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Land Degrad Dev - 2023 - Kestel - Spatiotemporal variability of the potential wind erosion risk in Southern Africa between (1).pdf 5,40MB
WeightNameValue
1000 Titel
  • Spatiotemporal variability of the potential wind erosion risk in Southern Africa between 2005 and 2019
1000 Autor/in
  1. Kestel, Florian |
  2. Wulf, Monika |
  3. Funk, Roger |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-02-23
1000 Erschienen in
1000 Quellenangabe
  • 34(10):2945-2960
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/ldr.4659 |
1000 Ergänzendes Material
  • https://onlinelibrary.wiley.com/doi/10.1002/ldr.4659#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal environmental modelling
lokal temporal variability
lokal remote sensing
lokal geographic information systems
lokal ILSWE model
lokal wind erosion
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1464-5075|https://frl.publisso.de/adhoc/uri/V3VsZiwgTW9uaWth|https://frl.publisso.de/adhoc/uri/RnVuaywgUm9nZXI=
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Projekt DEAL |
1000 Fördernummer
  1. 01LL1803B
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
  1. Spatiotemporal variability of the potential wind erosion risk in Southern Africa between 2005 and 2019
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01LL1803B
  2. 1000 joinedFunding-child
    1000 Förderer Projekt DEAL |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6461871.rdf
1000 Erstellt am 2023-09-08T11:13:53.895+0200
1000 Erstellt von 333
1000 beschreibt frl:6461871
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2023-10-26T12:39:31.945+0200
1000 Objekt bearb. Thu Oct 26 12:39:13 CEST 2023
1000 Vgl. frl:6461871
1000 Oai Id
  1. oai:frl.publisso.de:frl:6461871 |
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