Use of remotely sensed data to estimate tree species diversity as an indicator of biodiversity in BloubergNature Reserve, South Africa

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dc.contributor.authorRampheri, Mangana
dc.contributor.authorDube, Timothy
dc.contributor.authorDhau, Inos
dc.date.accessioned2023-06-15T08:54:12Z
dc.date.available2023-06-15T08:54:12Z
dc.date.issued2022
dc.description.abstractWe use remotely sensed data to estimate species diversity inBlouberg Nature Reserve (BNR) in the Limpopo province, SouthAfrica to understand the state of biodiversity since communities’involvement in conservation initiatives. To achieve this objective,Landsat series data collected before and after community involve-ment in biodiversity conservation were used in conjunction withselected diversity indices i.e., Shannon-Wiener Index (H’) andSimpson Index (D). Thirty 15m 15 mfield plots were selectedand all trees within each plot were identified, with the help ofBotanists. Further, we applied regression analysis to determinethe relationship between satellite derived tree species diversityandfield observations. The results of the study demonstrated asignificant (p<0.5) variation in tree species diversity between1990 and 2019.en_US
dc.identifier.citationRampheri, M. et al. (2022). Use of remotely sensed data to estimate tree species diversity as an indicator of biodiversity in BloubergNature Reserve, South Africa. Geocarto International, 37(2), 526–542. https://doi.org/10.1080/10106049.2020.1723717en_US
dc.identifier.issn1752-0762
dc.identifier.urihttps://doi.org/10.1080/10106049.2020.1723717
dc.identifier.urihttp://hdl.handle.net/10566/9086
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.subjectBiodiversityen_US
dc.subjectEcologyen_US
dc.subjectStatisticsen_US
dc.subjectSatellite dataen_US
dc.subjectSouth Africaen_US
dc.titleUse of remotely sensed data to estimate tree species diversity as an indicator of biodiversity in BloubergNature Reserve, South Africaen_US
dc.typeArticleen_US

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