Modified photochemical reflectance index to estimate leaf maximum rate of carboxylation based on spectral analysis
Modified photochemical reflectance index to estimate leaf maximum rate of carboxylation based on spectral analysis
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基于光谱分析的改进光化学反射指数估计叶片最大羧化率
DOI：
10.1007/s10661-020-08736-x
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发表时间：
2020-11
影响因子：
3
通讯作者：
Yang Xiguang
中科院分区：
文献类型：
--
作者：
Yu Ying;Piao Jinxin;Fan Wenyi;Yang Xiguang
叶片的最大羧化速率（V - cmax）是用于确定光合速率的一个重要参数。准确估算V - cmax对于评估植被生产力的光合能力以及森林生态系统的碳收支非常重要。在本研究中，我们测量了叶片的光能利用效率（LUE）和V - cmax以及它们相应的光谱特征。利用光谱分析找到了一种改良的叶片光化学反射指数（PRI）来估算LUE，进而估算叶片的V - cmax。结果表明，改良的比率PRI指数估算LUE的精度显著提高。估算模型的R²为0.69，均方根误差（RMSE）为0.0024。基于LUE估算叶片V - cmax的模型的R²为0.72，RMSE为8.439 μmol/m²/s。针叶树（欧洲赤松、红松和落叶松）的V - cmax值高于阔叶树（白桦、核桃楸、西伯利亚榆、水曲柳、蒙古栎、山杨和紫椴）。这种方法避免了常规PRI对高叶片LUE值不敏感的问题，并为森林生态系统总初级生产力的定量估算提供了重要的参数数据。
The maximum rate of carboxylation in leaves (V-cmax) is an important parameter used to determine the photosynthetic rate. An accurate estimation of V-cmax is important for evaluating the photosynthetic capacity of vegetation productivity and the carbon budget of forest ecosystems. In this study, we measured the light use efficiency (LUE) and V-cmax of leaves and their corresponding spectral characteristics. Spectral analysis was used to find a modified photochemical reflectance index (PRI) of leaves to estimate LUE and thereby estimate leaf V-cmax. The results showed that the precision with which the modified ratio PRI index estimated LUE was significantly increased. The R-2 of the estimation model was 0.69, and the root mean square error (RMSE) was 0.0024. The R-2 of the model for estimating leaf V-cmax based on the LUE was 0.72, and the RMSE was 8.439 mu mol/m(2)/s. The V-cmax values of conifer trees (Scots pine, Korean pine, and larch) were higher than those of broadleaf trees (white birch, Manchurian walnut, Siberian elm, Manchurian ash, Mongolian oak, Korean aspen, and Amur linden). This method avoids problem that conventional PRI is not sensitive to high leaf LUE values and provides important parameter data for the quantitative estimation of the gross primary productivity of forest ecosystems.
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影响因子：
11.6
作者：
Kattge, Jens;Knorr, Wolfgang;Wirth, Christian
通讯作者：
Wirth, Christian
影响因子：
6.2
作者：
Alton, Paul B.
通讯作者：
Alton, Paul B.
影响因子：
6.2
作者：
P. Alton
通讯作者：
P. Alton
DOI：
10.1146/annurev.pp.39.060188.002533
发表时间：
1988
期刊：
--
影响因子：
--
作者：
I. E. Woodrow;J. Berry
通讯作者：
I. E. Woodrow;J. Berry
影响因子：
2.7
作者：
Gamon, JA;Serrano, L;Surfus, JS
通讯作者：
Surfus, JS