Towns and trails drive carnivore movement behaviour, resource selection, and connectivity
Abstract 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 connect...
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ftdoajarticles:oai:doaj.org/article:479f74cf02844d01b1859e7f9ae00b1f 2023-05-15T15:50:56+02:00 Towns and trails drive carnivore movement behaviour, resource selection, and connectivity Jesse Whittington Mark Hebblewhite Robin W. Baron Adam T. Ford John Paczkowski 2022-04-01T00:00:00Z https://doi.org/10.1186/s40462-022-00318-5 https://doaj.org/article/479f74cf02844d01b1859e7f9ae00b1f EN eng BMC https://doi.org/10.1186/s40462-022-00318-5 https://doaj.org/toc/2051-3933 doi:10.1186/s40462-022-00318-5 2051-3933 https://doaj.org/article/479f74cf02844d01b1859e7f9ae00b1f Movement Ecology, Vol 10, Iss 1, Pp 1-18 (2022) Connectivity Conservation Corridor Hidden Markov Movement ecology Human development Biology (General) QH301-705.5 article 2022 ftdoajarticles https://doi.org/10.1186/s40462-022-00318-5 2022-12-31T12:12:24Z Abstract 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 ... Article in Journal/Newspaper Canis lupus gray wolf Ursus arctos Directory of Open Access Journals: DOAJ Articles Canada Movement Ecology 10 1 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Connectivity Conservation Corridor Hidden Markov Movement ecology Human development Biology (General) QH301-705.5 |
spellingShingle |
Connectivity Conservation Corridor Hidden Markov Movement ecology Human development Biology (General) QH301-705.5 Jesse Whittington Mark Hebblewhite Robin W. Baron Adam T. Ford John Paczkowski Towns and trails drive carnivore movement behaviour, resource selection, and connectivity |
topic_facet |
Connectivity Conservation Corridor Hidden Markov Movement ecology Human development Biology (General) QH301-705.5 |
description |
Abstract 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 ... |
format |
Article in Journal/Newspaper |
author |
Jesse Whittington Mark Hebblewhite Robin W. Baron Adam T. Ford John Paczkowski |
author_facet |
Jesse Whittington Mark Hebblewhite Robin W. Baron Adam T. Ford John Paczkowski |
author_sort |
Jesse Whittington |
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 |
BMC |
publishDate |
2022 |
url |
https://doi.org/10.1186/s40462-022-00318-5 https://doaj.org/article/479f74cf02844d01b1859e7f9ae00b1f |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Canis lupus gray wolf Ursus arctos |
genre_facet |
Canis lupus gray wolf Ursus arctos |
op_source |
Movement Ecology, Vol 10, Iss 1, Pp 1-18 (2022) |
op_relation |
https://doi.org/10.1186/s40462-022-00318-5 https://doaj.org/toc/2051-3933 doi:10.1186/s40462-022-00318-5 2051-3933 https://doaj.org/article/479f74cf02844d01b1859e7f9ae00b1f |
op_doi |
https://doi.org/10.1186/s40462-022-00318-5 |
container_title |
Movement Ecology |
container_volume |
10 |
container_issue |
1 |
_version_ |
1766385963820384256 |