| 华北地区冬小麦叶片光合作用模型在农业干旱预测中的应用研究 |
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| 引用本文： | 刘建栋,王馥棠,于强,毛飞,毕建杰,樊广华.华北地区冬小麦叶片光合作用模型在农业干旱预测中的应用研究[J].应用气象学报,2003,14(4):469-478. |
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| 作者姓名： | 刘建栋 王馥棠 于强 毛飞 毕建杰 樊广华 |
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| 作者单位： | 1.中国气象科学研究院, 北京 100081 |
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| 基金项目： | 国家"十五"科技攻关计划"农林重大病虫害和农业气象灾害的预警及控制技术研究"之"农业气象灾害预警技术研究"(2001BA509B13)及科技部社会公益研究专项资助项目"华北干旱和东北低温冷害监测预警技术研究"(2001DIB20096)课题资助. |
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| 摘 要： | 在冬小麦抽穗—灌浆期进行了水分胁迫实验，利用美国Licor公司生产的Licor-188B辐射量子照度仪及Licor-6400便携式光合作用测定仪，对水分胁迫引起的冬小麦光合生理生态变化进行了系统观测，系统地给出了冬小麦多种农业气象指标对水分胁迫的响应状况。在大量实测数据基础上，给出了包含辐射强度、温度及土壤水分因子的冬小麦叶片光合作用模式。该模式具有严格的理论推导过程和大量实验数据的支持，改进了传统水分胁迫对叶片光合速率影响的简单阶乘方法，从而为进一步准确推算水分胁迫对大田冬小麦光合作用的可能影响，以及水分胁迫对区域农业干旱的可能影响奠定了前提条件。该研究是冬小麦干旱预测模型的叶片子模型，为冬小麦农业干旱预测模型提供了丰富的基本参数，同时也为建立冬小麦干旱预测模型奠定了基本条件。
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| 关 键 词： | 华北地区 冬小麦 农业干旱模型 |
| 收稿时间： | 2003-04-06 |
| 修稿时间： | 2003年4月6日 |
Application of the Leaf Photosynthesis Model for Forecasting Effect of Drought on Winter Wheat in North China Plain |
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| Liu Jiandong,Wang Futang,Yu Qiang,Mao Fei,Bi Jianjie,Fan Guanghua.Application of the Leaf Photosynthesis Model for Forecasting Effect of Drought on Winter Wheat in North China Plain[J].Quarterly Journal of Applied Meteorology,2003,14(4):469-478. |
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| Authors: | Liu Jiandong Wang Futang Yu Qiang Mao Fei Bi Jianjie Fan Guanghua |
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| Affiliation: | 1.Chinese Academy of Meteorological Sciences, Beijing 1000812.Institute of the Geographic Sciences and Resources Research, CAS, Beijing 1001013.Department of Agronomy, Shandong Agricultural University, Taian 271018 |
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| Abstract: | The North China Plain is one of the most important food crop production regions in C hina, and the winter wheat is frequently influenced by droughts during its growt h periods. In order to give the accurate drought information, a water stress exp eriment was made during the jointing stage of winter wheat in the Shandong Agric ultural University. The photosynthesis change due to water stress was measured s ystematically, and a number of agrometeorological indexes responding to the wate r stress were determined. A combined model is established for simulating leaf ph otosynthesis based on the data observed with Licor-6400, which includes environ m ental factors such as CO 2 concentration, solar radiation, temperature and soil humidity. Validation of the model shows that it can simulate photosynthetic rat e fairly well, and the coefficient of correlation can reach 0.98 with 99 samples . A great deal of observed data is given, which provides basic parameters for es tablishing the agrometeorological model so to forecast the effect of drought on winter wheat in North China Plain. |
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| Keywords: | Agrometeorological model Winter wheat Drought st ress |
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