Utilizing GIS Technologies in Selection of Suitable Vineyard Sites

Kurtural, S. Kaan; Dami, Imed; Taylor, Brad

doi:10.1300/j492v06n03_07

Cited by 16 publications

(20 citation statements)

References 2 publications

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“…VID, Vineyard Identification Number. Adopting measures such as those recommended by Poling (2008) and Trought et al (1999), including purpose-built sprinkler systems, heaters or wind machines, would ultimately result in such areas becoming more economically viable on the provision that adequate heat accumulation and soil properties are within acceptable ranges as detailed by Kurtural et al (2007), Hall and Jones (2010) and Yau et al (2014). As frost risk was developed with viticulture suitability in mind, risk ratings with respect to levels of suitability can be linked to suitable, moderately suitable and unsuitable classes corresponding to <1 frost every 10 years (<10%), >1/10 to 1 frost every 2 years (10-50%) and >1 frost every 2 years (>50%).…”

Section: Vidmentioning

confidence: 99%

“…Studies by Kurtural et al (2007) and Schultze et al (2014) mapped extreme cold temperature values and the number of frost days, respectively, but relied on sparsely located weather station data to produce modelled spatial outputs. Studies by Kurtural et al (2007) and Schultze et al (2014) mapped extreme cold temperature values and the number of frost days, respectively, but relied on sparsely located weather station data to produce modelled spatial outputs.…”

Section: Introductionmentioning

confidence: 99%

“…And such details are often not captured in broadscale analysis (Chung et al 2006, Yau et al 2014. Kurtural et al (2007) advocated that such information could be obtained from conducting surveys of existing commercial plantings to gauge the frequency of damaging frost events linked to viticulture suitability. The study mapped minimum temperature values over a short period of time-that is relied on five spring seasons to ascertain the hazard map-to identify locations to install frost protection systems for existing vineyards.…”

Section: Introductionmentioning

confidence: 99%

“…Limited research has been done in successfully delineating frost hazard or frost risk to a high level of detail, despite its importance as a climate variable to winegrape production. Studies by Kurtural et al (2007) and Schultze et al (2014) mapped extreme cold temperature values and the number of frost days, respectively, but relied on sparsely located weather station data to produce modelled spatial outputs. Kurtural et al (2007), for example, used 83 climate stations to guide interpolation at 100 m resolution across the state of Illinois, USA, to produce macroscale climate layers that contributed to a cartographic model to delineate new potential vineyard sites.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, there is a need to properly and empirically gauge frost risk catered to the level of perceived crop loss and risk to winegrowers. Kurtural et al (2007) advocated that such information could be obtained from conducting surveys of existing commercial plantings to gauge the frequency of damaging frost events linked to viticulture suitability.…”

Section: Introductionmentioning

confidence: 99%

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Spatial analysis of frost risk to determine viticulture suitability in Tasmania, Australia

Webb

Pirie

Kidd

et al. 2017

Australian Journal of Grape and Wine Research

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Background and Aims New sites for viticulture should be located in areas where damaging spring frosts are less frequent and/or severe in order to remain economically viable. The aim of this study was to spatially determine frost risk at a high resolution (80 m) and develop new rules catered to viticultural suitability with respect to frost sensitivity for vines after budburst in spring across the state of Tasmania, Australia. Methods and Results Frost risk was mapped for minimum temperature thresholds at −3, −2, −1, 0, 1 and 2°C using temperature values from 636 short‐term recording sites and linked to 57 Australian Bureau of Meteorology climate stations. Frost risk was spatially determined using regression tree interpolation and assessed against historical winegrape frost damage records garnered from survey information. Analysis indicated that the frost risk surfaces were accurate in portraying risk at the mesoclimate level and aligned well with grower expectations for frost risk modelled at ≤−1°C. Conclusions Classifications of suitable, moderately suitable and unsuitable corresponding to <1 frost every 10 years (<10%), >1/10 to 1 frost every 2 years (10–50%) and 1 > frost every 2 years (>50%) for temperature values ≤−1°C was found to correlate well with viticulture suitability with regard to frost risk (after budburst) in Tasmania. Significance of the Study This study presents a methodology for producing high‐resolution frost risk maps across large land areas that can accurately identify sites prone to damaging spring frosts and inform on new potential viticulture sites with suitability in mind.

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Section: Vidmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatial analysis of frost risk to determine viticulture suitability in Tasmania, Australia

Webb

Pirie

Kidd

et al. 2017

Australian Journal of Grape and Wine Research

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Multi‐criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine

2022

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BACKGROUND In this study, the quality of land suitability for vine cultivation in south‐western Iran was evaluated and a land suitability map for vine cultivation was developed using the fuzzy‐analytic hierarchy process (AHP). The best harvest time of vines was determined based on the relationship between total soluble solids (TSS) and titratable acidity (TA) with fruit colour (red, green, and blue or RGB) in ten points and also the growing degree‐days (GDD) maps from April to December. The relationship between GDD and effective parameters in vine cultivation was determined using principal component analysis (PCA) and Pearson correlation methods. RESULTS The results illustrated that the maximum temperature and relative humidity (RH) have the greatest effect on vine cultivation and its yield (weight 0.24). The results of the land suitability map showed that central regions have better conditions for growing vines (32%). The measurements of TA and TSS depicted that vines of the northern parts have higher TA and lower TSS and there is a significant relationship between them and fruit colour. The results of GDD maps showed that the harvest time of ruby vine and Gezel‐azm is July and August, respectively. Also, the temperature (Tmean, Tmax and Tmin), wind speed, and GDD were the most important parameters to determine the best location for vine cultivation. CONCLUSION Determining land suitability for cultivation, the best harvest time, the time of grape ripening, and following the exact time of export and import of vine has a vital role to increase its productivity and services. © 2022 Society of Chemical Industry.

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