IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2020i1p194-d469256.html
   My bibliography  Save this article

Deciphering Soil Spatial Variability through Geostatistics and Interpolation Techniques

Author

Listed:
  • Mohamed A. E. AbdelRahman

    (National Authority for Remote Sensing and Space Sciences, Cairo 11769, Egypt)

  • Yasser M. Zakarya

    (Faculty of Agriculture, Ain-Shams University, Shubra Gardens 11241, Egypt)

  • Mohamed M. Metwaly

    (National Authority for Remote Sensing and Space Sciences, Cairo 11769, Egypt)

  • Georgios Koubouris

    (Institute for Olive Tree, Subtropical Crops and Viticulture, ELGO DEMETER, Agrokipio, 73100 Chania, Greece)

Abstract

Detailed knowledge of soil properties is fundamentally important for optimizing agriculture practices and management. Meanwhile, the spatial distribution of soil physicochemical properties is considered a fundamental input of any sustainable agricultural planning. In the present study, ordinary kriging, regression kriging and IDW were chosen for deciphering soil spatial variability and mapping soil properties in a reclaimed area of the Behera Governorate of Egypt where soil arose from two different types, one sandstone and the other limestone. Geostatistics were used to show the interrelationships and conditions of soil properties (available phosphorus, potassium and nitrogen, EC, pH, Sp, ESP, CEC, OC, SAR, and CaCO 3 ). The results of mapping spatial soil variability by Geostatistics could be used for precision agriculture applications. Based on the soil test results, nutrient management recommendations should be applied regarding variable rates of fertilizers. The performance of the maps was evaluated using Mean square error (MSE). Inverse distance weight (IDW) showed higher efficiency than Kriging as a prediction method for mapping the studied soil properties in the study area. The results of the present study suggest that the application of the selected fit model worldwide in any relevant study of soil properties of different geological sources is feasible.

Suggested Citation

  • Mohamed A. E. AbdelRahman & Yasser M. Zakarya & Mohamed M. Metwaly & Georgios Koubouris, 2020. "Deciphering Soil Spatial Variability through Geostatistics and Interpolation Techniques," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:194-:d:469256
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/194/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/1/194/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Runhong Liu & Yuanfang Pan & Han Bao & Shichu Liang & Yong Jiang & Hongrun Tu & Juanli Nong & Wanqing Huang, 2020. "Variations in Soil Physico-Chemical Properties along Slope Position Gradient in Secondary Vegetation of the Hilly Region, Guilin, Southwest China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    2. Xueling Yao & Bojie Fu & Yihe Lü & Feixiang Sun & Shuai Wang & Min Liu, 2013. "Comparison of Four Spatial Interpolation Methods for Estimating Soil Moisture in a Complex Terrain Catchment," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-13, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesús Barrena-González & Joaquín Francisco Lavado Contador & Manuel Pulido Fernández, 2022. "Mapping Soil Properties at a Regional Scale: Assessing Deterministic vs. Geostatistical Interpolation Methods at Different Soil Depths," Sustainability, MDPI, vol. 14(16), pages 1-20, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mulenga Kalumba & Edwin Nyirenda & Imasiku Nyambe & Stefaan Dondeyne & Jos Van Orshoven, 2022. "Machine Learning Techniques for Estimating Hydraulic Properties of the Topsoil across the Zambezi River Basin," Land, MDPI, vol. 11(4), pages 1-22, April.
    2. Beata Ferencz & Jarosław Dawidek, 2021. "Assessment of Spatial and Vertical Variability of Water Quality: Case Study of a Polymictic Polish Lake," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    3. Yasser M. Zakarya & Mohamed M. Metwaly & Mohamed A. E. AbdelRahman & Mohamed R. Metwalli & Georgios Koubouris, 2021. "Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    4. Prashant K. Srivastava & Prem C. Pandey & George P. Petropoulos & Nektarios N. Kourgialas & Varsha Pandey & Ujjwal Singh, 2019. "GIS and Remote Sensing Aided Information for Soil Moisture Estimation: A Comparative Study of Interpolation Techniques," Resources, MDPI, vol. 8(2), pages 1-17, April.
    5. Jesús Barrena-González & Joaquín Francisco Lavado Contador & Manuel Pulido Fernández, 2022. "Mapping Soil Properties at a Regional Scale: Assessing Deterministic vs. Geostatistical Interpolation Methods at Different Soil Depths," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    6. Yanto & Arwan Apriyono & Purwanto Bekti Santoso & Sumiyanto, 2022. "Landslide susceptible areas identification using IDW and Ordinary Kriging interpolation techniques from hard soil depth at middle western Central Java, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1405-1416, January.
    7. Darren Norris & Marie-Josée Fortin & William E Magnusson, 2014. "Towards Monitoring Biodiversity in Amazonian Forests: How Regular Samples Capture Meso-Scale Altitudinal Variation in 25 km2 Plots," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-9, August.
    8. Choudhury, Malini Roy & Mellor, Vincent & Das, Sumanta & Christopher, Jack & Apan, Armando & Menzies, Neal W. & Chapman, Scott & Dang, Yash P., 2021. "Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics," Agricultural Water Management, Elsevier, vol. 255(C).
    9. Erika Gömöryová & Viliam Pichler & Ján Merganič & Peter Fleischer & Marián Homolák, 2022. "Changes of Soil Properties along the Altitudinal Gradients in Subarctic Mountain Landscapes of Putorana Plateau, Central Siberia," Land, MDPI, vol. 11(1), pages 1-15, January.
    10. Theophilus Atio Abalori & Wenxia Cao & Conrad Atogi-Akwoa Weobong & Wen Li & Shilin Wang & Xiuxia Deng, 2022. "Spatial Vegetation Patch Patterns and Their Relation to Environmental Factors in the Alpine Grasslands of the Qilian Mountains," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    11. Mohamed S. Shokr & Mostafa. A. Abdellatif & Ahmed A. El Baroudy & Abdelrazek Elnashar & Esmat F. Ali & Abdelaziz A. Belal & Wael. Attia & Mukhtar Ahmed & Ali A. Aldosari & Zoltan Szantoi & Mohamed E. , 2021. "Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions," Sustainability, MDPI, vol. 13(5), pages 1-15, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:194-:d:469256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.