Spatio–temporal variation of vegetation heterogeneity in groundwater dependent ecosystems within arid environments
Loading...
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Ecological Informatics
Abstract
Climate change, land cover change and the over–abstraction of groundwater threaten the existence of Groundwater-Dependent Ecosystems (GDE), despite these environments being regarded as biodiversity hotspots. The vegetation heterogeneity in GDEs requires routine monitoring in order to conserve and preserve the ecosystem services in these environments. However, in–situ monitoring of vegetation heterogeneity in extensive, or transboundary, groundwater resources remain a challenge. Inherently, the Spectral Variation Hypothesis (SVH) and remotely-sensed data provide a unique way to monitor the response of GDEs to seasonal or intra–annual environmental stressors, which is the key for achieving the national and regional biodiversity targets. This study presents the first attempt at monitoring the intra–annual, spatio–temporal variations in vegetation heterogeneity in the Khakea–Bray Transboundary Aquifer, which is located between Botswana and South Africa, by using the coefficient of variation derived from the Landsat 8 OLI Operational Land Imager (OLI).
Description
Keywords
Khakea–bray, Rao’s Q, Random forest, Vegetation heterogeneity, Spectral variation hypothesis (SVH)
Citation
Mpakairi, K.S., Dube, T., Dondofema, F. and Dalu, T., 2022. Spatio–temporal variation of vegetation heterogeneity in groundwater dependent ecosystems within arid environments. Ecological Informatics, 69, p.101667.