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生态学杂志 ›› 2011, Vol. 30 ›› Issue (02): 389-394.

• 方法与技术 • 上一篇    下一篇

基于叶片尺度观测数据的气孔导度模型评价

米 娜,张玉书**,纪瑞鹏,蔡 福,赵先丽,张淑杰,王宏博   

  1. 中国气象局沈阳大气环境研究所, 沈阳 110016
  • 出版日期:2011-02-08 发布日期:2011-02-08

Evaluation of stomatal conductance models based on leaf-level measurements.

MI Na, ZHANG Yu-shu**, JI Rui-peng, CAI Fu, ZHAO Xian-li, ZHANG Shu-jie, WANG Hong-bo   

  1. Institute of Atmosphere Environment, |Shenyang, China Meteorologica Administration Shenyang 110016, China
  • Online:2011-02-08 Published:2011-02-08

摘要: 气孔导度(g)是控制冠层与大气之间能量和水分交换的重要因素。空气湿度是控制植物叶片气孔导度的一个关键环境因子。在过去的十几年中,普遍得到应用的是Ball-Woodrow-Berry(BWB)模型和Leuning模型中气孔导度与湿度的关系。本研究使用一个诊断变量f(H),基于农田叶片水平的光合-气孔导度观测数据,对BWB模型、Leuning模型以及新发展的power-h模型和power-D模型进行了气孔导度模拟效果的比较和评价。结果表明:BWB模型描述的是g和相对湿度(hs)之间的一种线性关系,当空气较为湿润时,模拟结果存在较大的低估;Leuning模型中反映的是g与饱和水汽压差(Ds)的非线性函数,降低了模拟结果的误差,但仍然不能很好地描述g在较湿状况下的显著升高;相比之下,两个新的模型,即Ds的指数函数和(1-hs)的指数函数形式模型能提高模拟结果的精度。这个研究结果也表明基于Ds的模型模拟效果要好于基于hs的模型。

关键词: 土壤有机碳蓄积量, 碳循环, 土壤碳循环

Abstract: Plant leaf stomatal conductance (g) is an important factor controlling the energy and water exchanges between canopy and atmosphere, while air humidity is a key environmental variable controlling the g. In last decade, the stomatal conductance- humidity relationships in Ball-Woodrow-Berry (BWB) and Leuning models were widely used. In this study, a new diagnostic parameter f(H) was adopted to assess the response of g to air humidity. Based on the leaflevel measurements in a cropland ecosystem, the performance of the BWB, Leuning, and newly developed power-h and power-D models was examined. The results showed that the BWB model which employs a linear relationship between g and relative humidity (hs) led to a larger underestimate of g when the air was wet, while the Leuning model which employs a nonlinear function of water vapor pressure deficit (Ds) decreased this bias but still not adequately captured the significant increase of g under the wet condition. Compared with BWB and Leuning models, the newly developed power-h and power-D models that employ a power function of Dsand a power function of relative humidity deficit (1-hs), respectively, showed better performance. The results also indicated that the models based on Ds generally performed better, compared with those based on hs.

Key words: Soil organic carbon storage, Carbon cycle, Soil carbon cycle