Analysis of life table response experiments II. Alternative parameterizations for size- and stage-structured models

Analysis of life table response experiments II. Alternative parameterizations for size- and... Life table response experiments (LTREs) are studies that quantify the population-level effects of environmental factors by measuring a set of vital rates (a life table) under two or more conditions (treatments). The vital rates are incorporated into a demographic model and the population growth rate λ is calculated to summarize the treatment effects at the population level. A previous paper introduced a way to measure the contribution of each vital rate to the overall treatment effect on λ. Here, I generalize this method from age-classified models to models based on size or stage. I present methods for three parameterizations (in terms of the matrix entries, in terms of lower-level vital rates, and in terms of the life cycle graph, including age at maturity) of size- or stage-classified models. In each case, the contributions are calculated from the treatment effects on the vital rates and the sensitivity of λ to changes in the vital rates. Examples are presented of the effects of fire on a tropical grass, of geographical location on killer whales (orcas), and of pollutants on a marine polychaete. In analyzing LTREs, it is not safe to assume that the most obvious treatment effects on the vital rates are the most important. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

Analysis of life table response experiments II. Alternative parameterizations for size- and stage-structured models

Ecological Modelling, Volume 88 (1) – Jul 1, 1996

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Publisher
Elsevier
Copyright
Copyright © 1996 Elsevier Ltd
ISSN
0304-3800
eISSN
1872-7026
DOI
10.1016/0304-3800(95)00070-4
Publisher site
See Article on Publisher Site

Abstract

Life table response experiments (LTREs) are studies that quantify the population-level effects of environmental factors by measuring a set of vital rates (a life table) under two or more conditions (treatments). The vital rates are incorporated into a demographic model and the population growth rate λ is calculated to summarize the treatment effects at the population level. A previous paper introduced a way to measure the contribution of each vital rate to the overall treatment effect on λ. Here, I generalize this method from age-classified models to models based on size or stage. I present methods for three parameterizations (in terms of the matrix entries, in terms of lower-level vital rates, and in terms of the life cycle graph, including age at maturity) of size- or stage-classified models. In each case, the contributions are calculated from the treatment effects on the vital rates and the sensitivity of λ to changes in the vital rates. Examples are presented of the effects of fire on a tropical grass, of geographical location on killer whales (orcas), and of pollutants on a marine polychaete. In analyzing LTREs, it is not safe to assume that the most obvious treatment effects on the vital rates are the most important.

Journal

Ecological ModellingElsevier

Published: Jul 1, 1996

References

  • A comparison of demographic characteristics in a rare and a common species of Eupatorium
    Byers, D.L.; Meagher, T.R.
  • Sensitivity of fitness to macroparameter changes: an analysis of survivorship and individual growth in sea urchin life histories
    Ebert, T.A.

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