“Terroir” and climate change in Franconia / Germany

Abstract

Franconia which is a “cool climate” winegrowing region is well known for its fruity white wines. The most common grape cultivars are Silvaner and Mueller-Thurgau.
Franconia is a landscape of contrasts with various climatic conditions. The vineyard sites are located at a height between 120 m and 420 m above sea level on slopes and steep slopes as well as on terraces.
In favourable south orientated sites the maximum temperatures reach about 40° C (peak value year 2003), while winter frosts cause deep temperatures down to about -27°C (year 2002) in valleys or exposed sites.
At present, the Franconian winegrowing region is being affected by the global climate change. Several forecasts predict an average annual temperature increase of approximately 2°C for Southern Germany until the year 2050. During the same period an increased occurrence of temperature-related extreme events is expected.
In case of permanent increase of the average air temperatures and temperature-related extreme events, the cultivation of grapes on E, W and NW slopes could be considered appropriate to preserve the fruity character of traditional white wines.

DOI:

Publication date: December 3, 2021

Issue: Terroir 2010

Type: Article

Authors

Ulrike Maaß, Arnold Schwab

Bavarian State Institute for Viticulture and Horticulture An der Steige 15, D-97209 Veitshöchheim

Contact the author

Keywords

Vineyard Climate, Climate change, Terroir, Topoclimate, Microclimate

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

Alcohol preference and health behaviors in patients with cardiometabolic diseases: insights from the multi-center iact cross-sectional study

Recognizing the influence of alcohol preference on health behaviors is essential for developing tailored interventions that effectively promote healthier lifestyles and optimize disease management strategies in the vulnerable population of patients with cardiometabolic diseases (CMD). The present study aims to provide valuable insights into how alcohol preference relates to dietary habits and medication adherence among patients with CMD diseases.

Dry leaf hyperspectral reflectance predicts leaf elemental composition in grafted hybrids

Elemental composition, measured as the concentrations of different elements present in a given tissue at a given time point, is a key indicator of vine health and development. While elemental composition and other high-throughput phenotyping approaches yield tremendous insight into the growth, physiology, and health of vines, costs and labor associated with repeated measures over time can be cost-prohibitive. Recent advances in handheld sensors that measure hyperspectral reflectance patterns of leaf tissue may serve as an affordable proxy for other types of phenotypic data, including elemental composition. Here, we ask if reflectance patterns of dried Chambourcin leaf tissue from an experimental grafting vineyard can predict the known elemental composition of those leaves.

Spatial characterisation of terrain units in the Bottelaryberg-Simonsberg-Helderberg wine growing area (South Africa)

The first South African wine was made by Jan van Riebeeck on the second of February 1659. His initial determination to produce wine at the Cape refreshment station was continued by other governors

Within-vineyard variability in grape composition at the estate scale can be assessed through machine-learning modeling of plant water status in space and time. A case study from the hills of Adelaida District AVA, Paso Robles, CA, USA

Aim: Through machine-learning modelling of plant water status from environmental characteristics, this work aims to develop a model able to predict grape phenolic composition in space and time to guide selective harvest decisions at the estate scale.

Hyperspectral imaging and Raman spectroscopy, nondestructive methods to assess wine grape composition

Grape composition is of high interest for producing quality wines. For that, grape analyses are necessary, and they still require sample preparation, whether with classical analyses or with NIR analyses.