Soil Temperature and Climate Change: Implications for Mediterranean Vineyards 

The concept of ‘terroir’ describes the interplay of the environmental factors that affect the grapevine. This includes but is not limited to climate, soil composition, vineyard management, topography, and geology.

In this video recording of the IVES science meeting 2025, Marie Le Scanff (University of Bordeaux, UMR 1366 Oenologie, Institut des Sciences de la Vigne et du Vin, Villenave d’Ornon, France) speaks about the sensory contribution of grape stems during winemaking and about the role of astilbin, a sweet polyphenol. This presentation is based on an original article accessible for free on OENO One and on a technical article published on IVES Technical Reviews.

Grape berry quality is highly influenced by the pedoclimatic conditions in vineyards and specific microbial communities colonizing the berry surface during ripening.

Optimizing the use of water and improving irrigation strategies has become increasingly important in most winegrowing countries due to the consequences of climate change, which are leading to more frequent droughts, heat waves, or alteration of precipitation patterns. Optimized irrigation scheduling can only be based on a reliable knowledge of the vineyard water status.

In this context, this work aims at the development of a novel methodology, using a contactless, miniaturized, low-cost NIR spectral tool to monitor (on-the-go) the vineyard water status variability. On-the-go spectral measurements were acquired in the vineyard using a NIR micro spectrometer, operating in the 900–1900 nm spectral range, from a ground vehicle moving at 3 km/h. Spectral measurements were collected on the northeast side of the canopy across four different dates (July 8th, 14th, 21st and August 12th) during 2021 season in a commercial vineyard (3 ha). Grapevines of Vitis vinifera L. Graciano planted on a VSP trellis were monitored at solar noon using stem water potential (Ψs) as reference indicators of plant water status. In total, 108 measurements of Ψs were taken (27 vines per date).

Calibration and prediction models were performed using Partial Least Squares (PLS) regression. The best prediction models for grapevine water status yielded a determination coefficient of cross-validation (r2cv) of 0.67 and a root mean square error of cross-validation (RMSEcv) of 0.131 MPa. This predictive model was employed to map the spatial variability of the vineyard water status and provided useful, practical information towards the implementation of appropriate irrigation strategies. The outcomes presented in this work show the great potential of this low-cost methodology to assess the vineyard stem water potential and its spatial variability in a commercial vineyard.

Drought can impact grapevine physiology, yield, berry composition and wine quality, as extensively demonstrated in controlled experiments (Flor et al., 2025; Hewitt et al., 2023).