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

  • Masello, Juan F.1
  • Barbosa, Andres2
  • Kato, Akiko3
  • Mattern, Thomas1, 4
  • Medeiros, Renata5, 6
  • Stockdale, Jennifer E.5
  • Kümmel, Marc N.7
  • Bustamante, Paco8, 9
  • Belliure, Josabel10
  • Benzal, Jesús11
  • Colominas-Ciuró, Roger2
  • Menéndez-Blázquez, Javier2
  • Griep, Sven7
  • Goesmann, Alexander7
  • Symondson, William O. C.5
  • Quillfeldt, Petra1
  • 1 Justus Liebig University Giessen, Heinrich-Buff-Ring 26, Giessen, D-35392, Germany , Giessen (Germany)
  • 2 Museo Nacional de Ciencias Naturales, CSIC, C/José Gutiérrez Abascal, 2, Madrid, 28006, Spain , Madrid (Spain)
  • 3 Centre d’Etudes Biologiques de Chizé, UMR7372 CNRS-Université La Rochelle, Villiers en Bois, 79360, France , Villiers en Bois (France)
  • 4 New Zealand Penguin Initiative, Dunedin, 9022, New Zealand , Dunedin (New Zealand)
  • 5 The Sir Martin Evans Building, Museum Av, Cardiff, CF10 3AX, UK , Cardiff (United Kingdom)
  • 6 Cardiff School of Dentistry, Heath Park, Cardiff, CF14 4XY, UK , Cardiff (United Kingdom)
  • 7 Justus Liebig University Giessen, Heinrich-Buff-Ring 58, Giessen, D-35392, Germany , Giessen (Germany)
  • 8 Littoral Environnement et Sociétés (LIENSs), UMR 7266 CNRS-Université de La Rochelle, La Rochelle, 17000, France , La Rochelle (France)
  • 9 Institut Universitaire de France (IUF), 1 rue Descartes, Paris, 75005, France , Paris (France)
  • 10 Universidad de Alcalá, Madrid, Spain , Madrid (Spain)
  • 11 Estación Experimental de Zonas Áridas, CSIC, Almería, Spain , Almería (Spain)
Published Article
Movement Ecology
BioMed Central
Publication Date
May 17, 2021
DOI: 10.1186/s40462-021-00255-9
Springer Nature


BackgroundEnergy 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.MethodsUsing 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.ResultsBetween 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.ConclusionsThe 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.

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