The aims of this study are to increase objectivity in stratification, sampling and classification of vegetation, thereby, improving repeatability, predictability and relevancy of vegetation classifications. The aims are achieved by: relating stratification, sampling and classification to scale; improved small-scale vegetation mapping using, satellite imagery; improved plant cover estimations; and vegetation classification by minimum entropy. A comprehensive computer program package was developed to facilitate the aims of this study and reduce time spent on vegetation analyses. It is recommended that the vegetation resource be given the highest national priority because correct vegetation management can also ensure conservation of soil and soil water. / Thesis (PHD)--University of Pretoria, 2009. / Plant Science / unrestricted
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:up/oai:repository.up.ac.za:2263/27709 |
| Date | 03 September 2009 |
| Creators | Westfall, Robert Howard |
| Contributors | Prof G K Theron, bobbywestfall@gmail.com, Dr N van Rooyen |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
| Rights | © 1992, 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. |
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