Danilo Rabino, M. Biddoccu, Giorgia Bagagiolo, G. Nigrelli, L. Mercalli, D. Cat Berro, F. Spanna, G. Capello, E. Cavallo
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引用次数: 3
Abstract
Historical weather data represent an extremely precious resource for agro-meteorology for studying evolutionary dynamics and for predictive purposes, to address agronomical and management choices, that have economic, social and environmental effect. The study of climatic variability and its consequences starts from the observation of variations over time and the identification of the causes, on the basis of historical series of meteorological observations. The availability of long-lasting, complete and accurate datasets is a fundamental requirement to predict and react to climate variability. Inter-annual climate changes deeply affect grapevine productive cycle determining direct impact on the onset and duration of phenological stages and, ultimately, on the grape harvest and yield. Indeed, climate variables, such as air temperature and precipitation, affect evapotranspiration rates, plant water requirements, and also the vine physiology. In this respect, the observed increase in the number of warm days poses a threat to grape quality as it creates a situation of imbalance at maturity, with respect to sugar content, acidity and phenolic and aromatic ripeness.
A study was conducted to investigate the relationships between climate variables and harvest onset dates to assess the responses of grapevine under a global warming scenario. The study was carried out in the “Monferrato” area, a rainfed hillslope vine-growing area of NW Italy. In particular, the onset dates of harvest of different local wine grape varieties grown in the Vezzolano Experimental Farm (CNR-IMAMOTER) and in surrounding vineyards (affiliated to the Terre dei Santi Cellars) were recorded from 1962 to 2019 and then related to historical series of climate data by means of regression analysis. The linear regression was performed based on the averages of maximum and minimum daily temperatures and sum of precipitation (1962–2019) calculated for growing and ripening season, together with a bioclimatic heat index for vineyards, the Huglin index. The climate data were obtained from two data series collected in the Experimental farm by a mechanical weather station (1962-2002) and a second series recorded (2002-2019) by an electro-mechanical station included in Piedmont Regional Agro-meteorological Network. Finally, a third long-term continuous series covering the period from 1962 to 2019, provided by Italian Meteorological Society was considered in the analysis.
The results of the study highlighted that inter-annual climate variability, with a general positive trend of temperature, significantly affects the ripening of grapes with a progressive anticipation of the harvest onset dates. In particular, all the considered variables excepted precipitation, resulted negatively correlated with the harvest onset date reaching a high level of significance (up to P< 0.001). Best results have been obtained for maximum temperature and Huglin index, especially by using the most complete dataset. The change ratios obtained using datasets including last 15 years were greater (in absolute terms) than results limited to the period 1962-2002, and also correlations have greater level of significance. The results indicated clearly the relationships between the temperature trend and the gradual anticipation of harvest and the importance of having long and continuous historical weather data series available.
历史天气数据是农业气象学的一种极其宝贵的资源,用于研究进化动力学和预测目的,以解决具有经济、社会和环境影响的农业经济学和管理选择。气候变异性及其后果的研究始于对随时间变化的观测,以及在历史气象观测系列的基础上确定原因。提供持久、完整和准确的数据集是预测和应对气候变化的基本要求。年间气候变化严重影响葡萄生产周期,决定了对酚期开始和持续时间的直接影响,最终影响了葡萄的收成和产量。事实上,气候变量,如气温和降水,会影响蒸散率、植物需水量以及葡萄藤的生理机能。在这方面,观察到的温暖天数的增加对葡萄质量构成了威胁,因为它在成熟时造成了糖含量、酸度、酚类和芳香成熟度的不平衡。进行了一项研究,调查气候变量和收获开始日期之间的关系,以评估葡萄藤在全球变暖情景下的反应。该研究是在;蒙费拉托”;该地区是意大利西北部一个雨水灌溉的山坡葡萄种植区。特别是,1962年至2019年,记录了在维佐拉诺实验农场(CNR-IMAMOTER)和周围葡萄园(隶属于Terre dei Santi酒窖)种植的不同当地酿酒葡萄品种的收获开始日期,然后通过回归分析与历史系列气候数据相关联。线性回归是基于生长和成熟季节计算的最高和最低日温度的平均值和降水量总和(1962–;2019),以及葡萄园的生物气候热指数Huglin指数进行的。气候数据来自机械气象站在实验农场收集的两个数据系列(1962-2002)和皮埃蒙特地区农业气象网机电站记录的第二个系列(2002-2019)。最后,分析中考虑了意大利气象学会提供的涵盖1962年至2019年的第三个长期连续序列。研究结果强调,年际气候变化具有普遍的积极温度趋势,显著影响葡萄的成熟,并逐渐预测收获开始日期。特别是,除降水量外,所有考虑的变量都与收获开始日期呈负相关,达到高度显著性(P<0.001)。最高温度和Huglin指数的结果最好,尤其是使用最完整的数据集。使用包括过去15年在内的数据集获得的变化率(按绝对值计算)大于1962-2002年期间的结果,而且相关性具有更高的显著性。结果清楚地表明了温度趋势与收获的逐渐预期之间的关系,以及拥有长期连续的历史天气数据系列的重要性。
期刊介绍:
Among the areas of specific interest of the journal there are: ecophysiology; phenology; plant growth, quality and quantity of production; plant pathology; entomology; welfare conditions of livestocks; soil physics and hydrology; micrometeorology; modeling, simulation and forecasting; remote sensing; territorial planning; geographical information systems and spatialization techniques; instrumentation to measure physical and biological quantities; data validation techniques, agroclimatology; agriculture scientific dissemination; support services for farmers.