Evaluating environmental factors, geographic scale and methods for viticultural zoning in the high-altitude region of Santa Catarina, Brazil

Vianna, Luiz Fernando de Novaes; Massignan, Angelo Mendes; Pandolfo, Cristina; Dortzbach, Denílson

doi:10.1016/j.rsase.2018.10.018

Cited by 8 publications

(9 citation statements)

References 33 publications

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“…The suitability model was built by combining spatial analysis, multivariate statistics, multicriteria analysis, and map algebra 24,33,34 . A suitability map for each selected variable was generated by pixel reclassi cation.…”

Section: Application Of the Model Using Spatial Analysismentioning

confidence: 99%

“…For physiographic suitability analysis, we used the 90-meter resolution Digital Elevation Model (DEM) of Shuttle Radar Topographic Mission (SRTM) 22 . From SRTM-DEM, we derived four terrain metrics: altitude (Alt), slope (Slp), topographic position index (TPI) and cosine of aspect (CosAspec) [23][24][25] . The climatic grids of annual mean of minimum temperatures (Tmin), annual mean temperatures (Tmea), annual mean of maximum temperatures (Tmax), annual number of frosts (NrFrost) and annual probability of frosts (ProbFrost) were also derived from SRTM-MDT, using regression equations from climatological data 26,27 .…”

Section: Input and Pre-processing Datamentioning

confidence: 99%

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Potential cultivation areas of Euterpe edulis (Martius) for rainforest recovery, repopulation and açai production in Santa Catarina, Brazil

Vianna

Zambonim

Pandolfo

2022

Preprint

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Euterpe edulis is an endangered palm species that provides the most important non-timber forest product exploited in its natural habitat, the Brazilian Atlantic Forest hotspot1,2. From 1991 to 2017, pasturelands, agriculture, and monoculture of tree plantations were responsible for 97% of Atlantic Forest deforested areas in Brazil and Santa Catarina was one of the Brazilian states with the greatest loss of forest area 3. In the last decade, E. edulis fruits reached their highest commercial value, producing the southeastern equivalent of Amazonian ‘‘açai’’ (Euterpe oleracea) 4–6. As a shade-tolerant species, E. edulis adapts very well to agroforestry systems 5,7. To evaluate potential areas for cultivation of E. edulis through agroforestry systems, we developed and applied a spatial model for mapping suitable areas. To accomplish this, we analyzed multisource biophysical data and E. edulis distribution data from the Forest Inventory of Santa Catarina. We identified two areas with potential occurrence of the species, one in the domains of coastal Dense Ombrophilous Forest where the species is more common and another in the domains of inland Deciduous Seasonal Forest where its occurrence was suspected, but not proven, until 2021. Today, Deciduous Seasonal Forest is the most fragmented and impacted by agriculture. Our model, together with confirmed areas of occurrence, indicates that deciduous seasonal forest region should be prioritized for production and recovery of E. edulis through agroforestry systems.

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Section: Application Of the Model Using Spatial Analysismentioning

confidence: 99%

Section: Input and Pre-processing Datamentioning

confidence: 99%

Potential cultivation areas of Euterpe edulis (Martius) for rainforest recovery, repopulation and açai production in Santa Catarina, Brazil

Vianna

Zambonim

Pandolfo

2022

Preprint

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“…Along with grape culture, the city began the production of high-altitude wines, a promising activity that allied with tourism, turning wine tourism into an economic development alternative. As a new wine-producing region, São Joaquim has been studied for its high altitude, situated at 1,360m above sea level, and its favourable environmental characteristics for the production of fine wines (Vianna et al, 2019a). Its edaphoclimatic characteristics 1 proved to be unique for the production of quality wines (Cordeiro, 2006) and the success of wine producers has attracted tourists to the area.…”

Section: Background To the Case Studymentioning

confidence: 99%

“…Santa Catarina currently has 269.2 km² of grape culture distributed among 525 vineyards, with an altitude higher than 900m above sea level (Vianna et al, 2019a). In Studies on other Brazilian wine-growing regions demonstrate that the development process responded to an inverse logic to that which occurred in the state of Rio Grande do Sul.…”

Section: Background To the Case Studymentioning

confidence: 99%

Geographic Information Systems are critical tools to manage wine tourism regions

Minasi

Lohmann

Valduga

2020

Tourism Geographies

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“…More recently, various studies have used multivariate statistical methods to group wine regions based on climatic indexes or climate variables. Examples of these studies are Herrera Nunez et al (2011) in Italy, Montes et al (2012) in Chile, Shaw (2012) in 25 Pinot Noir regions around the world, Fraga et al (2016) and Fraga et al (2017) in Portugal, Moral et al (2016) in Spain, Karlík et al (2018) in Austria, Cardoso et al (2019) in Northwest Iberia, and Vianna et al (2019) in Brazil. With the exception of Shaw (2012), who focused on selected Pinot Noir regions from eight countries, these studies focused on just one or two countries.…”

Section: Introductionmentioning

confidence: 99%

A climatic classification of the world’s wine regions

Puga

Anderson

Jones³

et al. 2022

OENO One

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Using a dataset with 16 climate variables for locations representing 813 wine regions that cover 99 % of the world’s winegrape area, we employ principal component analysis (PCA) for data reduction and cluster analysis for grouping similar regions. The PCA resulted in three components explaining 89 % of the variation in the data, with loadings that differentiate between locations that are warm/dry from cool/wet, low from high diurnal temperature ranges, low from high nighttime temperatures during ripening, and low from high vapour pressure deficits. The cluster analysis, based on these three principal components, resulted in three clusters defining wine regions globally, with the results showing that premium wine regions can be found across each of the climate types. This is, to our knowledge, the first such classification of virtually all of the world’s wine regions. However, with both climate change and an increasing preference for premium relative to non-premium wines, many of the world’s winegrowers may need to change their mixes of varieties, or source more of their grapes from more appropriate climates.

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Evaluating environmental factors, geographic scale and methods for viticultural zoning in the high-altitude region of Santa Catarina, Brazil

Cited by 8 publications

References 33 publications

Potential cultivation areas of Euterpe edulis (Martius) for rainforest recovery, repopulation and açai production in Santa Catarina, Brazil

Potential cultivation areas of Euterpe edulis (Martius) for rainforest recovery, repopulation and açai production in Santa Catarina, Brazil

Geographic Information Systems are critical tools to manage wine tourism regions

A climatic classification of the world’s wine regions

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