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Encyclopedia > Matrix population models

Population models are used in population ecology to model the dynamics of wildlife or human populations. Matrix population models are a specific type of population model that uses matrix algebra. Matrix algebra, in turn, is simply a form of algebraic shorthand for summarizing a larger number of often repetitious and tedious algebraic computations. Population ecology is a major subfield of ecology—one that deals with the dynamics of species populations and how these populations interact with the environment. ... ...


All populations can be modeled by one simple equation:



N(t+1) = N(t) + B - D + I - E,



where:



N(t+1) = abundance at time t+1
N(t) = abundance at time t
B = number of births within the population between Nt and Nt+1
D = number of deaths within the population between Nt and Nt+1
I = number of individuals immigrating into the population between Nt and Nt+1
E = number of individuals emigrating from the population between Nt and Nt+1


This equation is called a BIDE model. Although BIDE models are conceptually simple, reliable estimates of the 5 variables contained therein (Nt, B, D, I and E) are often difficult to obtain.


Usually a researcher attempts to estimate current abundance, Nt, often using some form of mark and recapture technique. Mark and recapture is a method commonly used in ecology to estimate population size and population vital rates (i. ...


Estimates of B might be obtained via a ratio of young to adults soon after the breeding season, Ri.


Number of deaths can be obtained by estimating annual survival probability, usually via mark and recapture methods, then multiplying present abundance and survival rate. Mark and recapture is a method commonly used in ecology to estimate population size and population vital rates (i. ...


Many times immigration and emigration are ignored because they are so difficult to estimate.


For added simplicity it may help to think of time t as the end of the breeding season in year t and to imagine that one is studying a species that has only one discrete breeding season per year.


The BIDE model can then be expressed as:



Nt+1 = Nt_a * Sa + Nt_a * Ri * Si



where:



Nt_a = number of adult females at time t Nt_i = number of immature females at time t Sa = annual survival of adult females from time t to time t+1 Si = annual survival of immature females from time t to time t+1 Ri = ratio of surviving young females at the end of the breeding season per breeding female



In matrix notation this model can be expressed as:

 | Nt+1_i | | SiRi SaRi | | Nt_i | | | = | | | | | Nt+1_a | | Si Sa | | Nt_a | 

Suppose that you are studying a species with a maximum lifespan of 4 years. The following is an age-based Leslie matrix for this species. Each row in the first and third matrices corresponds to animals within a given age range (0-1 years, 1-2 years and 2-3 years). In a Leslie matrix the top row of the middle matrix consists of age-specific fertilities: F1, F2 and F3. Note, that F1 = SiRi in the matrix above. Since this species does not live to be 4 years old the matrix does not contain an S3 term.

 | Nt+1_1 | | F1 F2 F3 | | Nt_1 | | | = | | | | | Nt+1_2 | | S1 0 0 | | Nt_2 | | | = | | | | | Nt+1_3 | | 0 S2 0 | | Nt_3 | 

These models can give rise to interesting cyclical or seemingly chaotic patterns in abundance over time when fertility rates are high.


The terms Fi and Si can be constants or they can be functions of environment, such as habitat or population size. Randomness can also be incorporated into the environmental component.


Reference

  • Caswell, H. 2001. Matrix population models: Construction, analysis and interpretation, 2nd Edition. Sinauer Associates, Sunderland, Massachusetts. ISBN 0-87893-096-5.

  Results from FactBites:
 
Population Index - Volume 55 - Number 3 (2888 words)
This book is concerned with matrix population models and their application to the study of the dynamics of populations when individuals are classified by age, size, or developmental stage.
It is a textbook intended for the practicing population biologist and emphasizes the construction of models, either from actual data or as an expression of hypotheses about the life cycle, mathematical analysis of the models, and the biological interpretation of the results.
She postulates that new kinds of econometric models should be developed that take into account economic conditions, quality of life, and demographic phenomena and that demographic models should be constructed so as to be consistent with economic models.
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