The many growth rates and elasticities of populations in random environments.
Despite considerable interest in the dynamics of populations subject to temporally varying environments, alternate population growth rates and their sensitivities remain incompletely understood. For a Markovian environment, we compare and contrast the meanings of the stochastic growth rate (lambdaS), the growth rate of average population (lambdaM), the growth rate for average transition rates (lambdaA), and the growth rate of an aggregate represented by a megamatrix (shown here to equal lambdaM). We distinguish these growth rates by the averages that define them. We illustrate our results using data on an understory shrub in a hurricane-disturbed landscape, employing a range of hurricane frequencies. We demonstrate important differences among growth rates: lambdaS<lambdaM, but lambdaA can be < or > lambdaM. We show that stochastic elasticity, ESij, and megamatrix elasticity, EMij, describe a complex perturbation of both means and variances of rates by the same proportion. Megamatrix elasticities respond slightly and stochastic elasticities respond strongly to changing the frequency of disturbance in the habitat (in our example, the frequency of hurricanes). The elasticity EAij of lambdaA does not predict changes in the other elasticities. Because ES, although commonly utilized, is difficult to interpret, we introduce elasticities with a more direct interpretation: ESmu for perturbations of means and ESsigma for variances. We argue that a fundamental tool for studying selection pressures in varying environments is the response of growth rate to vital rates in all habitat states.
Biological Sciences, Stanford University, Stanford, California 94305, USA. tulja@stanford.edu
Shripad
S
Tuljapurkar
Carol C
CC
Horvitz
John B
JB
Pascarella
D031644:Ardisia / Q000502:physiology*; D004190:Disasters; D004777:Environment; D008954:Models, Biological; D011157:Population Dynamics; D013269:Stochastic Processes; D013997:Time Factors; D014197:Trees / Q000502:physiology