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Published on: November 20, 2017
How animals distribute themselves in space: variable energy landscapes
Juan F Masello1, Akiko Kato2, Julia Sommerfeld1
1Department of Animal Ecology & Systematics, Justus Liebig University Giessen, Heinrich-Buff-Ring 26, D-35392 Giessen, Germany.
Gentoo penguins adjust their foraging behavior based on changing energy landscapes, prioritizing areas that minimize energetic costs for improved breeding success. This study highlights the dynamic nature of foraging and its link to fitness.
Area of Science:
- Animal behavior
- Ecology
- Bioenergetics
Background:
- Foraging efficiency is critical for animal fitness, influencing brood-rearing, body condition, and predator avoidance.
- Energetic costs of movement, derived from habitat features and variable conditions, can be mapped into "energy landscapes."
- This study focused on energy landscapes in Gentoo Penguins (Pygoscelis papua) at two colonies in the Falkland/Malvinas Islands.
Purpose of the Study:
- To investigate and characterize the energy landscapes utilized by Gentoo Penguins.
- To understand how variations in energy landscapes influence foraging behavior and breeding success.
- To explore the relationship between energy gain, foraging costs, and fitness outcomes.
Main Methods:
- Utilized accelerometers and GPS loggers to track penguin movements and habitat use.
- Analyzed dive parameters (depth, pelagic vs. benthic) and correlated them with energy expenditure.
- Assessed food availability using carbon and nitrogen stable isotope values and isotopic niche metrics.
Main Results:
- Marine areas used by penguins, dive patterns, and proportions of dive types varied significantly between years and colonies.
- Energy landscapes differed annually, correlating with changes in food availability, as indicated by isotopic data.
- The second year featured lower foraging costs per energy gain, coinciding with higher breeding success.
Conclusions:
- Energy landscapes are dynamic and vary over time, influencing seabird foraging decisions.
- Penguins actively select foraging areas within energy landscapes that minimize energetic costs.
- Energy landscapes effectively link energy gain, variable foraging costs, and breeding success, supporting their role in animal foraging behavior.
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