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Estimating leaf photosynthesis of C 3 plants grown under different environments from pigment index, photochemical reflectance index, and chlorophyll fluorescence
Photosynthesis Research ( IF 3.7 ) Pub Date : 2021-04-28 , DOI: 10.1007/s11120-021-00833-3
Katsuto Tsujimoto 1 , Kouki Hikosaka 1
Affiliation  

Photosynthetic rates vary depending on growth conditions, even within species. Remote sensing techniques have a great potential to predict the photosynthetic rates of leaves with different characteristics. Here, we demonstrate that the photosynthetic rates of leaves acclimated to different light and nutrient conditions can be estimated based on the chlorophyll fluorescence (ChlF), the photochemical reflectance index (PRI), and a chlorophyll index. Chenopodium album plants were grown under different light and nutrient conditions. PRI, ChlF parameters, and CO2/H2O gas exchange rates of leaves were simultaneously determined under the various light and CO2 conditions. PRI was used to assess non-photochemical quenching (NPQ), but the relationship between NPQ and PRI was weakened when the data on leaves grown under different conditions were pooled, because PRI in darkness (\(\text {PRI}_0\)) changed with the leaf pigment composition. Among 15 pigment indices, we found that \(\text {NDVI}_\text {green}\), a reflectance index related to the leaf chlorophyll content, had the best correlation with \(\text {PRI}_0\) (\(r^2=0.89\)) across the studied leaves, and the correction of PRI by \(\text {NDVI}_\text {green}\) improved the predictability of NPQ (\(r^2=0.82\)). Using the steady-state ChlF, the NPQ estimated from PRI and \(\text {NDVI}_\text {green}\), and the stomatal conductance coefficient, we calculated the CO2 assimilation rates, which were strongly correlated with the actual rates (RMSE = 4.85 \(\mu\)mol m\(^{-2}\) s\(^{-1}\)), irrespective of growth conditions. Our approach has the potential to contribute to a more accurate estimation of photosynthetic rates in remote sensing. However, further studies on species variations and connecting with radiative transfer models are needed to demonstrate this at the canopy scale.



中文翻译:

从色素指数、光化学反射指数和叶绿素荧光估计不同环境下生长的C 3 植物叶片光合作用

光合速率因生长条件而异,即使在物种内也是如此。遥感技术在预测不同特征叶片的光合速率方面具有巨大潜力。在这里,我们证明可以根据叶绿素荧光 (ChlF)、光化学反射指数 (PRI) 和叶绿素指数估计适应不同光照和营养条件的叶子的光合速率。藜属植物在不同的光照和营养条件下生长。PRI、ChlF参数和CO 2 /H 2 O气体交换率在不同光照和CO 2条件下同时测定状况。PRI用于评估非光化学猝灭(NPQ),但当合并不同条件下生长的叶子数据时,NPQ与PRI之间的关系减弱,因为PRI在黑暗中(\(\text {PRI}_0\))随叶色素成分变化。在15个色素指数中,我们发现与叶绿素含量相关的反射指数\(\text {NDVI}_\text {green}\)\(\text {PRI}_0\)的相关性最好( \(r^2=0.89\) ) 跨研究的叶子,并且通过\(\text {NDVI}_\text {green}\)对 PRI 的校正提高了 NPQ ( \(r^2=0.82\ ) )。使用稳态 ChlF,根据 PRI 和\(\text {NDVI}_\text {green}\)和气孔导度系数,我们计算了 CO 2同化率,其与实际速率密切相关 (RMSE = 4.85 \(\mu\) mol m \(^{-2}\) s \(^{-1}\) ),与生长条件无关。我们的方法有可能有助于更准确地估计遥感中的光合速率。然而,需要进一步研究物种变化并与辐射传输模型相联系,以在冠层尺度上证明这一点。

更新日期:2021-04-29
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