Statistical analysis of dynamic patterns in insular biogeography /
| dc.contributor.author | Mark, Carey | |
| dc.contributor.school | University of South Australia. UniSA STEM. | |
| dc.contributor.school | UniSA STEM | |
| dc.date.issued | 2021 | |
| dc.description | 1 ethesis (1-393 pages) : | |
| dc.description | colour illustrations. | |
| dc.description | Includes bibliographical references. | |
| dc.description.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. | |
| dc.description.dissertation | Thesis (PhD(Environmental Science))--University of South Australia, 2021. | |
| dc.identifier.uri | https://hdl.handle.net/11541.2/25519 | |
| dc.language.iso | en | |
| dc.provenance | Copyright 2021 Mark Carey | |
| dc.subject | island biogeography;general dynamic model;ecological modeling | |
| dc.subject.lcsh | Biogeography. | |
| dc.subject.lcsh | Island biogeography. | |
| dc.subject.lcsh | Island ecology. | |
| dc.title | Statistical analysis of dynamic patterns in insular biogeography / | |
| dc.type | thesis | |
| dcterms.accessRights | 506 0#$fstar $2Unrestricted online access | |
| ror.fileinfo | 12233195720001831 13233195710001831 Carey, Mark - Thesis | |
| ror.mmsid | 9916565788901831 |
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