Terroir 2010 banner
IVES 9 IVES Conference Series 9 Using atmospheric and statistical models to understand local climate and assess spatial temperature variability at a fine scale over the Stellenbosch wine district, South Africa

Using atmospheric and statistical models to understand local climate and assess spatial temperature variability at a fine scale over the Stellenbosch wine district, South Africa

Abstract

Atmospheric and statistical models were used to increase understanding of potential climatic impacts, resulting from mesoscale physical processes that cause significant temperature variability for viticulture within the Stellenbosch Wine of Origin district. Hourly temperature values from 16 automatic weather stations and 40 tinytag data loggers located in the vineyards were analysed. The 5th of March 2009 was selected as an example to study the cooling potential of the terroirs in radiative weather conditions during grape ripening time. Differences reached more than 10°C between vineyards and can be considered as significant for viticulture. Numerical simulations using the Regional Atmospheric Modeling System were performed. Results for a horizontal grid resolution of 200 m over the Stellenbosch wine region for the 5th of March 2009 showed that the temperature difference was due to cool air accumulation with land and downslope breezes. Surface temperature data recorded in the vineyards were used to produce, by means of multicriteria statistical modelling, which took environmental factors into account, a map of spatial distribution of the daily minimum temperature at a fine scale (90 m). The use of the two models represented an interesting tool to help in identifying the cooling potential of locations for viticulture and, at a later stage, studying the impacts of climate change at fine scales.

DOI:

Publication date: October 6, 2020

Issue: Terroir 2010

Type: Article

Authors

V. Bonnardot (1), V. Carey (2), M. Madelin (3), S. Cautenet (4), Z. Coetzee (2), H. Quénol (1)

(1) COSTEL-LETG, UMR 6554 CNRS, Université Rennes2, Place du Recteur H. Le Moal, 35043 Rennes
(2) Department of Viticulture and Oenology, Stellenbosch University, Private Bag X1 Matieland 7602, RSA.
(3) PRODIG, UMR 8586 CNRS, Université Paris 7 Diderot, 2 rue Valette, 75005 Paris, France.
(4) LaMP, UMR 6016 CNRS, Université Blaise Pascal, 24 Avenue des Landais, 63177 Aubière, France

Contact the author

Keywords

Atmospheric modelling, statistical modelling, cooling potential, vineyard, South Africa

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

On quality assurance of winemaking components

This report examines product quality assurance issues arising when technological aids and food additives are utilized in winemaking.

Caractérisation et gestion de la maturation par terroir en Champagne

Pour prévoir et gérer chaque année les principales caractéristiques de la maturation en Champagne, le CIVC (Comité Interprofessionnel du Vin de Champagne) a développé un ensemble de moyens de prévision et d’information très performants qui permettent aux différents acteurs de la filière viti-vinicole de prendre en compte ces informations à l’échelle de chaque terroir communal pour la recherche d’une qualité optimale.

Effects of heat and water stress on grapevine health: primary and secondary metabolism

Grapevine resilience to climate change has become one of the most pressing topics in the Viticulture & Enology field. Vineyard health demands understanding the mechanisms that explain the direct and indirect interactions between environmental stressors. The current climate change scenario, where drought and heat-wave are more frequent and intense, strongly demands improving our knowledge of environmental stresses. During a heatwave, the ambient temperature rises above the plant’s average tolerance threshold and, generally, above 35 oC plant’s adaptation to heat stress is activated.

A sensometabolomic approach to understand wine mouthfeel percepts

Targeted analytical methods can overlook compounds that are a priori unknown to play a role in the mouthfeel sensations. This limitation can be overcome with the information provided by untargeted metabolomic analysis using UPLC‐QTOF-MS. To this end, an untargeted metabolomic approach applied to 42 red wines has allowed development of a model with predictive capacity by cross-validation for the “dry”, “oily” and “unctuous” sensations perceived by a sensory panel. The optimal PLS model for “dry” retained compounds with positive regression coefficients (≥ 0.17) including a trimer procyanidin, a peptide, and four anthocyanins.

Diversity of arbuscular mycorrhizal fungi on grapevine roots across an edaphoclimatic gradient

Challenges associated with climate change, such as soil erosion and drought, have impacted viticulture across wine regions globally in recent decades. As winegrowers struggle to maintain yield and quality standards under these conditions, methods to adapt to and mitigate the impacts of climate change have become more prevalent. One potential mitigation strategy is to enhance symbiotic interaction of grapevine roots with arbuscular mycorrhizal fungi (AMF).