No Cover Image

Journal article 1532 views 164 downloads

‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals

Hawthorne L. Beyer, Eliezer Gurarie, Luca Borger Orcid Logo, Manuela Panzacchi, Mathieu Basille, Ivar Herfindal, Bram Van Moorter, Subhash R. Lele, Jason Matthiopoulos, John Fryxell

Journal of Animal Ecology, Volume: 85, Issue: 1, Pages: 43 - 53

Swansea University Author: Luca Borger Orcid Logo

DOI (Published version): 10.1111/1365-2656.12275

Abstract

1. Impediments to animal movement are ubiquitous and vary widely in both scale and permeability. It is essential to understand how impediments alter ecological dynamics via their influence on animal behavioural strategies governing space use and, for anthropogenic features such as roads and fences,...

Full description

Published in: Journal of Animal Ecology
Published: 2015
Online Access: http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12275/abstract
URI: https://cronfa.swan.ac.uk/Record/cronfa19059
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2014-11-04T02:30:09Z
last_indexed 2021-07-17T02:32:07Z
id cronfa19059
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-07-16T14:48:07.8525394</datestamp><bib-version>v2</bib-version><id>19059</id><entry>2014-11-03</entry><title>&#x2018;You shall not pass!&#x2019;: quantifying barrier permeability and proximity avoidance by animals</title><swanseaauthors><author><sid>8416d0ffc3cccdad6e6d67a455e7c4a2</sid><ORCID>0000-0001-8763-5997</ORCID><firstname>Luca</firstname><surname>Borger</surname><name>Luca Borger</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2014-11-03</date><deptcode>SBI</deptcode><abstract>1. Impediments to animal movement are ubiquitous and vary widely in both scale and permeability. It is essential to understand how impediments alter ecological dynamics via their influence on animal behavioural strategies governing space use and, for anthropogenic features such as roads and fences, how to mitigate these effects to effectively manage species and landscapes.2. Here, we focused primarily on barriers to movement, which we define as features that cannot be circumnavigated but may be crossed. Responses to barriers will be influenced by the movement capabilities of the animal, its proximity to the barriers, and habitat preference. We developed a mechanistic modelling framework for simultaneously quantifying the permeability and proximity effects of barriers on habitat preference and movement.3. We used simulations based on our model to demonstrate how parameters on movement, habitat preference and barrier permeability can be estimated statistically. We then applied the model to a case study of road effects on wild mountain reindeer summer movements.4. This framework provided unbiased and precise parameter estimates across a range of strengths of preferences and barrier permeabilities. The quality of permeability estimates, however, was correlated with the number of times the barrier is crossed and the number of locations in proximity to barriers. In the case study we found that reindeer avoided areas near roads and that roads are semi-permeable barriers to movement. There was strong avoidance of roads extending up to c. 1 km for four of five animals, and having to cross roads reduced the probability of movement by 68&#xB7;6% (range 3&#xB7;5&#x2013;99&#xB7;5%).5. Human infrastructure has embedded within it the idea of networks: nodes connected by linear features such as roads, rail tracks, pipelines, fences and cables, many of which divide the landscape and limit animal movement. The unintended but potentially profound consequences of infrastructure on animals remain poorly understood. The rigorous framework for simultaneously quantifying movement, habitat preference and barrier permeability developed here begins to address this knowledge gap.</abstract><type>Journal Article</type><journal>Journal of Animal Ecology</journal><volume>85</volume><journalNumber>1</journalNumber><paginationStart>43</paginationStart><paginationEnd>53</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>animal movement, connectivity, fences, movement ecology, Rangifer tarandus, reindeer, resistance, resource selection, roads, step selection, animal ecology, behavioural ecology,</keywords><publishedDay>9</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-12-09</publishedDate><doi>10.1111/1365-2656.12275</doi><url>http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12275/abstract</url><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-07-16T14:48:07.8525394</lastEdited><Created>2014-11-03T17:30:10.9024710</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Hawthorne L.</firstname><surname>Beyer</surname><order>1</order></author><author><firstname>Eliezer</firstname><surname>Gurarie</surname><order>2</order></author><author><firstname>Luca</firstname><surname>Borger</surname><orcid>0000-0001-8763-5997</orcid><order>3</order></author><author><firstname>Manuela</firstname><surname>Panzacchi</surname><order>4</order></author><author><firstname>Mathieu</firstname><surname>Basille</surname><order>5</order></author><author><firstname>Ivar</firstname><surname>Herfindal</surname><order>6</order></author><author><firstname>Bram Van</firstname><surname>Moorter</surname><order>7</order></author><author><firstname>Subhash R.</firstname><surname>Lele</surname><order>8</order></author><author><firstname>Jason</firstname><surname>Matthiopoulos</surname><order>9</order></author><author><firstname>John</firstname><surname>Fryxell</surname><order>10</order></author></authors><documents><document><filename>0019059-08072015212821.pdf</filename><originalFilename>Beyer_etal_2014_BarrierPermeabilityStepSelModel.pdf</originalFilename><uploaded>2015-07-08T21:28:21.2030000</uploaded><type>Output</type><contentLength>1357241</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2017-01-01T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2021-07-16T14:48:07.8525394 v2 19059 2014-11-03 ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals 8416d0ffc3cccdad6e6d67a455e7c4a2 0000-0001-8763-5997 Luca Borger Luca Borger true false 2014-11-03 SBI 1. Impediments to animal movement are ubiquitous and vary widely in both scale and permeability. It is essential to understand how impediments alter ecological dynamics via their influence on animal behavioural strategies governing space use and, for anthropogenic features such as roads and fences, how to mitigate these effects to effectively manage species and landscapes.2. Here, we focused primarily on barriers to movement, which we define as features that cannot be circumnavigated but may be crossed. Responses to barriers will be influenced by the movement capabilities of the animal, its proximity to the barriers, and habitat preference. We developed a mechanistic modelling framework for simultaneously quantifying the permeability and proximity effects of barriers on habitat preference and movement.3. We used simulations based on our model to demonstrate how parameters on movement, habitat preference and barrier permeability can be estimated statistically. We then applied the model to a case study of road effects on wild mountain reindeer summer movements.4. This framework provided unbiased and precise parameter estimates across a range of strengths of preferences and barrier permeabilities. The quality of permeability estimates, however, was correlated with the number of times the barrier is crossed and the number of locations in proximity to barriers. In the case study we found that reindeer avoided areas near roads and that roads are semi-permeable barriers to movement. There was strong avoidance of roads extending up to c. 1 km for four of five animals, and having to cross roads reduced the probability of movement by 68·6% (range 3·5–99·5%).5. Human infrastructure has embedded within it the idea of networks: nodes connected by linear features such as roads, rail tracks, pipelines, fences and cables, many of which divide the landscape and limit animal movement. The unintended but potentially profound consequences of infrastructure on animals remain poorly understood. The rigorous framework for simultaneously quantifying movement, habitat preference and barrier permeability developed here begins to address this knowledge gap. Journal Article Journal of Animal Ecology 85 1 43 53 animal movement, connectivity, fences, movement ecology, Rangifer tarandus, reindeer, resistance, resource selection, roads, step selection, animal ecology, behavioural ecology, 9 12 2015 2015-12-09 10.1111/1365-2656.12275 http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12275/abstract COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2021-07-16T14:48:07.8525394 2014-11-03T17:30:10.9024710 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Hawthorne L. Beyer 1 Eliezer Gurarie 2 Luca Borger 0000-0001-8763-5997 3 Manuela Panzacchi 4 Mathieu Basille 5 Ivar Herfindal 6 Bram Van Moorter 7 Subhash R. Lele 8 Jason Matthiopoulos 9 John Fryxell 10 0019059-08072015212821.pdf Beyer_etal_2014_BarrierPermeabilityStepSelModel.pdf 2015-07-08T21:28:21.2030000 Output 1357241 application/pdf Version of Record true 2017-01-01T00:00:00.0000000 true
title ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
spellingShingle ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
Luca Borger
title_short ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
title_full ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
title_fullStr ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
title_full_unstemmed ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
title_sort ‘You shall not pass!’: quantifying barrier permeability and proximity avoidance by animals
author_id_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2
author_id_fullname_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2_***_Luca Borger
author Luca Borger
author2 Hawthorne L. Beyer
Eliezer Gurarie
Luca Borger
Manuela Panzacchi
Mathieu Basille
Ivar Herfindal
Bram Van Moorter
Subhash R. Lele
Jason Matthiopoulos
John Fryxell
format Journal article
container_title Journal of Animal Ecology
container_volume 85
container_issue 1
container_start_page 43
publishDate 2015
institution Swansea University
doi_str_mv 10.1111/1365-2656.12275
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
url http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12275/abstract
document_store_str 1
active_str 0
description 1. Impediments to animal movement are ubiquitous and vary widely in both scale and permeability. It is essential to understand how impediments alter ecological dynamics via their influence on animal behavioural strategies governing space use and, for anthropogenic features such as roads and fences, how to mitigate these effects to effectively manage species and landscapes.2. Here, we focused primarily on barriers to movement, which we define as features that cannot be circumnavigated but may be crossed. Responses to barriers will be influenced by the movement capabilities of the animal, its proximity to the barriers, and habitat preference. We developed a mechanistic modelling framework for simultaneously quantifying the permeability and proximity effects of barriers on habitat preference and movement.3. We used simulations based on our model to demonstrate how parameters on movement, habitat preference and barrier permeability can be estimated statistically. We then applied the model to a case study of road effects on wild mountain reindeer summer movements.4. This framework provided unbiased and precise parameter estimates across a range of strengths of preferences and barrier permeabilities. The quality of permeability estimates, however, was correlated with the number of times the barrier is crossed and the number of locations in proximity to barriers. In the case study we found that reindeer avoided areas near roads and that roads are semi-permeable barriers to movement. There was strong avoidance of roads extending up to c. 1 km for four of five animals, and having to cross roads reduced the probability of movement by 68·6% (range 3·5–99·5%).5. Human infrastructure has embedded within it the idea of networks: nodes connected by linear features such as roads, rail tracks, pipelines, fences and cables, many of which divide the landscape and limit animal movement. The unintended but potentially profound consequences of infrastructure on animals remain poorly understood. The rigorous framework for simultaneously quantifying movement, habitat preference and barrier permeability developed here begins to address this knowledge gap.
published_date 2015-12-09T03:22:22Z
_version_ 1763750698870112256
score 11.016235

Similar Items