Monitoring the Variations of Soil Salinity in a Palm Grove in Southern Algeria

Benslama, Abderraouf; Khanchoul, Kamel; Benbrahim, Fouzi; Boubehziz, Sana; Chikhi, Faredj; Pedreño, José Navarro

doi:10.3390/su12156117

Cited by 21 publications

(8 citation statements)

References 63 publications

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“…The soil water and salt contents fluctuate over time [39]. In this experiment, following a rainfall event, the average soil water content exhibited a significant decreasing trend over time (Table 2).…”

Section: Discussionmentioning

confidence: 69%

Spatial Distribution Mechanism of Soil Water-Salt Coupling Effect in Arid Saline-Alkali Farmland

Ke,

Ma,

Shen

2024

Preprint

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Revealing the spatial distribution mechanism of the coupling effect between soil water and salt is essential for managing saline-alkali farmland. This study utilized the multifractal method to analyze soil water and salt under varying water content levels in arid saline-alkali farmland. Soil samples were collected on the second (S1), fifth (S2), eighth (S3), eleventh (S4), and fourteenth (S5) days after a rainfall event. The findings showed that a significant decrease in soil water content, contrasting with an increase in soil salt content throughout the soil layers post-rainfall. As water content decreased, the spatial variability of soil water initially increased from S1-3 and then decreased, while the spatial variability of soil salt decreased. The spatial distribution between soil water and salt exhibited a high correlation at S3-4 (with relative water content of soil ranging from 0.52 to 0.75) due to their coupling effect. However, soil salt was unevenly leached by rainfall at high water content levels (S1-2) and precipitated at low water content levels (S5), resulting in low spatial variability correlations between soil water and salt. This study elucidated the coupling process of soil water and salt, identifying their spatiotemporal distribution mechanism in dryland agricultural areas.

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Section: Discussionmentioning

confidence: 69%

Spatial Distribution Mechanism of Soil Water-Salt Coupling Effect in Arid Saline-Alkali Farmland

Ke,

Ma,

Shen

2024

Preprint

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“…The electrical conductivity was in the range of 0.19-9.26 dS/m, representing the non-saline to highly saline soils in cropland areas associated with the presence of some samples close to the salt flats of Santa Pola and the Natural Park of el Hondo (Alicante), the non-saline soils of grassland zones, and the urban soils, exhibiting a certain variability, ranging from 0.13 to 2.41 dS/m. In general, moderate to high EC values are frequent in this region, where geological factors in combination with a semiarid climate and intensive agricultural practices create conditions that contribute to elevated salinity on the surface [61]. The equivalent calcium carbonate content of these soils showed an average percentage close to or slightly over 10%, although the differences between urban soils and the others were statistically significant, with a higher amount of carbonate found in urban areas.…”

Section: Soil Basic Propertiesmentioning

confidence: 92%

Carbon and Nitrogen Stocks in Topsoil under Different Land Use/Land Cover Types in the Southeast of Spain

Benslama,

Lucas,

Jordan Vidal

et al. 2024

AgriEngineering

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Land use plays a crucial role in the stock of soil organic carbon (SOC) and soil nitrogen (SN). The aim of this study was to assess and characterize the effects of various soil management practices on the physicochemical properties of soil in a Mediterranean region in southeastern Spain. Texture, soil moisture, bulk density, pH, electrical conductivity, equivalent CaCO3 (%), soil organic matter and carbon, and Kjeldahl nitrogen were determined for the surface topsoil (0–5 cm, 180 samples) under three types of land cover: cropland, grassland, and urban soil. The main soil textures were silt, silt loam, and sandy loam with low percentages of soil moisture in all soil samples and lower bulk density values in cropland and grassland areas. The pH was alkaline and the electrical conductivity as well as the equivalent calcium carbonate content were moderate to high. Organic matter estimated using the LOI and WB methods varied in the order cropland > grassland > urban soil. The results obtained for SOC and SN indicate that cropland presented the highest stocks, followed by grassland and urban soil. The values determined for the C/N ratio were close to 10 in cropland and grassland, indicating that organic matter readily undergoes decomposition at these sites. Our results emphasize the importance of evaluating the effects and identifying the impacts of different soil management techniques, and further research is needed to better understand the potential to improve soil organic carbon and nitrogen storage in semiarid regions.

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“…Five soil samples were collected in each field, mixed, sealed in polyethylene bags, and brought back to the lab. Soil samples were dried, ground, and passed through a 0.5 mm sieve [32]. After that, each soil sample was divided into two parts: one for measuring soil EC and the other for soil spectral acquisition.…”

Section: Data Collection 221 Soil Samplingmentioning

confidence: 99%

Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral Segmentation (MGSS)

et al. 2023

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Soil salinization seriously threatens agricultural production and ecological environments in arid areas. The accurate and rapid monitoring of soil salinity and its spatial variability is of great significance for the amelioration of saline soils. In this study, 191 soil samples were collected from cotton fields in southern Xinjiang, China, to obtain spectral reflectance and electrical conductivity (EC) indoors. Then, multi-granularity spectral segmentation (MGSS) and seven conventional spectral preprocessing methods were employed to preprocess the spectral data, followed by the construction of partial least squares regression (PLSR) models for soil EC estimation. Finally, the performance of the models was compared. The results showed that compared with conventional spectral preprocessing methods, MGSS could greatly improve the correlation between spectrum and soil EC, extract the weak spectral information of soil EC, and expand the spectral utilization range. The model validation results showed that the PLSR model based on the second-order derivative (2nd-der-PLSR) had the highest estimation accuracy among the models constructed by conventional methods. However, the PLSR model based on MGSS (MGSS-PLSR) had the highest estimation accuracy among all models, with Rp2 (0.901) and RPD (3.080) being 0.151 and 1.302 higher than those of the 2nd-der-PLSR model, respectively, and nRMSEP (5.857%) being 4.29% lower than that of the 2nd-der-PLSR model. The reason for the high accuracy of the MGSS-PLSR model is as follows: In the continuous segmentation of the raw spectrum by MGSS, the bands with strong and weak correlations with respect to soil EC were concentrated during low granularity segmentation. With the increase in granularity level, the spectral features decreased and were distributed discretely. In addition, the locations of spectral features were also different at different granularity levels. Therefore, the spectral features of soil EC can be effectively extracted by the MGSS, which significantly improves the spectral estimation accuracy of soil salinity. This study provides a new technical means for soil salinity estimation in arid areas.

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Monitoring the Variations of Soil Salinity in a Palm Grove in Southern Algeria

Cited by 21 publications

References 63 publications

Spatial Distribution Mechanism of Soil Water-Salt Coupling Effect in Arid Saline-Alkali Farmland

Spatial Distribution Mechanism of Soil Water-Salt Coupling Effect in Arid Saline-Alkali Farmland

Carbon and Nitrogen Stocks in Topsoil under Different Land Use/Land Cover Types in the Southeast of Spain

Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral Segmentation (MGSS)

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