Spatial data fusion and analysis for soil characterization:a case study in a coastal basin of south-western Sicily (southern Italy)

Giuseppa Crescimanno, Giuseppe Provenzano, Domenico Ventrella, Donato Sollitto, Daniela De Benedetto, Annamaria Castrignanò

Risultato della ricerca: Articlepeer review


Salinization is one of the most serious problems confronting sustainableagriculture in semi-arid and arid regions. Accurate mappingof soil salinization and the associated risk represent a fundamentalstep in planning agricultural and remediation activities. Geostatisticalanalysis is very useful for soil quality assessment because it makes itpossible to determine the spatial relationships between selected variablesand to produce synthetic maps of spatial variation. The mainobjective of this paper was to map the soil salinization risk in theDelia-Nivolelli alluvial basin (south-western Sicily, southern Italy),using multivariate geostatistical techniques and a set of topographical,physical and soil hydraulic properties. Elevation data were collectedfrom existing topographic maps and analysed preliminarily to improvethe estimate precision of sparsely sampled primary variables. Forinterpolation multi-collocated cokriging was applied to the dataset,including textural and hydraulic properties and electrical conductivitymeasurements carried out on 128 collected soil samples, using elevationdata as auxiliary variable. Spatial dependence among elevationand physical soil properties was explored with factorial kriging analysis(FKA) that could isolate and display the sources of variation actingat different spatial scales. FKA isolated significant regionalised factorswhich give a concise description of the complex soil physical variabilityat the different selected spatial scales. These factors mapped,allowed the delineation of zones at different salinisation risk to bemanaged separately to control and prevent salinization risk. The proposed methodology could be a valid support for land use and soil remediation planning at regional scale.
Lingua originaleEnglish
pagine (da-a)19-27
Numero di pagine9
Volumevolume 7:e4
Stato di pubblicazionePublished - 2012

All Science Journal Classification (ASJC) codes

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