Modelling the distribution of Seriphium Plumosum in Msukaligwa Local Municipality, Mpumalanga Province

Description

Department of Geography and Geo-Information Sciences / MENVSC

Links & Downloads

1. http://hdl.handle.net/123456789/421

Tags

Abiotic factors

Classification

Digitizing

Distribution

Moddeling

Geographic information systems

Enchrochment

Global Positioning System

Remote sensing

Seriphium

582.16096827

Trees -- South Africa -- Limpopo

Plants -- South Africa -- Limpopo

Shrubs -- South Africa -- Limpopo

Woody plants -- South Africa -- Limpopo

Additional Fields

Identifer	oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:univen/oai:univendspace.univen.ac.za:123456789/421
Date	15 February 2016
Creators	Mutswari, Humbelani Brenny
Contributors	Nethengwe, N. S., Dondofema, F.
Source Sets	South African National ETD Portal
Language	English
Detected Language	English
Type	Thesis
Rights	University of Venda