中国农业气象

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CERES-Maize模型在中国主要玉米种植区域的适用性

胡亚南;柴绍忠;许吟隆;熊伟;   

  1. 中国农业科学院农业环境与可持续发展研究所/农业部农业环境与气候变化重点实验室;内蒙古自治区阿拉善盟农业技术推广中心;
  • 出版日期:2008-08-10 发布日期:2008-08-10
  • 基金资助:
    国家“十一五”科技支撑计划课题(2007BAC03A02);; 国家“十五”科技攻关课题(2004BA611B)

Validation of CERES-Maize Model in Main Maize Planting Regions in China

HU Ya-nan1,CHAI Shao-zhong2,XU Yin-long1,XIONG Wei1(1.Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences/ Key Laboratory of Agro-Environment & Climate Change,Ministry of Agriculture,Beijing 100081,China;2.Agricultural Technology Promotion Center of Alxa league in Inner Mongolia,Bayan Hot,750306,China)   

  • Online:2008-08-10 Published:2008-08-10

摘要: 选取北方春玉米区、黄淮海春夏播玉米区、西南山地丘陵玉米区、南方丘陵玉米区、西北内陆玉米区五个区域中70个站点,利用1998-2000年玉米生长的田间试验资料和气象台站的气象观测资料,研究CERES-Maize模型在主要玉米种植区域对玉米生育期、产量的模拟能力。选用符合度指数D、RMSE等统计指标进行评价。结果表明:玉米生育天数模拟的D值为0.58~0.95,产量模拟的D值为0.66~0.88,说明CERES-Maize模型可以较好地模拟出区域内玉米生育期和产量观测值的分布趋势;生育期的模拟误差小于产量的模拟误差;区域尺度的统计分析可以更准确的表示模型的模拟效果。

关键词: CERES-Maize模型, 玉米种植区, 适用性验证

Abstract: The historic maize planting dataset in 70 stations was collected to analyze and validate the availability of CERES-Maize crop growth model together with the historic weather data in China from 1998 to 2000.These stations are located at North China spring maize area,Huanghuaihai plain summer maize area,South China mountain maize area,Southwest China maize area and Northwest China maize area.The data of growing period and yield were taken into account.Several statistic indexes,such as index of agreement(D) and root mean square error(RMSE),were applied to analyze and assess the model performance.The value of D is from 0.58 to 0.95 between the simulation and observation about growing period and the D of yield is from 0.66 to 0.88.These indicated that the simulations by CERES-Maize had an adequately agreement with observations.The errors between simulation and observation of growing period were lower than that of yield.The results also showed that statistic analysis at regional scale could be better to express the simulation results and assessments.

Key words: CERES-Maize model, CERES-Maize model, Maize planting region, Validation