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A physical geography approach to predict vineyard occurrence using statistical methods in the Taurasi Docg Terroir (Avellino Province, southern Italy)

Bibliographic Data

ID16839948
AuthorsAntonio Cusano (0000-0002-4882-7467, University of Sannio, corresponding author), Francesco Carrer (0000-0003-4397-4502, Newcastle University), Filippo Russo (0000-0002-9457-4886, University of Sannio)
Year2025
Volume21
Issue1
Publication date2025-12-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Maps (JOURNAL)
Journal identifiersISSN: 1744-5647 • E-ISSN: 1744-5647
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17445647.2025.2525922
OpenAlexW4412796622
LanguageEN
References cited36

This study applies a geographical-physical and statistical methodology to predict vineyard distribution in the Taurasi DOCG terroir, southern Italy. Integrating morpho-topographical, climatic, and pedological data through GIS-based logistic regression, it aims to refine vineyard site selection—traditionally guided by local expertise—via scientifically validated predictive tools. The Taurasi territory, marked by pronounced lithological and topographic heterogeneity and a viticulture-favorable climate, serves as an ideal case study. The model was developed using environmental variables, optimized through stepwise selection and Variance Inflation Factor (VIF) analysis, and validated using the Receiver Operating Characteristic (ROC) curve. The resulting suitability map identifies areas most conducive to viticulture, emphasizing the importance of altitude, slope, aspect, and temperature in shaping vineyard potential. Despite sensitivity to environmental data quality, the approach demonstrates the value of integrating geospatial and statistical methods for informed spatial planning. The study reinforces the role of data-driven strategies in optimizing and sustainably managing viticultural landscapes

Archaeology · Biology · Cartography · Geography · Physical geography · Terroir · Vineyard · Horticultural and Viticultural Research · Soil erosion and sediment transport · Soil Geostatistics and Mapping

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