where

*r*

_{0}is the maximum per capita growth rate and

*K*is the carrying capacity (equilibrium population density). The Ricker equation models the change in population density (size) from one point in time,

*t*, to a future point in time,

*t*+1.

**What does it mean?**

The Ricker model (or Ricker logistic equation) models the discrete time step (discrete generation) dynamics of a population of size

*N*. Similar to the discrete logistic equation,

*K*is the population size at which the growth rate of the population (

*N*

_{t+1}–

*N*) is zero. This does however not mean that birth and deaths are absent, rather that births and deaths are equal and cancel each other out. Per capita growth (

_{t}*N*

_{t+1}/

*N*) is a decreasing function of

_{t}*N*and is maximized (and equal to exp(

_{t}*r*

_{0})) when

*N*= 0.

_{t}**Where does it come from?**

The model was first introduced in Ricker (1954) where it was used to model stock dynamics and recruitment in fisheries. The model is similar to (in terms of formulization and dynamical behavior) and inspired by the logistic growth equation, however, it is formulized in a way such that

*N*

_{t+1}cannot become negative, even if

*N*>>

_{t}*K*. Consequently, it is somewhat more realistic and "safer" to use.

**Importance**

As for the logistic equation the Ricker model is used in theoretical ecology to model all types of population dynamics and recruitment in general, although if first was introduced to model fish populations.

*Mikael Pontarp*

**Literature**

- Ricker, W.E. 1952. Stock and recruitment.
*J. Fish. Res. Board Can.*11:559-623 - Case, T.J. 2000. An illustrated guide to theoretical ecology. Oxford UP
- Mangel, M. 2006. The theoretical biologists toolbox. Cambridge UP
- Brännström, Å. and Sumpter, D.J. 2005. The role of competition and clustering in population dynamics.
*Proc. Biol. Sci.*272(1576): 2065–72 - Geritz, S.A. and Kisdi, E. 2004. On the mechanistic underpinning of discrete-time population models with complex dynamics.
*J. Theor. Biol.*228(2):261–9

It's probably worth it to mention that the Ricker equation is not the exact discrete equivalent of the continuous logistic model. That's the Beverton-Holt model! The Ricker equation is actually an approximation that converges towards the continuous logistic model as the time step become smaller.

ReplyDeleteThank you for pointing that out. In the same sense, the continuous logistic model is an approximation of the Ricker equation. I see no obvious reason to claim that one model or the other is more 'true'. They both demonstrate key concepts of population growth: exponential growth while rare, density dependence, and equilibrium density.

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