Impact of spatial-temporal variations of climatic variables onsummer maize yield in North China Plain

D. Wu, Q. Yu, E. Wang, H. Hengsdijk

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    37 Citations (Scopus)


    Summer maize (Zea mays L.) is one of the dominant crops in the North China Plain (NCP). Itsgrowth is greatly influenced by the spatial-temporal variation of climatic variables, especially solar radiation, temperature and rainfall. The WOFOST (version 7.1) model was applied to evaluate the impact of climatic variability on summer maize yields using historical meteorological data from 1961to 2000. The model was calibrated and validated using data from field experiments conducted duringthe period 1998-1999 and simulations were run to analyses the climate impact. Simulated potential yield ranges from 7.7 to 10.0 Mg ha-1, with an increasing trend from south to north, while rainfedyield ranges from 4.3 to 8.1 Mg ha-1, and with an increasing trend from the middle to the north and south of NCP. Gaps between potential and rainfed yields also decreased from the middle to the north and south. The pattern of potential yield was mainly attributed to the distribution of solar radiation and temperature, whereas rainfed yield was mainly influenced by the distribution of rainfall.Interannual variability n of potential yield is small, and was closely related to the variation of solarradiation, while rainfed yield varied greatly, especially in the middle of the plain, where the rainfall is lowest. Combined with consistent research results of winter wheat, results of this study offer scientificbasis for policy makers and researchers concerned with the management of food marketing decisions and water resource reallocation
    Original languageEnglish
    Pages (from-to)71-88
    Number of pages17
    JournalInternational Journal of Plant Production
    Issue number1
    Publication statusPublished - 2008


    • water-use efficiency
    • winter-wheat
    • simulation
    • interpolation
    • coefficients
    • systems
    • model


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