Abstract
SOC is the most important indicator of soil fertility and monitoring its space-time changes is a prerequisite to establish strategies to reduce soil loss and preserve its quality. Here we modelled the topsoil (0–0.3m) SOC concentration of the cultivated area of Sicily in 1993 and 2008. Sicily is an extremely variable region with a high number of ecosystems, soils, and microclimates. We studied the role of time and land use in the modelling of SOC, and assessed the role of remote sensing (RS) covariates in the boosted regression trees modelling. The models obtained showed a high pseudo-R2 (0.63–0.69) and low uncertainty (s.d.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 821-821 |
| Number of pages | 1 |
| Journal | Science of The Total Environment |
| Volume | 601-602 |
| DOIs | |
| State | Published - Jun 2 2017 |
Bibliographical note
KAUST Repository Item: Exported on 2019-02-13Acknowledgements: The authors are grateful to Maria Gabriella Matranga, Vito Ferraro and Fabio Guaitoli from the Regional Bureau for Agriculture, rural Development and Mediterranean Fishery, the Department of Agriculture, Service 7 UOS7.03 Geographical Information Systems, Cartography and Broadband Connection in Agriculture, Palermo. The authors also thank three anonymous reviewers for their constructive comments, which helped to improve the manuscript.
