Picture of aircraft jet engine

Strathclyde research that powers aerospace engineering...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in aerospace engineering and from the Advanced Space Concepts Laboratory - but also other internationally significant research from within the Department of Mechanical & Aerospace Engineering. Discover why Strathclyde is powering international aerospace research...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Stochastic growth reduces population fluctuations in Daphnia-algal systems

Ananthasubramaniam, Bharath and Nisbet, Roger and Nelson, William and McCauley, Edward and Gurney, William (2011) Stochastic growth reduces population fluctuations in Daphnia-algal systems. Ecology, 92 (2). pp. 362-372. ISSN 0012-9658

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Deterministic, size-structured models are widely used to describe consumer-resource interactions. Such models typically ignore potentially large random variability in juvenile development rates. We present simple representations of this variability and show five approaches to calculating the model parameters for Daphnia pulex interacting with its algal food. Using our parameterized models of growth variability, we investigate the robustness of a recently proposed stabilizing mechanism for Daphnia populations. Growth rate variability increases the range of enrichments over which small amplitude cycles or quasi-cycles occur, thus increasing the plausibility that the underlying mechanism contributes to the prevalence of small amplitude cycles in the field and in experiments. More generally, our approach allows us to relate commonly available information on variance of development times to population stability