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Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt
Morgane Viviant1, Pascal Monestiez2, Christophe Guinet1
1Centre d'Etudes Biologiques de Chizé, Centre National de la Recherche Scientifique, Villiers en Bois, France.
Dive metrics can predict foraging success in Antarctic fur seals. Prey capture attempts were best predicted by specific dive parameters, varying with temporal scales, aiding marine predator population studies.
Area of Science:
- Marine biology
- Animal behavior
- Ecology
Background:
- Assessing marine predator foraging success is crucial for predicting population responses to climate change.
- Dive metrics are often used as proxies for foraging success, but validation is limited.
- Understanding the relationship between dive parameters and foraging success is key.
Purpose of the Study:
- To determine if foraging success in Antarctic fur seals can be accurately predicted using only dive parameters.
- To investigate how different temporal scales influence the predictive power of dive metrics.
- To identify specific behavioral variables that best predict foraging success.
Main Methods:
- 11 Antarctic fur seals were instrumented with Hall sensors or accelerometers.
- Dive profiles and mouth-opening events (prey capture attempts) were recorded.
- Statistical models were used to assess the predictive power of dive parameters at various temporal scales.
Main Results:
- Prey capture attempts were best predicted by descent/ascent rates (dive scale), bottom duration/descent rates (30-min to 2-h scales), and ascent rates/maximum depth (all-night scale).
- Model performance improved with increasing temporal scales.
- Predictive models accurately forecasted foraging intensity in new individuals, despite inter-individual variation.
Conclusions:
- Dive metrics can effectively predict foraging success in Antarctic fur seals.
- The relationship between dive parameters and foraging success is scale-dependent, suggesting adaptive foraging strategies.
- The methodology is broadly applicable to other marine predators for assessing foraging behavior.
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