUND: Global increases in human activity threaten connectivity of animal habitat and populations. Protection and restoration of wildlife habitat and movement corridors require robust models to forecast the effects of human activity on movement behaviour, resource selection, and connectivity. R...

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Published in:Movement Ecology
Main Authors: Whittington, Jesse, Hebblewhite, Mark, Baron, Robin W., Ford, Adam T., Paczkowski, John
Format: Text
Language:English
Published: BioMed Central 2022
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994267/
http://www.ncbi.nlm.nih.gov/pubmed/35395833
https://doi.org/10.1186/s40462-022-00318-5
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8994267 2023-05-15T15:50:54+02:00 Towns and trails drive carnivore movement behaviour, resource selection, and connectivity Whittington, Jesse Hebblewhite, Mark Baron, Robin W. Ford, Adam T. Paczkowski, John 2022-04-08 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994267/ http://www.ncbi.nlm.nih.gov/pubmed/35395833 https://doi.org/10.1186/s40462-022-00318-5 en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994267/ http://www.ncbi.nlm.nih.gov/pubmed/35395833 http://dx.doi.org/10.1186/s40462-022-00318-5 © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. CC0 PDM CC-BY Mov Ecol Research Text 2022 ftpubmed https://doi.org/10.1186/s40462-022-00318-5 2022-04-17T00:49:54Z BACKGROUND: Global increases in human activity threaten connectivity of animal habitat and populations. Protection and restoration of wildlife habitat and movement corridors require robust models to forecast the effects of human activity on movement behaviour, resource selection, and connectivity. Recent research suggests that animal resource selection and responses to human activity depend on their behavioural movement state, with increased tolerance for human activity in fast states of movement. Yet, few studies have incorporated state-dependent movement behaviour into analyses of Merriam connectivity, that is individual-based metrics of connectivity that incorporate landscape structure and movement behaviour. METHODS: We assessed the cumulative effects of anthropogenic development on multiple movement processes including movement behaviour, resource selection, and Merriam connectivity. We simulated movement paths using hidden Markov movement models and step selection functions to estimate habitat use and connectivity for three landscape scenarios: reference conditions with no anthropogenic development, current conditions, and future conditions with a simulated expansion of towns and recreational trails. Our analysis used 20 years of grizzly bear (Ursus arctos) and gray wolf (Canis lupus) movement data collected in and around Banff National Park, Canada. RESULTS: Carnivores increased their speed of travel near towns and areas of high trail and road density, presumably to avoid encounters with people. They exhibited stronger avoidance of anthropogenic development when foraging and resting compared to travelling and during the day compared to night. Wolves exhibited stronger avoidance of anthropogenic development than grizzly bears. Current development reduced the amount of high-quality habitat between two mountain towns by more than 35%. Habitat degradation constrained movement routes around towns and was most pronounced for foraging and resting behaviour. Current anthropogenic development reduced connectivity ... Text Canis lupus gray wolf Ursus arctos PubMed Central (PMC) Canada Movement Ecology 10 1
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research
spellingShingle Research
Whittington, Jesse
Hebblewhite, Mark
Baron, Robin W.
Ford, Adam T.
Paczkowski, John
Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
topic_facet Research
description BACKGROUND: Global increases in human activity threaten connectivity of animal habitat and populations. Protection and restoration of wildlife habitat and movement corridors require robust models to forecast the effects of human activity on movement behaviour, resource selection, and connectivity. Recent research suggests that animal resource selection and responses to human activity depend on their behavioural movement state, with increased tolerance for human activity in fast states of movement. Yet, few studies have incorporated state-dependent movement behaviour into analyses of Merriam connectivity, that is individual-based metrics of connectivity that incorporate landscape structure and movement behaviour. METHODS: We assessed the cumulative effects of anthropogenic development on multiple movement processes including movement behaviour, resource selection, and Merriam connectivity. We simulated movement paths using hidden Markov movement models and step selection functions to estimate habitat use and connectivity for three landscape scenarios: reference conditions with no anthropogenic development, current conditions, and future conditions with a simulated expansion of towns and recreational trails. Our analysis used 20 years of grizzly bear (Ursus arctos) and gray wolf (Canis lupus) movement data collected in and around Banff National Park, Canada. RESULTS: Carnivores increased their speed of travel near towns and areas of high trail and road density, presumably to avoid encounters with people. They exhibited stronger avoidance of anthropogenic development when foraging and resting compared to travelling and during the day compared to night. Wolves exhibited stronger avoidance of anthropogenic development than grizzly bears. Current development reduced the amount of high-quality habitat between two mountain towns by more than 35%. Habitat degradation constrained movement routes around towns and was most pronounced for foraging and resting behaviour. Current anthropogenic development reduced connectivity ...
format Text
author Whittington, Jesse
Hebblewhite, Mark
Baron, Robin W.
Ford, Adam T.
Paczkowski, John
author_facet Whittington, Jesse
Hebblewhite, Mark
Baron, Robin W.
Ford, Adam T.
Paczkowski, John
author_sort Whittington, Jesse
title Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
title_short Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
title_full Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
title_fullStr Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
title_full_unstemmed Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
title_sort towns and trails drive carnivore movement behaviour, resource selection, and connectivity
publisher BioMed Central
publishDate 2022
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994267/
http://www.ncbi.nlm.nih.gov/pubmed/35395833
https://doi.org/10.1186/s40462-022-00318-5
geographic Canada
geographic_facet Canada
genre Canis lupus
gray wolf
Ursus arctos
genre_facet Canis lupus
gray wolf
Ursus arctos
op_source Mov Ecol
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994267/
http://www.ncbi.nlm.nih.gov/pubmed/35395833
http://dx.doi.org/10.1186/s40462-022-00318-5
op_rights © The Author(s) 2022
https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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