Using Predicted Patterns of 3D Prey Distribution to Map King Penguin Foraging Habitat

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...

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Autores principales: Roland Proud, Camille Le Guen, Richard B. Sherley, Akiko Kato, Yan Ropert-Coudert, Norman Ratcliffe, Simon Jarman, Adam Wyness, John P. Y. Arnould, Ryan A. Saunders, Paul G. Fernandes, Lars Boehme, Andrew S. Brierley
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:0511c5807f1549d0b4644b8a2356ceeb2021-12-01T13:38:13ZUsing Predicted Patterns of 3D Prey Distribution to Map King Penguin Foraging Habitat2296-774510.3389/fmars.2021.745200https://doaj.org/article/0511c5807f1549d0b4644b8a2356ceeb2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.745200/fullhttps://doaj.org/toc/2296-7745King 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 South Georgia for which no tracking data are available, and to identify areas of potential ecological significance within the South Georgia and the South Sandwich Islands marine protected area.Roland ProudCamille Le GuenRichard B. SherleyRichard B. SherleyAkiko KatoYan Ropert-CoudertNorman RatcliffeSimon JarmanAdam WynessJohn P. Y. ArnouldRyan A. SaundersPaul G. FernandesLars BoehmeAndrew S. BrierleyFrontiers Media S.A.articleacoustic surveysAptenodytes patagonicusdiving behaviourforaging habitatking penguinprey distributionScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic acoustic surveys
Aptenodytes patagonicus
diving behaviour
foraging habitat
king penguin
prey distribution
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
spellingShingle acoustic surveys
Aptenodytes patagonicus
diving behaviour
foraging habitat
king penguin
prey distribution
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
Roland Proud
Camille Le Guen
Richard B. Sherley
Richard B. Sherley
Akiko Kato
Yan Ropert-Coudert
Norman Ratcliffe
Simon Jarman
Adam Wyness
John P. Y. Arnould
Ryan A. Saunders
Paul G. Fernandes
Lars Boehme
Andrew S. Brierley
Using Predicted Patterns of 3D Prey Distribution to Map King Penguin Foraging Habitat
description 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 South Georgia for which no tracking data are available, and to identify areas of potential ecological significance within the South Georgia and the South Sandwich Islands marine protected area.
format article
author Roland Proud
Camille Le Guen
Richard B. Sherley
Richard B. Sherley
Akiko Kato
Yan Ropert-Coudert
Norman Ratcliffe
Simon Jarman
Adam Wyness
John P. Y. Arnould
Ryan A. Saunders
Paul G. Fernandes
Lars Boehme
Andrew S. Brierley
author_facet Roland Proud
Camille Le Guen
Richard B. Sherley
Richard B. Sherley
Akiko Kato
Yan Ropert-Coudert
Norman Ratcliffe
Simon Jarman
Adam Wyness
John P. Y. Arnould
Ryan A. Saunders
Paul G. Fernandes
Lars Boehme
Andrew S. Brierley
author_sort Roland Proud
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
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/0511c5807f1549d0b4644b8a2356ceeb
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