Heroic viticulture: Environmental and socioeconomic challenges of unique heritage landscapes

Tarolli, Paolo; Wang, Wendi; Pijl, Anton; Cucchiaro, Sara; Straffelini, Eugenio

doi:10.1016/j.isci.2023.107125

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…Heliothermic Huglin index (HI), which is calculated by summing, when positive, the average between the mean and the maximum temperature, in relation to the baseline temperature of 10°C i.e. the physiological threshold for the 150 start of the vine growth cycle (Huglin M, 1978;Teslić et al, 2018), over the period from 1st April to 30th September and corrected by a coefficient of day duration. The HI index is tied to vine growing and grape sugar concentration with higher HI leading to an increased vine vigour and higher sugar content in the grapes.…”

Section: Bioclimatic Indices 140mentioning

confidence: 99%

“…A set of bioclimatic indices, based on temperature and heat accumulation (OIV, 2015), was proposed by the International Organisation of Vine and Wine (OIV), while precipitation-based indices were developed by Badr et al, (2018) considering the research of Blanco-Ward et al (2007). Bioclimatic indices are commonly used to assess a region's suitability for viticulture or zoning purposes, as well as in relation to phenology, harvest date and 40 alcohol concentration (Dalla Marta et al, 2010;Koufos et al, 2014;Sánchez et al, 2019;Teslić et al, 2018). A novel application linking bioclimatic indices directly to wine grape productivity data in Italy was proposed by Massano et al, (2023) at regional level.…”

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confidence: 99%

“…In Italy the vineyards are planted in extremely different areas, from the coasts to the hills, in some case also at considerable altitude (Tarolli et al, 2023). The wine production system is complex and fragmented, including both 45 small farms and large companies.…”

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confidence: 99%

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Using a convection-permitting climate model to predict wine grape productivity: two case studies in Italy

Massano,

Fosser,

Gaetani

et al. 2024

Preprint

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Abstract. Viticulture is tied to climate, it influences the suitability of an area, yield and quality of wine grapes. Therefore, traditional wine-growing regions could be threatened by a changing climate. Italy is at-risk being part of the Mediterranean climatic hotspot and judged in 2022 the second-largest exporter of wine worldwide. The article explores the potential of climate models to predict wine grape productivity at local scale. To this end, both single and multi-regression approaches are used to link productivity data provided by two Italian wine consortia with bioclimatic indices. Temperature and precipitation-based bioclimatic indices are computed by using the observational dataset E-OBS, the high-resolution climate reanalysis product SPHERA, and both the Regional and the Convection-permitting Climate Model (RCM and CPM). The potential of CPMs to represent the impact of climate variability on wine grape productivity at local scale in Italy is evaluated. The results indicate high correlations between some bioclimatic indices and productivity. Climate models appear to be a useful tool to explain productivity variance, however, the added value of CPM, became evident only when precipitation-based indices are considered. This assessment opens the path for using climate models, especially at convection-permitting scale, to investigate future climate change impact on wine production.

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Section: Bioclimatic Indices 140mentioning

confidence: 99%

mentioning

confidence: 99%

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Using a convection-permitting climate model to predict wine grape productivity: two case studies in Italy

Massano,

Fosser,

Gaetani

et al. 2024

Preprint

View full text Add to dashboard Cite

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European vineyards and their cultural landscapes exposed to record drought and heat

Straffelini,

Wang,

Tarolli

2024

Agricultural Systems

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Using a convection-permitting climate model to assess wine grape productivity: two case studies in Italy

Massano,

Fosser,

Gaetani

et al. 2024

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The article explores the potential use of climate models to reproduce wine grape productivity at a local scale in Italy. To this end, both single and multiple regression approaches are used to link productivity data provided by two Italian wine consortia with bioclimatic indices. Temperature- and precipitation-based bioclimatic indices are computed using the observational dataset E-OBS, the high-resolution climate reanalysis product SPHERA, the regional climate model CNRM-ALADIN, and the kilometer-scale convection-permitting climate model CNRM-AROME. The multiple regression method outperforms the single regression systematically, enhancing the ability of bioclimatic indices to explain productivity variability. The results show that productivity is strongly tied to temperature-based bioclimatic indices in the area of the Consorzio per la tutela del Franciacorta in northern Italy, while for the Consorzio del Vino Nobile di Montepulciano area in central Italy both temperature- and precipitation-based indices are relevant. Climate models, providing similar results as E-OBS and SPHERA, appear to be a useful tool to explain productivity variance. In particular, the added value of convection-permitting resolution is evident when precipitation-based indices are considered. This assessment shows windows of opportunity for using climate models, especially at a convection-permitting scale, to investigate future climate change impact on wine production.

show abstract

Heroic viticulture: Environmental and socioeconomic challenges of unique heritage landscapes

Cited by 4 publications

References 5 publications

Using a convection-permitting climate model to predict wine grape productivity: two case studies in Italy

Using a convection-permitting climate model to predict wine grape productivity: two case studies in Italy

European vineyards and their cultural landscapes exposed to record drought and heat

Using a convection-permitting climate model to assess wine grape productivity: two case studies in Italy

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