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Quantifying potential yield and water-limited yield of summer maize in the North China Plain

机译:华北平原夏季玉米潜在产量和水分受限产量的量化

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摘要

The North China Plain is a major food producing region in China, and climate change could pose a threat to food production in the region. Based on China Meteorological Forcing Dataset, simulating the growth of summer maize in North China Plain from 1979 to 2015 with the regional implementation of crop growth model WOFOST. The results showed that the model can reflect the potential yield and water-limited yield of Summer Maize in North China Plain through the calibration and validation of WOFOST model. After the regional implementation of model, combined with the reanalysis data, the model can better reproduce the regional history of summer maize yield in the North China Plain. The yield gap in Southeastern Beijing, southern Tianjin, southern Hebei province, Northwestern Shandong province is significant, these means the water condition is the main factor to summer maize yield in these regions.
机译:华北平原是中国的主要粮食产区,气候变化可能对该地区的粮食生产构成威胁。基于中国气象强迫数据集,通过作物生长模型WOFOST的区域实施,模拟了华北平原1979年至2015年夏季玉米的生长。结果表明,通过WOFOST模型的标定和验证,该模型可以反映华北平原夏玉米的潜在产量和水分受限产量。模型的区域实施后,结合再分析数据,该模型可以较好地再现华北平原夏季玉米单产的区域历史。北京东南部,天津市南部,河北省南部,山东省西北部的产量差距很大,这意味着水条件是这些地区夏季玉米产量的主要因素。

著录项

  • 来源
  • 会议地点 San Diego(US)
  • 作者单位

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China,Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China NormalUniversity and Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Shanghai, 200241, China,Joint Research Institute for New Energy and the Environment, East China Normal University and Colorado State University, Shanghai, 200062, China;

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China,Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China NormalUniversity and Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Shanghai, 200241, China,Joint Research Institute for New Energy and the Environment, East China Normal University and Colorado State University, Shanghai, 200062, China;

    Natural Resource Ecology Laboratory and Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80521, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    North China Plain; Summer maize; WOFOST; Spatial-temporal variation; Yield gap;

    机译:华北平原;夏玉米; WOFOST;时空变化;产量差距;
  • 入库时间 2022-08-26 13:45:16

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