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Adaptive capacity to climate change in the wine industry: A Bayesian Network approach

机译:葡萄酒行业对气候变化的适应能力:贝叶斯网络方法

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This study assesses the main factors influencing the behavior of wine producers and the strategies implemented by them with regard to changing climatic conditions. To do so, we adopted a Bayesian Network combining climatic, technical, and economic factors, as well as farmer perception and environmental actions. Based on the scientific literature reviewed, a set of research hypotheses was formulated and compared with empirical evidence collected in the Italian region of Emilia-Romagna. Climatic data, both at the regional and vineyard levels were collected and primary information on wine growing and wine making firms was gathered by means of a producer survey, including 56 wine farms. The results showed that the probability to be negatively affected by the effects of climate change is influenced by structural and technical farm characteristics and by farmer readiness to embrace change. Local climatic conditions, particularly temperature and water surplus, are the factors that most affect both wine production and adaptation behavior in the study area. We conclude that the adoption of focused management and appropriate adaptation strategies, as well as appropriate policies with regard to regulation, incentives and support, are crucial issues for farmers to face the ongoing climatic challenge.
机译:这项研究评估了影响葡萄酒生产者行为的主要因素以及他们针对气候条件变化所采取的策略。为此,我们采用了结合气候,技术和经济因素以及农民的看法和环境行动的贝叶斯网络。在回顾的科学文献的基础上,制定了一组研究假设,并将其与在意大利艾米利亚—罗马涅地区收集的经验证据进行了比较。通过对生产者的调查(包括56个葡萄酒农场),收集了区域和葡萄园的气候数据,并收集了有关葡萄种植和酿酒公司的主要信息。结果表明,受气候变化影响的可能性受到农场结构和技术特征以及农民适应变化的意愿的影响。当地气候条件,特别是温度和水的过剩,是影响研究区域葡萄酒生产和适应行为的最主要因素。我们得出结论,采取有针对性的管理和适当的适应策略,以及有关法规,奖励措施和支持的适当政策,是农民面对持续的气候挑战的关键问题。

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