Beverton-Holt model

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The Beverton-Holt model is a classic discrete-time population model which gives the expected number (or density) of individuals <math>n_{t+1}</math> in generation <math>t+1</math> as a function of the number of individuals in the previous generation,

<math>n_{t+1} = \frac{R_0 n_t}{1+ \frac{n_t}{k}}. </math> <P> Here <math>R_0</math> is interpreted as the proliferation rate per generation and <math>(R_0-1) k </math> is the carrying capacity of the environment. The Beverton-Holt model was introduced in the context of the fisheries by Beverton & Holt (1957). It is the discrete-time analog of the continuous time logistic equation for population growth created by Pierre Verhulst. Subsequent work has derived the model under other assumptions such as contest competition (Brännström & Sumpter 2005) or within-year resource limited competition (Geritz and Kisdi 2004). The Beverton-Holt model can be generalized to include scramble competition (see the Ricker model, the Hassell model and the Maynard-Smith Slatkin model). It is also possible to include a parameter reflecting the spatial clustering of individuals (see Brännström & Sumpter 2005).


Beverton RJH and Holt SJ (1957). On the Dynamics of Exploited Fish Populations.
Brännström A and Sumpter DJ (2005) The role of competition and clustering in population dynamics. Proc Biol Sci. Oct 7 272(1576):2065-72 [1]
Geritz SA and Kisdi E (2004). On the mechanistic underpinning of discrete-time population models with complex dynamics. J Theor Biol. 2004 May 21;228(2):261-9.
Ricker, WE (1954). Stock and recruitment.Journal of the Fisheries Research Board of Canada.

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