Abstract:
Bistability is a fundamental property of nonlinear systems and is found in many applied and theoretical
studies of biological systems (populations and communities). In the simplest case it is expressed in the
coexistence of diametrically opposed alternative stable equilibrium states of the system, and which of them will
be achieved depends on the initial conditions. Bistability in simple models can lead to quad-stability as models
become more complex, for example, when adding genetic, age and spatial structure. This occurs in different
models from completely different subject area and leads to very interesting, often counterintuitive conclusions.
In this article, we review such situations. The paper deals with bifurcations leading to bi- and quad-stability in
mathematical models of the following biological objects. The first one is the system of two populations coupled
by migration and under the action of natural selection, in which all genetic diversity is associated with a single
diallelic locus with a significant difference in fitness for homo- and heterozygotes. The second is the system of
two limited populations described by the Bazykin model or the Ricker model and coupled by migration. The third
is a population with two age stages and density-dependent regulation of birth rate which is determined either
only by population density, or additionally depends on the genetic structure of adjacent generations. We found
that all these models have similar scenarios for the birth of equilibrium states that correspond to the formation
of spatiotemporal inhomogeneity or to the differentiation by phenotypes of individuals from different age stages.
Such inhomogeneity is a consequence of local bistability and appears as a result of a combination of pitchfork
bifurcation (period doubling) and saddle-node bifurcation.
Keywords:population, dynamics, age structure, migration, genetic divergence, bistability,
bifurcations.