Contributions to nonstationary community theory

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

The study of the role of environmental variation in community dynamics has traditionally assumed that the environment is a stationary stochastic process or a periodic deterministic process. However, the physical environment in nature is nonstationary. Moreover, anthropogenically driven climate change provides a new challenge emphasizing a persistent but frequently ignored problem: how to make predictions about the dynamics of communities when the nonstationarity of the physical environment is recognized. Recent work is providing a path to conclusions with none of the traditional assumptions of environmental stationarity or periodicity. Traditional assumptions about convergence of long-term averages of functions of environmental states can be replaced by assumptions about temporal sums, allowing convergence and persistence of population processes to be demonstrated in general nonstationary environments. These tools are further developed and illustrated here with some simple models of nonstationary community dynamics, including the Beverton-Holt model, the threshold exponential and the lottery model.

Original languageEnglish (US)
Pages (from-to)123-150
Number of pages28
JournalJournal of biological dynamics
Volume13
Issue numbersup1
DOIs
StatePublished - Mar 15 2019

Keywords

  • Beverton-Holt model
  • Nonstationary process
  • climate change
  • lottery model
  • threshold exponential model

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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