Impact of spatial-temporal variations of climatic variables on summer maize yield in North China Plain
محل انتشار: مجله تولید گیاهان، دوره: 2، شماره: 1
سال انتشار: 1387
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 318
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شناسه ملی سند علمی:
JR_IJPPG-2-1_007
تاریخ نمایه سازی: 17 مهر 1398
چکیده مقاله:
Summer maize (Zea mays L.) is one of the dominant crops in the North China Plain (NCP). Its growth 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 1961 to 2000. The model was calibrated and validated using data from field experiments conducted during the 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 rainfed yield 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 solar radiation, 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 scientific basis for policy makers and researchers concerned with the management of food marketing decisions and water resource reallocation.
کلیدواژه ها:
نویسندگان
Dingrong Wu
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing ۱۰۰۱۰۱, P. R. China; Graduate School of the Chinese Academy of Sciences, Beijing ۱۰۰۰۳۹, P.R. China
Qiang Yu
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing ۱۰۰۱۰۱, P. R. China
Enli Wang
CSIRO Land and Water, Canberra ACT ۲۶۰۱, Australia
Huib Hengsdijk
Plant Research International, Wageningen University and Research Center, ۶۷۰۰ AA Wageningen, Netherlands