Statistical analysis of dynamic patterns in insular biogeography /
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(Published version)
Date
2021
Authors
Mark, Carey
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thesis
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Abstract
This thesis develops techniques related to statistical modelling of biodiversity in insular environments, specifically in the context of the Theory of Island Biogeography originally developed by MacArthur and Wilson (1963) and later applied to a wide variety of insular systems. We focus on the General Dynamic Model of island biogeography (GDM) which takes volcanic hotspot islands as model systems and extend that theory. The early chapters concern the construction and interpretation of species-area relationships (SARs), culminating in the introduction of a generalized logarithmic function to resolve a historical debate regarding the underlying form of the SAR. The application of this function to ecological modelling more generally is demonstrated. Finally, we explore the modelling of species abundance patterns within the GDM, from both niche based and population based perspectives.
School/Discipline
University of South Australia. UniSA STEM.
UniSA STEM
UniSA STEM
Dissertation Note
Thesis (PhD(Environmental Science))--University of South Australia, 2021.
Provenance
Copyright 2021 Mark Carey
Description
1 ethesis (1-393 pages) :
colour illustrations.
Includes bibliographical references.
colour illustrations.
Includes bibliographical references.
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506 0#$fstar $2Unrestricted online access