A spatio-temporal, landscape perspective on Acacia dealbata invasions and broader land use and cover changes in the northern Eastern Cape, South Africa
Biological invasions and human land use both have the potential to drastically alter the patterns and processes of landscapes, driving habitat fragmentation and altering natural disturbance regimes. The proliferation of an invasive species depends on composition and configuration of the landscape, as well as the invasiveness of the species. To effectively manage a highly invasive species, such as Acacia dealbata, it is crucial to understand the historical progression of the invasion within the landscape. This study sought to examine the landscape dynamics of biological invasions by tracking the historical spread of A. dealbata and broader land use/land cover (LULC) changes at different spatio-temporal scales in the northern Eastern Cape. A time-series of aerial photographs were systematically classified according to designated A. dealbata and LULC categories in ArcGIS to track the changes in the extent and rate of spread of A. dealbata. Markedly dynamic, multi-directional, and spatio-temporally variable LULC transitions were observed across the northern Eastern Cape over the last six decades. A. dealbata frequently retained a high proportion of cover over time, and despite the loss of cover to other LULC classes, a net increase in A. dealbata cover occurred as it spread at an overall annual rate of 0.11–0.21%, occupying approximately 8–18% of land cover across all sampled sites by 2013. Any management interventions to limit or control A. dealbata should therefore consider the spatio-temporal and LULC nuances of landscapes.
KeywordsAcacia dealbata Dynamic Invasion Landscapes Scales Transitions
This research would not have been possible without the support of the Plant Protection Research Institute division of the Agricultural Research Council (ARC). We are especially grateful to Dr. Alan Wood for facilitating the funding of this research through the ARC. We would also like to thank Dr. Paula Lorenzo and Prof. Mark Robertson for invaluable comments on a previous draft of this paper.
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