IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i3p379-d1358488.html
   My bibliography  Save this article

A Systematic Review on Digital Soil Mapping Approaches in Lowland Areas

Author

Listed:
  • Odunayo David Adeniyi

    (Department of Earth and Environmental Sciences, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy)

  • Hauwa Bature

    (Department for Sustainable Development and Ecological Transition, University of Eastern Piedmont, Via Duomo 6, 13100 Vercelli, Italy)

  • Michael Mearker

    (Department of Earth and Environmental Sciences, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
    Leibniz Centre for Agricultural Landscape Research, Working Group on Soil Erosion and Feedback, Eberswalder Str. 84, 15374 Müncheberg, Germany
    Consiglio Nazionale delle Ricerche, Institute for Georesources and Geodynamics, Via Ferrata 1, 27100 Pavia, Italy)

Abstract

Digital soil mapping (DSM) around the world is mostly conducted in areas with a certain relief characterized by significant heterogeneities in soil-forming factors. However, lowland areas (e.g., plains, low-relief areas), prevalently used for agricultural purposes, might also show a certain variability in soil characteristics. To assess the spatial distribution of soil properties and classes, accurate soil datasets are a prerequisite to facilitate the effective management of agricultural areas. This systematic review explores the DSM approaches in lowland areas by compiling and analysing published articles from 2008 to mid-2023. A total of 67 relevant articles were identified from Web of Science and Scopus. The study reveals a rising trend in publications, particularly in recent years, indicative of the growing recognition of DSM’s pivotal role in comprehending soil properties in lowland ecosystems. Noteworthy knowledge gaps are identified, emphasizing the need for nuanced exploration of specific environmental variables influencing soil heterogeneity. This review underscores the dominance of agricultural cropland as a focus, reflecting the intricate relationship between soil attributes and agricultural productivity in lowlands. Vegetation-related covariates, relief-related factors, and statistical machine learning models, with random forest at the forefront, emerge prominently. The study concludes by outlining future research directions, highlighting the urgency of understanding the intricacies of lowland soil mapping for improved land management, heightened agricultural productivity, and effective environmental conservation strategies.

Suggested Citation

  • Odunayo David Adeniyi & Hauwa Bature & Michael Mearker, 2024. "A Systematic Review on Digital Soil Mapping Approaches in Lowland Areas," Land, MDPI, vol. 13(3), pages 1-22, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:379-:d:1358488
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/3/379/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/3/379/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kanat Samarkhanov & Jilili Abuduwaili & Alim Samat & Yongxiao Ge & Wen Liu & Long Ma & Zhassulan Smanov & Gabit Adamin & Azamat Yershibul & Zhassulan Sadykov, 2022. "Dimensionality-Transformed Remote Sensing Data Application to Map Soil Salinization at Lowlands of the Syr Darya River," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    2. Xiaochen Liu & Zhenxing Bian & Zhentao Sun & Chuqiao Wang & Zhiquan Sun & Shuang Wang & Guoli Wang, 2023. "Integrating Landscape Pattern Metrics to Map Spatial Distribution of Farmland Soil Organic Carbon on Lower Liaohe Plain of Northeast China," Land, MDPI, vol. 12(7), pages 1-19, July.
    3. Fuat Kaya & Ali Keshavarzi & Rosa Francaviglia & Gordana Kaplan & Levent Başayiğit & Mert Dedeoğlu, 2022. "Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus," Agriculture, MDPI, vol. 12(7), pages 1-27, July.
    4. Odunayo David Adeniyi & Alexander Brenning & Alice Bernini & Stefano Brenna & Michael Maerker, 2023. "Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy," Land, MDPI, vol. 12(2), pages 1-17, February.
    5. Montanarella, Luca & Panagos, Panos, 2021. "The relevance of sustainable soil management within the European Green Deal," Land Use Policy, Elsevier, vol. 100(C).
    Full references (including those not matched with items on IDEAS)

    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. Dorijan Radočaj & Mateo Gašparović & Mladen Jurišić, 2024. "Open Remote Sensing Data in Digital Soil Organic Carbon Mapping: A Review," Agriculture, MDPI, vol. 14(7), pages 1-18, June.
    2. Sergio Cappucci & Serena Nappi & Andrea Cappelli, 2022. "Green Public Areas and Urban Open Spaces Management: New GreenCAL Tool Algorithms and Circular Economy Implications," Land, MDPI, vol. 11(6), pages 1-25, June.
    3. Tomasz Jałowiec & Henryk Wojtaszek, 2021. "Analysis of the RES Potential in Accordance with the Energy Policy of the European Union," Energies, MDPI, vol. 14(19), pages 1-33, September.
    4. Lea Piscitelli & Annalisa De Boni & Rocco Roma & Giovanni Ottomano Palmisano, 2023. "Carbon Farming: How to Support Farmers in Choosing the Best Management Strategies for Low-Impact Food Production," Land, MDPI, vol. 13(1), pages 1-16, December.
    5. Marek Zieliński & Piotr Koza & Artur Łopatka, 2022. "Agriculture from Areas Facing Natural or Other Specific Constraints (ANCs) in Poland, Its Characteristics, Directions of Changes and Challenges in the Context of the European Green Deal," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    6. Daniela Bona & Andrea Cristoforetti & Roberto Zanzotti & Daniela Bertoldi & Nicole Dellai & Silvia Silvestri, 2022. "Matured Manure and Compost from the Organic Fraction of Solid Waste Digestate Application in Intensive Apple Orchards," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    7. Grażyna Żukowska & Magdalena Myszura-Dymek & Szymon Roszkowski & Magdalena Olkiewicz, 2023. "Selected Properties of Soil-like Substrates Made from Mine Coal Waste and Their Effect on Plant Yields," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    8. Jonas Volungevicius & Kristina Amaleviciute-Volunge, 2023. "A Conceptual Approach to the Histosols Profile Morphology as a Risk Indicator in Assessing the Sustainability of Their Use and Impact on Climate Change," Sustainability, MDPI, vol. 15(18), pages 1-14, September.
    9. Teresa Rodríguez-Espinosa & Jose Navarro-Pedreño & Ignacio Gómez Lucas & María Belén Almendro Candel & Ana Pérez Gimeno & Manuel Jordán Vidal & Iliana Papamichael & Antonis A. Zorpas, 2022. "Environmental Risk from Organic Residues," Sustainability, MDPI, vol. 15(1), pages 1-12, December.
    10. Barbara Breza-Boruta & Justyna Bauza-Kaszewska, 2023. "Effect of Microbial Preparation and Biomass Incorporation on Soil Biological and Chemical Properties," Agriculture, MDPI, vol. 13(5), pages 1-19, April.
    11. Stefan Krajewski & Jan Žukovskis & Dariusz Gozdowski & Marek Cieśliński & Elżbieta Wójcik-Gront, 2024. "Evaluating the Path to the European Commission’s Organic Agriculture Goal: A Multivariate Analysis of Changes in EU Countries (2004–2021) and Socio-Economic Relationships," Agriculture, MDPI, vol. 14(3), pages 1-18, March.
    12. Aldo Dal Prà & Francesca Ugolini & Martino Negri & Sara Bortolu & Pierpaolo Duce & Cristina Macci & Andrea Lombardo & Martina Benedetti & Giovanni Brajon & Lucia Guazzini & Stefano Casini & Sara Spagn, 2024. "Wool Agro-Waste Biomass and Spruce Sawdust: Pellets as an Organic Soil Amendment," Sustainability, MDPI, vol. 16(6), pages 1-14, March.
    13. Orestis Kairis & Chrysoula Aratzioglou & Athanasios Filis & Michel van Mol & Costas Kosmas, 2021. "The Effect of Land Management Practices on Soil Quality Indicators in Crete," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    14. Xiangjuan Liu & Qiaonan Yang & Rurou Yang & Lin Liu & Xibing Li, 2024. "Corn Yield Prediction Based on Dynamic Integrated Stacked Regression," Agriculture, MDPI, vol. 14(10), pages 1-18, October.
    15. Jagoda Zmyślona & Arkadiusz Sadowski & Natalia Genstwa, 2023. "Plant Protection and Fertilizer Use Efficiency in Farms in a Context of Overinvestment: A Case Study from Poland," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
    16. Carina Lackmann & Antonio Šimić & Sandra Ečimović & Alma Mikuška & Thomas-Benjamin Seiler & Henner Hollert & Mirna Velki, 2023. "Subcellular Responses and Avoidance Behavior in Earthworm Eisenia andrei Exposed to Pesticides in the Artificial Soil," Agriculture, MDPI, vol. 13(2), pages 1-15, January.
    17. Gyula Nagy & Soma Ádám Heiner & Zoltán Kovács, 2025. "Exploring the Presence and Absence of Academic Discourse on Public Participation in the European Green Deal: A Central and Eastern European Perspective," Societies, MDPI, vol. 15(3), pages 1-24, February.
    18. Marinos Stylianou & Iliana Papamichael & Irene Voukkali & Michail Tsangas & Michalis Omirou & Ioannis M. Ioannides & Antonis A. Zorpas, 2023. "LCA of Barley Production: A Case Study from Cyprus," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    19. Sartori, Martina & Ferrari, Emanuele & M'Barek, Robert & Philippidis, George & Boysen-Urban, Kirsten & Borrelli, Pasquale & Montanarella, Luca & Panagos, Panos, 2024. "Remaining Loyal to Our Soil: A Prospective Integrated Assessment of Soil Erosion on Global Food Security," Ecological Economics, Elsevier, vol. 219(C).
    20. Hao Li & Yi Chen & Wei-Yew Chang, 2023. "Place Attachment, Self-Efficacy, and Farmers’ Farmland Quality Protection Behavior: Evidence from China," Land, MDPI, vol. 12(9), pages 1-19, September.

    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:jlands:v:13:y:2024:i:3:p:379-:d:1358488. 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.