An Introduction to Structured Population Dynamics by J. M. Cushing

By J. M. Cushing

Curiosity within the temporal fluctuations of organic populations should be traced to the sunrise of civilization. How can arithmetic be used to achieve an figuring out of inhabitants dynamics? This monograph introduces the idea of dependent inhabitants dynamics and its functions, concentrating on the asymptotic dynamics of deterministic types. This conception bridges the space among the features of person organisms in a inhabitants and the dynamics of the whole inhabitants as an entire.

In this monograph, many purposes that illustrate either the speculation and a large choice of organic concerns are given, besides an interdisciplinary case examine that illustrates the relationship of versions with the knowledge and the experimental documentation of version predictions. the writer additionally discusses using discrete and non-stop types and offers a basic modeling idea for dependent inhabitants dynamics.

Cushing starts with an seen aspect: contributors in organic populations range with reference to their actual and behavioral features and for that reason within the method they have interaction with their surroundings. learning this element successfully calls for using dependent versions. particular examples pointed out all through help the dear use of dependent versions. incorporated between those are vital functions selected to demonstrate either the mathematical theories and organic difficulties that experience bought recognition in contemporary literature.

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An Introduction to Structured Population Dynamics

Curiosity within the temporal fluctuations of organic populations may be traced to the sunrise of civilization. How can arithmetic be used to achieve an knowing of inhabitants dynamics? This monograph introduces the idea of dependent inhabitants dynamics and its functions, targeting the asymptotic dynamics of deterministic types.

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0} implies that lim inf^+oo p(t) > r/. The proof of the following theorem appears in Appendix C. 1. 21). Assume that the inherent projection matrix P(0) is irreducible, primitive, and hyperbolic, and let r > 0 be its strictly dominant eigenvalue. (a) // r < 1, then x = 0 is (locally asymptotically) stable. 22) holds, then lim t _ +00 p(<) = 0 for all x(0) e R%. (b) If r > 1, then x = 0 is unstable. 20) is uniformly persistent with respect to the extinction equilibrium x = 0. For a "weak persistence" result see [8].

One circumstance in which a saddle-node bifurcation occurs in population models is when the bifurcation at (A,x) = (A 0 ,0) is unstable (due, for example, to an Allee effect), but the continuum C+ "turns around" at a saddle-node bifurcation to create stable equilibria. See Fig. 4. 3 is a specific example. Finally, in a neighborhood of pitchfork bifurcation point (Xcr,xcr). three equilibria occur on one side of Acr while only one equilibrium occurs on the other side. Pitchfork bifurcations have rarely occurred in population models.

Thus, x and x* are dependent. In fact, they must be identical since they have the same weighted total population size. )• Moreover, for each n < 1, n 6 a (C + ), there exists exactly one positive equilibrium x. A positive derivative v'(p) > 0 can arise from an "Allee" effect in which some fertility and/or transition rates increase with increased total population size. Allee effects are usually postulated to hold at low population densities, while the usual deleterious density effects are assumed to hold at high population densities.

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