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A multi-model analysis of change in potential yield of major crops in China under climate change

机译:a multi-model analysis of change in potential yield of major crops in China under climate change

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摘要

Climate change may affect crop growth and yield, which consequently casts a shadow of doubt over China's food self-sufficiency efforts. In this study, we used the projections derived from four global gridded crop models (GGCropMs) to assess the effects of future climate change on the yields of the major crops (i.e., maize, rice, soybean and wheat) in China. The GGCropMs were forced with the bias-corrected climate data from five global climate models (GCMs) under Representative Concentration Pathway (RCP) 8.5, which were made available through the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP). The results show that the potential yields of the crops would decrease in the 21st century without carbon dioxide (CO2) fertilization effect. With the CO2 effect, the potential yields of rice and soybean would increase, while the potential yields of maize and wheat would decrease. The uncertainty in yields resulting from the GGCropMs is larger than the uncertainty derived from GCMs in the greater part of China. Climate change may benefit rice and soybean yields in highaltitude and cold regions which are not in the current main agricultural area. However, the potential yields of maize, soybean and wheat may decrease in the major food production area. Development of new agronomic management strategies may be useful for coping with climate change in the areas with a high risk of yield reduction.
机译:气候变化可能会影响作物的生长和单产,从而给人们对中国粮食自给自足的努力蒙上阴影。在这项研究中,我们使用了来自四种全球网格化作物模型(GGCropMs)的预测来评估未来气候变化对中国主要作物(玉米,水稻,大豆和小麦)产量的影响。 GGCropM被迫通过代表集中度路径(RCP)8.5根据五个全球气候模型(GCM)进行了偏差校正的气候数据,这些数据可通过部门间影响模型比对项目(ISI-MIP)获得。结果表明,在没有二氧化碳(CO2)施肥效应的情况下,农作物的潜在产量将在21世纪下降。有了二氧化碳效应,大米和大豆的潜在产量将增加,而玉米和小麦的潜在产量将下降。 GGCropMs产生的产量不确定性大于中国大部分地区的GCM产生的不确定性。气候变化可能使高海拔和寒冷地区的稻米和大豆单产受益,而目前这些地区不在主要农业地区。但是,在主要粮食产区,玉米,大豆和小麦的潜在单产可能下降。制定新的农艺管理策略可能有助于应对单产下降风险较高的地区的气候变化。

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  • 作者

    Yin Y.; Tang, Q.; Liu, X.;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 英语
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