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Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions

Shokr, Mohamed S. and Abdellatif, Mostafa A. and El Baroudy, Ahmed A. and Elnashar, Abdelrazek and Ali, Esmat F. and Belal, Abdelaziz A. and Attia, Wael and Ahmed, Mukhtar and Aldosari, Ali A. and Szantoi, Zoltan and Kheir, Ahmed M. S. (2021). Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions. Sustainability. 13 , 2893
[Research article]

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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 km(2) (22.7%), high-quality class occupies 441.72 km(2) (25.87%), the moderate-quality class represents 208.57 km(2) (12.21%), slightly moderate-quality class represents 231.10 km(2) (13.5%), as well as, a low-quality class covering an area of 233 km(2) (13.60%), and very low-quality class occupies about 206 km(2) (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 km(2) (13.50%), 291.94 km(2) (17%), 767.39 km(2) (44.94%), and 416.07 km(2) (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 R-2 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.

Authors/Creators:Shokr, Mohamed S. and Abdellatif, Mostafa A. and El Baroudy, Ahmed A. and Elnashar, Abdelrazek and Ali, Esmat F. and Belal, Abdelaziz A. and Attia, Wael and Ahmed, Mukhtar and Aldosari, Ali A. and Szantoi, Zoltan and Kheir, Ahmed M. S.
Title:Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions
Series Name/Journal:Sustainability
Year of publishing :2021
Volume:13
Article number:2893
Number of Pages:15
Publisher:MDPI
ISSN:2071-1050
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507)
Keywords:spatial modeling, land capability, ALESarid, GIS, remote sensing, NDVI
URN:NBN:urn:nbn:se:slu:epsilon-p-111362
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-111362
Additional ID:
Type of IDID
DOI10.3390/su13052893
Web of Science (WoS)000628615500001
ID Code:23264
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Agricultural Research for Northern Sweden
(VH) > Dept. of Agricultural Research for Northern Sweden
Deposited By: SLUpub Connector
Deposited On:14 Apr 2021 11:44
Metadata Last Modified:14 Apr 2021 11:51

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