Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing

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dc.contributor.advisorHewitson, Bruceen_ZA
dc.contributor.advisorMidgley, Guyen_ZA
dc.contributor.authorDrew, Gillianen_ZA
dc.date.accessioned2014-07-31T08:04:33Z
dc.date.available2014-07-31T08:04:33Z
dc.date.issued2004en_ZA
dc.descriptionIncludes bibliographical references.
dc.description.abstractThe importance of vegetation feedbacks to the atmosphere has been highlighted in many recent research studies. The influence of climate on vegetation has long been established, and climate has regularly been used to predict vegetation distribution. However, the influence of vegetation on climate is a relatively new research area. The need to understand vegetation-atmosphere interactions is growing in light of the increasing atmospheric carbon dioxide concentrations and the change in climate associated with these increases. These linkages are analysed over southern Africa with the use of sophisticated computer models of the climate and vegetation. The models are used to explore some of the vegetation-atmosphere interactions for this region, but without attempting a definitive study of either system.en_ZA
dc.identifier.apacitationDrew, G. (2004). <i>Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Environmental and Geographical Science. Retrieved from http://hdl.handle.net/11427/4846en_ZA
dc.identifier.chicagocitationDrew, Gillian. <i>"Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Environmental and Geographical Science, 2004. http://hdl.handle.net/11427/4846en_ZA
dc.identifier.citationDrew, G. 2004. Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Drew, Gillian AB - The importance of vegetation feedbacks to the atmosphere has been highlighted in many recent research studies. The influence of climate on vegetation has long been established, and climate has regularly been used to predict vegetation distribution. However, the influence of vegetation on climate is a relatively new research area. The need to understand vegetation-atmosphere interactions is growing in light of the increasing atmospheric carbon dioxide concentrations and the change in climate associated with these increases. These linkages are analysed over southern Africa with the use of sophisticated computer models of the climate and vegetation. The models are used to explore some of the vegetation-atmosphere interactions for this region, but without attempting a definitive study of either system. DA - 2004 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2004 T1 - Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing TI - Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing UR - http://hdl.handle.net/11427/4846 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/4846
dc.identifier.vancouvercitationDrew G. Modelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcing. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Environmental and Geographical Science, 2004 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/4846en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Environmental and Geographical Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEnvironmental and Geographical Scienceen_ZA
dc.titleModelling vegetation dynamics and their feedbacks over Southern Africa in response to climate change forcingen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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