Predator–prey population dynamics may induce the evolutionary dynamics of behavioral unpredictability

Biosystems ◽  
2021 ◽  
pp. 104582
Author(s):  
Toshinori Okuyama
2018 ◽  
Vol 18 (03) ◽  
pp. 255-261
Author(s):  
Ali Al-Qahtani ◽  
Aesha Almoeed ◽  
Bayan Najmi ◽  
Shaban Aly

2020 ◽  
Vol 294 ◽  
pp. 113471
Author(s):  
Sophia G. Lavergne ◽  
Michael J.L. Peers ◽  
Gabriela Mastromonaco ◽  
Yasmine N. Majchrzak ◽  
Anandu Nair ◽  
...  

2013 ◽  
Vol 67 (1) ◽  
pp. 167-176 ◽  
Author(s):  
Hansol Im ◽  
Dasol Kim ◽  
Cheol-Min Ghim ◽  
Robert J. Mitchell

Oikos ◽  
1999 ◽  
Vol 87 (3) ◽  
pp. 603 ◽  
Author(s):  
R. G. Lalonde ◽  
R. R. McGregor ◽  
D. R. Gillespie ◽  
B. D. Roitberg

2010 ◽  
Vol 26 (1) ◽  
pp. 33-45 ◽  
Author(s):  
Jacopo A. Baggio ◽  
Kehinde Salau ◽  
Marco A. Janssen ◽  
Michael L. Schoon ◽  
Örjan Bodin

2019 ◽  
pp. 307-333
Author(s):  
Gary G. Mittelbach ◽  
Brian J. McGill

Ecology and evolution go hand in hand. However, since evolution occurs over relatively long time scales, ecologists had long thought it unlikely that evolutionary events could affect population dynamics or species interactions in ecological time. This view is changing. Today, there are multiple areas of research examining how evolutionary processes feedback directly on ecology. For example, eco-evolutionary dynamics focus on the cyclical interaction between ecology and adaptive evolution, such that changes in ecological interactions drive selection on organismal traits that, in turn, alter the outcome of ecological interactions. Striking examples of eco-evolutionary feedbacks are found in predator–prey interactions of laboratory populations. However, less is known about eco-evolutionary feedbacks in nature. Evolutionary rescue describes a process whereby rapid adaptation may prevent extinction in a changing environment. Other topics covered in this chapter are community phylogenetics and the evolution of regional species pools.


2011 ◽  
Vol 80 (6) ◽  
pp. 1236-1245 ◽  
Author(s):  
John A. Vucetich ◽  
Mark Hebblewhite ◽  
Douglas W. Smith ◽  
Rolf O. Peterson

Games ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 72
Author(s):  
Anuraag Bukkuri ◽  
Joel S. Brown

Classical evolutionary game theory allows one to analyze the population dynamics of interacting individuals playing different strategies (broadly defined) in a population. To expand the scope of this framework to allow us to examine the evolution of these individuals’ strategies over time, we present the idea of a fitness-generating (G) function. Under this model, we can simultaneously consider population (ecological) and strategy (evolutionary) dynamics. In this paper, we briefly outline the differences between game theory and classical evolutionary game theory. We then introduce the G function framework, deriving the model from fundamental biological principles. We introduce the concept of a G-function species, explain the process of modeling with G functions, and define the conditions for evolutionary stable strategies (ESS). We conclude by presenting expository examples of G function model construction and simulations in the context of predator–prey dynamics and the evolution of drug resistance in cancer.


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