Using predicted patterns of 3D prey distribution to map king penguin foraging habitat

Funding: The at-sea data collection and 50% of CLG’s PhD studentship was provided by the Swiss Polar Institute as a grant ‘Unlocking the Secrets of the False Bottom’ to ASB. The School of Biology, University of St Andrews, funded the other 50% of CLG’s studentship. Work at South Georgia was supporte...

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Published in:Frontiers in Marine Science
Main Authors: Proud, Roland, Le Guen, Camille Melanie Marie-Anne, Sherley, Richard, Kato, Akiko, Coudert, Yan-Ropert, Ratcliffe, Norman, Jarman, Simon, Wyness, Adam, Arnould, John P., Saunders, Ryan A., Fernandes, Paul G., Boehme, Lars, Brierley, Andrew Stuart
Other Authors: NERC, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Pelagic Ecology Research Group, University of St Andrews. School of Biology, University of St Andrews. Marine Alliance for Science & Technology Scotland, University of St Andrews. Centre for Research into Ecological & Environmental Modelling, University of St Andrews. Sea Mammal Research Unit
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
DAS
QA
Online Access:http://hdl.handle.net/10023/24416
https://doi.org/10.3389/fmars.2021.745200
id ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/24416
record_format openpolar
institution Open Polar
collection University of St Andrews: Digital Research Repository
op_collection_id ftstandrewserep
language English
topic Acoustic surveys
Aptenodytes patagonicus
Diving behaviour
Foraging habitat
King penguin
Prey distribution
Southern Ocean
South Georgia
QA Mathematics
QH301 Biology
DAS
SDG 14 - Life Below Water
QA
QH301
spellingShingle Acoustic surveys
Aptenodytes patagonicus
Diving behaviour
Foraging habitat
King penguin
Prey distribution
Southern Ocean
South Georgia
QA Mathematics
QH301 Biology
DAS
SDG 14 - Life Below Water
QA
QH301
Proud, Roland
Le Guen, Camille Melanie Marie-Anne
Sherley, Richard
Kato, Akiko
Coudert, Yan-Ropert
Ratcliffe, Norman
Jarman, Simon
Wyness, Adam
Arnould, John P.
Saunders, Ryan A.
Fernandes, Paul G.
Boehme, Lars
Brierley, Andrew Stuart
Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
topic_facet Acoustic surveys
Aptenodytes patagonicus
Diving behaviour
Foraging habitat
King penguin
Prey distribution
Southern Ocean
South Georgia
QA Mathematics
QH301 Biology
DAS
SDG 14 - Life Below Water
QA
QH301
description Funding: The at-sea data collection and 50% of CLG’s PhD studentship was provided by the Swiss Polar Institute as a grant ‘Unlocking the Secrets of the False Bottom’ to ASB. The School of Biology, University of St Andrews, funded the other 50% of CLG’s studentship. Work at South Georgia was supported by Natural Environment Research Council’s Collaborative Antarctic Science Scheme (CASS-129), a grant from the Trans-Antarctic Association Grant to RBS, and a British Antarctic Survey Collaborative Gearing Scheme grant to RBS and ASB. King penguins (Aptenodytes patagonicus) are an iconic Southern Ocean species, but the prey distributions that underpin their at-sea foraging tracks and diving behaviour remain unclear. We conducted simultaneous acoustic surveys off South Georgia and tracking of king penguins breeding ashore there in Austral summer 2017 to gain insight into habitat use and foraging behaviour. Acoustic surveys revealed ubiquitous deep scattering layers (DSLs; acoustically detected layers of fish and other micronekton that inhabit the mesopelagic zone) at c. 500 m and shallower ephemeral fish schools. Based on DNA extracted from penguin faecal samples, these schools were likely comprised of lanternfish (an important component of king penguin diets), icefish (Channichthyidae spp.) and painted noties (Lepidonotothen larseni). Penguins did not dive as deep as DSLs, but their prey-encounter depth-distributions, as revealed by biologging, overlapped at fine scale (10s of m) with depths of acoustically detected fish schools. We used neural networks to predict local scale (10 km) fish echo intensity and depth distribution at penguin dive locations based on environmental correlates, and developed models of habitat use. Habitat modelling revealed that king penguins preferentially foraged at locations predicted to have shallow and dense (high acoustic energy) fish schools associated with shallow and dense DSLs. These associations could be used to predict the distribution of king penguins from other colonies at ...
author2 NERC
University of St Andrews. Scottish Oceans Institute
University of St Andrews. Pelagic Ecology Research Group
University of St Andrews. School of Biology
University of St Andrews. Marine Alliance for Science & Technology Scotland
University of St Andrews. Centre for Research into Ecological & Environmental Modelling
University of St Andrews. Sea Mammal Research Unit
format Article in Journal/Newspaper
author Proud, Roland
Le Guen, Camille Melanie Marie-Anne
Sherley, Richard
Kato, Akiko
Coudert, Yan-Ropert
Ratcliffe, Norman
Jarman, Simon
Wyness, Adam
Arnould, John P.
Saunders, Ryan A.
Fernandes, Paul G.
Boehme, Lars
Brierley, Andrew Stuart
author_facet Proud, Roland
Le Guen, Camille Melanie Marie-Anne
Sherley, Richard
Kato, Akiko
Coudert, Yan-Ropert
Ratcliffe, Norman
Jarman, Simon
Wyness, Adam
Arnould, John P.
Saunders, Ryan A.
Fernandes, Paul G.
Boehme, Lars
Brierley, Andrew Stuart
author_sort Proud, Roland
title Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
title_short Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
title_full Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
title_fullStr Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
title_full_unstemmed Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
title_sort using predicted patterns of 3d prey distribution to map king penguin foraging habitat
publishDate 2021
url http://hdl.handle.net/10023/24416
https://doi.org/10.3389/fmars.2021.745200
geographic Antarctic
Austral
Southern Ocean
geographic_facet Antarctic
Austral
Southern Ocean
genre Antarc*
Antarctic
British Antarctic Survey
Icefish
King Penguins
Southern Ocean
Swiss Polar Institute
genre_facet Antarc*
Antarctic
British Antarctic Survey
Icefish
King Penguins
Southern Ocean
Swiss Polar Institute
op_relation Frontiers in Marine Science
Proud , R , Le Guen , C M M-A , Sherley , R , Kato , A , Coudert , Y-R , Ratcliffe , N , Jarman , S , Wyness , A , Arnould , J P , Saunders , R A , Fernandes , P G , Boehme , L & Brierley , A S 2021 , ' Using predicted patterns of 3D prey distribution to map king penguin foraging habitat ' , Frontiers in Marine Science , vol. 8 , 745200 . https://doi.org/10.3389/fmars.2021.745200
2296-7745
PURE: 276371609
PURE UUID: 5f5525c9-6f1b-489a-b48b-eb0491f72294
ORCID: /0000-0002-6438-6892/work/104252274
ORCID: /0000-0002-8647-5562/work/104252460
Scopus: 85121268094
http://hdl.handle.net/10023/24416
https://doi.org/10.3389/fmars.2021.745200
NE/R012679/1
op_rights Copyright © 2021 Proud, Le Guen, Sherley, Kato, Ropert-Coudert, Ratcliffe, Jarman, Wyness, Arnould, Saunders, Fernandes, Boehme and Brierley. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
op_doi https://doi.org/10.3389/fmars.2021.745200
container_title Frontiers in Marine Science
container_volume 8
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spelling ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/24416 2023-07-02T03:29:58+02:00 Using predicted patterns of 3D prey distribution to map king penguin foraging habitat Proud, Roland Le Guen, Camille Melanie Marie-Anne Sherley, Richard Kato, Akiko Coudert, Yan-Ropert Ratcliffe, Norman Jarman, Simon Wyness, Adam Arnould, John P. Saunders, Ryan A. Fernandes, Paul G. Boehme, Lars Brierley, Andrew Stuart NERC University of St Andrews. Scottish Oceans Institute University of St Andrews. Pelagic Ecology Research Group University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland University of St Andrews. Centre for Research into Ecological & Environmental Modelling University of St Andrews. Sea Mammal Research Unit 2021-11-29T10:30:04Z 18 application/pdf http://hdl.handle.net/10023/24416 https://doi.org/10.3389/fmars.2021.745200 eng eng Frontiers in Marine Science Proud , R , Le Guen , C M M-A , Sherley , R , Kato , A , Coudert , Y-R , Ratcliffe , N , Jarman , S , Wyness , A , Arnould , J P , Saunders , R A , Fernandes , P G , Boehme , L & Brierley , A S 2021 , ' Using predicted patterns of 3D prey distribution to map king penguin foraging habitat ' , Frontiers in Marine Science , vol. 8 , 745200 . https://doi.org/10.3389/fmars.2021.745200 2296-7745 PURE: 276371609 PURE UUID: 5f5525c9-6f1b-489a-b48b-eb0491f72294 ORCID: /0000-0002-6438-6892/work/104252274 ORCID: /0000-0002-8647-5562/work/104252460 Scopus: 85121268094 http://hdl.handle.net/10023/24416 https://doi.org/10.3389/fmars.2021.745200 NE/R012679/1 Copyright © 2021 Proud, Le Guen, Sherley, Kato, Ropert-Coudert, Ratcliffe, Jarman, Wyness, Arnould, Saunders, Fernandes, Boehme and Brierley. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Acoustic surveys Aptenodytes patagonicus Diving behaviour Foraging habitat King penguin Prey distribution Southern Ocean South Georgia QA Mathematics QH301 Biology DAS SDG 14 - Life Below Water QA QH301 Journal article 2021 ftstandrewserep https://doi.org/10.3389/fmars.2021.745200 2023-06-13T18:25:12Z Funding: The at-sea data collection and 50% of CLG’s PhD studentship was provided by the Swiss Polar Institute as a grant ‘Unlocking the Secrets of the False Bottom’ to ASB. The School of Biology, University of St Andrews, funded the other 50% of CLG’s studentship. Work at South Georgia was supported by Natural Environment Research Council’s Collaborative Antarctic Science Scheme (CASS-129), a grant from the Trans-Antarctic Association Grant to RBS, and a British Antarctic Survey Collaborative Gearing Scheme grant to RBS and ASB. King penguins (Aptenodytes patagonicus) are an iconic Southern Ocean species, but the prey distributions that underpin their at-sea foraging tracks and diving behaviour remain unclear. We conducted simultaneous acoustic surveys off South Georgia and tracking of king penguins breeding ashore there in Austral summer 2017 to gain insight into habitat use and foraging behaviour. Acoustic surveys revealed ubiquitous deep scattering layers (DSLs; acoustically detected layers of fish and other micronekton that inhabit the mesopelagic zone) at c. 500 m and shallower ephemeral fish schools. Based on DNA extracted from penguin faecal samples, these schools were likely comprised of lanternfish (an important component of king penguin diets), icefish (Channichthyidae spp.) and painted noties (Lepidonotothen larseni). Penguins did not dive as deep as DSLs, but their prey-encounter depth-distributions, as revealed by biologging, overlapped at fine scale (10s of m) with depths of acoustically detected fish schools. We used neural networks to predict local scale (10 km) fish echo intensity and depth distribution at penguin dive locations based on environmental correlates, and developed models of habitat use. Habitat modelling revealed that king penguins preferentially foraged at locations predicted to have shallow and dense (high acoustic energy) fish schools associated with shallow and dense DSLs. These associations could be used to predict the distribution of king penguins from other colonies at ... Article in Journal/Newspaper Antarc* Antarctic British Antarctic Survey Icefish King Penguins Southern Ocean Swiss Polar Institute University of St Andrews: Digital Research Repository Antarctic Austral Southern Ocean Frontiers in Marine Science 8