Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing data to modelling

Calogero Schillaci, Marco Acutis, Luigi Lombardo, Aldo Lipani, Maria Fantappiè, Michael Märker, Sergio Saia

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

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 languageEnglish (US)
Pages (from-to)821-821
Number of pages1
JournalScience of The Total Environment
Volume601-602
DOIs
StatePublished - Jun 2 2017

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