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dc.contributor.advisorRivers-Moore, Nicholas A.
dc.contributor.advisorGrenfell, Michael
dc.contributor.authorMohanlal, Shanice
dc.date.accessioned2022-02-10T12:13:04Z
dc.date.available2022-02-10T12:13:04Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/11394/8690
dc.description>Magister Scientiae - MScen_US
dc.description.abstractWetlands have been recognised as one of the most intrinsically valuable and threatened ecosystems in the world. Global estimates indicate that wetlands are being lost or transformed at a rapid rate, exacerbated by projected climate change impacts. This has prompted the need to improve wetland mapping to address the conservation and management of these ecosystems effectively. However, this remains a challenge. Current mapping approaches estimates of wetland extent vastly underestimate the true extent. Ancillary data has been acknowledged to improve the accuracy of mapping the distribution of wetlands.en_US
dc.language.isoenen_US
dc.publisherUniversity of Western Capeen_US
dc.subjectLogistic regressionen_US
dc.subjectPredictive modellingen_US
dc.subjectWetland mappingen_US
dc.subjectClimate changeen_US
dc.subjectWestern Capeen_US
dc.titleEnvironmental modelling of wetland distribution in the Western Cape, South Africa: A climate change perspectiveen_US
dc.rights.holderUniversity of Western Capeen_US


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