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基于SVAT模型的冬小麦光合作用和蒸散过程研究
引用本文:莫兴国,刘苏峡,林忠辉.基于SVAT模型的冬小麦光合作用和蒸散过程研究[J].应用生态学报,2002,13(11):1394-1398.
作者姓名:莫兴国  刘苏峡  林忠辉
作者单位:中国科学院地理科学与资源研究所,北京100101
基金项目:国家自然科学基金重大项目 (4 9890 3 3 0 ),中国科学院地理科学与资源研究所创新资助项目 (CXIOG C0 0 0 5 0 1) .
摘    要:在已建立的土壤-植被-大气传输(SVAT)模型中,冠层光合作用/气孔导度耦合子模型可区分遮荫叶和受光叶光合作用强度的差异;作物生长模型考虑了生长呼吸和维持呼吸,模拟与实测结果对比发现,日总蒸散量实测和模拟的根均方差(RMSD)为0.65mm,平均绝对差(MAPD)为14%;对冠层上部净光合作用率日变化过程而言,实测和模拟结果具有较好的一致性。利用模型模拟了冬小麦全生育争光合作用率和蒸散的演变过程。最后,分析了冬小麦蒸散和水分利用效率对不同最大叶面积指数,大气CO2浓度和叶片N含量的响应。

关 键 词:SVAT模型  冬小麦  光合作用  蒸散过程
文章编号:1001-9332(2002)11-1394-05
修稿时间:2001年1月15日

Simulating photosynthesis and evapotranspiration of winter wheat with a SVAT model
MO Xingguo,LIU Suxia,LIN Zhonghui.Simulating photosynthesis and evapotranspiration of winter wheat with a SVAT model[J].Chinese Journal of Applied Ecology,2002,13(11):1394-1398.
Authors:MO Xingguo  LIU Suxia  LIN Zhonghui
Institution:Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101. moxg@igsnrr.ac.cn
Abstract:Two submodels were added to the developed soil vegetation atmosphere transfer model. Of the two sub models, one was the canopy photosynthesis/stomatal coupled sub model distinguishing the sun light and shaded leaves, and the second was the simplified growth sub model considering growth respiration and maintenance respiration. The comparison of measured and simulated daily evapotranspiration showed that the RMSD (root mean standard deviation) of model prediction to observation was 0.65 mm, and MAPD (mean absolute percent difference) was 14%. The daily course of the simulated and measured photosynthesis rates at the top of canopy were in good consistency. With the high resolution meteorological data, the canopy net photosynthesis and evapotranspiration were simulated over the whole growing season.The sensitivities of maximum leaf area index, environmental CO 2 concentration and leaf nitrogen content to evapotranspiration and water use efficiency were also analyzed.
Keywords:Photosynthesis  Evapotranspiration  Water use efficiency  
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