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Spatial modeling of relationship between soil erosion factors and land-use changes at sub-watershed scale for the Talar watershed, Iran

Author

Listed:
  • Fahimeh Mirchooli

    (Tarbiat Modares University
    Lab Expert, Sari Agricultural Sciences and Natural Resources University)

  • Maziar Mohammadi

    (Tarbiat Modares University
    University of Zurich (UZH))

  • Seyed Hamidreza Sadeghi

    (Tarbiat Modares University
    Tarbiat Modares University)

Abstract

Soil erosion is one of the most common types of land degradation. To provide useful information for proper management, quantitative soil erosion evaluation and identifying influential factors are needed. However, rare studies have been reported on spatial modeling of soil erosion in connection with affective factors to prioritize the locality and the type of erosion control measures. Hence, the aim of this study was to (1) assess erosion-prone areas in the Talar watershed, Iran, using the revised universal soil loss equation (RUSLE) model and (2) investigate the relationship between soil erosion variability and land-use changes. Toward that, the ordinary least squares (OLS), geographically weighted regression (GWR) models, and principal component analysis (PCA) were used to analyze spatial relationships between soil erosion, land-use, and the RUSLE factors. The results of the OLS and GWR models indicated that these relationships are spatially non-stationary. GWR models had a good predictive performance than OLS with lower Akaike’s Information Criterion (from 254.31 to 276.81 in OLS and from 247.87 to 269.42 in GWR) and higher adjusted R2 values (from 0.12 to 0.54 in OLS, and from 0.36 to 0.66 in GWR). Among the variables mentioned above, LS factor, P factor, forest, and irrigated land were the most influential variables in GWR models. The results of PCA showed that PC1 and PC2 explained 66.2% of the variation in soil erosion concerning land-use and the RUSLE factors. These results provided appropriate references for managers and experts properly planning the study watershed. Graphical abstract

Suggested Citation

  • Fahimeh Mirchooli & Maziar Mohammadi & Seyed Hamidreza Sadeghi, 2023. "Spatial modeling of relationship between soil erosion factors and land-use changes at sub-watershed scale for the Talar watershed, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3703-3723, April.
    • Handle: RePEc:spr:nathaz:v:116:y:2023:i:3:d:10.1007_s11069-023-05832-2
    DOI: 10.1007/s11069-023-05832-2
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    References listed on IDEAS

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    1. Chandra Setyawan & Chin-Yu Lee & Miky Prawitasari, 2019. "Investigating spatial contribution of land use types and land slope classes on soil erosion distribution under tropical environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(2), pages 697-718, September.
    2. Rabin Chakrabortty & Subodh Chandra Pal & Mehebub Sahana & Ayan Mondal & Jie Dou & Binh Thai Pham & Ali P. Yunus, 2020. "Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1259-1294, November.
    3. Halecki, Wiktor & Kruk, Edyta & Ryczek, Marek, 2018. "Loss of topsoil and soil erosion by water in agricultural areas: A multi-criteria approach for various land use scenarios in the Western Carpathians using a SWAT model," Land Use Policy, Elsevier, vol. 73(C), pages 363-372.
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