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Tradeoffs between Maize Silage Yield and Nitrate Leaching in a Mediterranean Nitrate-Vulnerable Zone under Current and Projected Climate Scenarios

机译:在当前和预计的气候情景下,地中海硝酸盐脆弱地区玉米青贮产量与硝酸盐浸出之间的权衡

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摘要

Future climatic changes may have profound impacts on cropping systems and affect the agronomic and environmental sustainability of current N management practices. The objectives of this work were to i) evaluate the ability of the SALUS crop model to reproduce experimental crop yield and soil nitrate dynamics results under different N fertilizer treatments in a farmer’s field, ii) use the SALUS model to estimate the impacts of different N fertilizer treatments on NO3- leaching under future climate scenarios generated by twenty nine different global circulation models, and iii) identify the management system that best minimizes NO3- leaching and maximizes yield under projected future climate conditions. A field experiment (maize-triticale rotation) was conducted in a nitrate vulnerable zone on the west coast of Sardinia, Italy to evaluate N management strategies that include urea fertilization (NMIN), conventional fertilization with dairy slurry and urea (CONV), and no fertilization (N0). An ensemble of 29 global circulation models (GCM) was used to simulate different climate scenarios for two Representative Circulation Pathways (RCP6.0 and RCP8.5) and evaluate potential nitrate leaching and biomass production in this region over the next 50 years. Data collected from two growing seasons showed that the SALUS model adequately simulated both nitrate leaching and crop yield, with a relative error that ranged between 0.4% and 13%. Nitrate losses under RCP8.5 were lower than under RCP6.0 only for NMIN. Accordingly, levels of plant N uptake, N use efficiency and biomass production were higher under RCP8.5 than RCP6.0. Simulations under both RCP scenarios indicated that the NMIN treatment demonstrated both the highest biomass production and NO3- losses. The newly proposed best management practice (BMP), developed from crop N uptake data, was identified as the optimal N fertilizer management practice since it minimized NO3- leaching and maximized biomass production over the long term.
机译:未来的气候变化可能会对耕作系统产生深远影响,并影响当前氮素管理实践的农艺和环境可持续性。这项工作的目的是:i)评估SALUS作物模型在农民田间不同氮肥处理下再现实验作物产量和土壤硝酸盐动态结果的能力,ii)使用SALUS模型估算不同氮素的影响在二十一种不同的全球环流模型产生的未来气候情景下,对NO3 -淋洗进行肥料处理,并且iii)确定在以下条件下最大程度地减少NO3 -淋洗并使产量最大化的管理系统预计的未来气候条件。在意大利撒丁岛西海岸的硝酸盐敏感区进行了田间试验(玉米-黑小麦的轮作),以评估氮素管理策略,包括尿素施肥(NMIN),常规奶牛粪便和尿素施肥(CONV),以及施肥(N0)。 29个全球循环模型(GCM)的集合用于模拟两种代表性循环路径(RCP6.0和RCP8.5)的不同气候情景,并评估了该地区在未来50年中潜在的硝酸盐淋失和生物量生产。从两个生长季节收集的数据表明,SALUS模型可以充分模拟硝酸盐淋失和作物产量,相对误差在0.4%和13%之间。仅对于NMIN,RCP8.5下的硝酸盐损失低于RCP6.0下的硝酸盐损失。因此,在RCP8.5下,植物对氮的吸收,氮的利用效率和生物量的产生均高于RCP6.0。在两种RCP情景下的模拟表明,NMIN处理均显示出最高的生物量产量和NO3 -损失。从作物吸收氮的数据发展而来的最新提议的最佳管理实践(BMP)被确定为最佳的氮肥管理实践,因为它可以长期减少NO3 -的淋失并最大化生物量的产生。

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