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

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.

Grantor dc:publisher.institution

Department of Oceanography

Year dc:date.issued

2007

Author dc:creator

• Howard, James A E

Advisors dc:contributor.advisor

• Moloney, Coleen
• Jarre, Astrid
• Clark, Allan

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/6481

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/6481