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University of East Anglia

An Ecosystem Model with Evolutionary Adaptive Trophic Structure

Abstract

dc:description.abstract

We live in an era of rapid change in ecosystems and their environ- ments, that all scales up to the global. The contemporary view is that the interactions between life and the environment are bidirectional: the environment creates life and life creates the environment. However, most ecosystem models have an inbuilt rigidity such that the degrees to which they can mimic structural change in response to environmental cues is very limited. In an effort to capture the plasticity of life we present a new theoretical individual-based ecosystem model in the con- text of previous classical and experimental modelling approaches. The aim is to develop a deeper understanding of the factors determining trophic structure. The individual-based approach permits the inclusion of traits to model heritable attributes. Population-level models imple- ment a mean-�eld approximation that led to the competitive exclustion principle. The addition of a trait to de�ne speci�c feeding strategy permits the model exploration of this problem. Life history theory pre- dicts that reduced juvenile mortality selects for delayed maturity and decreased reproductive effort, and reduced adult mortality will select for the opposite. Through the inclusion of a different trait to represent relative parental investment in offspring, we explore the predictions of life history theory and hypotheses for clutch size.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
University of East Anglia
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Underwood, Philip

Rights

Language dc:language
en

Chain of custody

source
Harvested from
University of East Anglia
Base URL
ueaeprints.uea.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Underwood, Philip. An Ecosystem Model with Evolutionary Adaptive Trophic Structure. doctoral thesis, University of East Anglia, 2013.