Prediction of Soil Erodibility by Diffuse Reflectance Spectroscopy in a Neotropical Dry Forest Biome

Pontes, Samuel Ferreira; Silva, Yuri Jacques Agra Bezerra da; Martins, Vanessa; Boechat, Cácio Luiz; Araújo, Ademir Sérgio Ferreira de; Dantas, Jussara Silva; Costa, Ozeas S.; Barbosa, Ronny Sobreira

doi:10.3390/land11122188

Cited by 4 publications

(2 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding soil erosion, inefficient agricultural and grassland practices in the watershed pose a moderate to high risk [68]. In addition, due to the semi-arid climate of the research area, the organic matter content of the soil is even lower (0.2%) than that of dry tropical forests [69]. Thus, the low organic matter content is reflected in the high RUSLE K-factor values calculated for the region.…”

Section: Discussionmentioning

confidence: 95%

Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye

et al. 2023

View full text Add to dashboard Cite

The prioritization of preventing soil loss in Türkiye’s watersheds has become a pressing concern for planners. Numerous mathematical models are presently utilized on a global scale for soil erosion prediction. One such model is the Revised Universal Soil Loss Equation (RUSLE), commonly used to estimate average soil loss. Recently, there has been an increased emphasis on utilizing USLE/RUSLE in conjunction with Geographic Information System (GIS) technology, enabling grid-based analysis for predicting soil erosion and facilitating control measures. This study evaluates the effectiveness of erosion and flood control initiatives started in the 1970s within the Emine Creek watershed and its tributary rivers in Osmancık, Türkiye, utilizing RUSLE/GIS technologies. Two distinct maps illustrating the potential erosion risks were produced for two distinct temporal intervals, and a comparative analysis was conducted to evaluate the alterations that transpired. The implementation of various measures such as terracing, afforestation, and rehabilitation in the watershed led to a notable prediction of decreasing soil loss in the watershed. From 1970 to 2020, the rate of estimated soil loss was reduced from 417 to 256 metric tons per hectare per year, demonstrating the effectiveness of soil conservation measures in a semi-arid and weakly vegetated area at reducing potential soil loss.

show abstract

Section: Discussionmentioning

confidence: 95%

Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In the NIR spectral range, several studies have been performed with 2:1 phyllosilicates (Cuadros et al, 2016; Madejová et al, 2017). Minerals of this class have expansive characteristics, which usually form soils susceptible to soil erosion due to their expansion and contraction behavior (Pontes et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Near‐infrared spectroscopy as an alternative tool for predicting soil erodibility in a watershed under desertification

Teixeira,

da Silva,

Barbosa

et al. 2023

Land Degrad Dev

Self Cite

View full text Add to dashboard Cite

Near‐infrared spectroscopy (NIR) has become an alternative to conventional techniques for assessing soil properties that are difficult to measure, especially at sites under intense erosion. Thus, the aim of this study was to assess near‐infrared spectroscopy as an alternative tool for predicting soil erodibility in a watershed under desertification. Two hundred and fourteen composite soil samples were collected, where 100 samples were analyzed for physical and chemical properties to obtain K (soil erodibility), Ki (interrill erodibility), and Kr (rill erodibility) values and the remaining 114 composite soil samples were only used to obtain spectral signatures in the NIR range. Then, such database was used to predict the erodibility parameters and soil physicochemical properties. Partial least squares regression was used for modeling the K, Ki, Kr indices and other soil properties. The highest erodibility indices were observed in Acrisols and Luvisols (K = 33.59 × 10−3 t h MJ−1 mm−1, R2 = 0.61, square root of the mean error (RMSE) = 2.62 and residual prediction deviation (RPD) = 1.62; Ki = 5.45 × 10−6 kg s m−4, R2 = 0.49, RMSE = 0.21 and RPD = 1.47; Kr = 21.78 × 10−3 s m−1, R2 = 0.54, RMSE = 0.66 and RPD = 1.68). Erodibility prediction using spectral data was found to be an acceptable alternative and can be applied in other areas struggling with the same phenomena to acquire new robust databases and to improve the understanding of soil erosion and desertification process. Also, our results can extend studies with universal soil‐loss equation and revised universal soil‐loss equation, since erodibility is one of the most important and expensive parameters of these equations, mainly in developing countries where financial support is scarce.

show abstract

The Future of Soil Science in Italy

Terribile,

Renella,

Ajmone Marsan

et al. 2024

Soil Science in Italy

View full text Add to dashboard Cite

Prediction of Soil Erodibility by Diffuse Reflectance Spectroscopy in a Neotropical Dry Forest Biome

Cited by 4 publications

References 73 publications

Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye

Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye

Near‐infrared spectroscopy as an alternative tool for predicting soil erodibility in a watershed under desertification

The Future of Soil Science in Italy

Contact Info

Product

Resources

About