(Article of periodic en Anglais - 2013)

Document title

Studying the relationship between water-induced soil erosion and soil organic matter using Vis–NIR spectroscopy and geomorphological analysis : A case study in southern Italy

Authors(s) and Affiliation(s)

(1) CNR - Inst. for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Rende, ITALIE
(2) CNR - Inst. for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Ercolano, ITALIE
(3) Dip. DiSAM, Univ. degli Studi di Napoli, Napoli, ITALIE
(4) Dip. di Biologia, Ecologia e Scienze della Terra (DiBEST), Univ. della Calabria, Rende, ITALIE


The AA. focused on : (1) using of the laboratory-based, proximally sensed in the visible-near-infrared (Vis-NIR, 400-2500 nm) spectral range to predict SOM content in the study area; (2) combining soil spectroscopy and geostatistics for mapping SOM content; (3) mapping zones affected by water erosion processes in the study area; and (4) analyzing the relationship among soil erosion, SOM and soil spectral data. The study was performed in the Turbolo catchment, located in northern Calabria. Areas affected by water erosion processes (sheet wash and/or rill and gully erosions) were detected through air-photo interpretation and field surveys. Topsoil samples from 215 locations in different soil types and erosion conditions were collected. 54 samples were used as validation set. The optimum number of factors to retain in the calibration model was determined by cross validation. The results showed that zones with low content of SOM are affected by water erosion processes


Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2013, vol. 110 [pp. 44-58]

Bibliographic references : 2 p.

Collation : 15 fig., 4 tabl.



INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2013.06.013

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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