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Response of crop yield and nitrogen use efficiency for wheat-maize cropping system to future climate change in northern China

机译:小麦玉米种植制度对中国北方未来气候变化的作物产量和氮气利用效率的响应

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摘要

Climate change and excessive fertilization will threaten the crops yields and nitrogen utilization in coming decades. The aim of this study is to quantify the response of crop yields and nitrogen use efficiency (NUE) to different fertilization strategies and climate change scenarios in the northern China by 2100 using the process-based SPACSYS model. The model was calibrated and validated with the data from four long-term experiments with winter wheat (Triticum Aestiviurn L.) and summer maize (Zea mays L.) rotation in the northern China. Five fertilizer treatments based on the long-term experiments were chosen: non-fertilizer (CK), a combination of mineral nitrogen, phosphorus and potassium (NPK), NPK plus manure (NPKM), a high application rate of NPKM (hNPKM) and NPK plus maize straw (NPKS). The model simulations and projections were performed under four different climate change scenarios including baseline, RCP2.6, RCP4.5 and RCP8.5. Validation demonstrated that SPACSYS can adequately simulate crop yields, N uptake and annual NUE for the wheat-maize rotation. Without considering the impact of cultivar change, maize yield would increase by an average of 8.5% and wheat yield would decrease by 3.8%, and the annual NUE would decrease by an average of 15% for all fertilization treatments under RCP climate scenarios compared with the baseline. This might be the interactive effects among elevated CO2 concentration, more concentrated and intensive rainfall events, and warming temperature. For each climate scenario, manure amendment could alleviate the negative influences of future climate change on crop growth and nitrogen utilization, given that manure applied treatments had higher soil organic matter and persistent supply of nutrients, which resulted in a more stable crop yield and N removal by wheat and maize than other treatments. In addition, the highest and most stable annual NUE (38.70-52.78%), crop yields and N removal were found in hNPKM treatment until 2100. The results could provide a reference for nitrogen fertilization in study regions to improve crop yield and nitrogen use efficiency and minimize environmental risks in the future.
机译:气候变化和过度施肥将在未来几十年中威胁作物产量和氮利用。本研究的目的是通过2100使用基于过程的Spacsys模型来量化作物产量和氮气利用效率(NUE)对中国北方的不同施肥策略和气候变化的响应。该模型被校准并验证了来自四个长期实验的数据,冬小麦(Triticum Aestiviurn L.)和夏季玉米(Zea Mays L.)在北方北方旋转。选择基于长期实验的五种肥料处理:非肥料(CK),矿物氮,磷和钾(NPK),NPK加粪便(NPKM),NPKM(HNPKM)的高施用率和NPK加上玉米秸秆(NPKS)。模型模拟和预测在四种不同的气候变化场景下进行,包括基线,RCP2.6,RCP4.5和RCP8.5。验证表明,Spacsys可以充分模拟作物产量,N采用和年度NUE用于小麦玉米旋转。如果不考虑品种变化的影响,玉米产量将平均增加8.5%,小麦产量将减少3.8%,而且每年九月将减少15%的抗议治疗与RCP气候情景下的所有受精治疗相比。相比基线。这可能是升高的二氧化碳浓度,更集中和密集的降雨事件以及温暖温度之间的互动效果。对于每种气候情景,施肥修正案可以缓解未来气候变化对作物生长和氮利用的负面影响,因为粪肥应用治疗具有较高的土壤有机物质和持续的营养素供应,导致了更稳定的作物产量和N去除小麦和玉米比其他治疗。此外,在HNPKM治疗中发现了最高且最稳定的年9月(38.70-52.78%),作物产量和N去除,直至2100.结果可以为研究区内的氮肥提供参考,以提高作物产量和氮气利用效率并最大限度地减少未来的环境风险。

著录项

  • 来源
    《Agricultural and Forest Meteorology》 |2018年第2018期|共12页
  • 作者单位

    Jilin Univ Coll Earth Sci Changchun 130061 Jilin Peoples R China;

    Jilin Univ Coll Earth Sci Changchun 130061 Jilin Peoples R China;

    Chinese Acad Sci Inst Geog Sci &

    Nat Resources Res Key Lab Ecosyst Network Observat &

    Modeling Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Geog Sci &

    Nat Resources Res Key Lab Ecosyst Network Observat &

    Modeling Beijing 100101 Peoples R China;

    Chinese Acad Agr Sci Inst Agr Resources &

    Reg Planning Natl Engn Lab Improving Qual Arable Land Beijing 100081 Peoples R China;

    Chinese Acad Agr Sci Inst Agr Resources &

    Reg Planning Natl Engn Lab Improving Qual Arable Land Beijing 100081 Peoples R China;

    Chinese Acad Agr Sci Inst Agr Resources &

    Reg Planning Natl Engn Lab Improving Qual Arable Land Beijing 100081 Peoples R China;

    Rothamsted Res Sustainable Agr Syst Okehampton EX20 2SB Devon England;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业基础科学;
  • 关键词

    Climate change; Yield; Nitrogen use efficiency; SPACSYS model; Double cropping;

    机译:气候变化;产量;氮利用效率;Spacsys模型;双重裁剪;

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