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

Masello, Juan, Barbosa, Andres, Kato, Akiko, Mattern, Thomas, Medeiros Mirra, Renata, Stockdale, Jennifer, Kümmel, Marc N., Bustamante, Paco, Belliure, Josabel, Benzal, Jesús, Colominas-Ciuró, Roger and Menéndez-Blázquez, Javier 2021. How animals distribute themselves in space: energy landscapes of Antarctic avian predators. Movement Ecology 9 , 24. 10.1186/s40462-021-00255-9

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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. Keywords: Antarctica, Breeding success, Chinstrap penguin Pygoscelis antarcticus, Energy costs, Energy landscapes, Gentoo penguin Pygoscelis papua, Physiological condition, Physiological stress, Population trends, Sub-Antarctic

Item Type: Article
Date Type: Publication
Status: Published
Schools: Dentistry
Biosciences
Subjects: Q Science > Q Science (General)
Q Science > QH Natural history
Q Science > QH Natural history > QH301 Biology
Q Science > QL Zoology
ISSN: 2051-3933
Related URLs:
Date of First Compliant Deposit: 19 May 2021
Date of Acceptance: 17 March 2021
Last Modified: 19 May 2021 14:00
URI: http://orca.cardiff.ac.uk/id/eprint/141417

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