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Soil loss tolerance in calcareous soils of a semiarid region

Evaluation, prediction, and influential parameters

Bibliographic Data

ID21648834
AuthorsYaser Ostovari (0000-0003-1692-6185, Department of Soil Science, College of Agriculture Shiraz University Shiraz Iran), Ali Akbar Moosavi (0000-0003-0305-2829, Department of Soil Science, College of Agriculture Shiraz University Shiraz Iran, corresponding author), Hamid Reza Pourghasemi (0000-0003-2328-2998, Department of Natural Resources and Environment Engineering, College of Agriculture Shiraz University Shiraz Iran)
Year2020
Volume31
Issue15
Pages2156-2167
Publication date2020-09-01
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3597
OpenAlexW3010623261
LanguageEN
Citations received2
References cited33

Predicting soil loss tolerance ( T ‐value) as a first and crucial step in assessing soil erosion using pedotransfer functions (PTFs) could save time and cost. Therefore, this study aimed to evaluate T ‐value and its influential parameters for calcareous soils of the Dorudzan Watershed, Fars Province, Iran, and to develop PTFs for its prediction using easily measureable soil properties. T ‐value was determined in 60 soil profiles based on the soil thickness method. Various basic soil properties were used to develop five PTFs using stepwise multiple linear regression. T ‐value varied from 3.5 to 22.5 with a mean value of 10.4 t ha −1 yr −1 , which is approximately equal to the proposed value by US Department of Agriculture (11 t ha −1 yr −1 ). T ‐value in Inceptisols located in the dam shore and agricultural lands was significantly higher than that of Entisols located in the forest and rangelands. Organic matter (OM) with a correlation coefficient of .77 with T ‐value was the most influential variable in prediction of T ‐value. The PTF 5, which used OM, soil aggregate stability, and permeability, with the highest R 2 (0.72 and 0.79), the lowest mean error (−0.44 and 1.75 t ha −1 yr −1 ), the lowest root mean square error (2.98 and 2.75 t ha −1 yr −1 ) and the minimum Akaike information criterion (51.1 and 17.2) provided the best predictions for T ‐value. However, when considering the acceptable indices and easier measureable soil properties (OM, soil erodibility, and pH) in PTF 3, we concluded that it was the best model to predict T ‐value. Generally, the application of thickness method is recommended to determine T ‐value in semiarid regions

Akaike information criterion · Entisol · Geotechnical engineering · Hydraulic conductivity · Linear regression · Pedotransfer function · Silt · Soil water · Statistics · Stepwise regression · Environmental Science · Mathematics · Soil and Unsaturated Flow · Soil Carbon and Nitrogen Dynamics · Soil erosion and sediment transport · Geology · Soil Science

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Citations per year0.5
Citation span2022 - 2022 (1)
Highly citedNo
Open DOISci-Hub
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