Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem

dc.contributor.advisorMoloney, Coleenen_ZA
dc.contributor.advisorJarre, Astriden_ZA
dc.contributor.advisorClark, Allanen_ZA
dc.contributor.authorHoward, James A Een_ZA
dc.date.accessioned2014-08-13T19:49:11Z
dc.date.available2014-08-13T19:49:11Z
dc.date.issued2007en_ZA
dc.descriptionIncludes bibliographical references (leaves 69-74).en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.description.abstractLong-term ecosystem changes, such as regime shifts, have occurred in several marine ecosystems worldwide. Multivariate statistical methods have been used to detect such changes, but they have to date not been applied to the southern Benguela ecosystem. A weakness of many of the methods is that they require long time series data and do not provide robust results at the end of time series. A new method known as the sequential t-test algorithm for analysing regime shifts (STARS) is applied to a set of biological state variables and environmental and anthropogenic forcing variables in the southern Benguela.en_ZA
dc.identifier.apacitationHoward, J. A. E. (2007). <i>Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Oceanography. Retrieved from http://hdl.handle.net/11427/6481en_ZA
dc.identifier.chicagocitationHoward, James A E. <i>"Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Oceanography, 2007. http://hdl.handle.net/11427/6481en_ZA
dc.identifier.citationHoward, J. 2007. Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Howard, James A E AB - Long-term ecosystem changes, such as regime shifts, have occurred in several marine ecosystems worldwide. Multivariate statistical methods have been used to detect such changes, but they have to date not been applied to the southern Benguela ecosystem. A weakness of many of the methods is that they require long time series data and do not provide robust results at the end of time series. A new method known as the sequential t-test algorithm for analysing regime shifts (STARS) is applied to a set of biological state variables and environmental and anthropogenic forcing variables in the southern Benguela. DA - 2007 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 T1 - Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem TI - Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem UR - http://hdl.handle.net/11427/6481 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/6481
dc.identifier.vancouvercitationHoward JAE. Application of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystem. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Oceanography, 2007 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/6481en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Oceanographyen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherApplied Marine Scienceen_ZA
dc.titleApplication of the sequential t-test algorithm for analysing regime shifts to the southern Benguela ecosystemen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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