Abstract

The present research focused on the characterisation of climate evolution in a typical Apulian region for table grape production under the protected geographical indication, “Uva di Puglia I.G.P.”Two thirty-year time window period (TW) were analysed: 1961-1990 and 1991-2020. Georeferenced maps for both TWs were produced to delimit homogeneous zones and to evaluate the climate variability within the investigated area by means of the two bioclimatic indices, Heliothermal Index (HI) and Winkler Index (WI). Spatial analysis of HI and WI was performed using the regression-kriging (RK) interpolation method and the Digital Elevation Model/DEM (10 x 10 m) as a prediction attribute.An increase in both the minimum and maximum temperatures was observed, and locations above 300 m a.s.l. shifted from HI+1 “temperate warm” to HI+2 “warm” according to the Geoviticulture Multicriteria Climatic Classification System. WI values similarly increased between the periods 1961–1990 and 1991–2020, shifting all the sites grouped in the Elevation Classes defined as being below 300 m a.s.l. from Region IV to Region V of the Winkler Classification.According to HI and WI, presumed maturity was calculated as being reached 9 to 15 (HI) and 12 to 28 days (WI) earlier in 1991–2020 than in 1961–1990, taking into account the heat requirements of cv. Italia table grape (representative of Apulian table grape production), were set at 2200 for both indices on the basis of literature data.Moreover, three table grape vineyards, located in the three main producing provinces of Apulia (Bari, Taranto and Barletta-Andria-Trani (BAT)), were considered for future scenarios analysis on the basis of two different Representative Concentration Pathways (RCPs), 4.5 and 8.5, and classified according to the Geoviticulture Multicriteria Climatic Classification System (MCC). Future scenarios scored WI values that exceeded the threshold of 2700 in the BAT and TA provinces in the 2061–2090 time window period for RCP 8.5. In contrast, RCP 4.5 led to a mitigating effect, which was not noticeable until 2040, with a consequent reclassification of the investigated areas on the basis of HI and Cool Night Index (CI).These findings suggest that in order to prevent or overcome heat stress, it will be necessary to implement strategies, such as vineyard relocation to unexplored elevations or latitudes and/or the exploitation of new table grape varieties able to fulfill the optimal maturity parameters, even when the duration of the phenological phases is shorter.

Highlights

  • The existence of climate change is incontrovertible, having clear consequences for agriculture and viticulture (Koufos et al, 2018)

  • Other bioclimatic indices which rely on temperature have been employed in geoviticultural climatic characterisation; for example, Diurnal Thermal Range (DTR) (Koufos et al, 2013), Cool Night Index (CI) (Tonietto, 1999), Biologically Effective degree-day index (BEDD) (Gladstones, 1992) and Growing Season Temperature (GST) (Jones, 2006)

  • The Heliotermal Index (HI) and the Winkler Index (WI) were calculated for each of the two time window periods (TW) in the Apulian area defined by the Protected Geographical Indication “Uva di Puglia I.G.P.”

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Summary

Introduction

The existence of climate change is incontrovertible, having clear consequences for agriculture and viticulture (Koufos et al, 2018). Bioclimatic indices are an effective tool for the analysis and precise evaluation of climatic conditions in a given grape growing area. Other bioclimatic indices which rely on temperature have been employed in geoviticultural climatic characterisation; for example, Diurnal Thermal Range (DTR) (Koufos et al, 2013), Cool Night Index (CI) (Tonietto, 1999), Biologically Effective degree-day index (BEDD) (Gladstones, 1992) and Growing Season Temperature (GST) (Jones, 2006). A sufficiently large and representative dataset needs to be considered — covering at least 30 years — and preferably referred to the specific historic period of 1961–1990, as defined by the World Meteorological Organization (WMO). The European Centre for Medium-large Weather Forecasts (ECMWF) have started to consider the ten year time window period of 1991–2020 as the main reference period, as previously unavailable satellite data can be used (C3S Climate Bulletin, 2021)

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