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

dc.contributor.authorMasello, Juan F.
dc.contributor.authorBarbosa, Andres
dc.contributor.authorKato, Akiko
dc.contributor.authorMattern, Thomas
dc.contributor.authorMedeiros, Renata
dc.contributor.authorStockdale, Jennifer E.
dc.contributor.authorKümmel, Marc N.
dc.contributor.authorBustamante, Paco
dc.contributor.authorBelliure, Josabel
dc.contributor.authorBenzal, Jesús
dc.contributor.authorColominas-Ciuró, Roger
dc.contributor.authorMenéndez-Blázquez, Javier
dc.contributor.authorGrieß, Sven
dc.contributor.authorGoesmann, Alexander
dc.contributor.authorSymondson, William O. C.
dc.contributor.authorQuillfeldt, Petra
dc.date.accessioned2021-08-04T10:03:46Z
dc.date.available2021-08-04T10:03:46Z
dc.date.issued2021
dc.description.abstractBackground: 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.de_DE
dc.identifier.urihttps://doi.org/10.1186/s40462-021-00255-9
dc.identifier.urihttps://jlupub.ub.uni-giessen.de//handle/jlupub/162
dc.identifier.urihttp://dx.doi.org/10.22029/jlupub-107
dc.language.isoende_DE
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAntarcticade_DE
dc.subjectbreeding successde_DE
dc.subjectchinstrap penguin Pygoscelis antarcticusde_DE
dc.subjectenergy costsde_DE
dc.subjectenergy landscapesde_DE
dc.subjectgentoo penguin Pygoscelis papuade_DE
dc.subjectphysiological conditionde_DE
dc.subjectphysiological stressde_DE
dc.subjectpopulation trendsde_DE
dc.subjectSub-Antarcticde_DE
dc.subject.ddcddc:570de_DE
dc.titleHow animals distribute themselves in space: energy landscapes of Antarctic avian predatorsde_DE
dc.typearticlede_DE
local.affiliationFB 08 - Biologie und Chemie
local.source.articlenumber24de_DE
local.source.journaltitleMovement Ecologyde_DE
local.source.volume9de_DE

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