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@ARTICLE{Bouajila:910938,
author = {Bouajila, Abdelhakim and Omar, Zohra and Ajjari, Afaf and
Bol, Roland and Brahim, Nadhem},
title = {{I}mproved estimation and prediction of the wind-erodible
fraction for {A}ridisols in arid southeast {T}unisia},
journal = {Catena},
volume = {211},
issn = {0008-7769},
address = {New York, NY [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2022-04267},
pages = {106001 -},
year = {2022},
note = {Leider kann hier kein Postprint zur Verfügung gestellt
werden},
abstract = {Wind erosion is a serious environmental threat. However,
for Northern Africa estimates or predictions of the wind
erodible fraction (WEF) in arid soils are rare. This study
was conducted to (i) compare the flat sieve (WEFfs) and the
Fryrear equation (WEFc) in order to estimate WEF (ii) fuse
the directly measured WEFfs values to other measured soil
parameters, i.e. soil organic matter (SOM), carbonate
(CaCO3), sand, silt and clay content, to obtain a new
improved WEF equation prediction. Samples were collected at
ten locations near Gabès (Southern Tunisia) at three depths
(0–2.5, 2.5–5 and 5–15 cm) in cultivated or native
soils.The obtained WEFfs $were>80\%$ and therefore the soils
would be classified as highly wind erodible
$(WEF > 50\%).$ The lowest WEFfs values were found in the
cultivated soils $(82.5\%),$ ranging from 82.5 to $96.9\%.$
Our WEFfs estimates were positively correlated to sand
(r = 0.78; p < 0.001), but negatively correlated to
CaCO3 content (r = -0.82; p < 0.001). Interestingly,
neither SOM nor clay content was strongly related to WEFfs.
However, the WEFfs in cultivated soils was significantly
linked to ∑(SOM + clay content). The Fryrear estimation
predicted all WEFc values to be less than $60\%.$ This clear
mismatch to our data relates to CaCO3 presence, high sand
and low SOM content in our Tunisian soils, when compared to
US soils used to establish the Fryrear method. Therefore, we
established a new equation for the wind erodible fraction,
WEFmod $(\%) = 125.83–0.59*Clay(\%)$ − $0.22*Silt(\%)$
− $0.25*Sand(\%) + 0.29*SOM(\%)$ $−0.69*CaCO3(\%)$
(r = 0.85; p < 0.001). In the studied regions of
Tunisia, this equation predicts much better soil WEF. The
present paper is a first study to improve WEF estimation and
prediction in arid North Africa. Better predictions of WEF
are crucial in combating wind erosion of soils both in North
Africa and in comparable soils globally.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000790443900003},
doi = {10.1016/j.catena.2021.106001},
url = {https://juser.fz-juelich.de/record/910938},
}