Literature DB >> 31734497

Land susceptibility to water and wind erosion risks in the East Africa region.

Ayele Almaw Fenta1, Atsushi Tsunekawa2, Nigussie Haregeweyn3, Jean Poesen4, Mitsuru Tsubo2, Pasquale Borrelli5, Panos Panagos6, Matthias Vanmaercke7, Jente Broeckx4, Hiroshi Yasuda2, Takayuki Kawai2, Yasunori Kurosaki2.   

Abstract

Land degradation by water and wind erosion is a serious problem worldwide. Despite the significant amount of research on this topic, quantifying these processes at large- or regional-scale remains difficult. Furthermore, very few studies provide integrated assessments of land susceptibility to both water and wind erosion. Therefore, this study investigated the spatial patterns of water and wind erosion risks, first separately and then combined, in the drought-prone region of East Africa using the best available datasets. As to water erosion, we adopted the spatially distributed version of the Revised Universal Soil Loss Equation and compared our estimates with plot-scale measurements and watershed sediment yield (SY) data. The order of magnitude of our soil loss estimates by water erosion is within the range of measured plot-scale data. Moreover, despite the fact that SY integrates different soil erosion and sediment deposition processes within watersheds, we observed a strong correlation of SY with our estimated soil loss rates (r2 = 0.4). For wind erosion, we developed a wind erosion index by integrating five relevant factors using fuzzy logic technique. We compared this index with estimates of the frequency of dust storms, derived from long-term Sea-Viewing Wide Field-of-View Sensor Level-3 daily data. This comparison revealed an overall accuracy of 70%. According to our estimates, mean annual gross soil loss by water erosion amounts to 4 billion t, with a mean soil loss rate of 6.3 t ha-1 yr-1, of which ca. 50% was found to originate in Ethiopia. In terms of land cover, ca. 50% of the soil loss by water erosion originates from cropland (with a mean soil loss rate of 18.4 t ha-1 yr-1), which covers ca. 15% of the total area in the study region. Model results showed that nearly 10% of the East Africa region is subject to moderate or elevated water erosion risks (>10 t ha-1 yr-1). With respect to wind erosion, we estimated that around 25% of the study area is experiencing moderate or elevated wind erosion risks (equivalent to a frequency of dust storms >45 days yr-1), of which Sudan and Somalia (which are dominated by bare/sparse vegetation cover) have the largest share (ca. 90%). In total, an estimated 8 million ha is exposed to moderate or elevated risks of soil erosion by both water and wind. The results of this study provide new insights on the spatial patterns of water and wind erosion risks in East Africa and can be used to prioritize areas where further investigations are needed and where remedial actions should be implemented.
Copyright © 2019 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drought-prone; RUSLE model; Remote sensing; Soil erosion; Wind erosion index

Year:  2019        PMID: 31734497     DOI: 10.1016/j.scitotenv.2019.135016

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Regional Potential Wind Erosion Simulation Using Different Models in the Agro-Pastoral Ecotone of Northern China.

Authors:  Jun Liu; Xuyang Wang; Li Zhang; Zhongling Guo; Chunping Chang; Heqiang Du; Haibing Wang; Rende Wang; Jifeng Li; Qing Li
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

2.  Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin.

Authors:  Albert Nkwasa; Celray James Chawanda; Ann van Griensven
Journal:  J Hydrol Reg Stud       Date:  2022-08

3.  Assessing soil system changes under climate-smart agriculture via farmers' observations and conventional soil testing.

Authors:  Samuel Eze; Andrew J Dougill; Steven A Banwart; Susannah M Sallu; Rashid N Mgohele; Catherine J Senkoro
Journal:  Land Degrad Dev       Date:  2022-05-31       Impact factor: 4.377

4.  Spatiotemporal characteristics of soil erosion in a typical watershed consisting of different landscape: A case study of the Qin River Basin.

Authors:  Yanyan Li; Tianqi Rong; Mingzhou Qin; Pengyan Zhang; Dan Yang; Zhenyue Liu; Ying Zhang; Hui Zhu; Meiling Song
Journal:  PLoS One       Date:  2022-10-03       Impact factor: 3.752

  4 in total

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