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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:捷克共和国在当前和未来条件下对雨流田间作物旋转的水平衡,干旱胁迫和产量

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摘要

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), C-3 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:连续作物旋转建模是一个前瞻性趋势,与1作物或离散的计算相比,可以提供更准确的结果,更接近真实情况。本研究的目标是将Hermes作物旋转模型估计的水平和产量进行比较,以便在捷克共和国的现在和未来的气候条件进行。选择了三个地点,代表了具有不同气候条件的重要农业区域。 1981 - 2018年,模拟了作物旋转(春大麦,青贮玉米,冬小麦,冬季强奸)。 1981-2010期由测量的气象数据涵盖,而2011-2080由来自天气发生器M&RFI的瞬态合成天气系列代表。数据基于5个循环模型,代表18个CMIP3全局循环模型的集合,以保护原始合奏的大部分不确定性。比较了两种作物管理,以及土壤质量的影响,增加大气二氧化碳和适应措施(即播种日期变化)。结果表明,在“干燥”情景下(如GFCM21),减补赛道中的C-3作物对于大量季节将被摧毁。无论柔性播种日期和核算如何增加二氧化碳浓度,负面影响甚至可能是额外的影响。此外,在干燥条件下,使用捕获作物的作物轮作可能产生负面影响,加剧了随后作物的土壤水分缺陷。这种方法是确定各种管理策略和作物旋转如何影响产量以及水,碳和氮循环的有希望的方法。

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  • 来源
    《Climate research》 |2015年第suppla期|共18页
  • 作者单位

    Mendel Univ Brno Inst Agrosyst &

    Bioclimatol Zemedelska 1 Brno 61300 Czech Republic;

    Inst Landscape Syst Anal Leibniz Ctr Agr Landscape Res ZALF D-15374 Muncheberg Germany;

    Acad Sci CR Inst Atmospher Phys Prague 14131 Czech Republic;

    Mendel Univ Brno Inst Agrosyst &

    Bioclimatol Zemedelska 1 Brno 61300 Czech Republic;

    Mendel Univ Brno Inst Agrosyst &

    Bioclimatol Zemedelska 1 Brno 61300 Czech Republic;

    Mendel Univ Brno Inst Agrosyst &

    Bioclimatol Zemedelska 1 Brno 61300 Czech Republic;

    Mendel Univ Brno Inst Agrosyst &

    Bioclimatol Zemedelska 1 Brno 61300 Czech Republic;

    Mendel Univ Brno Inst Agrosyst &

    Bioclimatol Zemedelska 1 Brno 61300 Czech Republic;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 气候学;
  • 关键词

    Crop growth model; Evapotranspiration; Soil; Climate change;

    机译:作物生长模型;蒸散;土壤;气候变化;

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