Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa
Across savanna landscapes of southern Africa, people are strongly tied to the environment, meaning alterations to the landscape would impact livelihoods and socioecological development. Given the human–environment connection, it is essential to further our understanding of the drivers of s...
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doaj-90eea8c5d15f4d4b8fa24f98150522162020-11-24T21:35:05ZengMDPI AGRemote Sensing2072-42922018-06-01107101310.3390/rs10071013rs10071013Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern AfricaErin L. Bunting0Jane Southworth1Hannah Herrero2Sadie J. Ryan3Peter Waylen4Department of Geography, Environment, and Spatial Sciences; Michigan State University, 673 Auditorium Rd., East Lansing, MI 48825, USADepartment of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL 32611, USADepartment of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL 32611, USADepartment of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL 32611, USADepartment of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL 32611, USAAcross savanna landscapes of southern Africa, people are strongly tied to the environment, meaning alterations to the landscape would impact livelihoods and socioecological development. Given the human–environment connection, it is essential to further our understanding of the drivers of savanna vegetation dynamics, and under increasing climate variability, to better understand the vegetation–climate relationship. Monthly time series of Advanced Very High-Resolution Radiometer (AVHRR)- and Moderate Resolution Imaging Spectroradiometer (MODIS) derived vegetation indices, available from as early as the 1980s, holds promise for the large-scale quantification of complex vegetation–climate dynamics and regional analyses of landscape change as related to global environmental changes. In this work, we employ time series based analyses to examine landscape-level vegetation greening patterns over time and across a significant precipitation gradient. In this study, we show that climate induced reductions in Normalized Difference Vegetation Index (NDVI; i.e., degradation or biomass decline) have had large spatial and temporal impacts across the Kwando, Okavango, and Zambezi catchments of southern Africa. We conclude that over time there have been alterations in the available soil moisture resulting from increases in temperature in every season. Such changes in the ecosystem dynamics of all three basins has led to system-wide changes in landscape greening patterns.http://www.mdpi.com/2072-4292/10/7/1013Normalized Difference Vegetation Indexprecipitationtemperaturesavannaclimate variabilityvegetation persistencesouthern Africa |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Erin L. Bunting Jane Southworth Hannah Herrero Sadie J. Ryan Peter Waylen |
spellingShingle |
Erin L. Bunting Jane Southworth Hannah Herrero Sadie J. Ryan Peter Waylen Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa Remote Sensing Normalized Difference Vegetation Index precipitation temperature savanna climate variability vegetation persistence southern Africa |
author_facet |
Erin L. Bunting Jane Southworth Hannah Herrero Sadie J. Ryan Peter Waylen |
author_sort |
Erin L. Bunting |
title |
Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa |
title_short |
Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa |
title_full |
Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa |
title_fullStr |
Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa |
title_full_unstemmed |
Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa |
title_sort |
understanding long-term savanna vegetation persistence across three drainage basins in southern africa |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-06-01 |
description |
Across savanna landscapes of southern Africa, people are strongly tied to the environment, meaning alterations to the landscape would impact livelihoods and socioecological development. Given the human–environment connection, it is essential to further our understanding of the drivers of savanna vegetation dynamics, and under increasing climate variability, to better understand the vegetation–climate relationship. Monthly time series of Advanced Very High-Resolution Radiometer (AVHRR)- and Moderate Resolution Imaging Spectroradiometer (MODIS) derived vegetation indices, available from as early as the 1980s, holds promise for the large-scale quantification of complex vegetation–climate dynamics and regional analyses of landscape change as related to global environmental changes. In this work, we employ time series based analyses to examine landscape-level vegetation greening patterns over time and across a significant precipitation gradient. In this study, we show that climate induced reductions in Normalized Difference Vegetation Index (NDVI; i.e., degradation or biomass decline) have had large spatial and temporal impacts across the Kwando, Okavango, and Zambezi catchments of southern Africa. We conclude that over time there have been alterations in the available soil moisture resulting from increases in temperature in every season. Such changes in the ecosystem dynamics of all three basins has led to system-wide changes in landscape greening patterns. |
topic |
Normalized Difference Vegetation Index precipitation temperature savanna climate variability vegetation persistence southern Africa |
url |
http://www.mdpi.com/2072-4292/10/7/1013 |
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