Spatiotemporal variability of the potential wind erosion risk in Southern Africa between 2005 and 2019
Bibliographic Data
| ID | 21648152 |
|---|---|
| Authors | Florian Kestel (0000-0002-1464-5075, Working Group: Soil Erosion and Feedback in Research Area 1 “Landscape Functioning” Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg Germany, corresponding author), Monika Wulf (0000-0001-6499-0750, Working Group: Soil Erosion and Feedback in Research Area 1 “Landscape Functioning” Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg Germany), Roger Funk (0000-0001-8739-6201, Working Group: Soil Erosion and Feedback in Research Area 1 “Landscape Functioning” Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg Germany) |
| Year | 2023 |
| Volume | 34 |
| Issue | 10 |
| Pages | 2945-2960 |
| Publication date | 2023-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Land Degradation and Development (JOURNAL) |
| Journal identifiers | ISSN: 1085-3278 • E-ISSN: 1099-145X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ldr.4659 |
| OpenAlex | W4321615656 |
| Language | EN |
| References cited | 84 |
Regional assessments of the wind erosion risk are rare and vary due to the methods used and the available data to be included. The adaptation of existing methods has the advantage that the results can be compared directly. We adopted an already successfully applied methodology (ILSWE—applied in East Africa), to investigate the spatiotemporal variability of the wind erosion risk between 2005 and 2019 in Southern Africa. The approach integrates climatic variables, a vegetation index, and soil properties to describe the potential impact of wind erosion at the landscape scale. The annual and seasonal variability is determined by the vegetation cover, whereas droughts and strong El Niño events had only regional effects. We estimated that 8.3% of the study area experiences a moderate to elevated wind erosion risk over the 15‐year period with annual and inter‐annual fluctuations showing a slight upward trend. In general, the desert and drylands in the west have the highest proportion of risk areas, the moist forests in the east are characterized by a very low risk of wind erosion, while the grasslands, shrublands, and croplands in the interior most likely react to changes of climatic conditions. The validation process is based on a comparison with the estimated frequency of dust storms derived from the aerosol optical depth and angstrom exponent and revealed an overall accuracy of 65%. The results of this study identify regions and yearly periods prone to wind erosion to prioritize for further analysis and conservation policies for mitigation and adaptation strategies
Aeolian processes · Arid · Climatology · Ecosystem · Erosion · Geography · Meteorology · Physical geography · Precipitation · Shrubland · Storm · Aeolian processes and effects · Environmental Science · Geology and Paleoclimatology Research · Soil erosion and sediment transport · Ecology · Geology
Very high resolution interpolated climate surfaces for global land areas
Global desertification
Merra
TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015
Updated high‐resolution grids of monthly climatic observations – the CRU TS3 .10 Dataset
Overview of the radiometric and biophysical performance of the Modis vegetation indices
The JRA-55 Reanalysis
Soil erosion and agricultural sustainability
WorldClim 2
Fuzzy sets
Impacts of climate change on wind erosion in Southern Africa between 1991 and 2015
Projections of rapidly rising surface temperatures over Africa under low mitigation
Distinguishing southern Africa precipitation response by strength of El Niño events and implications for decision-making
Error on Choroplethic Maps
| Highly cited | No |
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