RT Journal Article
SR Electronic
T1 A Multivariate Clustering Approach for the Characterization of the Montepulciano d’Abruzzo Colline Teramane Area
JF American Journal of Enology and Viticulture
JO Am. J. Enol. Vitic.
FD American Society for Enology and Viticulture
SP ajev.2010.10008
DO 10.5344/ajev.2010.10008
A1 Jose C. Herrera Nuñez
A1 Solange Ramazzotti
A1 Fabio Stagnari
A1 Michele Pisante
YR 2011
UL http://www.ajevonline.org/content/early/2011/02/23/ajev.2010.10008.abstract
AB A multivariate clustering approach combined with geomatics was applied to delineate and define homogeneous zones (terroir units), within the premium Denomination of Guaranteed Origin (DOCG) Colline Teramane wine-growing area, in the Teramo Province (Italy). A geographical information system (GIS) architecture was set up to incorporate the main factors affecting the geographical differentiation of land capability. Vine-related environmental indices and parameters were interpolated and incorporated in the GIS. A principal component analysis followed by a multivariate clustering algorithm was applied to obtain a continuous topography-climate map, in which each cluster represented an homogeneous zone or terroir unit. Further characterization of the terroir units was then obtained by overlaying the topography-climate map with land use information and a geologic map of the same area. This territory classification provides a useful framework for further hypotheses testing, in particular vine interaction with environment or new cultivars suitability. Moreover, the approach represents a potential tool for rational territory management and land use planning.