Show simple item record

dc.contributor.authorVenter, Alexander Samuel
dc.contributor.authorScott, Samantha Luise
dc.contributor.authorDesmet, Philip G.
dc.contributor.authorHoffmann, Michael Timm
dc.coverage.spatialSouth Africanb_NO
dc.description.abstractMonitoring vegetation change is important because the nature, extent and rate of change in key measures, such as plant biomass, cover and species composition, provides critical insight into broader environmental and land use drivers and leads to the development of appropriate policy. We used Landsat data between 1984 and 2018 to produce a map of Enhanced Vegetation Index (EVI) change over South Africa at 30 m resolution and an interactive web application to make the analysis both globally applicable and locally meaningful. We found an increase in EVI of 0.37 ± 0.59% yr−1 (mean ± standard deviation), confirming global vegetation greening trends observed with lower-resolution satellites. Mesic, productive biomes including the Albany Thicket and Savanna, exhibited the largest greening trends while browning trends were dominant in more arid biomes, such as the Succulent Karoo and Desert. Although overall EVI trends correspond to vegetation index trends derived from the Advanced Very-High-Resolution Radiometer (8 km resolution), the relative scarcity of Landsat data availability during the 1980 s is a potential source of error. Using repeat very-high-resolution satellite (ca. 3 m resolution) imagery and ground-based photography as reference, we found good correspondence with EVI trends, revealing patterns of degradation (e.g. woody plant encroachment, desertification), and restoration (e.g. increased rangeland productivity, alien clearing) over selected landscapes. The utility of the EVI trend layer to government and industry for monitoring ecosystem changes will be enhanced by the ability to distinguish climatic from anthropogenic drivers of change. This may be partially achieved though interactive exploration of the EVI trends using the application found here:
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.subjectbush encroachmentnb_NO
dc.subjectecosystem accountsnb_NO
dc.subjectnet primary productivitynb_NO
dc.subjectremote sensingnb_NO
dc.subjectrepeat photographynb_NO
dc.titleApplication of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restorationnb_NO
dc.typePeer reviewednb_NO
dc.typeJournal article
dc.rights.holder© 2020 Published by Elsevier Ltd.nb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488nb_NO
dc.source.journalEcological Indicatorsnb_NO

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal