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)...

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Published inThe American naturalist Vol. 162; no. 4; p. 489
Main Authors Tuljapurkar, Shripad, Horvitz, Carol C, Pascarella, John B
Format Journal Article
LanguageEnglish
Published United States 01.10.2003
Subjects
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ISSN0003-0147
DOI10.1086/378648

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Abstract 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.
AbstractList 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.
Author Horvitz, Carol C
Pascarella, John B
Tuljapurkar, Shripad
Author_xml – sequence: 1
  givenname: Shripad
  surname: Tuljapurkar
  fullname: Tuljapurkar, Shripad
  email: tulja@stanford.edu
  organization: Biological Sciences, Stanford University, Stanford, California 94305, USA. tulja@stanford.edu
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  givenname: Carol C
  surname: Horvitz
  fullname: Horvitz, Carol C
– sequence: 3
  givenname: John B
  surname: Pascarella
  fullname: Pascarella, John B
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Snippet Despite considerable interest in the dynamics of populations subject to temporally varying environments, alternate population growth rates and their...
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SubjectTerms Ardisia - physiology
Disasters
Environment
Models, Biological
Population Dynamics
Stochastic Processes
Time Factors
Trees - physiology
Title The many growth rates and elasticities of populations in random environments
URI https://www.ncbi.nlm.nih.gov/pubmed/14582010
Volume 162
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