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...

Full description

Bibliographic Details
Published in:Ecography
Main Authors: Bischof, Richard, Steyaert, Sam, Kindberg, Jonas
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/11250/2425762
https://doi.org/10.1111/ecog.02801
id ftninstnf:oai:brage.nina.no:11250/2425762
record_format openpolar
spelling ftninstnf:oai:brage.nina.no:11250/2425762 2023-05-15T18:42:08+02:00 Caught in the mesh: roads and their network-scale impediment to animal movement Bischof, Richard Steyaert, Sam Kindberg, Jonas 2016 application/pdf http://hdl.handle.net/11250/2425762 https://doi.org/10.1111/ecog.02801 eng eng urn:issn:0906-7590 http://hdl.handle.net/11250/2425762 https://doi.org/10.1111/ecog.02801 cristin:1412408 Ecography non-invasive genetic sampling road network tile island biogeography road ecology spatial captuer-recapture fragmentation carnivores transportation network Journal article Peer reviewed 2016 ftninstnf https://doi.org/10.1111/ecog.02801 2021-12-23T07:16:59Z 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 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
topic non-invasive genetic sampling
road network tile
island biogeography
road ecology
spatial captuer-recapture
fragmentation
carnivores
transportation network
spellingShingle non-invasive genetic sampling
road network tile
island biogeography
road ecology
spatial captuer-recapture
fragmentation
carnivores
transportation network
Bischof, Richard
Steyaert, Sam
Kindberg, Jonas
Caught in the mesh: roads and their network-scale impediment to animal movement
topic_facet non-invasive genetic sampling
road network tile
island biogeography
road ecology
spatial captuer-recapture
fragmentation
carnivores
transportation network
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
format Article in Journal/Newspaper
author Bischof, Richard
Steyaert, Sam
Kindberg, Jonas
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 2016
url http://hdl.handle.net/11250/2425762
https://doi.org/10.1111/ecog.02801
genre Ursus arctos
genre_facet Ursus arctos
op_source Ecography
op_relation urn:issn:0906-7590
http://hdl.handle.net/11250/2425762
https://doi.org/10.1111/ecog.02801
cristin:1412408
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
_version_ 1766231754359701504