Abstract
Food security has become a global concern for humanity with rapid population growth, requiring a sustainable assessment of natural resources. Soil is one of the most important sources that can help to bridge the food demand gap to achieve food security if well assessed and managed. The aim of this study was to determine the soil quality index (SQI) for El Fayoum depression in the Western Egyptian Desert using spatial modeling for soil physical, chemical, and biological properties based on the MEDALUS methodology. For this purpose, a spatial model was developed to evaluate the soil quality of the El Fayoum depression in the Western Egyptian Desert. The integration between Digital Elevation Model (DEM) and Sentinel-2 satellite image was used to produce landforms and digital soil mapping for the study area. Results showed that the study area located under six classes of soil quality, e.g., very high-quality class represents an area of 387.12 km2 (22.7%), high-quality class occupies 441.72 km2 (25.87%), the moderate-quality class represents 208.57 km2 (12.21%), slightly moderate-quality class represents 231.10 km2 (13.5%), as well as, a low-quality class covering an area of 233 km2 (13.60%), and very low-quality class occupies about 206 km2 (12%). The Agricultural Land Evaluation System for arid and semi-arid regions (ALESarid) was used to estimate land capability. Land capability classes were non-agriculture class (C6), poor (C4), fair (C3), and good (C2) with an area 231.87 km2 (13.50%), 291.94 km2 (17%), 767.39 km2 (44.94%), and 416.07 km2 (24.4%), respectively. Land capability along with the normalized difference vegetation index (NDVI) used for validation of the proposed model of soil quality. The spatially-explicit soil quality index (SQI) shows a strong significant positive correlation with the land capability and a positive correlation with NDVI at R2 0.86 (p < 0.001) and 0.18 (p < 0.05), respectively. In arid regions, the strategy outlined here can easily be re-applied in similar environments, allowing decision-makers and regional governments to use the quantitative results achieved to ensure sustainable development.
Highlights
Soil quality (SQ) is one of the most common concepts that has emerged over the last decades and has been used to assess soil under different systems [1,2,3]
The results show that the main landscapes in the area studied were interpretation from the integration between satellite image and Digital Elevation Model (DEM) with the assistance alluvial, lacustrine, andand river-lacustrine
The results showed that most of the study area located under fair class representing 44.9% of the total area, which means that these soils are suitable for cultivation over a long period, but they have some hazards and limitations of some units, which cause an increase in soil reaction in addition to the sandy texture of some mapping units
Summary
Soil quality (SQ) is one of the most common concepts that has emerged over the last decades and has been used to assess soil under different systems [1,2,3]. The judgment of SQ depends on impacts of soil on crop yield, erosion, and quality of surface and ground, food, and air [4]. The meaning of the soil quality index (SQI) is the ability of the soil to function within an ecosystem boundary, whether managed or natural, and to achieve sustainability of crop productivity while maintaining soil from degradation processes [5,6]. The assessment of SQ is considered the basis for monitoring and maintaining the sustainability of agricultural systems [10]
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