Loading…
Two species, one island: Retrospective analysis of threatened fauna translocations with divergent outcomes
Translocations are globally a popular tool used with the intention of improving threatened species conservation and re-establishing ecosystem function. While practitioners strive for successful outcomes the failure rate of translocations continues to be high. We demonstrate how predictive modelling...
Saved in:
Published in: | PloS one 2021-07, Vol.16 (7), p.e0253962-e0253962 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053 |
---|---|
cites | cdi_FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053 |
container_end_page | e0253962 |
container_issue | 7 |
container_start_page | e0253962 |
container_title | PloS one |
container_volume | 16 |
creator | Rayner, Kelly Lohr, Cheryl A Garretson, Sean Speldewinde, Peter |
description | Translocations are globally a popular tool used with the intention of improving threatened species conservation and re-establishing ecosystem function. While practitioners strive for successful outcomes the failure rate of translocations continues to be high. We demonstrate how predictive modelling can contribute to more informed decision making and hence potentially improve the success rate of translocation programs. Two species, the Djoongari (Shark Bay mouse) Pseudomys fieldi and the golden bandicoot Isoodon auratus barrowensis, were introduced independently to Doole Island in the Exmouth Gulf of Western Australia. We used population viability analysis to critique the outcomes of these translocations and provide an example of how this tool can be incorporated with expert knowledge to predict likely outcomes of translocations. Djoongari did not establish on the island after seven translocations over nine years, while golden bandicoots established a population after just one release event. Retrospective population viability analysis (of data that was unavailable prior to the translocations) predicted and clarified the reasons behind the outcomes of both translocations. Golden bandicoots have considerably higher demographic plasticity than Djoongari, which were never likely to establish on the island. We conclude that the failure of the Djoongari translocation was due to interactions between sparse habitat, native predators and cyclonic storm surges, whereas golden bandicoots have demonstrated habitat flexibility and an ability to recover from multiple natural disasters. As a result we (1) remind conservation planners of the importance of quantifying likely refuges and habitat availability at release sites, (2) suggest practitioners consider how different threats (including natural disasters) may interact at potential release sites and (3) advocate for the incorporation of predictive modelling during the planning stages of translocations, particularly for conservation introductions where no precedent exists for the species' survival at a particular location. |
doi_str_mv | 10.1371/journal.pone.0253962 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2550612636</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A668262877</galeid><doaj_id>oai_doaj_org_article_ae388c11b32e4959a6a4caaf89b71bee</doaj_id><sourcerecordid>A668262877</sourcerecordid><originalsourceid>FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053</originalsourceid><addsrcrecordid>eNqNk1trFDEUxwdRbK1-A8GAIArumstMZuKDUIqXhUKhVl_DmcyZ3Syzk22Sae23N7s7Skf6IHlISH7nfy45J8teMjpnomQf1m7wPXTzretxTnkhlOSPsmOmBJ9JTsXje-ej7FkIa0oLUUn5NDsSOS84o-w4W1_dOhK2aCyG9yRJERs66JuP5BKjd7uXaG-QQHJ1F2wgriVx5REi9tiQFoYeSPTQh84ZiNb1gdzauCJNsvJL7CNxQzRug-F59qSFLuCLcT_Jfnz5fHX2bXZ-8XVxdno-M1KqOOOq4IiQG1aLiqlKKRR5XfI6nUQDFbTUmAbzWpWtFIWqG46ArGCpBrRMKZ5krw66284FPZYpaF4UVDIuhUzE4kA0DtZ66-0G_J12YPX-wvmlBh-t6VADiqoyLMXCMVeFApkiA2grVZesRkxan0ZvQ73BxqSMPXQT0elLb1d66W50xcu8KnkSeDsKeHc9YIh6Y4PBLv0CumEfN-NUlblI6Ot_0IezG6klpARs37rk1-xE9amUFZe8KstEzR-g0mpwY01qhNam-4nBu4lBYiL-iksYQtCL75f_z178nLJv7rErhC6uguuGfS9NwfwAmtSXwWP7t8iM6t1I_KmG3o2EHkdC_AaNz_5Z</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2550612636</pqid></control><display><type>article</type><title>Two species, one island: Retrospective analysis of threatened fauna translocations with divergent outcomes</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database</source><creator>Rayner, Kelly ; Lohr, Cheryl A ; Garretson, Sean ; Speldewinde, Peter</creator><contributor>Maldonado, Jesus E.</contributor><creatorcontrib>Rayner, Kelly ; Lohr, Cheryl A ; Garretson, Sean ; Speldewinde, Peter ; Maldonado, Jesus E.</creatorcontrib><description>Translocations are globally a popular tool used with the intention of improving threatened species conservation and re-establishing ecosystem function. While practitioners strive for successful outcomes the failure rate of translocations continues to be high. We demonstrate how predictive modelling can contribute to more informed decision making and hence potentially improve the success rate of translocation programs. Two species, the Djoongari (Shark Bay mouse) Pseudomys fieldi and the golden bandicoot Isoodon auratus barrowensis, were introduced independently to Doole Island in the Exmouth Gulf of Western Australia. We used population viability analysis to critique the outcomes of these translocations and provide an example of how this tool can be incorporated with expert knowledge to predict likely outcomes of translocations. Djoongari did not establish on the island after seven translocations over nine years, while golden bandicoots established a population after just one release event. Retrospective population viability analysis (of data that was unavailable prior to the translocations) predicted and clarified the reasons behind the outcomes of both translocations. Golden bandicoots have considerably higher demographic plasticity than Djoongari, which were never likely to establish on the island. We conclude that the failure of the Djoongari translocation was due to interactions between sparse habitat, native predators and cyclonic storm surges, whereas golden bandicoots have demonstrated habitat flexibility and an ability to recover from multiple natural disasters. As a result we (1) remind conservation planners of the importance of quantifying likely refuges and habitat availability at release sites, (2) suggest practitioners consider how different threats (including natural disasters) may interact at potential release sites and (3) advocate for the incorporation of predictive modelling during the planning stages of translocations, particularly for conservation introductions where no precedent exists for the species' survival at a particular location.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0253962</identifier><identifier>PMID: 34252101</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Analysis ; Animals ; Biodiversity ; Biology and Life Sciences ; Conservation ; Cyclones ; Decision making ; Disaster relief ; Divergence ; Earth Sciences ; Ecology and Environmental Sciences ; Endangered & extinct species ; Ethics ; Extinction ; Failure rates ; Habitat availability ; Habitats ; Modelling ; Natural disasters ; People and Places ; Physical Sciences ; Plant translocation ; Population ; Population viability ; Predators ; Prediction models ; Research and Analysis Methods ; Rodents ; Sharks ; Storm surges ; Threatened species ; Translocation ; Wildlife conservation</subject><ispartof>PloS one, 2021-07, Vol.16 (7), p.e0253962-e0253962</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Rayner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Rayner et al 2021 Rayner et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053</citedby><cites>FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053</cites><orcidid>0000-0002-1597-7100 ; 0000-0002-1671-3633 ; 0000-0002-8925-0983</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2550612636/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2550612636?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><contributor>Maldonado, Jesus E.</contributor><creatorcontrib>Rayner, Kelly</creatorcontrib><creatorcontrib>Lohr, Cheryl A</creatorcontrib><creatorcontrib>Garretson, Sean</creatorcontrib><creatorcontrib>Speldewinde, Peter</creatorcontrib><title>Two species, one island: Retrospective analysis of threatened fauna translocations with divergent outcomes</title><title>PloS one</title><description>Translocations are globally a popular tool used with the intention of improving threatened species conservation and re-establishing ecosystem function. While practitioners strive for successful outcomes the failure rate of translocations continues to be high. We demonstrate how predictive modelling can contribute to more informed decision making and hence potentially improve the success rate of translocation programs. Two species, the Djoongari (Shark Bay mouse) Pseudomys fieldi and the golden bandicoot Isoodon auratus barrowensis, were introduced independently to Doole Island in the Exmouth Gulf of Western Australia. We used population viability analysis to critique the outcomes of these translocations and provide an example of how this tool can be incorporated with expert knowledge to predict likely outcomes of translocations. Djoongari did not establish on the island after seven translocations over nine years, while golden bandicoots established a population after just one release event. Retrospective population viability analysis (of data that was unavailable prior to the translocations) predicted and clarified the reasons behind the outcomes of both translocations. Golden bandicoots have considerably higher demographic plasticity than Djoongari, which were never likely to establish on the island. We conclude that the failure of the Djoongari translocation was due to interactions between sparse habitat, native predators and cyclonic storm surges, whereas golden bandicoots have demonstrated habitat flexibility and an ability to recover from multiple natural disasters. As a result we (1) remind conservation planners of the importance of quantifying likely refuges and habitat availability at release sites, (2) suggest practitioners consider how different threats (including natural disasters) may interact at potential release sites and (3) advocate for the incorporation of predictive modelling during the planning stages of translocations, particularly for conservation introductions where no precedent exists for the species' survival at a particular location.</description><subject>Analysis</subject><subject>Animals</subject><subject>Biodiversity</subject><subject>Biology and Life Sciences</subject><subject>Conservation</subject><subject>Cyclones</subject><subject>Decision making</subject><subject>Disaster relief</subject><subject>Divergence</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Endangered & extinct species</subject><subject>Ethics</subject><subject>Extinction</subject><subject>Failure rates</subject><subject>Habitat availability</subject><subject>Habitats</subject><subject>Modelling</subject><subject>Natural disasters</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Plant translocation</subject><subject>Population</subject><subject>Population viability</subject><subject>Predators</subject><subject>Prediction models</subject><subject>Research and Analysis Methods</subject><subject>Rodents</subject><subject>Sharks</subject><subject>Storm surges</subject><subject>Threatened species</subject><subject>Translocation</subject><subject>Wildlife conservation</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1trFDEUxwdRbK1-A8GAIArumstMZuKDUIqXhUKhVl_DmcyZ3Syzk22Sae23N7s7Skf6IHlISH7nfy45J8teMjpnomQf1m7wPXTzretxTnkhlOSPsmOmBJ9JTsXje-ej7FkIa0oLUUn5NDsSOS84o-w4W1_dOhK2aCyG9yRJERs66JuP5BKjd7uXaG-QQHJ1F2wgriVx5REi9tiQFoYeSPTQh84ZiNb1gdzauCJNsvJL7CNxQzRug-F59qSFLuCLcT_Jfnz5fHX2bXZ-8XVxdno-M1KqOOOq4IiQG1aLiqlKKRR5XfI6nUQDFbTUmAbzWpWtFIWqG46ArGCpBrRMKZ5krw66284FPZYpaF4UVDIuhUzE4kA0DtZ66-0G_J12YPX-wvmlBh-t6VADiqoyLMXCMVeFApkiA2grVZesRkxan0ZvQ73BxqSMPXQT0elLb1d66W50xcu8KnkSeDsKeHc9YIh6Y4PBLv0CumEfN-NUlblI6Ot_0IezG6klpARs37rk1-xE9amUFZe8KstEzR-g0mpwY01qhNam-4nBu4lBYiL-iksYQtCL75f_z178nLJv7rErhC6uguuGfS9NwfwAmtSXwWP7t8iM6t1I_KmG3o2EHkdC_AaNz_5Z</recordid><startdate>20210712</startdate><enddate>20210712</enddate><creator>Rayner, Kelly</creator><creator>Lohr, Cheryl A</creator><creator>Garretson, Sean</creator><creator>Speldewinde, Peter</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1597-7100</orcidid><orcidid>https://orcid.org/0000-0002-1671-3633</orcidid><orcidid>https://orcid.org/0000-0002-8925-0983</orcidid></search><sort><creationdate>20210712</creationdate><title>Two species, one island: Retrospective analysis of threatened fauna translocations with divergent outcomes</title><author>Rayner, Kelly ; Lohr, Cheryl A ; Garretson, Sean ; Speldewinde, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Animals</topic><topic>Biodiversity</topic><topic>Biology and Life Sciences</topic><topic>Conservation</topic><topic>Cyclones</topic><topic>Decision making</topic><topic>Disaster relief</topic><topic>Divergence</topic><topic>Earth Sciences</topic><topic>Ecology and Environmental Sciences</topic><topic>Endangered & extinct species</topic><topic>Ethics</topic><topic>Extinction</topic><topic>Failure rates</topic><topic>Habitat availability</topic><topic>Habitats</topic><topic>Modelling</topic><topic>Natural disasters</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Plant translocation</topic><topic>Population</topic><topic>Population viability</topic><topic>Predators</topic><topic>Prediction models</topic><topic>Research and Analysis Methods</topic><topic>Rodents</topic><topic>Sharks</topic><topic>Storm surges</topic><topic>Threatened species</topic><topic>Translocation</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rayner, Kelly</creatorcontrib><creatorcontrib>Lohr, Cheryl A</creatorcontrib><creatorcontrib>Garretson, Sean</creatorcontrib><creatorcontrib>Speldewinde, Peter</creatorcontrib><collection>CrossRef</collection><collection>Gale in Context : Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rayner, Kelly</au><au>Lohr, Cheryl A</au><au>Garretson, Sean</au><au>Speldewinde, Peter</au><au>Maldonado, Jesus E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two species, one island: Retrospective analysis of threatened fauna translocations with divergent outcomes</atitle><jtitle>PloS one</jtitle><date>2021-07-12</date><risdate>2021</risdate><volume>16</volume><issue>7</issue><spage>e0253962</spage><epage>e0253962</epage><pages>e0253962-e0253962</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Translocations are globally a popular tool used with the intention of improving threatened species conservation and re-establishing ecosystem function. While practitioners strive for successful outcomes the failure rate of translocations continues to be high. We demonstrate how predictive modelling can contribute to more informed decision making and hence potentially improve the success rate of translocation programs. Two species, the Djoongari (Shark Bay mouse) Pseudomys fieldi and the golden bandicoot Isoodon auratus barrowensis, were introduced independently to Doole Island in the Exmouth Gulf of Western Australia. We used population viability analysis to critique the outcomes of these translocations and provide an example of how this tool can be incorporated with expert knowledge to predict likely outcomes of translocations. Djoongari did not establish on the island after seven translocations over nine years, while golden bandicoots established a population after just one release event. Retrospective population viability analysis (of data that was unavailable prior to the translocations) predicted and clarified the reasons behind the outcomes of both translocations. Golden bandicoots have considerably higher demographic plasticity than Djoongari, which were never likely to establish on the island. We conclude that the failure of the Djoongari translocation was due to interactions between sparse habitat, native predators and cyclonic storm surges, whereas golden bandicoots have demonstrated habitat flexibility and an ability to recover from multiple natural disasters. As a result we (1) remind conservation planners of the importance of quantifying likely refuges and habitat availability at release sites, (2) suggest practitioners consider how different threats (including natural disasters) may interact at potential release sites and (3) advocate for the incorporation of predictive modelling during the planning stages of translocations, particularly for conservation introductions where no precedent exists for the species' survival at a particular location.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>34252101</pmid><doi>10.1371/journal.pone.0253962</doi><tpages>e0253962</tpages><orcidid>https://orcid.org/0000-0002-1597-7100</orcidid><orcidid>https://orcid.org/0000-0002-1671-3633</orcidid><orcidid>https://orcid.org/0000-0002-8925-0983</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2021-07, Vol.16 (7), p.e0253962-e0253962 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2550612636 |
source | Open Access: PubMed Central; Publicly Available Content Database |
subjects | Analysis Animals Biodiversity Biology and Life Sciences Conservation Cyclones Decision making Disaster relief Divergence Earth Sciences Ecology and Environmental Sciences Endangered & extinct species Ethics Extinction Failure rates Habitat availability Habitats Modelling Natural disasters People and Places Physical Sciences Plant translocation Population Population viability Predators Prediction models Research and Analysis Methods Rodents Sharks Storm surges Threatened species Translocation Wildlife conservation |
title | Two species, one island: Retrospective analysis of threatened fauna translocations with divergent outcomes |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T15%3A26%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Two%20species,%20one%20island:%20Retrospective%20analysis%20of%20threatened%20fauna%20translocations%20with%20divergent%20outcomes&rft.jtitle=PloS%20one&rft.au=Rayner,%20Kelly&rft.date=2021-07-12&rft.volume=16&rft.issue=7&rft.spage=e0253962&rft.epage=e0253962&rft.pages=e0253962-e0253962&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0253962&rft_dat=%3Cgale_plos_%3EA668262877%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c669t-2952eea4c1b3819899e34b72b8993da8af0ccde4b97f6359bd2eae15102507053%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2550612636&rft_id=info:pmid/34252101&rft_galeid=A668262877&rfr_iscdi=true |