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Assessment of Soil Fertility Status under Soil Degradation Rate Using Geomatics in West Nile Delta

Author

Listed:
  • Mohamed A. E. AbdelRahman

    (Division of Environmental Studies and Land Use, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, Egypt)

  • Mohamed M. Metwaly

    (Data Reception, Analysis and Receiving Station Affairs Division, National Authority for Remote Sensing and Space Sciences, Cairo 11769, Egypt)

  • Ahmed A. Afifi

    (Soils and Water Use Department, National Research Centre, Giza 12622, Egypt)

  • Paola D’Antonio

    (Scuola di Scienze Agrarie, Forestali, Alimentari ed Ambientali (SAFE), Università degli Studi della Basilicata, Viale dell’Ateneo Lucano, 10, 85100 Potenza, Italy)

  • Antonio Scopa

    (Scuola di Scienze Agrarie, Forestali, Alimentari ed Ambientali (SAFE), Università degli Studi della Basilicata, Viale dell’Ateneo Lucano, 10, 85100 Potenza, Italy)

Abstract

The presence of a noticeable rate of degradation in the land of the Nile Delta reduces the efficiency of crop production and hinders supply of the increasing demand of its growing population. For this purpose, knowledge of soil resources and their agricultural potential is important for determining their proper use and appropriate management. Thus, we investigated the state of soil fertility by understanding the effect of the physical and chemical properties of the soil and their impact on the state of land degradation for the years 1985, 2002 (ancillary data), and 2021 (our investigation). The study showed that there are clear changes in the degree of soil salinity as a result of agricultural management, water conditions, and climatic changes. The soil fertility is obtained in four classes: Class one (I) represents soils of a good fertility level with an area of about 39%. Class two (II) includes soils of an average fertility level, on an area of about 7%. Class three (III) includes soils with a poor level of fertility, with an area of about 17%. Class four (IV) includes soils of a very poor level of fertility with an area of about 37% of the total area. Principal component analysis (PCA) has revealed that the parameters that control fertility in the studied soils are: C/N, pH, Ca, CEC, OM, P, and Mg. Agro-pedo-ecological units are important units for making appropriate agricultural decisions in the long term, which contribute to improving soil quality and thus increasing the efficiency of soil fertility processes.

Suggested Citation

  • Mohamed A. E. AbdelRahman & Mohamed M. Metwaly & Ahmed A. Afifi & Paola D’Antonio & Antonio Scopa, 2022. "Assessment of Soil Fertility Status under Soil Degradation Rate Using Geomatics in West Nile Delta," Land, MDPI, vol. 11(8), pages 1-23, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1256-:d:881776
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    References listed on IDEAS

    as
    1. Kotb, Tarek H. S. & Watanabe, Tsugihiro & Ogino, Yoshihiko & Tanji, Kenneth K., 2000. "Soil salinization in the Nile Delta and related policy issues in Egypt," Agricultural Water Management, Elsevier, vol. 43(2), pages 239-261, March.
    2. Badr, M.A. & El-Tohamy, W.A. & Zaghloul, A.M., 2012. "Yield and water use efficiency of potato grown under different irrigation and nitrogen levels in an arid region," Agricultural Water Management, Elsevier, vol. 110(C), pages 9-15.
    3. Hesham M. Aboelsoud & Mohamed A. E. AbdelRahman & Ahmed M. S. Kheir & Mona S. M. Eid & Khalil A. Ammar & Tamer H. Khalifa & Antonio Scopa, 2022. "Quantitative Estimation of Saline-Soil Amelioration Using Remote-Sensing Indices in Arid Land for Better Management," Land, MDPI, vol. 11(7), pages 1-19, July.
    4. Maria Rosaria Guarini & Fabrizio Battisti & Anthea Chiovitti, 2018. "A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes," Sustainability, MDPI, vol. 10(2), pages 1-28, February.
    5. Rattan Lal, 2015. "Restoring Soil Quality to Mitigate Soil Degradation," Sustainability, MDPI, vol. 7(5), pages 1-21, May.
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    Cited by:

    1. Anuj Saraswat & Shri Ram & Mohamed A. E. AbdelRahman & Md Basit Raza & Debasis Golui & Hombegowda HC & Pramod Lawate & Sonal Sharma & Amit Kumar Dash & Antonio Scopa & Mohammad Mahmudur Rahman, 2023. "Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India," Land, MDPI, vol. 12(4), pages 1-18, April.

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