叶片的光合作用和气孔导度估算模型

叶片的光合作用和气孔导度估算模型

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Contributor(s)

Initial contribute: 2018-12-04

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Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Method-focused categoriesData-perspectiveRemote sensing analysis
Method-focused categoriesProcess-perspectiveBiological process calculation

Model Description

Chinese {{currentDetailLanguage}} Chinese

叶片的光合作用和气孔导度估算模型

(1) 叶片的净光合作用可表示为三个可能速率中的最小值与暗呼吸作用的差值,能量驱使速率可估计为:

式中,是在波长处叶片的能量吸收效率;是叶反射率;是叶片的透射率;是量子效率;是在叶片处的PAR辐射;是叶片内的分压,是的补偿点。

(2) 光合作用的Rubisco驱使速率的估计公式为:

式中,分别是的常数及在Rubisco反应中相对于的竞争抑制常数;Rubisco最大接触反应容量。

沉积限制的光合作用最大速率是在饱和的能量和浓度下的净光合作用速率,大约等于的一半。

(3) 气孔导度的估计公式为:

式中,bm是无量纲的回归常数;分别是叶表面的相对湿度和浓度。

(4) 冠层光合作用效率可通过对波谱的光合作用有效辐射的波普范围积分而得:

式中,是群丛的水平尺度;是冠层光合作用速率是在波长处入射的辐射通量。

 

参考文献:

Myneni R B, Ganapol B D,Asrar G:植被冠层光合作用和气孔导度效率的遥感。Remote Sensing of Environment199242

How to Cite

《资源环境数学模型手册》 (2018). 叶片的光合作用和气孔导度估算模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/94fd7f88-69b0-4eb8-9032-b2c62809c884
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Last modifier : 
zhengzhong
Last modify time : 
2020-12-30
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Contributor

Initial contribute: 2018-12-04

Co-contributor(s)

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feedback

History

Last modifier : 
zhengzhong
Last modify time : 
2020-12-30
Modify times : 
View History

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