How animals distribute themselves in space: energy landscapes of Antarctic avian predators

BACKGROUND: Energy landscapes provide an approach to the mechanistic basis of spatial ecology and decision-making in animals. This is based on the quantification of the variation in the energy costs of movements through a given environment, as well as how these costs vary in time and for different a...

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Published in:Movement Ecology
Main Authors: Masello, Juan F., Barbosa, Andres, Kato, Akiko, Mattern, Thomas, Medeiros, Renata, Stockdale, Jennifer E., Kümmel, Marc N., Bustamante, Paco, Belliure, Josabel, Benzal, Jesús, Colominas-Ciuró, Roger, Menéndez-Blázquez, Javier, Griep, Sven, Goesmann, Alexander, Symondson, William O. C., Quillfeldt, Petra
Format: Text
Language:English
Published: BioMed Central 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127181/
http://www.ncbi.nlm.nih.gov/pubmed/34001240
https://doi.org/10.1186/s40462-021-00255-9
id ftpubmed:oai:pubmedcentral.nih.gov:8127181
record_format openpolar
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research
spellingShingle Research
Masello, Juan F.
Barbosa, Andres
Kato, Akiko
Mattern, Thomas
Medeiros, Renata
Stockdale, Jennifer E.
Kümmel, Marc N.
Bustamante, Paco
Belliure, Josabel
Benzal, Jesús
Colominas-Ciuró, Roger
Menéndez-Blázquez, Javier
Griep, Sven
Goesmann, Alexander
Symondson, William O. C.
Quillfeldt, Petra
How animals distribute themselves in space: energy landscapes of Antarctic avian predators
topic_facet Research
description BACKGROUND: Energy landscapes provide an approach to the mechanistic basis of spatial ecology and decision-making in animals. This is based on the quantification of the variation in the energy costs of movements through a given environment, as well as how these costs vary in time and for different animal populations. Organisms as diverse as fish, mammals, and birds will move in areas of the energy landscape that result in minimised costs and maximised energy gain. Recently, energy landscapes have been used to link energy gain and variable energy costs of foraging to breeding success, revealing their potential use for understanding demographic changes. METHODS: Using GPS-temperature-depth and tri-axial accelerometer loggers, stable isotope and molecular analyses of the diet, and leucocyte counts, we studied the response of gentoo (Pygoscelis papua) and chinstrap (Pygoscelis antarcticus) penguins to different energy landscapes and resources. We compared species and gentoo penguin populations with contrasting population trends. RESULTS: Between populations, gentoo penguins from Livingston Island (Antarctica), a site with positive population trends, foraged in energy landscape sectors that implied lower foraging costs per energy gained compared with those around New Island (Falkland/Malvinas Islands; sub-Antarctic), a breeding site with fluctuating energy costs of foraging, breeding success and populations. Between species, chinstrap penguins foraged in sectors of the energy landscape with lower foraging costs per bottom time, a proxy for energy gain. They also showed lower physiological stress, as revealed by leucocyte counts, and higher breeding success than gentoo penguins. In terms of diet, we found a flexible foraging ecology in gentoo penguins but a narrow foraging niche for chinstraps. CONCLUSIONS: The lower foraging costs incurred by the gentoo penguins from Livingston, may favour a higher breeding success that would explain the species’ positive population trend in the Antarctic Peninsula. The lower ...
format Text
author Masello, Juan F.
Barbosa, Andres
Kato, Akiko
Mattern, Thomas
Medeiros, Renata
Stockdale, Jennifer E.
Kümmel, Marc N.
Bustamante, Paco
Belliure, Josabel
Benzal, Jesús
Colominas-Ciuró, Roger
Menéndez-Blázquez, Javier
Griep, Sven
Goesmann, Alexander
Symondson, William O. C.
Quillfeldt, Petra
author_facet Masello, Juan F.
Barbosa, Andres
Kato, Akiko
Mattern, Thomas
Medeiros, Renata
Stockdale, Jennifer E.
Kümmel, Marc N.
Bustamante, Paco
Belliure, Josabel
Benzal, Jesús
Colominas-Ciuró, Roger
Menéndez-Blázquez, Javier
Griep, Sven
Goesmann, Alexander
Symondson, William O. C.
Quillfeldt, Petra
author_sort Masello, Juan F.
title How animals distribute themselves in space: energy landscapes of Antarctic avian predators
title_short How animals distribute themselves in space: energy landscapes of Antarctic avian predators
title_full How animals distribute themselves in space: energy landscapes of Antarctic avian predators
title_fullStr How animals distribute themselves in space: energy landscapes of Antarctic avian predators
title_full_unstemmed How animals distribute themselves in space: energy landscapes of Antarctic avian predators
title_sort how animals distribute themselves in space: energy landscapes of antarctic avian predators
publisher BioMed Central
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127181/
http://www.ncbi.nlm.nih.gov/pubmed/34001240
https://doi.org/10.1186/s40462-021-00255-9
long_lat ENVELOPE(-60.500,-60.500,-62.600,-62.600)
geographic Antarctic
Antarctic Peninsula
Livingston Island
The Antarctic
geographic_facet Antarctic
Antarctic Peninsula
Livingston Island
The Antarctic
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
antarcticus
Gentoo penguin
Livingston Island
Pygoscelis papua
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
antarcticus
Gentoo penguin
Livingston Island
Pygoscelis papua
op_source Mov Ecol
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127181/
http://www.ncbi.nlm.nih.gov/pubmed/34001240
http://dx.doi.org/10.1186/s40462-021-00255-9
op_rights © The Author(s) 2021
https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
op_rightsnorm CC0
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CC-BY
op_doi https://doi.org/10.1186/s40462-021-00255-9
container_title Movement Ecology
container_volume 9
container_issue 1
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8127181 2023-05-15T13:43:44+02:00 How animals distribute themselves in space: energy landscapes of Antarctic avian predators Masello, Juan F. Barbosa, Andres Kato, Akiko Mattern, Thomas Medeiros, Renata Stockdale, Jennifer E. Kümmel, Marc N. Bustamante, Paco Belliure, Josabel Benzal, Jesús Colominas-Ciuró, Roger Menéndez-Blázquez, Javier Griep, Sven Goesmann, Alexander Symondson, William O. C. Quillfeldt, Petra 2021-05-17 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127181/ http://www.ncbi.nlm.nih.gov/pubmed/34001240 https://doi.org/10.1186/s40462-021-00255-9 en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127181/ http://www.ncbi.nlm.nih.gov/pubmed/34001240 http://dx.doi.org/10.1186/s40462-021-00255-9 © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. CC0 PDM CC-BY Mov Ecol Research Text 2021 ftpubmed https://doi.org/10.1186/s40462-021-00255-9 2021-05-23T00:46:49Z BACKGROUND: Energy landscapes provide an approach to the mechanistic basis of spatial ecology and decision-making in animals. This is based on the quantification of the variation in the energy costs of movements through a given environment, as well as how these costs vary in time and for different animal populations. Organisms as diverse as fish, mammals, and birds will move in areas of the energy landscape that result in minimised costs and maximised energy gain. Recently, energy landscapes have been used to link energy gain and variable energy costs of foraging to breeding success, revealing their potential use for understanding demographic changes. METHODS: Using GPS-temperature-depth and tri-axial accelerometer loggers, stable isotope and molecular analyses of the diet, and leucocyte counts, we studied the response of gentoo (Pygoscelis papua) and chinstrap (Pygoscelis antarcticus) penguins to different energy landscapes and resources. We compared species and gentoo penguin populations with contrasting population trends. RESULTS: Between populations, gentoo penguins from Livingston Island (Antarctica), a site with positive population trends, foraged in energy landscape sectors that implied lower foraging costs per energy gained compared with those around New Island (Falkland/Malvinas Islands; sub-Antarctic), a breeding site with fluctuating energy costs of foraging, breeding success and populations. Between species, chinstrap penguins foraged in sectors of the energy landscape with lower foraging costs per bottom time, a proxy for energy gain. They also showed lower physiological stress, as revealed by leucocyte counts, and higher breeding success than gentoo penguins. In terms of diet, we found a flexible foraging ecology in gentoo penguins but a narrow foraging niche for chinstraps. CONCLUSIONS: The lower foraging costs incurred by the gentoo penguins from Livingston, may favour a higher breeding success that would explain the species’ positive population trend in the Antarctic Peninsula. The lower ... Text Antarc* Antarctic Antarctic Peninsula Antarctica antarcticus Gentoo penguin Livingston Island Pygoscelis papua PubMed Central (PMC) Antarctic Antarctic Peninsula Livingston Island ENVELOPE(-60.500,-60.500,-62.600,-62.600) The Antarctic Movement Ecology 9 1