How animals distribute themselves in space: energy landscapes of Antarctic avian predators
Masello J, Barbosa A, Kato A, et al. How animals distribute themselves in space: energy landscapes of Antarctic avian predators. Movement Ecology . 2021;9(1): 24. **Background** Energy landscapes provide an approach to the mechanistic basis of spatial ecology and decision-making in animals. This is...
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ftubbiepub:oai:pub.uni-bielefeld.de:2984250 2024-09-15T17:46:24+00:00 How animals distribute themselves in space: energy landscapes of Antarctic avian predators Masello, Juan Barbosa, Andres Kato, Akiko Mattern, Thomas Medeiros, Renata Stockdale, Jennifer 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 https://pub.uni-bielefeld.de/record/2984250 eng eng Springer Science and Business Media LLC info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-021-00255-9 info:eu-repo/semantics/altIdentifier/issn/2051-3933 https://pub.uni-bielefeld.de/record/2984250 https://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article doc-type:article text 2021 ftubbiepub https://doi.org/10.1186/s40462-021-00255-9 2024-07-09T23:40:29Z Masello J, Barbosa A, Kato A, et al. How animals distribute themselves in space: energy landscapes of Antarctic avian predators. Movement Ecology . 2021;9(1): 24. **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 ... Article in Journal/Newspaper Antarc* Antarctic Antarctica antarcticus Gentoo penguin Livingston Island Pygoscelis papua PUB - Publications at Bielefeld University Movement Ecology 9 1 |
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Open Polar |
collection |
PUB - Publications at Bielefeld University |
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ftubbiepub |
language |
English |
description |
Masello J, Barbosa A, Kato A, et al. How animals distribute themselves in space: energy landscapes of Antarctic avian predators. Movement Ecology . 2021;9(1): 24. **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 ... |
format |
Article in Journal/Newspaper |
author |
Masello, Juan 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 |
spellingShingle |
Masello, Juan 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 |
author_facet |
Masello, Juan 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 |
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 |
Springer Science and Business Media LLC |
publishDate |
2021 |
url |
https://pub.uni-bielefeld.de/record/2984250 |
genre |
Antarc* Antarctic Antarctica antarcticus Gentoo penguin Livingston Island Pygoscelis papua |
genre_facet |
Antarc* Antarctic Antarctica antarcticus Gentoo penguin Livingston Island Pygoscelis papua |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-021-00255-9 info:eu-repo/semantics/altIdentifier/issn/2051-3933 https://pub.uni-bielefeld.de/record/2984250 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1186/s40462-021-00255-9 |
container_title |
Movement Ecology |
container_volume |
9 |
container_issue |
1 |
_version_ |
1810494512938614784 |