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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Language: | English |
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Online Access: | http://hdl.handle.net/11250/2456726 https://doi.org/10.1111/ecog.02801 |
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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 |
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Open Polar |
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Norwegian Institute for Nature Research: Brage NINA |
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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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1766231724301221888 |