terclim by ICS banner
IVES 9 IVES Conference Series 9 Climate and the evolving mix of grape varieties in Australia’s wine regions

Climate and the evolving mix of grape varieties in Australia’s wine regions

Abstract

The purpose of this study is to examine the changing mix of winegrape varieties in Australia so as to address the question: In the light of key climate indicators and predictions of further climate change, how appropriate are the grape varieties currently planted in Australia’s wine regions? To achieve this, regions are classified into zones according to each region’s climate variables, particularly average growing season temperature (GST), leaving aside within-region variations in climates. Five different climatic classifications are reported. Using projections of GSTs for the mid- and late 21st century, the extent to which each region is projected to move from its current zone classification to a warmer one is reported. Also shown is the changing proportion of each of 21 key varieties grown in a GST zone considered to be optimal for premium winegrape production. Together these indicators strengthen earlier suggestions that the mix of varieties may be currently less than ideal in many Australian wine regions, and would become even less so in coming decades if that mix was not altered in the anticipation of climate change. That is, grape varieties in many (especially the warmest) regions will have to keep changing, or wineries will have to seek fruit from higher latitudes or elevations if they wish to retain their current mix of varieties and wine styles.

DOI:

Publication date: May 31, 2022

Issue: Terclim 2022

Type: Article

Authors

Kym Anderson1, Gregory Jones2, German Puga3 and Richard Smart4

1,3Wine Economics Research Centre, University of Adelaide, Adelaide SA, Australia
2Abacela Vineyards and Winery, Roseburg OR, United States
3Centre for Global Food and Resources, University of Adelaide, Adelaide SA, Australia
4Smart Viticulture, Greenvale Vic, Australia

Contact the author

Keywords

adaptation to climate change, Australia’s viticulture, climatic classifications, winegrape varieties

Tags

IVES Conference Series | Terclim 2022

Citation

Related articles…

A deep learning object detection approach for smart pest identification in vineyards

Flavescence dorée (FD) poses a significant threat to grapevine health, with the American grapevine leafhopper, Scaphoideus titanus, serving as the primary vector.

Altered lignans accumulation in a somatic variant of Tempranillo with increased extractability of polyphenols during winemaking

Vegetative propagation of grapevines can generate spontaneous somatic variations, providing a valuable source for cultivar improvement. In this context, natural variation in the composition of phenolic compounds in grapevine berries and seeds stands as a pivotal factor in crafting wines with diverse oenological profiles from the same cultivar. To deepen on the understanding of the physiological and genetic mechanisms driving somatic variation in grape phenolics, here we characterized a somatic variant from Tempranillo Tinto, the clone VN21, that exhibits an intense reduced berry skin cuticle and increased extractability of phenolic compounds during wine fermentation.

Influence of the carbonic maceration winemaking method on the colour features of Tempranillo red wines

During recent years, carbonic maceration (CM) wines are increasingly demanded by consumers. The Spanish Rioja Qualified Designation of Origin (D.O.Ca. Rioja) is a winemaking area

Spiders in vineyards show varying effects of inter-row management and the surrounding landscape

In vineyards, management and the surrounding landscape can have different effects on spiders. In temperate regions management (organic vs. conventional) may have less strong effects than for other crops.

Meso-scale future climate modeling (5 km resolution): application over French wine regions under the SRES A2 scenario (2041-2050)

In order to assess climate change at regional scales suitable to viticulture, the outputs of ARPEGE_Climat global model (resolution 0.5°) were downscaled using the Regional Atmospheric