The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Data

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dc.contributor.authorFox, S C
dc.contributor.authorHoffman, M T
dc.contributor.authorHoare, D
dc.date.accessioned2016-07-08T11:14:30Z
dc.date.available2016-07-08T11:14:30Z
dc.date.issued2005
dc.date.updated2015-12-18T11:07:48Z
dc.description.abstractRemote sensing techniques were used to reveal the vegetation patterns in the greater Namaqualand area and to relate them to climatic variables. We related the normalised difference vegetation index (NDVI) to a range of different rainfall and temperature indices. Mean annual NDVI is significantly related to precipitation and potential evapotranspiration (PET). A multiple regression model explains 52% of the variance when Mean Annual NDVI is related to climatic variables. Mean NDVI in August (the month of maximum NDVI in most of Namaqualand) is significantly related to PET and the current plus two previous months of precipitation. A multiple regression model for mean NDVI in August and climatic variables explains 57% of the variance. We also assessed the annual and seasonal NDVI pattern exhibited within seven different vegetation types. The climatic variables influencing the summer rainfall and winter rainfall vegetation types differ significantly from each other. All vegetation types have a peak NDVI signal in August although Mountain Fynbos and North Western Mountain Renosterveld values are significantly higher than the rest. Upland, Lowland and Strandveld Succulent Karoo exhibit similar NDVI responses while the two summer rainfall vegetation types (Bushmanland and Orange River Nama Karoo) have a very low NDVI signal throughout the year. The results suggest that NDVI can be used successfully to detect growth and phenology patterns within different vegetation types in Namaqualand.en_ZA
dc.identifierhttp://dx.doi.org/10.1080/03736245.2005.9713831
dc.identifier.apacitationFox, S. C., Hoffman, M. T., & Hoare, D. (2005). The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Data. <i>South African Geographical Journal</i>, http://hdl.handle.net/11427/20268en_ZA
dc.identifier.chicagocitationFox, S C, M T Hoffman, and D Hoare "The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Data." <i>South African Geographical Journal</i> (2005) http://hdl.handle.net/11427/20268en_ZA
dc.identifier.citationFox, S. C., Hoffman, M. T., & Hoare, D. (2005). The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI data. South African Geographical Journal, 87(2), 85-94.en_ZA
dc.identifier.issn0373-6245en_ZA
dc.identifier.ris TY - Journal Article AU - Fox, S C AU - Hoffman, M T AU - Hoare, D AB - Remote sensing techniques were used to reveal the vegetation patterns in the greater Namaqualand area and to relate them to climatic variables. We related the normalised difference vegetation index (NDVI) to a range of different rainfall and temperature indices. Mean annual NDVI is significantly related to precipitation and potential evapotranspiration (PET). A multiple regression model explains 52% of the variance when Mean Annual NDVI is related to climatic variables. Mean NDVI in August (the month of maximum NDVI in most of Namaqualand) is significantly related to PET and the current plus two previous months of precipitation. A multiple regression model for mean NDVI in August and climatic variables explains 57% of the variance. We also assessed the annual and seasonal NDVI pattern exhibited within seven different vegetation types. The climatic variables influencing the summer rainfall and winter rainfall vegetation types differ significantly from each other. All vegetation types have a peak NDVI signal in August although Mountain Fynbos and North Western Mountain Renosterveld values are significantly higher than the rest. Upland, Lowland and Strandveld Succulent Karoo exhibit similar NDVI responses while the two summer rainfall vegetation types (Bushmanland and Orange River Nama Karoo) have a very low NDVI signal throughout the year. The results suggest that NDVI can be used successfully to detect growth and phenology patterns within different vegetation types in Namaqualand. DA - 2005 DB - OpenUCT DP - University of Cape Town J1 - South African Geographical Journal KW - vegetation pattern KW - climate KW - South Africa KW - Namaqualand KW - NOAA-AVHRR NDVI DATA LK - https://open.uct.ac.za PB - University of Cape Town PY - 2005 SM - 0373-6245 T1 - The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Data TI - The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Data UR - http://hdl.handle.net/11427/20268 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/20268
dc.identifier.vancouvercitationFox SC, Hoffman MT, Hoare D. The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Data. South African Geographical Journal. 2005; http://hdl.handle.net/11427/20268.en_ZA
dc.languageengen_ZA
dc.publisherTaylor & Francisen_ZA
dc.publisher.departmentDepartment of Biological Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.sourceSouth African Geographical Journalen_ZA
dc.source.urihttp://www.tandfonline.com/toc/rsag20/current
dc.subjectvegetation pattern
dc.subjectclimate
dc.subjectSouth Africa
dc.subjectNamaqualand
dc.subjectNOAA-AVHRR NDVI DATA
dc.titleThe phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI Dataen_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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