Open AccessMODELING PREDATOR EVOLUTION IN INTERACTING SPECIES COMMUNITY
Author(s) -
О. Л. Жданова,
Г.П. Неверова,
E. Ya. Frisman,
E.Ya.Frisman
Publication year - 2021
Publication title -
informatika i sistemy upravleniya
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 , period doubling bifurcation , mathematics , control theory (sociology) , ecology , nonlinear system , computer science , physics , biology , artificial intelligence , machine learning , control (management) , quantum mechanics
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom