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Published on: March 13, 2014
Modelling foraging competition between solitarious and gregarious organisms in increasingly heterogeneous
F Georgiou1, Camille Buhl2, J E F Green3
1School of Mathematical and Physical Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
Density dependent phase polyphenism in locusts shows that gregarious behavior offers a foraging advantage in heterogeneous environments. This benefit is intrinsic to the gregarious/solitarious dynamic, persisting across various model parameters.
Area of Science:
- Ecology
- Evolutionary Biology
- Behavioral Ecology
Background:
- Density dependent phase polyphenism results in distinct phenotypes from a single genotype based on population density.
- Locusts exemplify this, exhibiting solitarious (avoiding others) or gregarious (attracted to others) phases, influenced by food distribution.
- While gregarisation aids predator avoidance, its foraging benefits in varied environments remain unclear.
Purpose of the Study:
- To investigate the impact of gregarisation on foraging efficiency in environments with increasing spatial heterogeneity.
- To model the interplay between phase polyphenism and foraging strategies.
Main Methods:
- Utilized a partial differential equation model to simulate foraging in heterogeneous environments.
- Analyzed steady-state foraging advantage by measuring per-capita food contact.
- Conducted parameter sensitivity analysis to identify influential model parameters.
Main Results:
- Gregarious behavior provides a foraging advantage over solitarious behavior in increasingly food-heterogeneous environments during the aggregation phase.
- This advantage is inherent to the gregarious/solitarious behavioral dynamic.
- The benefit persists irrespective of dispersal rates or interaction strengths, provided the polyphenic behavior is present.
Conclusions:
- Gregarisation enhances foraging success in patchy environments, a key evolutionary advantage.
- The study highlights the ecological significance of phase polyphenism in locusts.
- Understanding these dynamics is crucial for predicting locust behavior and managing outbreaks.
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