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dc.contributor.authorSchillaci, Calogero
dc.contributor.authorAcutis, Marco
dc.contributor.authorLombardo, Luigi
dc.contributor.authorLipani, Aldo
dc.contributor.authorFantappiè, Maria
dc.contributor.authorMärker, Michael
dc.contributor.authorSaia, Sergio
dc.date.accessioned2017-06-21T06:48:05Z
dc.date.available2017-06-21T06:48:05Z
dc.date.issued2017-06-02
dc.identifier.citationSchillaci C, Acutis M, Lombardo L, Lipani A, Fantappiè M, et al. (2017) 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. Science of The Total Environment 601-602: 821–832. Available: http://dx.doi.org/10.1016/j.scitotenv.2017.05.239.
dc.identifier.issn0048-9697
dc.identifier.pmid28578240
dc.identifier.doi10.1016/j.scitotenv.2017.05.239
dc.identifier.urihttp://hdl.handle.net/10754/625113
dc.description.abstractSOC 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.<0.76gCkg−1 with RS, and <1.25gCkg−1 without RS). These outputs allowed depicting a time variation of SOC at 1arcsec. SOC estimation strongly depended on the soil texture, land use, rainfall and topographic indices related to erosion and deposition. RS indices captured one fifth of the total variance explained, slightly changed the ranking of variance explained by the non-RS predictors, and reduced the variability of the model replicates. During the study period, SOC decreased in the areas with relatively high initial SOC, and increased in the area with high temperature and low rainfall, dominated by arables. This was likely due to the compulsory application of some Good Agricultural and Environmental practices. These results confirm that the importance of texture and land use in short-term SOC variation is comparable to climate. The present results call for agronomic and policy intervention at the district level to maintain fertility and yield potential. In addition, the present results suggest that the application of RS covariates enhanced the modelling performance.
dc.description.sponsorshipThe 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.
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0048969717313475
dc.subjectSOC mapping
dc.subjectSpace-time SOC variation
dc.subjectAgro-ecosystems
dc.subjectR programming
dc.subjectDigital soil mapping
dc.subjectLegacy dataset
dc.titleSpatio-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
dc.typeArticle
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalScience of The Total Environment
dc.contributor.institutionDepartment of Agricultural and Environmental Science, University of Milan, Italy
dc.contributor.institutionDepartment of Geosciences, University of Tübingen, Germany
dc.contributor.institutionInstitute of Software Technology and Interactive Systems, TU Wien, Austria
dc.contributor.institutionCouncil for Agricultural Research and Economics (CREA), Centre for Agrobiology and Pedology (CREA-ABP), Florence, Italy
dc.contributor.institutionDepartment of Earth and Environmental Sciences, University of Pavia, Italy
dc.contributor.institutionCouncil for Agricultural Research and Economics (CREA), Cereal Research Centre (CREA-CER), Foggia, Italy
kaust.personLombardo, Luigi


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