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Influence of climate change on short term management of field crops - A modelling approach

机译:气候变化对大田作物短期管理的影响-一种建模方法

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Climatic change is likely to have an influence on arable farms in Central Europe. We use a modelling approach to assess the effects of weather and its long term development due to climate change on short-term decisions like planting and harvesting, as well as yields. Two models are coupled, a farm management model FARMACTOR and the crop growth model system EXPERT-N to investigate the interplay between management and crop growth on a daily basis. We examine different methods of adapting expectations concerning the timing of cropping actions and annual yields to actual observed weather and yield data. Our study focuses on the two major crops winter wheat and silage maize in the Swabian Alb in southwestern Germany. Results show that the model can satisfactorily reproduce the development of planting and harvesting as well as yields that have occurred in the past. Different methods of expectation formation only show minor differences in their effect on action dates and yields. Future climatic change is likely to shift the timing of field actions. Assuming no change in technology (e.g. cultivars), summer crops may be seeded earlier while winter crops could tend to be sown later; harvest may occur earlier and yields might slightly decrease while showing more volatility. This modelling approach has the potential to increase the knowledge about risk profiles of short time agricultural management actions and to improve the land use modelling part of coupled earth system models
机译:气候变化可能会对中欧的耕地产生影响。我们使用建模方法来评估天气及其因气候变化而长期发展对短期决策(如种植和收获)以及单产的影响。耦合了两个模型,一个农场管理模型FARMACTOR和一个作物生长模型系统EXPERT-N,用于每天研究管理和作物生长之间的相互作用。我们研究了不同的方法,这些方法可以使有关种植时间和年产量的期望值适应实际观测到的天气和产量数据。我们的研究侧重于德国西南部Swabian Alb地区的两种主要农作物冬小麦和青贮玉米。结果表明,该模型可以令人满意地再现播种和收获的发展以及过去发生的产量。不同的期望形成方法仅显示出它们对作用日期和产量的影响上的微小差异。未来的气候变化可能会改变野外行动的时机。假设技术(例如栽培品种)没有变化,夏季作物的播种可能会提前,而冬季作物的播种往往会推迟。收割可能较早发生,单产可能略有下降,但波动性更大。这种建模方法有可能增加有关短期农业管理行动风险概况的知识,并改善耦合地球系统模型的土地利用建模部分

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