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

Authors :
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
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]
Source :
Movement Ecology, Movement Ecology, BioMed Central, 2021, 9 (1), ⟨10.1186/s40462-021-00255-9⟩, Movement Ecology, Vol 9, Iss 1, Pp 1-25 (2021)
Publication Year :
2020

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. Supplementary Information The online version contains supplementary material available at 10.1186/s40462-021-00255-9.

Details

ISSN :
20513933
Volume :
9
Issue :
1
Database :
OpenAIRE
Journal :
Movement ecology
Accession number :
edsair.pmid.dedup....96e06113df46c3aaa50c50f030f44be3
Full Text :
https://doi.org/10.1186/s40462-021-00255-9⟩