Classification, description and mapping of the vegetation in Khutse Game Reserve, Botswana

T. Lori,P. Koosaletse-Mswela

Published 2019 in Botswana journal of agriculture and applied sciences

ABSTRACT

There is currently no detailed classification and description of plant communities in Khutse Game Reserve (KGR), Botswana, using phytosociological techniques. The main aim of this study was to classify and describe plant communities in KGR. Classification and description of plant communities will help in understanding the plant ecology of KGR. Braun-Blanquet sampling method was applied in 91 stratified random relevés. Nine plant communities were identified and classified using Modified TWINSPAN which is contained in JUICE program. The results showed that there was a statistically significant difference in percentage cover of herbaceous plants between the different plant communities. Schmidtia pappophoroides-Stipagrostis uniplumis and Heliotropium lineare-Enneapogon desvauxii communities had higher cover (%) of herbaceous plants than other communities. Catophractes alexandri-Stipagrostis uniplumis community had the highest cover (%) of shrubs. There was no statistically significant difference in plant species diversity (Shannon-Wienner Index) and species evenness between plant communities, but there was a statistically significant difference in plant species richness between the different plant communities. Dichrostachys cinerea-Grewia flava community, Senegalia mellifera subsp. detinens-Maytenus species community and Catophractes alexandri-Stipagrostis uniplumis community had lower number of species, whereas Vachellia luederitzii var. retinens-Grewia flava community had the highest number (46) of plant species. This study will help the Department of Wildlife and National Parks (DWNP) to develop an updated and informed Management Plan for the reserve, which takes cognizance of the plant ecology of the reserve.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Botswana journal of agriculture and applied sciences

  • Publication date

    2019-09-26

  • Fields of study

    Geography, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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REFERENCES

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