Comparison of two fine scale spatial models for mapping temperatures inside winegrowing areas

Roux, Renan Le; Rességuier, Laure de; Corpetti, Thomas; Jégou, Nicolas; Madelin, Malika; Leeuwen, Cornelis van; Quénol, Hervé

doi:10.1016/j.agrformet.2017.07.020

Cited by 29 publications

(23 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This spatial variation is close to expected rise in temperature throughout the 21st century (scenarios and multi-models median between +2 and +3°C in southwestern France, compared to the 1986-2005 average, as shown in the regional atlases in IPCC 2014). Our results are consistent with previous studies which have shown large spatial variation in temperature at local scale (see for instance Quénol, 2014 andLe Roux et al, 2017). They confirm that (1) the impact of climate change differs in a consistent manner in space and (2) adaptation to climate change does not necessarily imply a long range shift in vineyard location towards higher latitudes or altitudes, as cool areas for vine production can be found within the same wine producing region.…”

Section: Agroclimatic Zoning Of the Gironde Wine Regionsupporting

confidence: 93%

Temperature-based zoning of the Bordeaux wine region

et al. 2018

Self Cite

View full text Add to dashboard Cite

Temperature is a driving climate variable for grapevine development and grape ripening kinetics. The current study first reports interpolation of daily minimum and maximum temperature data by a weather station network from 2001 to 2005 in the Bordeaux (France) region by means of regression kriging using terrain, satellite and land-cover derived covariates. Second it analyses the interpolation procedure errors in agroclimatic indices by means of cross validation and then it compares the field observations of grapevine phenology to temperature-based predicted phenology applied to interpolated data. Finally it proposes a simple method to perform a zoning of Bordeaux vineyards based upon the spatialized prediction of the day on which grape sugar content reaches 200 g.L-1. The zoning performed shows large potential differences in grape maturity date (up to 20 days) induced by temperature spatial variability in a low relief area.

show abstract

Section: Agroclimatic Zoning Of the Gironde Wine Regionsupporting

confidence: 93%

Temperature-based zoning of the Bordeaux wine region

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…For creating the map of Canopy Winkler Index, a model based on a Support Vector Regression (SVR) was used [7]. Inter annual variability is greater on mean and maximum temperatures than on minimum temperature which is more or less similar and constant each year.…”

Section: Statistical Analysesmentioning

confidence: 99%

Variability of climate, water and nitrogen status and its influence on vine phenology and grape composition inside a small winegrowing estate

et al. 2018

Self Cite

View full text Add to dashboard Cite

Climate is a major terroir factor in viticulture. In winegrowing regions, climate is studied at an increasingly refined scale. Results from the Life ADVICLIM project show substantial spatial variability of temperatures inside the region of Saint-Emilion, Pomerol and surrounding appellations (Bordeaux, France). In this study we investigated climatic variability at an even more refined scale, inside an 11 ha estate located in Saint-Emilion with significant topographic variability, planted with Merlot and Cabernet franc. Elevation ranges from 34 to 81 meters. 31 temperature sensors were set-up in 2013 inside the canopy, taking into account all parameters linked to the topography. Spatial temperature variability and its influence on vine phenology and grape composition were investigated. Vine water and nitrogen status were also taken into account through δ13C and N-tester measurements. Over the growing season (April 1 through September 30), spatial temperature variability was greater on minimum temperatures (1.6°C) compared to maximum temperatures (1.3°C). Spatial variability in minimum temperature was driven by elevation and slope. Further investigation is required for spatial variability in maximum temperature, which could not be explained by environmental co-variables. Temperature variability among vintages was driven by maximum temperature, while minimum temperature showed little variation from one year to another. The average Winkler Index measured in the canopy ranged from 1774 degree.days to 1978 degree.days. This spatial variability of 204 degree.days can induces potentially 20 days difference in maturity dates. The timing of flowering varied from one vintage to another but inside a given vintage spatial variability was small, and so was variability induced by the cultivar. Veraison dates were highly variable among vintages. Inside a given vintage, spatial variability and cultivar effect were significant. Berry weight was driven by vine water and nitrogen status. Berry malic acid content was impacted by temperature. Vine water and nitrogen status also influenced berry malic acid content. Berry sugar content depended mainly on vine nitrogen status. The grapevine variety influenced berry sugar and malic acid content, as well as berry mass.

show abstract

“…The initial predictors we had selected for the interpolation process were the same used in Le Roux et al [13]: elevation, slope, aspect (North-South and West-East E3S Web of Conferences 50, 01031 (2018) https://doi.org/10.1051/e3sconf/20185001031 XII Congreso Internacional Terroir XII th International Terroir Congress. Zaragoza 2018 components), longitude, latitude, and potential solar radiation and direct solar radiation duration, both summed over the vegetation period (April 1 st -October 31 st ).…”

Section: Predictorsmentioning

confidence: 99%

“…Because vineyards in South Tyrol cover a relatively small area (only 0.2 hectares on average), we have decided to use a resolution of 25 m as a good compromise between computational time and accurately assessing spatial variability. Aspect was processed in order to remove circular geometry and avoid problems in computation [13]. In particular, we have split North-South and West-East components, computing sine and cosine of the aspect angle respectively.…”

Section: Predictorsmentioning

confidence: 99%

Linking viticultural climatic indices to grape phenology in the South Tyrolean Alps

2018

View full text Add to dashboard Cite

Climate indices based on heat accumulation, e.g. the Winkler index, are widely used to define the climatic niches for vines. In this study, we investigate how a combined use of high-resolution (25 m) climate index maps and phenology records from 30 vineyards in South Tyrol (in the Italian Alps) can help to (i) assess viticultural suitability across a mountainous landscape and (ii) estimate the timing of physiological processes of Pinot Noir development (ripening and must weight) at various sites across the region. First, the best interpolation method is chosen (from multiple linear regression (MLR), regression kriging or support vector regression) to create maps of climate indices averaged over the time period 1991-2010. Second, correlation is calculated between the timing of phenological stages of Pinot Noir for the year 2017 and various climate indicators, such as temperature-based indices (Winkler, Huglin, Biologically Active Degree Days, Cool Night, Fregoni) and average (GST), minimum and maximum temperature over the growing season. The MLR method is shown to yield the best interpolations of the climate indices across the complex terrain of the study area. The Winkler and GST indices correlate most precisely with the late-season phenological events of the study sites, and are thus the most predictive. These findings demonstrate the potential of climatic maps to effectively define suitable areas for grape growing and estimate ripening dates in South Tyrol.

show abstract

Comparison of two fine scale spatial models for mapping temperatures inside winegrowing areas

Cited by 29 publications

References 31 publications

Temperature-based zoning of the Bordeaux wine region

Temperature-based zoning of the Bordeaux wine region

Variability of climate, water and nitrogen status and its influence on vine phenology and grape composition inside a small winegrowing estate

Linking viticultural climatic indices to grape phenology in the South Tyrolean Alps

Contact Info

Product

Resources

About