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Optimising vegetation assessments to facilitate wildlife management

Dissertation (MSc)--University of Pretoria, 2015.

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Other Authors: Somers, Michael J.
Format: Thesis
Language:English
Published: University of Pretoria 2016
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access_status_str Open Access
author2 Somers, Michael J.
author_browse Somers, Michael J.
author_facet Somers, Michael J.
collection Thesis
dc_rights_str_mv © 2016, 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, 2015.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:07.647Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
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:2263/53567 Optimising vegetation assessments to facilitate wildlife management Somers, Michael J. mzingel@icon.co.za Zingel, Michael William UCTD Vegetation assessment Wildlife management Ecosytems Game farming South Africa Natural and agricultural sciences theses SDG-12 Natural and agricultural sciences theses SDG-13 Natural and agricultural sciences theses SDG-15 Dissertation (MSc)--University of Pretoria, 2015. Vegetation assessment is a requirement for the identification and understanding of components of complex ecosystems that characterise wildlife areas. It is important that assessment methods are reliable yet practical for use in wildlife management. There are many assessment methods in use. This study sets out to compare two methods that fulfil these requirements and to examine synergy to optimise assessment. The study area is Evelyn Game Ranch situated on the farms Kranenberg 162 MS and Evelyn 159 MS in the Messina magisterial district, Limpopo province, South Africa. It covers 1 293 ha. The owner of Evelyn Game Ranch suggests that overgrazing by livestock in years gone by caused degradation of the veld. The intention is to remedy degradation of the different vegetation communities that comprise the veld. Difficulty exists in delineating the different vegetation communities into manageable entities and relating those with shared floristic attributes to one another. The aim of this study is to show that a map derived from digital Google Earth imagery and classification described by PHYTOSET procedures is less complicated, more objective and less time consuming to develop than the widely used method of physiognomic mapping and vegetation analysis using Braun-Blanquet procedures. Both approaches yielded outcomes usable for modelling for ranch management. However neither was sufficiently superior to allow disregard for the other. I suggest that synergy of the two approaches is a solution, with complementary elements of each applied to a project. Better options are likely to emerge and may develop in a way that would obviate the need for synergies and would suffice on their own. Two methods are suggested. As is the case with PHYTOSET procedures, iterative data and objective classifications characterise these approaches. bs2026 Animal and Wildlife Sciences MSc Unrestricted SDG-12: Responsible consumption and production SDG-13: Climate action SDG-15: Life on land 2016-07-01T10:33:57Z 2016-07-01T10:33:57Z 2016-04-15 2015 Dissertation Zingel, MW 2016, Optimising vegetation assessments to facilitate wildlife management, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/53567> A2016 http://hdl.handle.net/2263/53567 en © 2016, 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
Vegetation assessment
Wildlife management
Ecosytems
Game farming
South Africa
Natural and agricultural sciences theses SDG-12
Natural and agricultural sciences theses SDG-13
Natural and agricultural sciences theses SDG-15
Optimising vegetation assessments to facilitate wildlife management
title Optimising vegetation assessments to facilitate wildlife management
title_full Optimising vegetation assessments to facilitate wildlife management
title_fullStr Optimising vegetation assessments to facilitate wildlife management
title_full_unstemmed Optimising vegetation assessments to facilitate wildlife management
title_short Optimising vegetation assessments to facilitate wildlife management
title_sort optimising vegetation assessments to facilitate wildlife management
topic UCTD
Vegetation assessment
Wildlife management
Ecosytems
Game farming
South Africa
Natural and agricultural sciences theses SDG-12
Natural and agricultural sciences theses SDG-13
Natural and agricultural sciences theses SDG-15
url http://hdl.handle.net/2263/53567