Open AccessMODELING PREDATOR EVOLUTION IN INTERACTING SPECIES COMMUNITY
Author(s) -
О. Л. Жданова,
Control Processes,
Г.П. Неверова,
E. Ya. Frisman
Publication year - 2021
Publication title -
informatika i sistemy upravleniâ
Language(s) - English
Resource type - Journals
eISSN - 1814-2419
pISSN - 1814-2400
DOI - 10.22250/isu.2021.68.3-16
Subject(s) - multistability , predator , bistability , predation , bifurcation , stability (learning theory) , statistical physics , control theory (sociology) , period doubling bifurcation , mathematics , nonlinear system , computer science , ecology , physics , biology , artificial intelligence , control (management) , quantum mechanics , machine learning
The paper proposes a model of a predator evolution in a community of two species which interact as a predator and a prey. We assume that the predator's fitness depends on food supplies. The model was examined analytically and numerically. It is shown that the fixed-point stability loss can go according to both, the Neimark-Sacker scenario and the period doubling bifurcation. The model reveals bistability and multistability; therefore, initial conditions determine which of the coexisting dynamic modes will be attracting. It is demonstrated that different dynamic modes can be implemented depending on the prey abundance.