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On the relationship between \(r\) and \(R_0\) and its role in the bifurcation of stable equilibria of Darwinian matrix models. (English) Zbl 1403.92239

Summary: If the demographic parameters in a matrix model for the dynamics of a structured population are dependent on a parameter \(u\), then the population growth rate \(r=r(u)\) and the net reproductive number \(R_0=R_0(u)\) are functions of \(u\). For a general matrix model, we show that \(r\) and \(R_0\) share critical values and extrema at values \(u=u^*\) for which \(r(u^*)=R_0(u^*)=1\). This allows us to re-interpret, in terms of the more analytically tractable quantity \(R_0\), a fundamental bifurcation theorem for nonlinear Darwinian matrix models from the evolutionary game theory that concerns the destabilization of the extinction equilibrium and creation of positive equilibria. Two illustrations are given: a theoretical study of trade-offs between fertility and survivorship in the evolution of an evolutionarily stable strategies and an application to an experimental study of the evolution to a genetic polymorphism.

MSC:

92D25 Population dynamics (general)
92D15 Problems related to evolution
91A80 Applications of game theory
Full Text: DOI

References:

[1] Caswell, H.2001. Matrix Population Models: Construction, Analysis and Interpretation, 2, Sunderland, MA: Sinauer Associates, Inc. Publishers.
[2] Costantino, R. F., Desharnais, R. A., Cushing, J. M., Dennis, B., Henson, S. M. and King, A. A.2005. The flour beetle Tribolium as an effective tool of discovery. Adv. Ecol. Res., 37: 101-141.
[3] Cushing, J. M.1982. Bifurcation of time periodic solutions of the McKendrick equations with applications to population dynamics. Comput. Math. Appl., 9(3): 459-478. (Reprinted in Advances in Hyperbolic Differential Equations, Vol. 1, edited by M. Witten, Pergamon Press, New York, 1983) · Zbl 0533.92014
[4] Cushing, J. M.1984. Existence and stability of equilibria in age-structured population dynamics. J. Math. Biol., 20(3): 259-276. · Zbl 0553.92014
[5] Cushing, J. M.1985. Equilibria in structured populations. J. Math. Biol., 23(1): 15-39. · Zbl 0591.92018
[6] Cushing, J. M.1986. Periodic McKendrick equations for age-structured population growth. Comput. Math. Appl., 12A(45): 513-526. · Zbl 0598.92013
[7] Cushing, J. M.1998. Periodically forced nonlinear systems of difference equations. J. Differ. Equ. Appl., 3: 547-561. · Zbl 0905.39003
[8] Cushing, J. M.An Introduction to Structured Population Dynamics. CBMS-NSF Regional Conference Series in Applied Mathematics. Vol. 71, Philadelphia: SIAM. · Zbl 0939.92026
[9] Cushing, J. M.2004. The LPA model. Fields Inst. Commun., 43: 29-55. · Zbl 1067.39001
[10] Cushing, J. M.2009. “Matrix models and population dynamics”. In Mathematical Biology, IAS/Park City Mathematics Series Edited by: Lewis, M. A., Chaplain, M. A.J., Keener, J. P. and Maini, P. K.47-150. Providence, RI: American Mathematical Society. · Zbl 1352.92119
[11] Cushing, J. M.2010. A bifurcation theorem for Darwinian matrix models. Nonlinear Stud., 17(1): 1-13. · Zbl 1192.92033
[12] Cushing, J. M. and Yicang, Z.1994. The net reproductive value and stability in matrix population models. Nat. Resour. Model., 8: 297-333.
[13] Cushing, J. M. and Henson, S. M.2001. Global dynamics of some periodically forced, monotone difference equations. J. Differ. Equ. Appl., 7: 859-872. · Zbl 1002.39003
[14] Cushing, J. M., Costantino, R. F., Dennis, B., Desharnais, R. A. and Henson, S. M.2003. Chaos in Ecology: Experimental Nonlinear Dynamics, New York: Academic Press. · Zbl 0976.92022
[15] Dennis, B., Desharnais, R. A., Cushing, J. M. and Costantino, R. F.1995. Nonlinear demographic dynamics: Mathematical, models, statistical methods, and biological experiments. Ecol. Monogr., 65: 261-281.
[16] Desharnais, R. A. and Costantino, R. F.1980. Genetic analysis of a population of Tribolium. VII. stability: Response to genetic and demographic perturbations. Can. J. Genet. Cytol., 22: 577-589.
[17] Li, C.-K. and Schneider, H.2002. Applications of Perron-Frobenius theory to population dynamics. J. Math. Biol., 44: 450-462. · Zbl 1015.91059
[18] Rael, R. C., Costantino, R. F., Cushing, J. M. and Vincent, T. L.2009. Using stage-structured evolutionary game theory to model the experimentally observed evolution of a genetic polymorphism. Evol. Ecol. Res., 11: 141-151.
[19] Robertson, S.2009. “Spatial patterns in stage-structured populations with density dependent dispersal”. University of Arizona. Ph.D. dissertation
[20] Roff, D. A.2002. Life History Evolution, MA: Sinauer Associates Inc.
[21] Thieme, H.2009. Spectral bound and reproduction number for infinite-dimensional population structure and time heterogeneity. SIAM J. Appl. Math., 70(1): 188-211. · Zbl 1191.47089
[22] Vincent, T. L. and Brown, J. S.2005. Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics, Cambridge University Press. · Zbl 1140.91015
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