Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/22417
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dc.contributor.authorTyre, Andrew J. (Andrew John)en
dc.date.issued1999en
dc.identifier.urihttp://hdl.handle.net/2440/22417-
dc.descriptionBibliography: leaves 132-153.en
dc.descriptionviii, 153 leaves : ill. ; 30 cm.en
dc.description.abstractSpatially explicit models and computer intensive analysis were employed to explore how processes acting at the individual level scale up to population dynamics when processes are variable in space as well as the consequences of sampling spatially complex variability for drawing conclusions from limited ecological data. Dispersal and variation in marsupial mortality and development in relation to habitat selection and quality were studied, while evaluating spatially explicit models. The study of dynamics models of tick populations on sleepy lizards considered the effect of spatial and temporal variability, and demonstrated that counting ticks is a poor indicator of tick abundance. The "virtual ecologist" model is a useful method for linking the output of spatially explicit population models to reality, and will be a valuable approach for improving the design of ecological field research on spatially complex landscapes.en
dc.format.extent183784 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.subject.lcshSpatial ecology Mathematical models.en
dc.subject.lcshInsect populations Mathematical models.en
dc.subject.lcshAnimal populations Mathematical models.en
dc.subject.lcshPopulation biology Mathematical models.en
dc.subject.lcshEcology Mathematical models.en
dc.titleUnderstanding spatial variation in population dynamics : enter the virtual ecologist / Andrew J. Tyre.en
dc.typeThesisen
dc.contributor.schoolDept. of Environmental Science and Managementen
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals-
dc.description.dissertationThesis (Ph.D.)--University of Adelaide, Dept. of Environmental Science and Management, 1999?en
Appears in Collections:Research Theses

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