Studying the Dynamics of Structured Population-models - a Versatile Technique and Its Application to Daphnia

AM DEROOS, O DIEKMANN, JAJ METZ

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We introduce a versatile model formulation, called the escalator boxcar train, that can be used to study the dynamics of populations structured by age, size, or any other physiological trait. Spanning the entire spectrum between the classical, age-structured, Leslie matrix models and continuous-time, physiologically structured population models, it combines the computational case of the matrix models with the flexibility of the continuous-time models: it allows the population dynamics to depend on an arbitrary number of individual characteristics and can account for nonlinear interactions of the population with its (fluctuating) environment, for density dependence in individual behavior, and for a continuous reproduction process. Application of the technique to a model for the dynamics of a Daphnia population reveals that a food-dependent maturation delay induces a very specific type of population cycle, in which the demography of the population plays a major role. The influence of "growth-curve plasticity," that is, the change in size at each age with a change in food density, on individual feeding behavior (at higher food densities individuals are larger and hence eat more) is a potential mechanism to stabilize the dynamics. The influence of growth-curve plasticity on reproduction (primarily the increase in maturation delay with a decrease in food density) greatly destabilizes the system.
Original languageEnglish
Pages (from-to)123-147
Number of pages25
JournalAmerican Naturalist
Volume139
Issue number1
DOIs
Publication statusPublished - Jan 1992
Externally publishedYes

Keywords

  • Growth
  • Reproduction
  • Individuals
  • Age

Fingerprint

Dive into the research topics of 'Studying the Dynamics of Structured Population-models - a Versatile Technique and Its Application to Daphnia'. Together they form a unique fingerprint.

Cite this