ArticleMovement ecology2021
How animals distribute themselves in space: energy landscapes of Antarctic avian predators.
Article in Movement ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 45 citations in OpenAlex.
- Using next-generation sequencing to unravel the diet composition of Burrowing Parrots over the annual cycle.Die Naturwissenschaften · 2026Article
- Oilbirds performing non-seasonal intra-tropical migrations reduce flight effort compared to individuals that frequently return to the colony roost.Movement ecology · 2026Article
- A dataset on worldwide penguin diet.Scientific data · 2025Article
- Seasonal and inter-annual dynamics in the energy seascapes of a marine top predator.Royal Society open science · 2025Article
- Plunge-diving into dynamic body acceleration and energy expenditure in the Peruvian booby.The Journal of experimental biology · 2024Article
- Article
- Diet composition of wild columbiform birds: next-generation sequencing of plant and metazoan DNA in faecal samples.Die Naturwissenschaften · 2023Article
- So many choices, so little time: Food preference and movement vary with the landscape of fear.Ecology and evolution · 2023Article
- Article
- The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets.Scientific reports · 2022Article
- Mercury Levels in Feathers of Penguins from the Antarctic Peninsula Area: Geographical and Inter-Specific Differences.International journal of environmental research and public health · 2021Article
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Authors and funding
16 authors at 6 institutions in 5 countries.
Funding
Abstract
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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