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Area of Science:

  • Ecology
  • Animal Behavior
  • Conservation Biology

Background:

  • Animal energy harvesting powers metabolic processes and influences individual fitness and population viability.
  • Food acquisition rates are influenced by environmental factors and food distribution, with individual differences often attributed to varying competencies.
  • Food encounter rates are inherently probabilistic, a factor often overlooked in understanding energy accumulation.

Purpose of the Study:

  • To quantify food intake in diverse free-living vertebrates using animal-attached technology.
  • To investigate the critical role of food encounter probability in inter-individual variability of energy accumulation.
  • To model the impact of this variability on breeding success and population dynamics, particularly for species reliant on rare food sources.

Main Methods:

  • Utilized animal-attached technology to monitor food intake in four distinct species: condors, cheetahs, penguins, and sheep.
  • Developed a model to analyze the relationship between food encounter probability and inter-individual variability in energy acquisition.
  • Tested the model's predictive power using data from wild Magellanic and African penguins to explain population trends.

Main Results:

  • Inter-individual variability in food intake was critically dependent on the probability of food encounter across all studied species.
  • Animals consuming rarer food resources, such as apex predators and scavengers, are more susceptible to breeding failure due to resource variability.
  • The model accurately predicted the stable population of Magellanic penguins versus the declining population of African penguins, linking it to food encounter probabilities.

Conclusions:

  • Food encounter probability is a crucial, often underestimated, factor driving energy accumulation and reproductive success in animals.
  • Models predicting probabilistic ruin can be valuable tools for assessing species' vulnerability under changing environmental conditions.
  • Understanding these dynamics is essential for effective conservation strategies, especially for species facing fluctuating food availability.