Abstract
Despite that outbreaks had been observed for hundreds of years for many populations, it took until the 1920s before the first mechanisms that did not involve human interference were suggested. Just a few mechanisms were included in the first models and the question whether the inclusion of other, very plausible, mechanisms could alter the predictions remained.
In this chapter, we follow the development of models that have been proposed to explain oscillatory population dynamics from the early models suggested by Lotka (1925) and Volterra (1926) until global dynamical questions that are still open for models incorporating explicit resource dynamics, like the chemostat, cf Kuang (1989).
References
Ardito A, Ricciardi P (1995) Lyapunov functions for a generalized Gause-type model. J Math Biol 33:816–828
Brauer F, Castillo-Chávez C (2001) Mathematical models in population biology and epidemiology, volume 40 of Texts in applied mathematics. Springer, New York
Duff GFD (1953) Limit cycles and rotated vector fields. Ann Math 57(1):15–31
Elton CS (1930) Animal ecology and evolution. Clarendon Press, Oxford
Elton CS (1942) Voles, mice and lemmings. Clarendon Press, Oxford
Gause GF (1934) The struggle for existence. The Williams & Wilkins, Baltimore
González-Olivares E, Rojas-Palma A (2011) Multiple limit cycles in a Gause type predator-prey model with Holling type III functional response and Allee effect on prey. Bull Math Biol 73:1378–1397
Guckenheimer J, Holmes P (1983) Nonlinear oscillations, dynamical systems, and bifurcations of vector fields. Springer, Berlin
Hethcote HW (2000) The mathematics of infectious diseases. SIAM Rev 42(4):599–653
Hewitt CG (1921) The conservation of the wild life of Canada. Charles Scribner’s Sons, New York
Hirsch MW, Smale S, Devaney RL (2013) Differential equations, dynamical systems, and an introduction to chaos. Academic, Oxford
Hofbauer J, Sigmund K (1988) The theory of evolution and dynamical systems. Cambridge University Press, Cambridge
Hofbauer J, Sigmund K (1998) Evolutionary games and population dynamics. Cambridge University Press, Cambridge
Holling CS (1959) Some characteristics of simple types of predation and parasitism. Can Entomol 91(7):385–398
Kooi BW, Boer MP, Kooijman SALM (1998) On the use of the logistic equation in models of food chains. Bull Math Biol 60:231–246
Kuang Y (1988) Nonuniqueness of limit cycles of Gause-type predator-prey systems. Appl Anal 29:269–287
Kuang Y (1989) Limit cycles in a chemostat related model. SIAM J Appl Math 49(6):1759–1767
Kuang Y, Freedman HI (1988) Uniqueness of limit cycles in Gause-type models of predator–prey systems. Math Biosci 88:67–84
LaSalle JP (1960) Some extensions of Lyapunovs second method. IRE Trans Circuit Theory CT-7:520–527
Lindström T (1993) Qualitative analysis of a predator-prey system with limit cycles. J Math Biol 31:541–561
Lindström T, Cheng Y (2015) Uniqueness of limit cycles for a limiting case of the chemostat: does it justify the use of logistic growth rates. Electron J Qual Theory Differ Equ 47:1–14. http://www.math.u-szeged.hu/ejqtde
Lindström T, Cheng Y (2016) A Rosenzweig–MacArthur (1963) criterion for the chemostat. Sci World J 2016:1–6. https://doi.org/10.1155/2016/5626980
Lotka AJ (1925) Elements of physical biology. Williams and Wilkins, Baltimore
Metz JAJ, Diekmann O (1986) The dynamics of physiologically structured populations. Springer, Berlin
Nisbet RM, Gurney WSC (1982) Modelling fluctuating populations. The Blackburn Press, Caldwell
Rosenzweig ML (1973) Exploitation in three throphic levels. Am Nat 107(954):275–294
Rosenzweig ML, MacArthur RH (1963) Graphical representation and stability conditions of predator–prey interactions. Am Nat 97:209–223
Smith HL, Waltman P (1995) The theory of the chemostat: dynamics of microbial competition. Cambridge University Press, Cambridge
Volterra V (1926) Variazioni e fluttuazioni del numero d’individui in specie animali conviventi. Mem R Accad Natl Lincei 6(2):31–113
Wiggins S (2003) Introduction to applied nonlinear dynamical systems and chaos, 2nd edn. Springer, New York
Ye Y-Q et al (1986) Theory of limit cycles, 2nd edn. American Mathematical Society, Providence
Zhang Z-f (1986) Proof of the uniqueness theorem of limit cycles of generalized Liénard equations. Appl Anal 29:63–76
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Lindström, T. (2019). Mathematics and Recurrent Population Outbreaks. In: Sriraman, B. (eds) Handbook of the Mathematics of the Arts and Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-70658-0_33-1
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DOI: https://doi.org/10.1007/978-3-319-70658-0_33-1
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