Caught in the mesh: roads and their network-scale impediment to animal movement

Roads have a pervasive multi-faceted influence on ecosystems, including pronounced impacts on wildlife movements. In recognition of the scale-transcending impacts of transportation infrastructure, ecologists have been encouraged to extend the study of barrier impacts from individual roads and animal...

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Published in:Ecography
Main Authors: Bischof, Richard, Steyaert, Sam, Kindberg, Jonas
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/11250/2456726
https://doi.org/10.1111/ecog.02801
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spelling ftninstnf:oai:brage.nina.no:11250/2456726 2023-05-15T18:42:07+02:00 Caught in the mesh: roads and their network-scale impediment to animal movement Bischof, Richard Steyaert, Sam Kindberg, Jonas 2017 application/pdf http://hdl.handle.net/11250/2456726 https://doi.org/10.1111/ecog.02801 eng eng Andre: Polish-Norwegian Research Program Norges forskningsråd: 204202 Andre: Centre for Advanced Studies at the Norwegian Academy of Scie urn:issn:0906-7590 http://hdl.handle.net/11250/2456726 https://doi.org/10.1111/ecog.02801 cristin:1412408 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY Ecography Journal article Peer reviewed 2017 ftninstnf https://doi.org/10.1111/ecog.02801 2021-12-23T07:16:47Z Roads have a pervasive multi-faceted influence on ecosystems, including pronounced impacts on wildlife movements. In recognition of the scale-transcending impacts of transportation infrastructure, ecologists have been encouraged to extend the study of barrier impacts from individual roads and animals to networks and populations. In this study, we adopt an analytical representation of road networks as mosaics of landscape tiles, separated by roads. We then adapt spatial capture-recapture analysis to estimate the propensity of wildlife to stay within the boundaries of the road network tiles (RNTs) that hold their activity centres. We fit the model to national non-invasive genetic monitoring data for brown bears (Ursus arctos) in Sweden and show that bears had up to 73% lower odds of using areas outside the network tile of their home range centre, even after accounting for the effect of natural barriers (major rivers) and the decrease in utilization with increasing distance from a bear’s activity centre. Our study highlights the pronounced landscape-level barrier effect on wildlife mobility and, in doing so, introduces a novel and flexible approach for quantifying contemporary fragmentation from the scale of RNTs and individual animals to transportation networks and populations. non-invasive genetic sampling, road network tile, island biogeography, road ecology, spatial capture-recapture, fragmentation, carnivores, transportation network acceptedVersion publishedVersion Article in Journal/Newspaper Ursus arctos Norwegian Institute for Nature Research: Brage NINA Ecography 40 12 1369 1380
institution Open Polar
collection Norwegian Institute for Nature Research: Brage NINA
op_collection_id ftninstnf
language English
description Roads have a pervasive multi-faceted influence on ecosystems, including pronounced impacts on wildlife movements. In recognition of the scale-transcending impacts of transportation infrastructure, ecologists have been encouraged to extend the study of barrier impacts from individual roads and animals to networks and populations. In this study, we adopt an analytical representation of road networks as mosaics of landscape tiles, separated by roads. We then adapt spatial capture-recapture analysis to estimate the propensity of wildlife to stay within the boundaries of the road network tiles (RNTs) that hold their activity centres. We fit the model to national non-invasive genetic monitoring data for brown bears (Ursus arctos) in Sweden and show that bears had up to 73% lower odds of using areas outside the network tile of their home range centre, even after accounting for the effect of natural barriers (major rivers) and the decrease in utilization with increasing distance from a bear’s activity centre. Our study highlights the pronounced landscape-level barrier effect on wildlife mobility and, in doing so, introduces a novel and flexible approach for quantifying contemporary fragmentation from the scale of RNTs and individual animals to transportation networks and populations. non-invasive genetic sampling, road network tile, island biogeography, road ecology, spatial capture-recapture, fragmentation, carnivores, transportation network acceptedVersion publishedVersion
format Article in Journal/Newspaper
author Bischof, Richard
Steyaert, Sam
Kindberg, Jonas
spellingShingle Bischof, Richard
Steyaert, Sam
Kindberg, Jonas
Caught in the mesh: roads and their network-scale impediment to animal movement
author_facet Bischof, Richard
Steyaert, Sam
Kindberg, Jonas
author_sort Bischof, Richard
title Caught in the mesh: roads and their network-scale impediment to animal movement
title_short Caught in the mesh: roads and their network-scale impediment to animal movement
title_full Caught in the mesh: roads and their network-scale impediment to animal movement
title_fullStr Caught in the mesh: roads and their network-scale impediment to animal movement
title_full_unstemmed Caught in the mesh: roads and their network-scale impediment to animal movement
title_sort caught in the mesh: roads and their network-scale impediment to animal movement
publishDate 2017
url http://hdl.handle.net/11250/2456726
https://doi.org/10.1111/ecog.02801
genre Ursus arctos
genre_facet Ursus arctos
op_source Ecography
op_relation Andre: Polish-Norwegian Research Program
Norges forskningsråd: 204202
Andre: Centre for Advanced Studies at the Norwegian Academy of Scie
urn:issn:0906-7590
http://hdl.handle.net/11250/2456726
https://doi.org/10.1111/ecog.02801
cristin:1412408
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
op_rightsnorm CC-BY
op_doi https://doi.org/10.1111/ecog.02801
container_title Ecography
container_volume 40
container_issue 12
container_start_page 1369
op_container_end_page 1380
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