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Analyzing the sensitivity of viticultural practices to weather variability in a climate change perspective: an application to workable-day modelling

机译:从气候变化角度分析葡萄栽培实践对天气变化的敏感性:在可行工作日模型中的应用

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Aims: The study aims at applying to a perennial crop the concept of “workable days” developed for annual crops by G. Kreher in 1955. A workable day is a day that provides conditions agronomically correct for work.Methods and results: A survey among grapevine growers was carried out to collect their perception of practice sensitivity to weather variability. The study provided information on working periods, techniques and machinery involved, weather constraints and thresholds generally used by the vine growers, for 21 annual cropping practices. Pesticide spraying against powdery and downy mildew appeared to be the most sensitive to weather parameters. Therefore, this practice was selected for the purpose of modelling workable days, according to decision rules based on the postulate that all weather parameters should be within the acceptable ranges. The model was run over a period of 13 years (1998-2010). Analyses of the outputs pointed out a great variability in the number of workable days from one year to another as well as in the respective proportion of unfavourable weather factors involved in the reduction of workable days. A validation based on the analysis of the actual spraying practices realized over a period of 12 years (1999-2010) showed that 32 % of the treatments were done on a day characterized as not workable by the model. The errors could be attributed to periods of holidays and risky sanitary situations when decision rules had to be bypassed.Conclusion: The model proved to represent rather well the decision rules use by vine growers to carry out their annual cropping practices in relation with the weather variability, within the area of study. The controversial role of the ‘leaf wetness duration’ weather parameter needs to be clarified; it may help to better parametrize the model. In order to improve its performance, the model should be coupled to a disease propagation model.Significance and impact of the study: In a climate change perspective, modelling of workable days can be run with simulated climatic data. It may prove to be useful to adapt vineyard management strategies in terms of innovative cropping practices and equipment. IntroductionA crop management plan is made up of a series of agricultural practices that a farmer needs to carry out according to a schedule, determined by the plant’s cycle. Common practices include soil tillage, sowing, fertilization, disease control, and harvesting. For each of these practices, the farmer must try to aim for the most favourable timeslot so that he can expect the highest harvest potential. For instance in the case of an annual crop, if sowing is done a week too early or too late, harvest potential can be affected. However, within each timeslot (henceforth called work-period), the number of days that are actually suitable for work depends largely on weather conditions. Tilling, for example, should not be done if the soil is too wet as it would result in a top soil layer too compact for the next crop to be sown. Moreover, the weight of the tractor can cause deep soil compaction, which may jeopardize harvest potential for the following years.In 1955, Kreher formalized this notion under the concept of workable days (Kreher, 1955). A workable day, for a given practice, is a day that provides conditions that are agronomically correct for work. Workability criteria depend on the type of practice considered, since they are not all equally sensitive to weather conditions, and on the type of technique or machinery used (a workhorse does not damage a wet soil as a tractor does).Because of weather variability, the number of workable days for a given work-period varies from one year to the next. This implies that some years the farmer's workforce and machinery will be oversized and other years they will be undersized. Kreher thought that if a farmer could know the frequency of each type of situation, he would be able to adapt his workforce and machinery according to an objective level of risk. However, Kreher did not provide a detailed method to achieve this.Workable days were studied extensively during the 1960's - 1980's in France and in North America. Research focused mainly on soil tillage in arable crops. The first method for determining workable days was introduced by Reboul in the early 1960's (Reboul, 1964). It was based on the direct observation of the farmers' practices over long periods of time (10 years). He considered that “good” farmers (i.e., farmers producing high average yields) are well qualified to determine work-periods and to judge if conditions are agronomically correct. His method aroused much interest and became widely used in France, but its length (10 years) and lack of precision were major drawbacks (Reboul, 1985). Besides, each study was specific to a small area and could not be generalized to other areas with different soil types or climates.Reboul (1985) thought that if a relation could be found between workability and meteorolo
机译:目的:该研究旨在将G. Kreher在1955年为一年生作物开发的“可工作日”概念应用到多年生作物上。可工作日是指为工作提供农学条件的日子。方法和结果:进行葡萄种植以收集他们对天气变化敏感性的实践认识。该研究提供了有关葡萄种植者通常用于21种年度种植实践的工作时间,涉及的技术和机械,天气限制和阈值的信息。喷洒对白粉病和霜霉病的农药似乎对天气参数最敏感。因此,选择这种做法是为了对可工作日进行建模,是根据基于所有天气参数均应在可接受范围内的假设的决策规则进行的。该模型运行了13年(1998-2010年)。对产出的分析指出,一年之间的可工作天数以及可工作天数减少所涉及的不利天气因素的比例存在很大差异。根据对过去12年(1999年至2010年)实现的实际喷涂实践分析的验证,结果表明,有32%的处理是在该模型无法实现的一天进行的。错误可能归因于假期和危险的卫生情况,必须绕开决策规则。结论:该模型证明可以很好地代表葡萄种植者用于与气候多变性相关的年度种植实践的决策规则,在研究领域内。 “叶子潮湿持续时间”天气参数的争议作用需要弄清楚;它可能有助于更好地参数化模型。为了提高其性能,该模型应与疾病传播模型耦合。研究的意义和影响:从气候变化的角度来看,可以使用模拟的气候数据对可工作日进行建模。在创新种植方法和设备方面调整葡萄园管理策略可能被证明是有用的。简介作物管理计划是由农民根据植物周期决定的时间表执行的一系列农业实践组成的。常见做法包括土壤耕作,播种,施肥,疾病控制和收获。对于这些实践中的每一种,农民都必须尝试以最有利的时机为目标,以便他可以预期最大的收获潜力。例如,在一年生作物的情况下,如果过早或太晚一周播种,则可能会影响收获潜力。但是,在每个时隙内(以下称为工作时间),实际上适合工作的天数在很大程度上取决于天气情况。例如,如果土壤太湿,则不应耕种,因为这会导致顶层土壤太密实,无法播种下一种作物。此外,拖拉机的重量会引起土壤深层的压实,这可能会危害随后几年的收成潜力。1955年,Kreher在可行日的概念下将这一概念正式化(Kreher,1955年)。对于给定的实践,可行的一天是指提供符合农艺条件的工作的一天。可操作性标准取决于所考虑的实践类型,因为它们并非都对天气条件同样敏感,还取决于所使用的技术或机械的类型(主力马车不会像拖拉机那样损坏湿土)。给定工作期间的可工作天数从一年到下一年不等。这意味着农民的劳动力和机器有些年份会过大,而另一些年份则会过小。克雷尔(Kreher)认为,如果农民能够了解每种情况的发生频率,他将能够根据客观风险水平调整其劳动力和机器。但是,Kreher并未提供实现此目的的详细方法。在1960年代至1980年代的法国和北美,对可工作的日子进行了广泛的研究。研究主要集中在可耕作物的土壤耕作上。 Reboul于1960年代初引入了确定工作日的第一种方法(Reboul,1964)。它基于对农民长期(10年)实践的直接观察。他认为,“好”农民(即平均单产高的农民)非常有资格确定工作期限,并判断条件在农学上是否正确。他的方法引起了广泛的兴趣,并在法国得到了广泛的应用,但是它的长度(10年)和缺乏精确度是主要缺点(Reboul,1985)。此外,每项研究都只针对一个小区域,而不能推广到土壤类型或气候不同的其他区域。Reboul(1985)认为,如果在可加工性和流星之间能找到联系

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