Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa

Protected environments, such as the Cradle Nature Reserve, are susceptible to environmental factors, including rainfall, temperature, and soil moisture, which affect vegetation health and productivity. This study explores vegetation growth dynamics using Enhanced Vegetation Index (EVI) time series d...

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Main Authors: Charles Matyukira, Paidamwoyo Mhangara, Eskinder Gidey, Jaabir Hussein
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2025.2509873
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author Charles Matyukira
Paidamwoyo Mhangara
Eskinder Gidey
Jaabir Hussein
author_facet Charles Matyukira
Paidamwoyo Mhangara
Eskinder Gidey
Jaabir Hussein
author_sort Charles Matyukira
collection DOAJ
description Protected environments, such as the Cradle Nature Reserve, are susceptible to environmental factors, including rainfall, temperature, and soil moisture, which affect vegetation health and productivity. This study explores vegetation growth dynamics using Enhanced Vegetation Index (EVI) time series derived from Sentinel-2 imagery from 2019 to 2023. Principal Component Analysis (PCA) was applied to reduce data dimensionality and extract the most influential environmental variables. The analysis identified two dominant components: Factor 1 (F1), strongly associated with rainfall and soil moisture, which explained 72.12% of the variance, and Factor 2 (F2), linked to temperature, accounting for an additional 17.96%. Water availability emerged as the primary determinant of vegetation vigor, while temperature played a secondary but critical role by increasing evapotranspiration rates and intensifying vegetation stress during dry seasons. Seasonal stress responses were captured by examining EVI variations across wet and dry periods, revealing vegetation’s sensitivity to both moisture presence and thermal extremes.
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publisher Taylor & Francis Group
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series Geocarto International
spelling doaj-art-cf04bdc47f7e472186db54df0c8b0e902025-08-20T03:12:39ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2509873Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South AfricaCharles Matyukira0Paidamwoyo Mhangara1Eskinder Gidey2Jaabir Hussein3School of Geography, Archaeological & Environmental Studies, Faculty of Science, University of the Witwatersrand, Johannesburg, South AfricaSchool of Geography, Archaeological & Environmental Studies, Faculty of Science, University of the Witwatersrand, Johannesburg, South AfricaSchool of Geography, Archaeological & Environmental Studies, Faculty of Science, University of the Witwatersrand, Johannesburg, South AfricaInternational Livestock Research Institute (ILRI), Nairobi, KenyaProtected environments, such as the Cradle Nature Reserve, are susceptible to environmental factors, including rainfall, temperature, and soil moisture, which affect vegetation health and productivity. This study explores vegetation growth dynamics using Enhanced Vegetation Index (EVI) time series derived from Sentinel-2 imagery from 2019 to 2023. Principal Component Analysis (PCA) was applied to reduce data dimensionality and extract the most influential environmental variables. The analysis identified two dominant components: Factor 1 (F1), strongly associated with rainfall and soil moisture, which explained 72.12% of the variance, and Factor 2 (F2), linked to temperature, accounting for an additional 17.96%. Water availability emerged as the primary determinant of vegetation vigor, while temperature played a secondary but critical role by increasing evapotranspiration rates and intensifying vegetation stress during dry seasons. Seasonal stress responses were captured by examining EVI variations across wet and dry periods, revealing vegetation’s sensitivity to both moisture presence and thermal extremes.https://www.tandfonline.com/doi/10.1080/10106049.2025.2509873Vegetationenhanced vegetation indexenvironmental factorscradle nature reserveSouth Africa
spellingShingle Charles Matyukira
Paidamwoyo Mhangara
Eskinder Gidey
Jaabir Hussein
Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa
Geocarto International
Vegetation
enhanced vegetation index
environmental factors
cradle nature reserve
South Africa
title Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa
title_full Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa
title_fullStr Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa
title_full_unstemmed Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa
title_short Assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis: a case study of the Cradle Nature Reserve, Gauteng province, South Africa
title_sort assessing environmental drivers of vegetation health using enhanced vegetation index and principal component analysis a case study of the cradle nature reserve gauteng province south africa
topic Vegetation
enhanced vegetation index
environmental factors
cradle nature reserve
South Africa
url https://www.tandfonline.com/doi/10.1080/10106049.2025.2509873
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