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

International audience 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 ti...

Full description

Bibliographic Details
Published in:Movement Ecology
Main Authors: Masello, Juan, Barbosa, Andres, Kato, Akiko, Mattern, Thomas, Medeiros, Renata, Stockdale, Jennifer, Kümmel, Marc, Bustamante, Paco, Belliure, Josabel, Benzal, Jesús, Colominas-Ciuró, Roger, Menéndez-Blázquez, Javier, Griep, Sven, Goesmann, Alexander, Symondson, William, Quillfeldt, Petra
Other Authors: Department of Animal Ecology and Systematics, Justus-Liebig-Universität Gießen (JLU), Departmento de Ecología Evolutiva, Museo Nacional de Ciencias Naturales (MNCN), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), School of Biosciences Cardiff, Cardiff University, Institute for Bioinformatics and Systems Biology, Justus Liebig University Giessen, LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Global Change Ecology and Evolution Research Groupp (GloCEE), Department of Life Sciences, University of Alcalá, Estación Experimental de Zonas Áridas (CSIC), Departamento de Ecología Funcional y Evolutiva, 04120-Almería España., Justus-Liebig-University Gießen, Germany
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-03230770
https://hal.archives-ouvertes.fr/hal-03230770/document
https://hal.archives-ouvertes.fr/hal-03230770/file/Masello%20et%20al%202021%20MOV%20ECOL.pdf
https://doi.org/10.1186/s40462-021-00255-9
id ftccsdartic:oai:HAL:hal-03230770v1
record_format openpolar
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic Antarctica
Breeding success
Chinstrap penguin Pygoscelis antarcticus
Energy costs
Energy landscapes
Gentoo penguin Pygoscelis papua
Physiological condition
Physiological stress
Population trends
Sub-Antarctic
[SDE]Environmental Sciences
spellingShingle Antarctica
Breeding success
Chinstrap penguin Pygoscelis antarcticus
Energy costs
Energy landscapes
Gentoo penguin Pygoscelis papua
Physiological condition
Physiological stress
Population trends
Sub-Antarctic
[SDE]Environmental Sciences
Masello, Juan
Barbosa, Andres
Kato, Akiko
Mattern, Thomas
Medeiros, Renata
Stockdale, Jennifer
Kümmel, Marc
Bustamante, Paco
Belliure, Josabel
Benzal, Jesús
Colominas-Ciuró, Roger
Menéndez-Blázquez, Javier
Griep, Sven
Goesmann, Alexander
Symondson, William
Quillfeldt, Petra
How animals distribute themselves in space: energy landscapes of Antarctic avian predators
topic_facet Antarctica
Breeding success
Chinstrap penguin Pygoscelis antarcticus
Energy costs
Energy landscapes
Gentoo penguin Pygoscelis papua
Physiological condition
Physiological stress
Population trends
Sub-Antarctic
[SDE]Environmental Sciences
description International audience 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 ...
author2 Department of Animal Ecology and Systematics
Justus-Liebig-Universität Gießen (JLU)
Departmento de Ecología Evolutiva
Museo Nacional de Ciencias Naturales (MNCN)
Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC)
Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
School of Biosciences Cardiff
Cardiff University
Institute for Bioinformatics and Systems Biology
Justus Liebig University Giessen
LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs)
Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)
Institut Universitaire de France (IUF)
Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
Global Change Ecology and Evolution Research Groupp (GloCEE), Department of Life Sciences, University of Alcalá
Estación Experimental de Zonas Áridas (CSIC), Departamento de Ecología Funcional y Evolutiva, 04120-Almería España.
Justus-Liebig-University Gießen, Germany
format Article in Journal/Newspaper
author Masello, Juan
Barbosa, Andres
Kato, Akiko
Mattern, Thomas
Medeiros, Renata
Stockdale, Jennifer
Kümmel, Marc
Bustamante, Paco
Belliure, Josabel
Benzal, Jesús
Colominas-Ciuró, Roger
Menéndez-Blázquez, Javier
Griep, Sven
Goesmann, Alexander
Symondson, William
Quillfeldt, Petra
author_facet Masello, Juan
Barbosa, Andres
Kato, Akiko
Mattern, Thomas
Medeiros, Renata
Stockdale, Jennifer
Kümmel, Marc
Bustamante, Paco
Belliure, Josabel
Benzal, Jesús
Colominas-Ciuró, Roger
Menéndez-Blázquez, Javier
Griep, Sven
Goesmann, Alexander
Symondson, William
Quillfeldt, Petra
author_sort Masello, Juan
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 HAL CCSD
publishDate 2021
url https://hal.archives-ouvertes.fr/hal-03230770
https://hal.archives-ouvertes.fr/hal-03230770/document
https://hal.archives-ouvertes.fr/hal-03230770/file/Masello%20et%20al%202021%20MOV%20ECOL.pdf
https://doi.org/10.1186/s40462-021-00255-9
long_lat ENVELOPE(-60.500,-60.500,-62.600,-62.600)
geographic Antarctic
Livingston Island
The Antarctic
geographic_facet Antarctic
Livingston Island
The Antarctic
genre Antarc*
Antarctic
Antarctica
antarcticus
Chinstrap penguin
Gentoo penguin
Livingston Island
Pygoscelis papua
genre_facet Antarc*
Antarctic
Antarctica
antarcticus
Chinstrap penguin
Gentoo penguin
Livingston Island
Pygoscelis papua
op_source EISSN: 2051-3933
Movement Ecology
https://hal.archives-ouvertes.fr/hal-03230770
Movement Ecology, BioMed Central, 2021, 9 (1), ⟨10.1186/s40462-021-00255-9⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-021-00255-9
hal-03230770
https://hal.archives-ouvertes.fr/hal-03230770
https://hal.archives-ouvertes.fr/hal-03230770/document
https://hal.archives-ouvertes.fr/hal-03230770/file/Masello%20et%20al%202021%20MOV%20ECOL.pdf
doi:10.1186/s40462-021-00255-9
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1186/s40462-021-00255-9
container_title Movement Ecology
container_volume 9
container_issue 1
_version_ 1766117727072681984
spelling ftccsdartic:oai:HAL:hal-03230770v1 2023-05-15T13:39:22+02:00 How animals distribute themselves in space: energy landscapes of Antarctic avian predators Masello, Juan Barbosa, Andres Kato, Akiko Mattern, Thomas Medeiros, Renata Stockdale, Jennifer Kümmel, Marc Bustamante, Paco Belliure, Josabel Benzal, Jesús Colominas-Ciuró, Roger Menéndez-Blázquez, Javier Griep, Sven Goesmann, Alexander Symondson, William Quillfeldt, Petra Department of Animal Ecology and Systematics Justus-Liebig-Universität Gießen (JLU) Departmento de Ecología Evolutiva Museo Nacional de Ciencias Naturales (MNCN) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) School of Biosciences Cardiff Cardiff University Institute for Bioinformatics and Systems Biology Justus Liebig University Giessen LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS) Institut Universitaire de France (IUF) Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.) Global Change Ecology and Evolution Research Groupp (GloCEE), Department of Life Sciences, University of Alcalá Estación Experimental de Zonas Áridas (CSIC), Departamento de Ecología Funcional y Evolutiva, 04120-Almería España. Justus-Liebig-University Gießen, Germany 2021-05-17 https://hal.archives-ouvertes.fr/hal-03230770 https://hal.archives-ouvertes.fr/hal-03230770/document https://hal.archives-ouvertes.fr/hal-03230770/file/Masello%20et%20al%202021%20MOV%20ECOL.pdf https://doi.org/10.1186/s40462-021-00255-9 en eng HAL CCSD BioMed Central info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-021-00255-9 hal-03230770 https://hal.archives-ouvertes.fr/hal-03230770 https://hal.archives-ouvertes.fr/hal-03230770/document https://hal.archives-ouvertes.fr/hal-03230770/file/Masello%20et%20al%202021%20MOV%20ECOL.pdf doi:10.1186/s40462-021-00255-9 info:eu-repo/semantics/OpenAccess EISSN: 2051-3933 Movement Ecology https://hal.archives-ouvertes.fr/hal-03230770 Movement Ecology, BioMed Central, 2021, 9 (1), ⟨10.1186/s40462-021-00255-9⟩ Antarctica Breeding success Chinstrap penguin Pygoscelis antarcticus Energy costs Energy landscapes Gentoo penguin Pygoscelis papua Physiological condition Physiological stress Population trends Sub-Antarctic [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.1186/s40462-021-00255-9 2021-10-23T23:17:20Z International audience 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 ... Article in Journal/Newspaper Antarc* Antarctic Antarctica antarcticus Chinstrap penguin Gentoo penguin Livingston Island Pygoscelis papua Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Antarctic Livingston Island ENVELOPE(-60.500,-60.500,-62.600,-62.600) The Antarctic Movement Ecology 9 1