A comparison of stable and fluctuating resources with respect to evolutionary adaptation and life-history traits using individual-based modeling and machine learning. (14th December 2018)

• Record Type: Journal Article
• Authors: Scott, Ryan; MacPherson, Brian; Gras, Robin
• Is Part Of: Journal of theoretical biology. Volume 459(2018)
• Page Start: 52
• Page End: 66
• Publication Date: 2018-12-14
• Subjects: Individual-based model -- Simulation -- Predator-prey system -- Plasticity -- Evolution; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2018.09.019
• Languages: English
• ISSNs: 0022-5193

Abstract

Highlights: EcoSim, a predator-prey evolving individual-based model was used. Individuals in stable and fluctuating environments were compared. Underlying neural architecture was sufficient to yield behavioral plasticity. Gene pools in fluctuating environments evolved faster than in stable environments. Behavioral and physical characteristics for detection of resources were most divergent. Abstract: There are three non-mutually-exclusive key strategies evolved by gene pools to cope with fluctuating food resource availability, including evolutionary adaptation, phenotypic plasticity, and migration. We focus primarily on evolutionary adaptation and behavioral plasticity, which is a type of phenotypic plasticity, resulting in life-history changes as ways of dealing with fluctuations in food resource availability. Using EcoSim, a predator-prey individual-based model, we compare individuals with stable food resources with those in environments where there are fluctuating food resources in terms of adaptation through behavioral plasticity and evolution. The purpose of our study is to determine whether evolution and behavioral plasticity truly play a role in adapting to an environment with fluctuating food resources, as well as to determine whether there are specific gene divergences between gene pools in fluctuating food resource environments versus gene pools where food resources are relatively stable. An important result of our study is that individuals in environments that are unstable with respect to food resource availability exhibited significant differences in behaviors versus those in environments with stable food resources. Although behavioral plasticity facilitates a rapid response to unstable food conditions, our study revealed the evolution of perceptual traits such as vision range in reaction to fluctuating food resources, indicating the importance of evolution in adapting to unstable resource environments in the long run. Moreover, using decision trees, we found that there were significant behavioral gene divergences between individuals in environments with fluctuating food resources as opposed to individuals in environments with stable food resources.