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Comparison of the Spatial Wind Erosion Patterns of Erosion Risk Mapping and Quantitative Modeling in Eastern Austria

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  • Simon Scheper

    (Dr. Simon Scheper—Research|Consulting|Teaching, Eickhorst 3, 29413 Dähre, Germany
    Federal Research and Training Centre for Forests, Natural Hazards and Landscape, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria)

  • Thomas Weninger

    (Federal Agency for Water Management, Institute for Land and Water Management Research, Pollnbergstraße 1, 3252 Petzenkirchen, Austria)

  • Barbara Kitzler

    (Federal Research and Training Centre for Forests, Natural Hazards and Landscape, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria)

  • Lenka Lackóová

    (Department of Landscape Planning and Land Consolidation, Slovak University of Agriculture in Nitra, Hospodárska 7, 94976 Nitra, Slovakia)

  • Wim Cornelis

    (Department of Environment-UNESCO Chair on Eremology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium)

  • Peter Strauss

    (Federal Agency for Water Management, Institute for Land and Water Management Research, Pollnbergstraße 1, 3252 Petzenkirchen, Austria)

  • Kerstin Michel

    (Federal Research and Training Centre for Forests, Natural Hazards and Landscape, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria)

Abstract

Various large-scale risk maps show that the eastern part of Austria, in particular the Pannonian Basin, is one of the regions in Europe most vulnerable to wind erosion. However, comprehensive assessments of the severity and the extent of wind erosion risk are still lacking for this region. This study aimed to prove the results of large-scale maps by developing high-resolution maps of wind erosion risk for the target area. For this, we applied a qualitative soil erosion assessment (DIN 19706) with lower data requirements and a more data-demanding revised wind erosion equation (RWEQ) within a GIS application to evaluate the process of assessing wind erosion risk. Both models defined similar risk areas, although the assignment of severity classes differed. Most agricultural fields in the study area were classified as not at risk to wind erosion (DIN 19706), whereas the mean annual soil loss rate modeled by RWEQ was 3.7 t ha −1 yr −1 . August was the month with the highest modeled soil loss (average of 0.49 t ha −1 month −1 ), due to a low percentage of vegetation cover and a relatively high weather factor combining wind speed and soil moisture effects. Based on the results, DIN 19706 is suitable for a general classification of wind erosion-prone areas, while RWEQ can derive additional information such as seasonal distribution and soil loss rates besides the spatial extents of wind erosion.

Suggested Citation

  • Simon Scheper & Thomas Weninger & Barbara Kitzler & Lenka Lackóová & Wim Cornelis & Peter Strauss & Kerstin Michel, 2021. "Comparison of the Spatial Wind Erosion Patterns of Erosion Risk Mapping and Quantitative Modeling in Eastern Austria," Land, MDPI, vol. 10(9), pages 1-24, September.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:974-:d:636691
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    References listed on IDEAS

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    1. David Pimentel & Michael Burgess, 2013. "Soil Erosion Threatens Food Production," Agriculture, MDPI, vol. 3(3), pages 1-21, August.
    2. Gezahegn Weldu Woldemariam & Anteneh Derribew Iguala & Solomon Tekalign & Ramireddy Uttama Reddy, 2018. "Spatial Modeling of Soil Erosion Risk and Its Implication for Conservation Planning: the Case of the Gobele Watershed, East Hararghe Zone, Ethiopia," Land, MDPI, vol. 7(1), pages 1-25, February.
    3. Chuxin Zhu & Xiang Fan & Zhongke Bai, 2020. "Spatiotemporal Pattern of Wind Erosion on Unprotected Topsoil Replacement Sites in Mainland China," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
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    1. Tian Tian & Zhenqi Yang & Jianying Guo & Tiegang Zhang & Ziwei Wang & Ping Miao, 2023. "Spatiotemporal Evolution of Soil Erosion and Its Driving Mechanism in the Mongolian Section of the Yellow River Basin," Land, MDPI, vol. 12(4), pages 1-18, March.
    2. Jixian Mo & Jie Li & Ziying Wang & Ziwei Song & Jingyi Feng & Yanjing Che & Jiandong Rong & Siyu Gu, 2023. "Spatiotemporal Evolution of Wind Erosion and Ecological Service Assessments in Northern Songnen Plain, China," Sustainability, MDPI, vol. 15(7), pages 1-20, March.

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