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Modelling the Effect of Keyline Practice on Soil Erosion Control

Author

Listed:
  • Yamuna Giambastiani

    (CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
    Bluebiloba Startup Innovativa SRL, 50126 Florence, Italy
    Environmental Modelling and Monitoring Laboratory for Sustainable Development, LaMMA Consortium, 50019 Florence, Italy)

  • Gherardo Biancofiore

    (CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
    Deafal ONG, 20124 Milano, Italy)

  • Matteo Mancini

    (Deafal ONG, 20124 Milano, Italy)

  • Antonio Di Giorgio

    (Deafal ONG, 20124 Milano, Italy)

  • Riccardo Giusti

    (CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
    Environmental Modelling and Monitoring Laboratory for Sustainable Development, LaMMA Consortium, 50019 Florence, Italy)

  • Stefano Cecchi

    (CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
    Environmental Modelling and Monitoring Laboratory for Sustainable Development, LaMMA Consortium, 50019 Florence, Italy)

  • Lorenzo Gardin

    (CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
    Environmental Modelling and Monitoring Laboratory for Sustainable Development, LaMMA Consortium, 50019 Florence, Italy)

  • Alessandro Errico

    (Bluebiloba Startup Innovativa SRL, 50126 Florence, Italy)

Abstract

The global agricultural sector needs to implement good soil management practices, in particular to prevent erosion and to improve water-retention capacity. The introduction of tillage techniques along particular theoretical lines, called keylines, can make a significant contribution to improving the management of the soil and agricultural crops. The keyline system has been around for less than 100 years. With this preliminary work, we performed a comparative analysis of two small river basins (less than 100 ha) before and after keyline application, based on GIS computational models (TWI and SIMWE). The calculation models were elaborated starting from a DTM with 2 m resolution, obtained from a LIDAR survey. The comparative analysis, in qualitative terms, showed a positive effect of the keylines, both in terms of erodibility and infiltration of runoff water. The use of GIS models to verify the effectiveness in the planning phase can constitute a decision support system that guides agronomists, technicians, and farmers.

Suggested Citation

  • Yamuna Giambastiani & Gherardo Biancofiore & Matteo Mancini & Antonio Di Giorgio & Riccardo Giusti & Stefano Cecchi & Lorenzo Gardin & Alessandro Errico, 2022. "Modelling the Effect of Keyline Practice on Soil Erosion Control," Land, MDPI, vol. 12(1), pages 1-12, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:100-:d:1017979
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    References listed on IDEAS

    as
    1. Vito Imbrenda & Rosa Coluzzi & Valerio Di Stefano & Gianluca Egidi & Luca Salvati & Caterina Samela & Tiziana Simoniello & Maria Lanfredi, 2022. "Modeling Spatio-Temporal Divergence in Land Vulnerability to Desertification with Local Regressions," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    2. Yamuna Giambastiani & Riccardo Giusti & Lorenzo Gardin & Stefano Cecchi & Maurizio Iannuccilli & Stefano Romanelli & Lorenzo Bottai & Alberto Ortolani & Bernardo Gozzini, 2022. "Assessing Soil Erosion by Monitoring Hilly Lakes Silting," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
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