Abstract
Global climate change affects regional climates and hold implications for viticulture worldwide. Many studies have addressed the issue of the impact of climate change on viticulture in most wine regions worldwide, yet few studies are devoted to observing and simulating both climate and climate change at the “terroir” scale (local scale). However, phenological variations as well as differences in grapes/wine quality are often observed over short distances in a wine-region, which are related to local characteristics (slope, soil, seasonal climate …). This paper proposes a modeling approach to simulate behavior changes in wine grower activities and to analyze the impact of changing strategies in wine production. Two experiments were conducted in the small wine appellation grand cru Quart de Chaume (Coteaux du Layon, Loire Valley, France) and in the wine estate in Mendoza (Bodega Alta Vista) where all of the methodology (from the implementation of the knowledge database to the analysis of the first simulation) is presented. Given that this prototype is still under development, several research perspectives are discussed.
Highlights
Global climate change affects regional climates and hold implications for viticulture worldwide
Many studies have addressed the issue of the impact of climate change on viticulture in most wine regions worldwide, yet few studies are devoted to observing and simulating both climate and climate change at the “terroir” scale
Phenological variations as well as difference in grapes/wine quality are often observed over short distances in a wine-region, which are related to local characteristics
Summary
Global climate change affects regional climates and hold implications for viticulture worldwide. Many studies have addressed the issue of the impact of climate change on viticulture in most wine regions worldwide, yet few studies are devoted to observing and simulating both climate and climate change at the “terroir” scale (local scale). The aim of this contribution is to conceptualize a generic model (a site specific viticultural activity) including strategies of production (modeling by decision trees) to reproduce the impact of spatial and temporal variability of climatic conditions on grapevine growth and berry maturity using an approach that combines technologies derived from GIS, agent-based models and spatial and temporal databases. The objective is to specify a systemic and integrated modeling environment for simulating grapevine growth and berry ripening under different conditions and constraints The objective is to specify a systemic and integrated modeling environment for simulating grapevine growth and berry ripening under different conditions and constraints (slope, aspect, soil type, climate variability . . . ) and to integrate production strategies and corresponding adaptation rules according to the evolution of these constraints
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