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Taking the rough with the smooth: foraging for particulate food in continuous time
1Culterty Field Station, Department of Zoology, University of Aberdeen, Newburgh, Ellon, Aberdeenshire AB41 6AA, UK. j.g.ollason@abdn.ac.uk
Theoretical Population Biology
|November 13, 2002
Summary
This study presents a general dynamical model for animal foraging behavior. The model accurately predicts diet selection, patch use, and distribution in various environments without explicit optimization.
Area of Science:
- Ecology
- Behavioral Ecology
- Theoretical Biology
Background:
- Optimal foraging theory (OFT) predicts how animals should forage to maximize fitness.
- Real animal foraging often deviates from strict OFT predictions.
- A general dynamical model is needed to explain these deviations and continuous/discontinuous feeding.
Purpose of the Study:
- To develop and apply a general dynamical model of foraging.
- To predict foraging behavior in diverse environments (e.g., varied food types, patchy resources, regenerating patches).
- To compare model predictions with OFT and observed animal behavior.
Main Methods:
- Extension of Ollason's (1980) general dynamical model of foraging.
- Application of the model to predict foraging in three distinct environmental scenarios.
- Qualitative comparison of model predictions with OFT and empirical observations.
Main Results:
- The model predicts approximately optimal diet selection in environments with mixed food types.
- It predicts optimal patch-time budgets in patchy environments.
- It predicts ideal free distribution in environments with regenerating resources.
Conclusions:
- The dynamical model successfully predicts key foraging behaviors across different environments.
- Model predictions align with observed deviations from OFT in real animals.
- This model offers a general framework for understanding foraging decisions without explicit optimization.