Modelling the Effect of Keyline Practice on Soil Erosion Control

Yamuna Giambastiani (), Gherardo Biancofiore, Matteo Mancini, Antonio Di Giorgio, Riccardo Giusti, Stefano Cecchi, Lorenzo Gardin and Alessandro Errico
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Yamuna Giambastiani: CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
Gherardo Biancofiore: CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, 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
Stefano Cecchi: CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
Lorenzo Gardin: CNR-IBE, National Research Council, Institute of Bioeconomy, 50019 Florence, Italy
Alessandro Errico: Bluebiloba Startup Innovativa SRL, 50126 Florence, Italy

Land, 2022, vol. 12, issue 1, 1-12

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.

Keywords: remote sensing; GIS model; TWI; SIMWE; water regulation; cropland (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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