A study of rainfall variability of South Africa as revealed by multivariate analysis

dc.contributor.advisorVan Wyk, Abraham Erasmus (Braam)
dc.contributor.coadvisorVan Rooyen, Noel, 1950-
dc.contributor.postgraduateLubbe, Richard Andrew
dc.date.accessioned2021-11-02T10:19:35Z
dc.date.available2021-11-02T10:19:35Z
dc.date.created2021
dc.date.issued1997
dc.descriptionDissertation (MSc)--University of Pretoria, 1996.
dc.description.abstractThe vegetation of the Kasi Bay Coastal Forest Reserve was classified by means ofBraunBlanquet and TWINSP AN procedures. Twelve major plant communities were identified, occurring along a gradient from the inland fresh water habitats, to the beach with influences from strong winds and salt spray. Some of these communities were further divided into plant communities and sub-communities giving a total of 27 plant communities and three subcommunities. A vegetation map was compiled for the study area using Geographical Information System procedures. Veld condition was good and the grazing capacity high ranging between 2.9 and 5.6 ha/LSU (cattle). A checklist of 1 164 vascular plant species collected in the study area was compiled. The distribution of 71 plant species endemic to the Maputaland Centre ofEndemism was related to plant communities. The coastal grassland communities were prioritized for conservation, as a large number ofMaputaland Centre endemics are restricted to these communities.
dc.description.availabilityUnrestricted
dc.description.degreeMSc
dc.description.departmentPlant Science
dc.identifier.citation*
dc.identifier.urihttp://hdl.handle.net/2263/82475
dc.publisherUniversity of Pretoria
dc.rights© 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subjectUCTD
dc.subjectRainfall n South Africa
dc.titleA study of rainfall variability of South Africa as revealed by multivariate analysis
dc.typeDissertation

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