Soil erosion modelling: A global review and statistical analysis

• Main Authors: Borrelli, Pasquale, Panagos, Panos, Panday, Dinesh, co-authors, 64 more
• Format: Text
• Language: unknown
• Published: DigitalCommons@University of Nebraska - Lincoln 2021
• Subjects: Erosion rates; Modelling; GIS; Land sustainability; Land degradation; Policy support; Agricultural Science; Agriculture; Agronomy and Crop Sciences; Botany; Horticulture; Life Sciences; Other Plant Sciences; Plant Biology; Plant Sciences; Andreas; Alvarez; Pablo; Gentile; Antarc*; Antarctica
• Online Access: https://digitalcommons.unl.edu/agronomyfacpub/1437; https://digitalcommons.unl.edu/context/agronomyfacpub/article/2426/viewcontent/Borelli_STE_2021_Soil_erosion_modelling.pdf

To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017.We aimed to identify (i) the processes and models most frequently addressed in...