|
|
|
|
LEADER |
02601nam a2200505Ia 4500 |
001 |
10.1016-j.jtbi.2021.110873 |
008 |
220427s2021 CNT 000 0 und d |
020 |
|
|
|a 00225193 (ISSN)
|
245 |
1 |
0 |
|a Coevolution of the reckless prey and the patient predator
|
260 |
|
0 |
|b Academic Press
|c 2021
|
856 |
|
|
|z View Fulltext in Publisher
|u https://doi.org/10.1016/j.jtbi.2021.110873
|
520 |
3 |
|
|a The war of attrition in game theory is a model of a stand-off situation between two opponents where the winner is determined by its persistence. We model a stand-off between a predator and a prey when the prey is hiding and the predator is waiting for the prey to come out from its refuge, or when the two are locked in a situation of mutual threat of injury or even death. The stand-off is resolved when the predator gives up or when the prey tries to escape. Instead of using the asymmetric war of attrition, we embed the stand-off as an integral part of the predator–prey model of Rosenzweig and MacArthur derived from first principles. We apply this model to study the coevolution of the giving-up rates of the prey and the predator, using the adaptive dynamics approach. We find that the long term evolutionary process leads to three qualitatively different scenarios: the predator gives up immediately, while the prey never gives up; the predator never gives up, while the prey adopts any giving-up rate greater than or equal to a given positive threshold value; the predator goes extinct. We observe that some results are the same as for the asymmetric war of attrition, but others are quite different. © 2021 The Author(s)
|
650 |
0 |
4 |
|a Adaptive dynamics
|
650 |
0 |
4 |
|a adult
|
650 |
0 |
4 |
|a animal
|
650 |
0 |
4 |
|a Animals
|
650 |
0 |
4 |
|a article
|
650 |
0 |
4 |
|a Asymmetric war of attrition
|
650 |
0 |
4 |
|a Biological Evolution
|
650 |
0 |
4 |
|a biological model
|
650 |
0 |
4 |
|a coevolution
|
650 |
0 |
4 |
|a coevolution
|
650 |
0 |
4 |
|a evolution
|
650 |
0 |
4 |
|a Evolutionary game theory
|
650 |
0 |
4 |
|a food chain
|
650 |
0 |
4 |
|a Food Chain
|
650 |
0 |
4 |
|a game
|
650 |
0 |
4 |
|a game
|
650 |
0 |
4 |
|a game theory
|
650 |
0 |
4 |
|a Game Theory
|
650 |
0 |
4 |
|a human
|
650 |
0 |
4 |
|a Humans
|
650 |
0 |
4 |
|a modeling
|
650 |
0 |
4 |
|a Models, Biological
|
650 |
0 |
4 |
|a population dynamics
|
650 |
0 |
4 |
|a Population Dynamics
|
650 |
0 |
4 |
|a predation
|
650 |
0 |
4 |
|a predator
|
650 |
0 |
4 |
|a predator-prey interaction
|
650 |
0 |
4 |
|a Predator–prey model
|
650 |
0 |
4 |
|a Predatory Behavior
|
650 |
0 |
4 |
|a Stand-off
|
700 |
1 |
|
|a Berardo, C.
|e author
|
700 |
1 |
|
|a Geritz, S.
|e author
|
773 |
|
|
|t Journal of Theoretical Biology
|