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

Dissertation (MSc)--University of Pretoria, 1996.

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Other Authors: Van Wyk, Abraham Erasmus (Braam)
Format: Thesis
Published: University of Pretoria 2021
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access_status_str Open Access
author2 Van Wyk, Abraham Erasmus (Braam)
author_browse Van Wyk, Abraham Erasmus (Braam)
author_facet Van Wyk, Abraham Erasmus (Braam)
collection Thesis
dc_rights_str_mv © 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.
description Dissertation (MSc)--University of Pretoria, 1996.
format Thesis
id oai:repository.up.ac.za:2263/82475
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:37:26.341Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/82475 A study of rainfall variability of South Africa as revealed by multivariate analysis Van Wyk, Abraham Erasmus (Braam) Van Rooyen, Noel, 1950- Lubbe, Richard Andrew UCTD Rainfall n South Africa Dissertation (MSc)--University of Pretoria, 1996. The 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. Plant Science MSc Unrestricted 2021-11-02T10:19:35Z 2021-11-02T10:19:35Z 2021 1997 Dissertation * http://hdl.handle.net/2263/82475 © 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. application/pdf University of Pretoria
spellingShingle UCTD
Rainfall n South Africa
A study of rainfall variability of South Africa as revealed by multivariate analysis
title A study of rainfall variability of South Africa as revealed by multivariate analysis
title_full A study of rainfall variability of South Africa as revealed by multivariate analysis
title_fullStr A study of rainfall variability of South Africa as revealed by multivariate analysis
title_full_unstemmed A study of rainfall variability of South Africa as revealed by multivariate analysis
title_short A study of rainfall variability of South Africa as revealed by multivariate analysis
title_sort study of rainfall variability of south africa as revealed by multivariate analysis
topic UCTD
Rainfall n South Africa
url http://hdl.handle.net/2263/82475