Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture

Egypt is currently witnessing an extensive desert greening plan with a target of adding one and a half million feddans to the agricultural area. The present study evaluates the soil quality in the western desert fringes of the Nile Delta using three indicator datasets, which involve the total datase...

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Main Authors: Ahmed M. Saleh, Mohamed M. Elsharkawy, Mohamed A. E. AbdelRahman, Sayed M. Arafat
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Applied and Environmental Soil Science
Online Access:http://dx.doi.org/10.1155/2021/1434692
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author Ahmed M. Saleh
Mohamed M. Elsharkawy
Mohamed A. E. AbdelRahman
Sayed M. Arafat
author_facet Ahmed M. Saleh
Mohamed M. Elsharkawy
Mohamed A. E. AbdelRahman
Sayed M. Arafat
author_sort Ahmed M. Saleh
collection DOAJ
description Egypt is currently witnessing an extensive desert greening plan with a target of adding one and a half million feddans to the agricultural area. The present study evaluates the soil quality in the western desert fringes of the Nile Delta using three indicator datasets, which involve the total dataset (TDS), the minimum dataset (MDS), and the expert dataset (EDS). Three quality index models are included: the Additive Soil Quality Index (SQI-A), the Weighted Additive Soil Quality Index (SQI-W), and the Nemoro Soil Quality Index (SQI-N). Linear and nonlinear scoring functions are evaluated for scoring soil and terrain indicators. Thirteen soil quality indicators and three terrain indicators were measured in 397 sampling sites for soil quality evaluation. Factor analyses determined five soil and terrain indicators for the minimum dataset and their associated weights. The linear scoring functions reflected the soil system functions more than nonlinear scoring functions. Soil quality estimation by the minimum dataset (MDS) and Weighted Additive Soil Quality Index (SQI-W) is more sensitive than that by SQI-A and SQI-N quality models to explain soil quality indicators. The moderate soil quality grade is the largest quality grade in the studied area. The minimum dataset of soil quality indicators could assist in reducing time and cost of evaluating soil quality and monitoring the temporal changes in soil quality of the region due to the increased agricultural development.
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publishDate 2021-01-01
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spelling doaj-art-1b7b3edba7b44eca8f9d4ba7757102572025-02-03T01:24:48ZengWileyApplied and Environmental Soil Science1687-76671687-76752021-01-01202110.1155/2021/14346921434692Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable AgricultureAhmed M. Saleh0Mohamed M. Elsharkawy1Mohamed A. E. AbdelRahman2Sayed M. Arafat3Division of Agricultural Applications,Soils,and Marine Sciences, National Authority for Remote Sensing and Space Sciences, Cairo, EgyptSoils Department, Faculty of Agriculture, Beni Suef University, Beni Suef, EgyptDivision of Environmental Studies and Land Use, National Authority for Remote Sensing and Space Sciences, Cairo, EgyptDivision of Agricultural Applications,Soils,and Marine Sciences, National Authority for Remote Sensing and Space Sciences, Cairo, EgyptEgypt is currently witnessing an extensive desert greening plan with a target of adding one and a half million feddans to the agricultural area. The present study evaluates the soil quality in the western desert fringes of the Nile Delta using three indicator datasets, which involve the total dataset (TDS), the minimum dataset (MDS), and the expert dataset (EDS). Three quality index models are included: the Additive Soil Quality Index (SQI-A), the Weighted Additive Soil Quality Index (SQI-W), and the Nemoro Soil Quality Index (SQI-N). Linear and nonlinear scoring functions are evaluated for scoring soil and terrain indicators. Thirteen soil quality indicators and three terrain indicators were measured in 397 sampling sites for soil quality evaluation. Factor analyses determined five soil and terrain indicators for the minimum dataset and their associated weights. The linear scoring functions reflected the soil system functions more than nonlinear scoring functions. Soil quality estimation by the minimum dataset (MDS) and Weighted Additive Soil Quality Index (SQI-W) is more sensitive than that by SQI-A and SQI-N quality models to explain soil quality indicators. The moderate soil quality grade is the largest quality grade in the studied area. The minimum dataset of soil quality indicators could assist in reducing time and cost of evaluating soil quality and monitoring the temporal changes in soil quality of the region due to the increased agricultural development.http://dx.doi.org/10.1155/2021/1434692
spellingShingle Ahmed M. Saleh
Mohamed M. Elsharkawy
Mohamed A. E. AbdelRahman
Sayed M. Arafat
Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture
Applied and Environmental Soil Science
title Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture
title_full Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture
title_fullStr Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture
title_full_unstemmed Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture
title_short Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture
title_sort evaluation of soil quality in arid western fringes of the nile delta for sustainable agriculture
url http://dx.doi.org/10.1155/2021/1434692
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