Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 250, Issue -, Pages 226-242Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.agrformet.2017.12.253
Keywords
Climate change; Vitis vinifera L.; General circulation model; Statistical downscaling; Phenological model; Spring frost
Categories
Funding
- Region Aquitaine
- French National Research Agency (ANR) of the Investments for the future Programme, within the Cluster of Excellence COTE [ANR-10-LABX-45]
- ANR [ANR-10-LABX-0018]
- European FP7 IS-ENES2 project [312979]
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Tardive frosts, i.e. frost events occurring after grapevine budburst, are a significant risk for viticultural practices, which have recently caused substantial yield losses over different winegrowing regions of France, e.g. in 2016 and 2017. So far, it is unclear whether the frequency of late frosts events is destined to increase or decrease under future climatic conditions. Here, we assess the risk of tardive frosts for the French vineyards throughout the 21st century by analyzing temperature projections from eight climate models and their statistical regional down scaling. Our approach consists in comparing the statistical occurrences of the last frost (day of the year) and the characteristic budburst date for nine grapevine varieties as simulated by three different phenological models. Climate models qualitatively agree in projecting a gradual increase in temperature all over the France, which generally produces both an earlier characteristic last frost day and an earlier characteristic budburst date. However, the latter notably depends on the specific phenological model, implying a large uncertainty in assessing the risk exposure. Overall, we identified Alsace, Burgundy and Champagne as the most vulnerable regions, where the probability of tardive frost is projected to significantly increase throughout the 21st century for two out of three phenological models. The third phenological model produces opposite results, but the comparison between simulated budburst dates and observed records over the last 60 years suggests its lower reliability. Nevertheless, for a more trustworthy risk assessment, the validity of the budburst models should be accurately tested also for warmer climate conditions, in order to narrow down the associated large uncertainty.
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