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Water balance, drought stress and yields for rainfed field crop rotations under present and future conditions in the Czech Republic

机译:捷克共和国目前和未来状况下水平衡,干旱胁迫和雨养田间作物轮作的产量

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ABSTRACT: Continuous crop rotation modeling is a prospective trend that, compared to 1-crop or discrete year-by-year calculations, can provide more accurate results that are closer to real conditions. The goal of this study was to compare the water balance and yields estimated by the HERMES crop rotation model for present and future climatic conditions in the Czech Republic. Three locations were selected, representing important agricultural regions with different climatic conditions. Crop rotation (spring barley, silage maize, winter wheat, winter rape) was simulated from 1981-2080. The 1981-2010 period was covered by measured meteorological data, while 2011-2080 was represented by a transient synthetic weather series from the weather generator M&Rfi. The data were based on 5 circulation models, representing an ensemble of 18 CMIP3 global circulation models, to preserve much of the uncertainty of the original ensemble. Two types of crop management were compared, and the influences of soil quality, increasing atmospheric CO2 and adaptation measures (i.e. sowing date changes) were also considered. Results suggest that under a ‘dry’ scenario (such as GFCM21), C3 crops in drier regions will be devastated for a significant number of seasons. Negative impacts are likely even on premium-quality soils regardless of flexible sowing dates and accounting for increasing CO2 concentrations. Moreover, in dry conditions, the use of crop rotations with catch crops may have negative impacts, exacerbating the soil water deficit for subsequent crops. This approach is a promising method for determining how various management strategies and crop rotations can affect yields as well as water, carbon and nitrogen cycling.
机译:摘要:连续轮作模型是一种前瞻性趋势,与1个作物或逐年进行离散计算相比,可以提供更接近实际情况的更准确结果。这项研究的目的是比较HERMES作物轮作模型针对捷克共和国目前和未来的气候条件估算出的水分平衡和产量。选择了三个位置,分别代表了具有不同气候条件的重要农业地区。从1981年至2080年模拟了作物轮作(春季大麦,青贮玉米,冬小麦,冬季油菜)。 1981年至2010年的这段时期被测量的气象数据所覆盖,而2011年至2080年的那段时期则由气象和气象部门M&Rfi提供的瞬时合成天气序列来代表。数据基于5个循环模型(代表18个CMIP3全局循环模型的集合),以保留原始集合的大部分不确定性。比较了两种作物管理方式,并考虑了土壤质量,大气CO 2 增加和适应措施(播种日期变化)的影响。结果表明,在“干旱”情况下(例如GFCM21),干旱地区的C 3 作物将遭受相当长的季节破坏。不管灵活的播种日期和造成CO 2 浓度增加的原因,即使是优质土壤也可能产生负面影响。此外,在干旱条件下,轮作与农作物一起使用可能会产生不利影响,加剧后续作物的土壤水分亏缺。这种方法是确定各种管理策略和农作物轮作如何影响单产以及水,碳和氮循环的有前途的方法。

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