首页> 外文期刊>The Journal of Agricultural Science >Impacts of projected climate change on productivity and nitrogen leaching of crop rotations in arable and pig farming systems in Denmark
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Impacts of projected climate change on productivity and nitrogen leaching of crop rotations in arable and pig farming systems in Denmark

机译:预计气候变化对丹麦矿产和养猪系统作物旋转生产率和氮气浸出的影响

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摘要

The effects of projected changes in climate and atmospheric CO2 concentration on productivity and nitrogen (N) leaching of characteristic arable and pig farming rotations in Denmark were investigated with the FASSET simulation model. The LARS weather generator was used to provide climatic data for the baseline period (1961-90) and in combination with two regional circulation models (RCM) to generate climatic data under the Intergovernmental Panel on Climate Change (IPCC) A1B emission scenario for four different 20-year time slices (denoted by midpoints 2020, 2040, 2060 and 2080) for two locations in Denmark, differing in soil and climate, and representative of the selected production systems. The CO2 effects were modelled using projected CO2 concentrations for the A1B emission scenario. Crop rotations were irrigated (sandy soil) and unirrigated (sandy loam soil), and all included systems with and without catch crops, with field operation dates adapted to baseline and future climate change. Model projections showed an increase in the productivity and N leaching in the future that would be dependent on crop rotation and crop management, highlighting the importance of considering the whole rotation rather than single crops for impact assessments. Potato and sugar beet in arable farming and grain maize in pig farming contributed most to the productivity increase in the future scenarios. The highest productivity was obtained in the arable system on the sandy loam soil, with an increase of 20% on average in 2080 with respect to the baseline. Irrigation and fertilization rates would need to be increased in the future to achieve optimum yields. Growing catch crops reduces N leaching, but current catch crop management might not be sufficient to control the potential increase of leaching and more efficient strategies are required in the future. The uncertainty of climate change scenarios was assessed by using two different climate projections for predicting crop productivity and N leaching in Danish crop rotations, and this showed the consistency of the projected trends when used with the same crop model.
机译:采用Fasset仿真模型,研究了丹麦特征耕作和猪养殖的生产率和氮气浸出的生产率和氮气(n)浸出的影响。 LARS天气发生器用于为基线时期(1961-90)提供基准数据的气候数据,并与两个区域循环模型(RCM)组合,以在政府间气候变化(IPCC)A1B发射方案下产生气候数据的四种不同20年时间切片(由中点2020,2040,2060和2080表示)在丹麦的两个地点,不同的土壤和气候不同,以及所选择的生产系统的代表。使用投影CO2浓度为A1B发射场景进行建模CO 2效应。作物旋转被灌溉(砂土)和未剪枪(砂土土壤),所有包含的系统都有,没有捕获作物,现场操作日期适应基线和未来的气候变化。模型预测显示未来的生产率和N浸出的增加,这将取决于作物旋转和作物管理,突出了考虑整个旋转而不是单一作物进行影响评估的重要性。在猪养殖中耕种耕种和籽粒玉米的土豆和甜菜玉米玉米玉米最大促进了未来情景的生产力。在砂土土壤上的耕地系统中获得了最高的生产率,同时平均增加了20%的20%相对于基线。将来需要增加灌溉和施肥率,以实现最佳产量。生长捕捞作物减少了N浸出,但目前的捕获作物管理可能不足以控制潜在的浸出增加,并将来需要更有效的策略。通过使用两种不同的气候预测来评估气候变化情景的不确定性,用于预测作物生产力和丹麦作物旋转中的N次浸出,这表明当与同一作物模型一起使用时预计趋势的一致性。

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    Department of Agroecology Aarhus University Blichers Allé 20 P.O. Box 50 DK-8830 Tjele Denmark;

    Department of Agroecology Aarhus University Blichers Allé 20 P.O. Box 50 DK-8830 Tjele Denmark;

    Department of Agroecology Aarhus University Blichers Allé 20 P.O. Box 50 DK-8830 Tjele Denmark;

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