Spatial modeling of human exposure to soil contamination—an example of digital soil assessment

Caudeville, Julien; Goovaerts, Pierre; Carré, François; Bonnard, Roseline; Arrouays, Dominique; Jolivet, Claudy; Saby, Nicolas; Boudet, Céline

doi:10.1201/b12728-8

Cited by 3 publications

(2 citation statements)

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“…This should be implemented in each DAC region that labels products based on GIs. The cluster analysis method of identifying vineyard zones has been used in research (Herrera Nuñez et al, 2011;Hugues et al, 2012;Priori et al, 2014), and these authors delimit homogenous zones of natural terroir units by data reduction in principal component analysis (PCA). They then selected the variables for cluster analysis from their input dataset, based on resultant factor scores.…”

Section: Discussionmentioning

confidence: 99%

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Vineyard zonation based on natural terroir factors using multivariate statistics – Case study Burgenland (Austria)

et al. 2018

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Aim: The aim of the study was to explicitly develop a methodology of delineation of natural Protected Designation of Origins (PDO) terroir regions for Austria, where PDO viticulture regions reflect natural conditions only in a formal manner.Methods and results: There is increasing competition in the wine market from globalized trends, where the European Union (EU) and non-EU wine producers have adopted different market strategies to promote their wines and gain larger market share. The EU has therefore established protective agricultural product categories such as PDO and Protected Geographical Indication (PGI) based on the terroir concept which contrasts with USA strategies. Here, we first collected and derived as many as possible relevant physical geographical data for a total of 66,673 officially registered vineyard areas in Burgenland (Austria). Next, we applied factor analysis to these data with the aim to shrink their size and reduce their dimensionality. For each vineyard plot was derived a factor score which was used for performing k-means clustering. The best count of clusters, k-parameter, was estimated using five internal validity indices. Five homogenous management zones were created as a result of clustering. Correctness and accuracy of the clustering was evaluated by multidimensional discriminant analysis. The final zones were compared to current Districtus Austriae Controllatus (DAC) of Burgenland.Conclusion: It was found by the comparison of DAC regions of Burgenland and our drafted zones that some of the DAC regions do not respect natural terroir zones, while these regions were created as PDO regions which should respect their natural terroir.Significance and impact of the study: The presented methodology can be applied all over Austria and, with some modifications caused by different input data, to each EU member country where it is necessary to revise PDO regions’ borders.

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Section: Discussionmentioning

confidence: 99%

“…In contrast, Hugues et al (2012) employed hierarchical cluster analysis where vineyard zones are created on a larger scale with similar data capturing only soil conditions. This creates problems when applying hierarchical cluster methodology to the clustered data size.…”

Section: Discussionmentioning

confidence: 99%

Vineyard zonation based on natural terroir factors using multivariate statistics – Case study Burgenland (Austria)

et al. 2018

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An overview of the recent approaches to terroir functional modelling, footprinting and zoning

Vaudour

Costantini²,

Jones

et al. 2015

SOIL

101

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Abstract. Notions of terroir and their conceptualization through agro-environmental sciences have become popular in many parts of world. Originally developed for wine, terroir now encompasses many other crops including fruits, vegetables, cheese, olive oil, coffee, cacao and other crops, linking the uniqueness and quality of both beverages and foods to the environment where they are produced, giving the consumer a sense of place. Climate, geology, geomorphology and soil are the main environmental factors which make up the terroir effect on different scales. Often considered immutable culturally, the natural components of terroir are actually a set of processes, which together create a delicate equilibrium and regulation of its effect on products in both space and time. Due to both a greater need to better understand regional-to-site variations in crop production and the growth in spatial analytic technologies, the study of terroir has shifted from a largely descriptive regional science to a more applied, technical research field. Furthermore, the explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower. The result has been greater adoption of these technologies but also issues associated with both the spatial and temporal scales required for practical applications, as well as the relevant approaches for data synthesis. Moreover, as soil microbial communities are known to be of vital importance for terrestrial processes by driving the major soil geochemical cycles and supporting healthy plant growth, an intensive investigation of the microbial organization and their function is also required. Our objective is to present an overview of existing data and modelling approaches for terroir functional modelling, footprinting and zoning on local and regional scales. This review will focus on two main areas of recent terroir research: (1) using new tools to unravel the biogeochemical cycles of both macro-and micronutrients, the biological and chemical signatures of terroirs (i.e. the metagenomic approach and regional fingerprinting); (2) terroir zoning on different scales: mapping terroirs and using remoteand proxy-sensing technologies to monitor soil quality and manage the crop system for better food quality.

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An overview of the recent approaches for terroir functional modelling, footprinting and zoning

Costantini¹,

Vaudour²,

Jones³

et al. 2014

Preprint

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Abstract. Notions of terroir and their conceptualization through agri-environmental sciences have become popular in many parts of world. Originally developed for wine, terroir now encompasses many other crops including fruits, vegetables, cheese, olive oil, coffee, cacao and other crops, linking the uniqueness and quality of both beverages and foods to the environment where they are produced, giving the consumer a sense of place. Climate, geology, geomorphology, and soil are the main environmental factors which compose the terroir effect at different scales. Often considered immutable at the cultural scale, the natural components of terroir are actually a set of processes, which together create a delicate equilibrium and regulation of its effect on products in both space and time. Due to both a greater need to better understand regional to site variations in crop production and the growth in spatial analytic technologies, the study of terroir has shifted from a largely descriptive regional science to a more applied, technical research field. Furthermore, the explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower. The result has been greater adoption but also issues associated with both the spatial and temporal scales required for practical applications, as well as the relevant approaches for data synthesis. Moreover, as soil microbial communities are known to be of vital importance for terrestrial processes by driving the major soil geochemical cycles and supporting healthy plant growth, an intensive investigation of the microbial organization and their function is also required. Our objective is to present an overview of existing data and modelling approaches for terroir functional modelling, footprinting and zoning at local and regional scales. This review will focus on three main areas of recent terroir research: (1) quantifying the influences of terroir components on plant growth, fruit composition and quality, mostly examining climate-soil-water relationships and/or using new tools to unravel the biogeochemical cycles of both macro- and micronutrients, the functional diversity of terroirs and the chemical signature of products for authentification (the metagenomic approach and the regional fingerprinting); (2) terroir zoning at different scales: mapping terroirs and using remote and proxy sensing technologies to monitor soil quality and manage the crop system for a better food quality; and (3) terroir sustainability assessment and new preservation practices.

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Spatial modeling of human exposure to soil contamination—an example of digital soil assessment

Cited by 3 publications

References 0 publications

Vineyard zonation based on natural terroir factors using multivariate statistics – Case study Burgenland (Austria)

Vineyard zonation based on natural terroir factors using multivariate statistics – Case study Burgenland (Austria)

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

An overview of the recent approaches for terroir functional modelling, footprinting and zoning

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