GIS and fuzzy logics in establishing new potential areas for winter wines (Syrah cv.) cultivation in tropical conditions of southeastern Brazil

• Published in: Applied geography (Sevenoaks) Vol. 141; p. 102680
• Main Authors: Marcolino Gonçalves, Mariana Gabriele, Alves Caldeira Brant, Luciana, Vieira da Mota, Renata, Peregrino, Isabela, Rita de Souza, Claudia, de Albuquerque Regina, Murillo, Vasconcellos Inda Junior, Alberto, Fruett dos Santos, Tatiele, Procópio Pelegrino, Marcelo Henrique, Curi, Nilton, Duarte de Menezes, Michele
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-04-2022
• Subjects: Soil mapping; Wine tipicity; Winter wines; Winter wines; Wine tipicity; Soil mapping
• ISSN: 0143-6228; 1873-7730
• DOI: 10.1016/j.apgeog.2022.102680

Typicity is an important aspect to assist the expansion of vitiviniculture frontiers in the southeastern region of Brazil, reflecting the wine origins and the signature characteristics of the grape and wines. Considering environmental and human factors related to wine tipicity characterization, this work aimed to applied the framework of geographic information system (GIS) with fuzzy logics to characterize and to search for mapping unit-like areas that encompass two commercial vineyards (Syrah cv) in a provenance area. Information of soil, geology, relief, climate, grape, and wine were obtained in two commercial vineyards (reference), and linked though regional scale. In três Corações reference area, thicker and highly permeable soils over biotite schist-gneiss, with altitudes of 917 m, average temperature of 19.7 °C, and annual precipitation of 1497 mm are more likely for wines with higher values of flavonols, dry extract and total phenolic index (TPI) than Cordislândia reference area. The latter is characterized by thicker and highly permeable soils over pyroxene granulite, with average altitude of 832 m, and annual precipitation of 1508 mm. Lower uncertainty along with higher membership values is an important metric for decision makers: out of the indicated regions might be a risk for grapevine producers.
•Environment, grapes and wine composition indicate suitability for wine production.•Fuzzy logic was adequate to find similar terroir conditions within a Provenance area.•1,583 ha under Oxisols presented higher similarity with already established vineyards.•Lower uncertainty and higher membership values was found in new potential areas.