Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling
Reliably estimating population parameters for highly secretive or rare animals is challenging. We report on the status of the two largest remaining populations of the Critically Endangered Bermuda skink Plestiodon longirostris, using a robust design capture–mark–recapture analysis. Skinks were tagge...
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Cambridge University Press
2019
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ftkentuniv:oai:kar.kent.ac.uk:77157 2023-05-15T18:23:36+02:00 Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling Turner, Helena Griffiths, Richard A. Outerbridge, Mark E. Garcia, Gerardo 2019-09-27 application/pdf https://kar.kent.ac.uk/77157/ https://kar.kent.ac.uk/77157/1/Turner%20et%20al%20%282019%29%20Oryx.pdf https://doi.org/10.1017/S0030605318001485 en eng Cambridge University Press https://kar.kent.ac.uk/77157/1/Turner%20et%20al%20%282019%29%20Oryx.pdf Turner, Helena, Griffiths, Richard A., Outerbridge, Mark E., Garcia, Gerardo (2019) Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling. Oryx, . ISSN 0030-6053. E-ISSN 1365-3008. (doi:10.1017/S0030605318001485 <https://doi.org/10.1017/S0030605318001485>) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:77157 </77157>) cc_by QH75 Conservation (Biology) Article PeerReviewed 2019 ftkentuniv https://doi.org/10.1017/S0030605318001485 2023-03-12T19:16:22Z Reliably estimating population parameters for highly secretive or rare animals is challenging. We report on the status of the two largest remaining populations of the Critically Endangered Bermuda skink Plestiodon longirostris, using a robust design capture–mark–recapture analysis. Skinks were tagged with passive integrated transponders on two islands and captured on 15 sampling occasions per year over 3 years. The models provided precise estimates of abundance, capture and survival probabilities and temporary emigration. We estimated skink abundance to be 547 ± SE 63.5 on Southampton Island and 277 ± SE 28.4 on Castle Island. The populations do not appear to be stable and fluctuated at both sites over the 3-year period. Although the populations on these two islands appear viable, the Bermuda skink faces population fluctuations and remains threatened by increasing anthropogenic activities, invasive species and habitat loss. We recommend these two populations for continued monitoring and conservation efforts. Article in Journal/Newspaper Southampton Island University of Kent: KAR - Kent Academic Repository Southampton Island ENVELOPE(-84.501,-84.501,64.463,64.463) Oryx 55 1 81 88 |
institution |
Open Polar |
collection |
University of Kent: KAR - Kent Academic Repository |
op_collection_id |
ftkentuniv |
language |
English |
topic |
QH75 Conservation (Biology) |
spellingShingle |
QH75 Conservation (Biology) Turner, Helena Griffiths, Richard A. Outerbridge, Mark E. Garcia, Gerardo Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling |
topic_facet |
QH75 Conservation (Biology) |
description |
Reliably estimating population parameters for highly secretive or rare animals is challenging. We report on the status of the two largest remaining populations of the Critically Endangered Bermuda skink Plestiodon longirostris, using a robust design capture–mark–recapture analysis. Skinks were tagged with passive integrated transponders on two islands and captured on 15 sampling occasions per year over 3 years. The models provided precise estimates of abundance, capture and survival probabilities and temporary emigration. We estimated skink abundance to be 547 ± SE 63.5 on Southampton Island and 277 ± SE 28.4 on Castle Island. The populations do not appear to be stable and fluctuated at both sites over the 3-year period. Although the populations on these two islands appear viable, the Bermuda skink faces population fluctuations and remains threatened by increasing anthropogenic activities, invasive species and habitat loss. We recommend these two populations for continued monitoring and conservation efforts. |
format |
Article in Journal/Newspaper |
author |
Turner, Helena Griffiths, Richard A. Outerbridge, Mark E. Garcia, Gerardo |
author_facet |
Turner, Helena Griffiths, Richard A. Outerbridge, Mark E. Garcia, Gerardo |
author_sort |
Turner, Helena |
title |
Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling |
title_short |
Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling |
title_full |
Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling |
title_fullStr |
Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling |
title_full_unstemmed |
Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling |
title_sort |
estimating population parameters for the critically endangered bermuda skink using robust design capture–mark–recapture modelling |
publisher |
Cambridge University Press |
publishDate |
2019 |
url |
https://kar.kent.ac.uk/77157/ https://kar.kent.ac.uk/77157/1/Turner%20et%20al%20%282019%29%20Oryx.pdf https://doi.org/10.1017/S0030605318001485 |
long_lat |
ENVELOPE(-84.501,-84.501,64.463,64.463) |
geographic |
Southampton Island |
geographic_facet |
Southampton Island |
genre |
Southampton Island |
genre_facet |
Southampton Island |
op_relation |
https://kar.kent.ac.uk/77157/1/Turner%20et%20al%20%282019%29%20Oryx.pdf Turner, Helena, Griffiths, Richard A., Outerbridge, Mark E., Garcia, Gerardo (2019) Estimating population parameters for the Critically Endangered Bermuda skink using robust design capture–mark–recapture modelling. Oryx, . ISSN 0030-6053. E-ISSN 1365-3008. (doi:10.1017/S0030605318001485 <https://doi.org/10.1017/S0030605318001485>) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:77157 </77157>) |
op_rights |
cc_by |
op_doi |
https://doi.org/10.1017/S0030605318001485 |
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Oryx |
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55 |
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1 |
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81 |
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88 |
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