How animals distribute themselves in space: energy landscapes of Antarctic avian predators
Abstract 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 dif...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-05-01
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| Series: | Movement Ecology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40462-021-00255-9 |
| _version_ | 1818597749157789696 |
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| author | Juan F. Masello Andres Barbosa Akiko Kato Thomas Mattern Renata Medeiros Jennifer E. Stockdale Marc N. Kümmel Paco Bustamante Josabel Belliure Jesús Benzal Roger Colominas-Ciuró Javier Menéndez-Blázquez Sven Griep Alexander Goesmann William O. C. Symondson Petra Quillfeldt |
| author_facet | Juan F. Masello Andres Barbosa Akiko Kato Thomas Mattern Renata Medeiros Jennifer E. Stockdale Marc N. Kümmel Paco Bustamante Josabel Belliure Jesús Benzal Roger Colominas-Ciuró Javier Menéndez-Blázquez Sven Griep Alexander Goesmann William O. C. Symondson Petra Quillfeldt |
| author_sort | Juan F. Masello |
| collection | DOAJ |
| description | Abstract 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 foraging costs in chinstrap penguins may also explain their higher breeding success, compared to gentoos from Antarctica but not their negative population trend. Altogether, our results suggest a link between energy landscapes and breeding success mediated by the physiological condition. |
| first_indexed | 2024-12-16T11:52:45Z |
| format | Article |
| id | doaj.art-323fb4002141494ab84d2115b0278b44 |
| institution | Directory Open Access Journal |
| issn | 2051-3933 |
| language | English |
| last_indexed | 2024-12-16T11:52:45Z |
| publishDate | 2021-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Movement Ecology |
| spelling | doaj.art-323fb4002141494ab84d2115b0278b442022-12-21T22:32:40ZengBMCMovement Ecology2051-39332021-05-019112510.1186/s40462-021-00255-9How animals distribute themselves in space: energy landscapes of Antarctic avian predatorsJuan F. Masello0Andres Barbosa1Akiko Kato2Thomas Mattern3Renata Medeiros4Jennifer E. Stockdale5Marc N. Kümmel6Paco Bustamante7Josabel Belliure8Jesús Benzal9Roger Colominas-Ciuró10Javier Menéndez-Blázquez11Sven Griep12Alexander Goesmann13William O. C. Symondson14Petra Quillfeldt15Department of Animal Ecology & Systematics, Justus Liebig University GiessenDepartment Ecología Evolutiva, Museo Nacional de Ciencias NaturalesCentre d’Etudes Biologiques de Chizé, UMR7372 CNRS-Université La RochelleDepartment of Animal Ecology & Systematics, Justus Liebig University GiessenCardiff School of Biosciences, Cardiff University, The Sir Martin Evans BuildingCardiff School of Biosciences, Cardiff University, The Sir Martin Evans BuildingInstitute for Bioinformatics & Systems Biology, Justus Liebig University GiessenLittoral Environnement et Sociétés (LIENSs), UMR 7266 CNRS-Université de La RochelleGLOCEE - Global Change Ecology and Evolution Group, Universidad de AlcaláEstación Experimental de Zonas Áridas, CSICDepartment Ecología Evolutiva, Museo Nacional de Ciencias NaturalesDepartment Ecología Evolutiva, Museo Nacional de Ciencias NaturalesInstitute for Bioinformatics & Systems Biology, Justus Liebig University GiessenInstitute for Bioinformatics & Systems Biology, Justus Liebig University GiessenCardiff School of Biosciences, Cardiff University, The Sir Martin Evans BuildingDepartment of Animal Ecology & Systematics, Justus Liebig University GiessenAbstract 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 foraging costs in chinstrap penguins may also explain their higher breeding success, compared to gentoos from Antarctica but not their negative population trend. Altogether, our results suggest a link between energy landscapes and breeding success mediated by the physiological condition.https://doi.org/10.1186/s40462-021-00255-9AntarcticaBreeding successChinstrap penguin Pygoscelis antarcticusEnergy costsEnergy landscapesGentoo penguin Pygoscelis papua |
| spellingShingle | Juan F. Masello Andres Barbosa Akiko Kato Thomas Mattern Renata Medeiros Jennifer E. Stockdale Marc N. Kümmel Paco Bustamante Josabel Belliure Jesús Benzal Roger Colominas-Ciuró Javier Menéndez-Blázquez Sven Griep Alexander Goesmann William O. C. Symondson Petra Quillfeldt How animals distribute themselves in space: energy landscapes of Antarctic avian predators Movement Ecology Antarctica Breeding success Chinstrap penguin Pygoscelis antarcticus Energy costs Energy landscapes Gentoo penguin Pygoscelis papua |
| title | 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_short | 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 |
| topic | Antarctica Breeding success Chinstrap penguin Pygoscelis antarcticus Energy costs Energy landscapes Gentoo penguin Pygoscelis papua |
| url | https://doi.org/10.1186/s40462-021-00255-9 |
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