Volume 17, Issue 8 pp. 2707-2719
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Observed trends in winegrape maturity in Australia

L. B. WEBB

L. B. WEBB

School of Land and Environment, University of Melbourne, Parkville, Victoria, Australia

CSIRO Climate Adaptation National Research Flagship, Melbourne, Victoria, Australia

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P. H. WHETTON

P. H. WHETTON

CSIRO Climate Adaptation National Research Flagship, Melbourne, Victoria, Australia

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E. W. R. BARLOW

E. W. R. BARLOW

School of Land and Environment, University of Melbourne, Parkville, Victoria, Australia

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First published: 07 April 2011
Citations: 118
L. B. Webb, CSIRO, PMB 1, Aspendale, Victoria 3195, Australia, tel. +613 9239 4549, fax +613 9239 4444, e-mail: [email protected]

Abstract

An extensive assessment of historical trends in winegrape maturity dates from vineyards located in geographically diverse winegrape growing regions in Australia has been undertaken. Records from 44 vineyard blocks, representing a range of varieties of Vitis vinifera L., were accessed. These comprise 33 short-term datasets (average 17 years in length) and 11 long-term datasets, ranging from 25 to 115 years in length (average 50 years). Time series of the day of the year grapes attain maturity were assessed. A trend to earlier maturity of winegrapes was observed in 43 of the 44 vineyard blocks. This trend was significant for six out of the 11 long-term blocks for the complete time period for which records were available. For the period 1993–2009, 35 of the 44 vineyard blocks assessed displayed a statistically significant trend to earlier maturity. The average advance in the phenology was dependent on the time period of observation, with a more rapid advance over more recent decades. Over the more recent 1993–2009 period, the average advance was 1.7 days year, whereas for the period 1985–2009 the rate of advance was 0.8 days yr−1 on average in the 10 long-term vineyard blocks assessed for cross-regional comparison. The trend to earlier maturity was associated with warming temperature trends for all of the blocks assessed in the study.

Introduction

Responses to climate by biophysical systems can be used to complement meteorological observations of climatic changes (Rosenzweig et al., 2008). Phenology is the study of the phases of biological systems through the seasons and is affected by the climate (Schwartz, 2003). Many phenological time series trends have been studied in the Northern Hemisphere and most of the trends are consistent with warming temperatures (Menzel et al., 2006; Rosenzweig et al., 2008). In Australia, over the past decades the climate has also been warming (Karoly & Braganza, 2005). However, to date, there exist sparse long-term systematic phenological data collections from natural and managed biological systems in the Southern Hemisphere (Chambers, 2006) with which to make similar comparisons. In fact, limited studies of observed changes in physical systems exist and no studies were listed for agricultural (managed) systems in Australia (at least 20 years of data were required for analysis) in the latest assessment report published by the IPCC (Rosenzweig et al., 2007; Koch, 2010). In this study we assess time series of observed phenological responses in a managed biological system, using records from vineyards and wineries in southern Australia, to determine whether trends in these systems are evident. While one assessment of shorter term observed phenological records (from 1993 to 2006) has been undertaken (Petrie & Sadras, 2008) the Australian analysis presented here is the first broadly spatially based and comparative assessment of observed short-term and long-term winegrape maturity time series from the Southern Hemisphere.

Shifts in the timing of winegrape maturity can have implications for grape-growers. It is well established that temperature at, and leading up to harvest, influences winegrape quality (Jackson & Lombard, 1993; Coombe & Iland, 2004). Owing to normal seasonal temperature fluctuations, earlier ripening translates to warmer ripening temperatures for winegrapes. Warming temperatures in cool climate regions could lead to more consistent vintage quality, as for example with Riesling in the Mosel region in Germany (Ashenfelter & Storchmann, 2010) while negative impacts on winegrape quality as a result of ripening in a warmer climate during a warmer part of the year have been modelled for Australia (Webb et al., 2008a, b). These results can be explained by the rate of change in fruit composition being strongly influenced by temperature (Coombe, 1987; Jackson & Lombard, 1993; Coombe & Iland, 2004), with higher temperatures increasing the speed of sugar development and hastening acid degradation (Coombe & Iland, 2004; Lund & Bohlmann, 2006; Conde et al., 2007; Zamora, 2007). A further consequence of this is the production of higher alcohol wines; it has been noted that in recent warmer vintages a possible de-coupling of sugar development from that of flavour and aroma components may have resulted in increased alcohol levels in wine (Duchene & Schneider, 2005; Godden & Gishen, 2005; Petrie & Sadras, 2008). Higher temperatures may also reduce anthocyanin levels (Haselgrove et al., 2000; Bergqvist et al., 2001; Spayd et al., 2002) and increase volatilization of aroma compounds (Bureau et al., 2000; Marais et al., 2001). Detection of trends in observed phenological time series across multiple varieties, and both cooler and warmer winegrape growing regions may alert the industry to shifts which may be having an impact on winegrape quality.

Furthermore, if changes to phenology in response to climatic shifts do not affect all varieties in the same way a compression or expansion of the harvest period may occur. A compression would occur if later ripening varieties are more sensitive to climatic changes than earlier ripening varieties causing the harvest window to reduce, consequently impacting vineyard logistics, intake scheduling and winery infrastructure (Webb et al., 2007; Van Vliet, 2010). Measurement of the spread of winegrape maturity dates across regions and time series from this analysis is explored to determine whether or not a compression of the harvest period has occurred over the time period of these observations.

While the specific biological mechanisms relating major phenological phases with temperature are poorly understood (Pearce & Coombe, 2004), empirical evidence suggests that as climates warm, winegrape phenology progresses more swiftly and grapes ripen earlier (Le Roy Ladrie, 1988; Chuine et al., 2004; Jones et al., 2005; Seguin & de Cortazar, 2005). Because temperature is often described as the major driver of phenological shifts of winegrapes (Rosenzweig et al., 2007), a preliminary analysis of an association of any biophysical shifts with observed temperature changes is presented here.

Anthropogenic emissions of greenhouse gases (GHGs) are projected to increase in future with resultant climate shifts that will continue to impact on biological systems (IPCC, 2007). Projections for future changes to climate have been modelled for Australia and a warming and drying climate is likely for the wine growing regions of Australia (CSIRO and Australian Bureau of Meteorology, 2007). Modelling of projected warming on phenology of wine grapes in Australia indicates that winegrape maturity will occur earlier in the season in future (Webb et al., 2007). These shifts were found to vary by region with Chardonnay harvest date in Coonawarra, a cooler region, to advance by 12–22 days with warming of average growing season temperature of approximately 0.3–0.7 °C. In the Clare Valley, a warmer region, Chardonnay harvest day was modelled to advance by 7–14 days by with a warming of about 0.4–1.0 °C. In this modelling study, the Margaret River was the one region where, with some future warming scenarios, a later harvest was predicted for the future (Webb, 2006). Comparison of observation and model results may serve to validate this earlier study.

Analysis of winegrape maturity datasets from a range of wine growing regions in Australia is undertaken here in order to determine the presence of any trends in phenological time series. This analysis serves to contribute to the global biophysical response record, addressing the paucity of Southern Hemisphere data. In this article, associations of shifts in phenology with observed shifts in temperature, assuming that temperature is the likely major driver, are introduced. However, it should be noted that other climatic and nonclimatic drivers have also been described as affecting the timing of maturity of perennial horticultural crops e.g. reduced rainfall has been correlated with advanced full bloom dates in apple and pear in South Africa (Grab & Craparo, 2010); and lower yields were correlated with earlier maturity in the Riverland region of Australia (Botting et al., 1996). Owing to the large number of datasets being assessed here, and the potential complexity of assessing the multiple drivers of any trends in these broadly spatially based, managed biological systems, the focus of this article will be on detection of a shift in the timing of winegrape maturity. The more comprehensive attribution study of any detected trends, exploring many potential climatic and nonclimatic drivers of change, will be presented in a subsequent analysis.

Method

Data from wineries and vineyards in Australia

Records of observations made during winegrape harvests from 44 vineyard blocks in 12 winegrape growing regions in Australia, encompassing the periods 1895–2009, have been assessed (Fig. 1). The regions studied represent the full range of temperatures in which most winegrapes are grown in Australia (Smart et al., 1980). The regions, varieties and blocks represented are listed as well as the latitude/longitude of the vineyard sites (Table 1). Where more than one block of the same variety was assessed in a given region the variety was given a block code e.g. Shiraz (L) and Shiraz (M) from the Eden Valley. For the short-term datasets, the latitude/longitude was estimated to be located centrally in the respective region as confidentiality of these sites was requested by the provider of the data.

Details are in the caption following the image

Winegrowing sites in the 11 regions in southern Australia (see inset map) where study blocks are located: long term (stars) and short term (circles). Registered winegrape growing regions are depicted (grey). State and territory boundaries are marked with the grey lines in inset map.

Table 1. Details of datasets used including: average growing season temperature (GST; °C) baseline1976–2005; designated total soluble solids (°Bé); the average block ripening rate (°Bé week−1) where measured; the range of years represented (N) (with number of missing years in brackets); and the period represented
Region Average GST (°C) Variety (Block) TSS (°Bé) Ripening rate (°Bé week−1) N range (years) Period
Mornington Peninsula (144.98°E, 38.36°S) 16.6 Pinot Noir 11.6 0.7 26 1984–2009
Chardonnay 11.6 0.4 25 1985–2009
Eden Valley (139.11°E, 34.61°S) 17.2 Shiraz (L) 13.5 na 32 (2) 1973–2009
Shiraz (M) 13.5 na 33 1977–2009
McLaren Vale (138.56°E, 35.18°S) 18.4 Shiraz 12.0 na 115 (10) 1895–2009
Margaret River (115.03°E, 33.91°S) 18.6 Cabernet Sauvignon 12.0 0.7 34 (1) 1976–2009
Rutherglen (146.46°E, 36.04°S) 18.7 Muscat a petit grains 15.0 na 65 (11) 1945–2009
Central Victoria (145.09°E, 36.80°S) 18.9 Shiraz (Mc) 11.0 0.7 64 (6) 1940–2009
Shiraz (S) 11.0 0.7 50 (1) 1959–2009
Marsanne 10.0 0.9 68 (5) 1939–2009
Riesling 11.0 0.5 30 1978–2007
Coonawarra (140.84°E, 37.29°S) 16.8 Shiraz 12.0 0.7 14 1996–2009
Cabernet Sauvignon (1) 12.0 0.5 14 1996–2009
Cabernet Sauvignon (3) 13.0 0.5 13 (1) 1996–2009
Adelaide Hills (138.5°E, 35.00°S) 17.1 Chardonnay 11.0 0.9 17 1993–2009
Eden Valley (139.11°E, 34.61°S) 17.2 Chardonnay 12.0 0.9 14 (1) 1993–2007
Shiraz 13.0 1 15 (1) 1994–2009
Riesling 10.0 0.6 16 1994–2009
Barossa Valley (138.99°E, 34.47°S) 18.5 Chardonnay (2) 11.0 0.9 17 1993–2009
Chardonnay (5) 11.0 1.1 17 1993–2009
Chardonnay (6) 11.0 0.9 17 1993–2009
Chardonnay (8) 11.0 1.2 17 1993–2009
Cabernet Sauvignon 11.0 0.6 17 1993–2009
Semillon 11.0 0.9 17 1993–2009
Riesling (4) 10.0 0.8 17 1993–2009
Riesling (7) 11.0 0.9 17 1993–2009
Riesling (9) 10.0 0.9 17 1993–2009
Grenache 12.0 1.2 17 1993–2009
Clare Valley (138.61°E, 33.83°S) 18.5 Cabernet Sauvignon 12.0 0.8 16 1994–2009
Riesling 11.0 0.8 16 1994–2009
Langhorne Creek (139.03°E, 35.29°S) 18.6 Shiraz (1) 13.0 1 17 1993–2009
Shiraz (5) 13.0 0.8 17 1993–2009
Grenache 13.0 1 15 (2) 1993–2009
Malbec 12.0 0.7 17 1993–2009
Chardonnay 11.0 0.8 17 1993–2009
Riverland (Loxton) (140.57°E, 34.45°S) 20.5 Chardonnay (2) 11.0 0.9 16 (1) 1993–2008
Chardonnay (3) 11.0 0.9 17 (4) 1993–2009
Mataro 12.0 1 17 (3) 1993–2009
Colombard (1) 11.0 0.7 17 1993–2009
Colombard (7) 9.0 0.6 17 (3) 1993–2009
Riverland (Waikerie) (139.99°E, 34.18°S) Shiraz 10.0 0.8 14 1993–2006
Muscat Gordo Blanco (10) 12.0 0.7 17 1993–2009
Muscat Gordo Blanco (9) 12.0 0.7 17 (5) 1993–2009
Grenache 10.0 1 15 1993–2007
  • Long-term blocks (more than 25 years in range) are shaded in grey.
  • na, not applicable.

Data were classified as long term (a range of 25 years or longer, shaded grey in Table 1) and short term where the range of fewer than 25 years of records were available. The number of years in the range of observations was listed with the number of missing years noted in brackets. Data are listed in order of increasing average growing season temperature (Average GST,  °C), of the region, within the overall ‘dataset length’ groupings (Table 1) [see ‘Climate data’ for a definition of Average GST ( °C)].

In most vineyards, representative samples of grapes are collected from separate blocks at short intervals in the lead-up to harvest and sugar concentration measurements are taken from these samples. These measurements assist the grower in planning when to start harvesting a particular block. These records, or similar, were used in this study. Winegrape ripening profiles were derived from the recordings of changing sugar concentrations found in vintage diaries. From this information, the day of year grapes attained ‘maturity’ was derived for each year in every block. The method whereby maturity day was calculated from this data is described below (see ‘Calculation of maturity day’).

In most cases, the records were kept on site, though for the McLaren Vale site the records have also been included in the archival collection at the Adelaide library. Data were obtained through personal visits to wineries with manuscripts and vintage diaries being made available for perusal. Efforts to gain access to additional records from other regions were attempted but were unsuccessful for a variety of reasons such as insufficient time series length, records not kept or lost, or sugar concentration measurements were not available.

Calculation of maturity day

In many phenological studies, the harvest phase is defined as the date that the crop is picked (e.g. Chuine et al., 2004; Meier et al., 2007). However, with regard to winegrapes, harvest day has been described as a false phenophase because this date can be selected to suit changing style preferences or other constraints that can occur through the harvest period, e.g. impending rain or winery logistics (Jones et al., 2005; Petrie & Sadras, 2008). For these reasons, winegrape harvest day is not a physiologically consistent phenophase. In order to make a comparison of interannual ‘harvest date’, we assess the changing timing of the day of year a designated maturity, or level of ripeness, was attained (hereafter known as DOYM) (after Petrie & Sadras, 2008).

Sugars, or total soluble solids (TSS) (unit: degrees Baume or °Bé) (Iland et al., 2000), accumulate in grapes from véraison to harvest as they ripen (Conde et al., 2007). TSS (°Bé) are typically measured and recorded periodically in the month leading up to harvest to assist with vintage planning, as growers attempt to pick the grapes at the optimum TSS level for their purpose (Krstic et al., 2003). By analysing the records of the TSS concentrations as these accumulate we can produce an ‘interannually comparable’ physiological measure of a phenological stage as close as possible to harvest date. The day of year where the ripening profile reached a ‘designated TSS (°Bé)’ level was the metric used to represent ‘maturity date’ the harvest proxy in this study, i.e. DOYM. The designated TSS (°Bé) was selected for each block according to the wine style produced and the likelihood of it being recorded through the course of the harvest planning. For example, the TSS level selected to represent the Muscat à Petit Grains variety grown in the Rutherglen region was 15°Bé as these grapes were generally picked riper to produce a fortified wine, while the Marsanne grapes grown in Central Victoria are used to make a lighter style table wine, hence 10°Bé was the designated TSS in this case (Table 1).

The DOYM had to be derived in cases where the designated TSS (°Bé) for the block (Table 1) was either above or below those recorded for the particular year. Two different methods were employed by which to make adjustments, the approach being guided by the availability and type of data recorded in the diaries. In the majority of cases winegrape harvest planning records were available (i.e. for all of the short-term datasets, Mornington Peninsula, Margaret River and Central Victorian blocks). For these datasets, DOYM was extrapolated from annual ripening profiles. An example of the extrapolation procedure is demonstrated for the Marsanne block (Central Victoria), over the observation period 1970–1979 (Fig. 2). In this example, the accumulation of sugars is noted for each year of the decade as the grapes progressed through the ripening period. Where grapes did not actually achieve the designated maturity level of 10°Bé (the value selected as representative of maturity for this variety at this site), i.e. in 1972 and 1977, the line was extrapolated with the calculated average ripening rate for the block (This process was also carried out using a decadal ripening rate for each block in case there was some change in the rate through time. Using this method made no difference to the results so the more simple approach of applying the average ripening rate calculated over the entire period of observation is presented here.) (0.9°Bé week−1) (Table 1). [The average rate of accumulation of sugar (°Bé week−1) has been calculated from the records for each block and this varies, ranging from 0.4°Bé week−1 for Chardonnay in the Mornington Peninsula to 1.2°Bé week−1 for the same variety in the Barossa Valley.] Therefore, the derived maturity date for the years 1972 was ‘adjusted day 79’ and 1977 was ‘adjusted day 83’. This method was used to estimate DOYM in about one-third of the years overall and for half of these, records were <1°Be different from the designated TSS (°Bé).

Details are in the caption following the image

Harvest planning records [total soluble solids (°Bé)], plotted for the years 1970–1979 for the Marsanne block (Central Victoria). In the years 1972 and 1977 (red lines), the level of 10°Bé was not attained so the ‘maturity date’ was extrapolated using the average ripening rate for the block. Average rate of sugar accumulation for this block was 0.90°Bé week−1 (see Table 1).

In the case of the Eden Valley and Rutherglen, diary records were kept of harvest day, TSS level (°Bé) and tonnes harvested for that day (where the grapes were harvested over successive picks), but harvest planning records were not available. For these datasets, the yield weighted average harvest day and TSS level (°Bé) were calculated. The maturity day was adjusted using the average rate of advance calculated for all of the datasets combined [0.8°Bé week−1 (When considering the regions for which we are adjusting the DOY at maturity in this case, they are in the mid-range of climate relative to the other regions in the study. Selection of a mid-range, or average, rate of ripening used to make adjustments therefore seemed sensible.); the average of the ripening rate (°Bé week−1) for all blocks listed in Table 1], with the ‘adjusted day’ estimated to be when the ‘designated TSS (°Bé) level’ would be attained for the particular site. For the Eden Valley site only about 20% of the years had adjustments that involved a greater than 1°Bé shift. For the Rutherglen region, however, the grapes were harvested across a wider range of Baume levels so greater adjustments were necessary; about half the years with adjustments of >1°Bé.

While the harvest date was recorded for McLaren Vale Shiraz, TSS was only noted through the latter part of the time series (1990–2009). Owing to the extremely long time series of harvest dates available for the McLaren Vale Shiraz block (1895–2009), however, we elected to present the ‘harvest date’ data alongside the DOYM data of all of other blocks in this study. The winery owner stated that approximately 12°Bé was the targeted level of ripeness at harvest commencement throughout the history of the site. Adjustments were made for the 1990–2009 series where necessary using the average rate of 0.8°Bé week−1 (as above). We emphasize however, ‘the maturity date’ was likely to vary from the ‘harvest date’ if grapes were harvested at a different sugar concentration each year.

Trend in maturity day

Trend analysis of DOYM of all of the time series has been undertaken for:

  • the total period of observation for the long-term datasets as these vary;

  • for 1985–2009 (25 years), the time period common to long-term blocks;

  • and 1993–2009 (17 years) the time period common to all blocks.

Linear regression against time is a long established statistical tool widely used in phenological research to study trends (Sparks & Tryjanowski, 2010) and has been applied in this analysis. Other regression models were also tested to determine the presence of higher order relationships.

Calculation of length of harvest period

If DOYM is more advanced in later ripening varieties than earlier ripening varieties a compression of the harvest period may occur i.e. the time from the beginning to the completion of harvest is reduced. To determine whether this occurred, the range of days from the first DOYM and the final DOYM across varieties was assessed for all the blocks in each region, and overall regions, over comparable parts of the time series. These time periods are 1985–2009 inclusive [10 blocks (Central Victoria (Cr2) block was omitted from this grouping as 2008 and 2009 data are missing.) from six regions] and 1993–2009 inclusive [30 blocks (McLaren Vale (Bl6), Eden Valley (L) and Central Victoria (Cr2), Coonawarra (Co2, Co1, Co3), Eden Valley (E1, E2, E3), Clare Valley (Cl1, Cl2), Loxton (R2), Waikerie (R5, R11) are omitted as the vintage year 1993 was not represented in these blocks.) from nine regions] were included. Blocks with missing data at the beginning and end of the series were omitted to ensure a consistent time frame was used (see Table 1).

Climate data

Daily maximum and minimum temperature data from 1911–2009 were obtained from 0.05°× 0.05° gridded data produced for the Australian continent by Jones et al. (2009). These daily surfaces were calculated using Australian Bureau of Meteorology's network of high quality temperature stations. Data were extracted from the daily temperature surfaces corresponding to the latitude/longitude location of the site (Table 1). Average growing season temperature from October to April (°C) [an average of the mean monthly temperatures (monthly maximum temperature+monthly minimum temperature)/2, from October to April inclusive], hereafter abbreviated to Average GST (°C), was selected as a temperature measure for comparison with trends in DOYM. This temperature measure has been found to be most closely associated with the timing of phenological phases of véraison and harvest in similar studies (Jones et al., 2005). A temperature time series of Average GST (°C) were calculated for each year corresponding with vineyard observations at each location. Linear trends in the temperature measure were calculated for three time periods: period of vineyard observations; 1985–2009; and 1993–2009, as with DOYM described previously.

Average GST (°C) was also calculated for the climatological baseline period of 1976–2005 for each region to illustrate the range of climates and relative differences between the regions (Table 1).

Results

Trend in maturity day

Time series of maturity date for the total period of observation are shown for six blocks from four selected sites (Fig. 3), with calculated trends also shown for all sites (Table 2). For two blocks from the Central Victorian region, Marsanne and Shiraz (M) (Fig. 3a), a trend to earlier maturity is evident through the time series as indicated by the slope of the fitted linear regression lines (also shown in Table 2). The shift in average DOYM across this time series of about 24 days is observed for these blocks over this period, about 0.3 days earlier per year. A similar response was observed in the Muscat à Petit Grains block in the Rutherglen region, though this trend is not significant (Fig. 3b). Compared with these, the Mornington Peninsula blocks display a significant trend to earlier ripening at a faster rate (1.5 days yr−1), though this trend was noted through a shorter and later period of observation (Fig. 3c). The Eden Valley sites have lower (nonsignificant) rates of change to maturity (Table 2). It is interesting to note that in the Margaret River, Cabernet Sauvignon site, the best-fit linear regression line indicates grapes were ripening slightly later in the year over the time series, and while this is not statistically significant, this was the only block showing this trend direction (Fig. 3d).

Details are in the caption following the image

The observed day of year (DOY) at maturity recorded for six blocks from four regions (a) Central Victoria: Marsanne (1939–2009) (solid circles), Shiraz (Mc) (1940–2009) (open circles) and (b) Rutherglen: Muscat a Petit Grains (1945–2009) (c) Mornington Peninsula: Chardonnay (1985–2009) (solid circles) and Pinot Noir (1984–2009) (open circles) and (d) Margaret River: Cabernet Sauvignon (1973–2009). The best fit linear regression indicates the average trend in the maturity day (see also Table 2).

Table 2. Trends in day of year at maturity (DOYM, days yr−1): the full period of observation of the long-term series (see Table 1); the time period common to long-term blocks (1985–2009); and the time period common to all blocks (1993–2009)
Region Variety (Block) Trend DOYM (days yr−1)
Full period of observations 1985–2009 1993–2009
Mornington Peninsula Pinot Noir −1.5 ± 0.5** −1.6 ± 0.6** −2.3 ± 1.0**
Chardonnay −1.5 ± 0.7** −1.5 ± 0.7** −2.6 ± 1.0**
Eden Valley Shiraz (L) −0.1 ± 0.5 −0.4 ± 0.8 −1.5 ± 1.6
Shiraz (M) −0.2 ± 0.4 −0.8 ± 0.8 −1.5 ± 1.1**
McLaren Vale Shiraz −0.1 ± 0.1* −0.6 ± 0.8 −1.4 ± 2.1
Margaret River Cabernet Sauvignon 0.1 ± 0.5 −0.1 ± 0.7 0.1 ± 1.4
Rutherglen Muscat a petit grains −0.3 ± 0.3 −0.3 ± 1.4 −2.9 ± 2.4*
Central Victoria Shiraz (Mc) −0.3 ± 0.1** −0.8 ± 0.5** −1.6 ± 0.9**
Shiraz (S) −0.4 ± 0.2** −1.3 ± 0.6** −2.3 ± 1.0**
Marsanne −0.3 ± 0.1** −0.8 ± 0.6** −1.4 ± 1.0*
Riesling −0.4 ± 0.7 −1.0 ± 1.1 −1.3 ± 2.2
Coonawarra Shiraz −3.5 ± 1.7**
Cabernet Sauvignon (1) −3.8 ± 1.3**
Cabernet Sauvignon (3) −3.5 ± 1.8**
Adelaide Hills Chardonnay −0.9 ± 1.1
Eden Valley Chardonnay −2.0 ± 1.3**
Shiraz −3.2 ± 1.5**
Riesling −2.1 ± 1.8*
Barossa Valley Chardonnay (2) −1.3 ± 1.0*
Chardonnay (5) −1.9 ± 1.1**
Chardonnay (6) −1.1 ± 1.0*
Chardonnay (8) −1.4 ± 1.0**
Cabernet Sauvignon −1.7 ± 1.3*
Semillon −1.3 ± 1.1*
Riesling (4) −1.0 ± 1.0*
Riesling (7) −0.8 ± 1.1
Riesling (9) −1.1 ± 1.0*
Grenache −1.4 ± 1.3*
Clare Valley Cabernet Sauvignon −1.7 ± 0.9**
Riesling −1.8 ± 1.0**
Langhorne Creek Shiraz (1) −1.4 ± 1.2*
Shiraz (5) −2.7 ± 0.7**
Grenache −0.4 ± 1.0
Malbec −1.1 ± 0.9*
Chardonnay −1.3 ± 0.9**
Riverland (Loxton) Chardonnay (2) −1.5 ± 1.2*
Chardonnay (3) −1.6 ± 1.2*
Mataro −1.4 ± 1.6
Colombard (1) −3.2 ± 0.9**
Colombard (7) −1.8 ± 1.5*
Riverland (Waikerie) Shiraz −1.5 ± 1.0**
Muscat Gordo Blanco (10) −2.6 ± 1.1**
Muscat Gordo Blanco (9) −1.5 ± 1.3*
Grenache −1.1 ± 1.6
  • Significant trends ( ** P<0.01 , * P<0.05)
    are shaded in grey and 95% confidence interval indicated.

For the McLaren Vale site, TSS level was available only from 1990, but harvest date data extended back to 1895. Trends in both harvest date and estimated DOYM are shown (Fig. 4). For both series a trend to earlier maturity is evident, although it is also clear that after 1990 grapes were harvested at a higher sugar level than 12°Bé (i.e. later in the year). The trend in DOYM, where sugar levels were recorded (1990–2009) was about 1.3 days yr−1 earlier for this block (not shown in Table 2).

Details are in the caption following the image

McLaren Vale Shiraz: Observed harvest commencement date (solid circles) and day of year at maturity( DOYM, hollow squares) recorded for respective time series (see Table 1). Regression lines indicate the trends in the harvest day and DOYM as these vary.

It is apparent that, with the exception of the Margaret River Cabernet Sauvignon block, a trend to earlier maturity for all of the blocks and through all of the time series has occurred. The trend to earlier maturity is statistically significant for six out of the 11 long-term blocks for the time period for which records were available. For the period 1993–2009, 35 of the 44 vineyard blocks assessed have a statistically significant trend to earlier maturity (Table 2).

A cross-regional trend comparison is possible where consistent time frames, 1985–2009 and 1993–2009, are imposed on the data (Table 2). For the 1985–2009 period the trend in the DOYM ranges from about 1.5 days yr−1 earlier in the Mornington Peninsula, about 1 day yr−1 earlier in Central Victoria, to 0.1 days earlier in Margaret River. The average shift in DOYM was 0.8 days yr−1 earlier across the 1985–2009 period. The average shift overall the long-term blocks for the time-period of 1993–2009 for was 1.6 days yr−1 earlier, about twice the rate compared with the period 1985–2009 for the same long-term datasets.

This accelerating rate of change was observed across all the long-term datasets where earlier maturity was detected (Table 2) and is illustrated by the comparison of linear trends, fitted for the three time periods for the Marsanne block (Central Victoria) (Fig. 5). In this case, for the observed series (1939–2009) the trend of about 0.3 days yr−1 earlier is found, whereas for the period 1985–2009 the rate increased to 0.8 days yr−1 and finally over the 1993–2009 period, grapes were ripening about 1.4 days yr−1 earlier for this variety in Central Victoria. Because the pattern of the change in the ripening rate may indicate a nonlinear trend, all the long-term datasets were fitted with a quadratic model. However, no improvement to the fit of the data was detected by using the higher order relationship.

Details are in the caption following the image

Marsanne (Central Victoria): trends in rate of change in DOYM for three time periods calculated: observed series (1939–2009) solid line; 1985–2009 dashed line; and 1993–2009 dotted line (also see Table 2).

Winegrape harvest compression analysis

For the period, 1993–2009, the average range of DOYM over the 30 blocks was 63 days (from 46 to 79 days) (Fig. 6), with individual vineyards DOYM period ranging from 24 to 120 days depending on the region and year (not shown). Analysis of the trend in the range of DOYM for the 30 blocks over this period indicated a compression of 1.1 days yr−1 overall of the regions through this period (P=0.02).

Details are in the caption following the image

Range of days of year at maturity for 30 blocks (where data for 1993 and 2009 are recorded) as this varies through the time series (1993–2009). The number of missing data are plotted (grey bars) indicating the lowest representation being 27 blocks in years 2003 and 2006.

For the 10 blocks, representing the period 1985–2009 the average maturity day range was 55 days (34–84 days), with individual regional minimum of 38 days, and maximum of 135 days. While it was evident that the range of maturity days, from earliest to latest observed, was decreasing at about 0.4 days yr−1 through the time period 1985–2009, this trend was not significant (P=0.37) (data not shown). From this evidence it appears that, to date, there has been no significant trend in compression of the harvest period from 1985 to 2009.

This trend in compression was also studied on a regional basis where more than one block had been assessed in the region. A significant trend to a compression in DOYM was found for the six Riverland blocks (1.3 days yr−1; P=0.02) and also the three Central Victorian blocks (0.6 days yr−1; P=0.01). There was a nonsignificant trend in compression of maturity evident for the 10 Barossa Valley blocks (0.4 days yr−1; P=0.47) and the five Langhorne Creek blocks (0.1 days yr−1; P=0.9). In the Mornington Peninsula, no compression of maturity was evident. While not exhaustive, this analysis suggests that compression of the harvest period was likely to be site specific and dependent on the varietal mix.

Average growing season temperature trend in relation to the maturity trend

Average growing season temperature for all but one region (Margaret River) has been warming (Table 3), the rate varying by region and by time period, with the more recent period warming faster than over the longer term. When comparing the same period of time 1985–2009 or 1993–2009, it was generally the inland regions that were warming at a faster rate compared with the more coastal sites (Table 3).

Table 3. Trend in average growing season temperature (GST, °C yr−1): the full period of observation of the long-term series (see Table 1); the time period common to long-term blocks (1985–2009); and the time period common to all blocks (1993–2009)
Region Variety Trend in average GST (°C yr−1)
Full period of observations 1985–2009 1993–2009
Mornington Peninsula Pinot Noir 0.03 ± 0.03 0.02 ± 0.03 0.06 ± 0.06*
Chardonnay 0.03 ± 0.03
Eden Valley Shiraz (L) 0.01 ± 0.02 0.03 ± 0.03* 0.07 ± 0.06*
Shiraz (M) 0.02 ± 0.02
McLaren Vale Shiraz 0.01 ± 0.00** 0.03 ± 0.03 0.07 ± 0.06*
Margaret River Cabernet Sauvignon −0.01 ± 0.02 −0.002 ± 0.03 −0.02 ± 0.05
Rutherglen Muscat a Petit Grains 0.01 ± 0.01* 0.06 ± 0.04* 0.12 ± 0.07**
Central Victoria Shiraz (Mc) 0.01 ± 0.01** 0.04 ± 0.04* 0.09 ± 0.06**
Shiraz (S) 0.01 ± 0.01
Marsanne 0.01 ± 0.01**
Riesling 0.01 ± 0.03
Coonawarra (1996–2009) 0.06 ± 0.09
Adelaide Hills 0.07 ± 0.06*
Eden Valley (as above) 0.07 ± 0.06*
Barossa Valley 0.08 ± 0.06*
Clare Valley (1994–2009) 0.07 ± 0.07
Langhorne Creek 0.06 ± 0.05*
Riverland (Loxton) 0.08 ± 0.04**
Riverland (Waikerie) 0.06 ± 0.06*
  • Significant trends ( ** P<0.01 , * P<0.05)
    are shaded in grey and 95% confidence interval indicated.

In all regions where a warming trend in the Average GST ( °C) was observed, maturity was trending earlier. It was interesting to note that, where there has been a cooling trend in Average GST ( °C) for the period of observation, this has been associated with a trend to later maturity (Margaret River), though the trends were not significant.

Discussion

Ten out of the 11 long-term blocks in this assessment were maturing earlier in the year, compared with earlier decades (six significantly so). Further, in 43 of the 44 winegrape blocks assessed across Australia, though over a shorter period (1993–2009), a trend to earlier maturity has been detected with 35 of these displaying a statistically significant trend. The trend to earlier ripening over the 1993–2009 period of between half and three days yr−1 was of the same order as that reported by Petrie & Sadras (2008).

Assessment of trends in harvest dates may inadvertently include some nonclimatic influences or signals (Pearce & Coombe, 2004). By assessing the trend in a biophysical measure of maturity i.e. sugar concentration, rather than the ‘harvest date’ measure (as used by Le Roy Ladrie (1988), Chuine et al. (2004), Meier et al. (2007) and Rochard (2009), for example), the influence from many nonclimate drivers that may affect timing of harvest can be eliminated. For example, with trends to higher alcohol wines being produced in recent decades (Godden & Gishen, 2005; Seguin & Gaudillere, 2007), measurement of a trend in harvest day rather than ‘maturity’ may have underestimated the actual phenological shift. This ‘nonclimatic’ driver effect on phenological time series can be clearly seen when comparing the trend of the harvest date with that of the maturity date of the McLaren Vale Shiraz block in this study. In order to measure phenological sensitivity to climate, use of a biophysical harvest proxy, rather than actual harvest date, gives potentially more accurate results.

Winegrape intake schedules are often designed around the capacity of the winery. If the phenology of the different varieties is affected to varying extents, then the harvest period can be either compressed or spread out. If DOYM is advanced more in later ripening varieties than earlier ripening varieties a compression of the harvest period may occur (Webb et al., 2007; Van Vliet, 2010). This would create problems for winegrape intake scheduling in wineries at harvest time, and make it more difficult to process each batch of fruit at the time when grape quality in the vineyard is deemed ‘optimal’, having important implications for planning of infrastructure and staffing during this time (Webb et al., 2010). Based on this assessment a compression of maturity date of 1.1 days yr−1 was observed for the 1993 to 2009 period (all regions were included in this analysis), and across some regions individually. We suggest that while this phenomenon is likely to be vineyard specific and dependent on the relative sensitivity of varieties to temperature changes, with further warming compression of the harvest period may increase further, exacerbating scheduling problems.

For the period of observation and for the sites assessed in this study, a warming trend has been observed in Average GST ( °C) in all but the Margaret River region in Western Australia; the Margaret River being the site of the only block not maturing earlier. Furthermore, the increased rate of warming in the later periods is consistent with the trend to earlier DOYM also increasing over time.

This study provides evidence that regional warming may be advancing maturation, and given that recent warming trends in Australia have been attributed to anthropogenic influence (Karoly & Braganza, 2005), this study may indicate the effect of anthropogenic climate change on winegrape phenology. However, before this conclusion can be drawn, all possible causes of the shift in maturity day should be considered. In a recent study, rainfall, as well as temperature, was found to be important in relation to advance of full bloom dates of apple and pear trees in South Africa (Grab & Craparo, 2010). If rainfall shifts are affecting DOYM in these blocks, then support for an anthropogenic GHG fingerprint on the trend is weakened. This is because to date, in southern Australia, causes of shifts in rainfall have not been linked to anthropogenic climate change; changes are attributed to normal interannual variability (Nicholls, 2008; CSIRO, 2010).

Furthermore, as this was a study of a managed biological system, direct human influence in the biophysical response should be considered. Introduction of some vineyard management practices in Australia over the recent decades may have influenced physiological processes and therefore the ripening rate. Changing irrigation practices through time from flood irrigation to drip irrigation (Iland, 2004), and further reduced water availability in recent drier years (Nicholls, 2008) may have resulted in reduced yields in some regions (Gunning-Trant, 2010). Reduced yields are associated with earlier ripening, all other variables remaining equal (Botting et al., 1996). Reduced yields have, in fact, been encouraged at some sites by intentionally reducing irrigation rates (Goodwin & Jerie, 1992) in an effort to improve the quality of the grapes for winemaking (McCarthy et al., 1986).

Finally, changes to atmospheric carbon dioxide (CO2) concentrations may also impact winegrape maturity either directly through increased accumulation of carbon containing compounds (Drake et al., 1997), through altered phenological processes caused by increased atmospheric CO2 (Springer & Ward, 2007; Springer et al., 2008), or perhaps through increased plant temperatures produced from reduced evapotranspiration (Leakey et al., 2006). Whether increased CO2 concentrations would advance maturity or delay it is unknown. Past free CO2 enrichment (FACE) studies in winegrapes (Bindi et al., 1996, 2001) report some effects on yield and on grape sugar level through the ripening period, but at time of harvest there was no difference in timing due to CO2 effects. For this reason it is suspected that CO2 would not have a large impact on maturity dates, though further work on effects of enhanced concentrations of CO2 on winegrape phenology and other physiological impacts would be of interest to the industry.

Modelling of anticipated changes to winegrape phenology has been undertaken for Australia (Webb et al., 2007). Comparing the sensitivity of DOYM with temperature shifts of the observed with the modelled results is of interest. The direction of change in the observations is found to be consistent with results from modelling studies, with projected warmer temperatures expected to result in earlier maturity dates at all sites except for the Margaret River (Webb et al., 2007). However, the magnitude of the observed shifts are in some cases larger than would be expected. Modelled shifts would be expected in the order of up to 15 days earlier a warming of about 0.7 °C occurred (Webb et al., 2007), not the 24 days that has been observed in Central Victoria, or the 40 days as was observed in the Mornington Peninsula. At some sites e.g. the Margaret River and Eden Valley sites, the observed result is consistent with modelled result. With regard to regions where shifts in the observations greater than expected, it could be plausible that either, (a) drivers other than temperature are having an influence on the vineyard maturity rate or, (b) that the previous modelling study may have underestimated possible future shifts in phenology.

Further study of the shift in maturity rate is warranted. A range of potential climate drivers and nonclimate drivers that may be affecting the trends in maturity day will be explored in a subsequent attribution analysis of these winegrape maturity trends. By understanding the factors driving phenological timing shifts there may be potential to better manage time to maturity if desired, and therefore potentially enhancing the adaptive capacity of vineyard managers to these shifts to earlier maturity of winegrapes (Webb et al., 2007).

Conclusion

A trend to earlier maturity of the winegrape crop in Australia has occurred in all but one region (of 12 assessed) in recent decades. Where the trend in this shift to earlier maturity is observed, it has been accelerating through the time series. The trend to earlier maturity was associated with warming temperature trends for all of the blocks assessed in the study. In the one region where maturity was not earlier, no warming was observed for the period studied. Indications of a possible link between the maturity rate and the Average GST ( °C) of the respective regions require further exploration. Attribution of the trend to earlier ripening, where temperature and other potential climate and nonclimate drivers are assessed, will be investigated in a subsequent analysis.

A shift in maturity date, and therefore harvest date, has implications for the wine industry with quality impacts likely and the possibility of vineyard logistics being affected. With projected climate shifts likely to result in continued advancement of maturity, and perhaps further compression of the vintage period, these impacts will continue to occur with increasing implications. Adaptation planning to reverse some of the potential negative consequences is advised.

Acknowledgements

I wish to thank Roger Jones (Victoria University), Greg Jones (Southern Oregon University), and Rebecca Darbyshire (University of Melbourne) for assistance with vineyard datasets and analysis. Ian Smith and Peter Briggs (CSIRO) and Ailie Gallant (University of Melbourne) for provision of climate data. Pandora Hope (Australian Bureau of Meteorology) for useful discussions regarding the climate trends. Lynda Chambers (Australian Bureau of Meteorology), Jonas Bhend (CSIRO) and three anonymous reveiwers for useful critical comments. Finally, Paul Petrie (Fosters Group Limited), Nat White (Main Ridge Estate), Alister Purbrick and Robyn Sutherland (Chateau Tahbilk), Stephen and Bill Chambers (Chambers Rosewood Wines), Trevor Kent and Vanya Cullen (Cullen Wines, Western Australia), Stephen and Prue Henschke (Henschke Wines) and Colin Kay (Kay Brothers Amery Wines) and their forebears who all recorded vineyard datasets and made them available for this analysis. This work was partly funded by the CSIRO Climate Adaptation National Research Flagship and also by the Australian Grape and Wine Research and Development Corporation.

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