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黄土高原晋中盆地从叶片尺度到冠层尺度上推导出的参数来估算苹果树的冠层气孔导度和光合作用。

Estimating canopy stomatal conductance and photosynthesis in apple trees by upscaling parameters from the leaf scale to the canopy scale in Jinzhong Basin on Loess Plateau.

机构信息

College of Environment and Resource, Shanxi University, Taiyuan 030006, China; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Shanxi Laboratory for Yellow River, Taiyuan 030006, China; Academy of Water Resources Conservation Forests in Qilian Mountains of Gansu Province, Zhangye 734000, China.

College of Environment and Resource, Shanxi University, Taiyuan 030006, China.

出版信息

Plant Physiol Biochem. 2023 Sep;202:107939. doi: 10.1016/j.plaphy.2023.107939. Epub 2023 Aug 5.

Abstract

The estimations of stomatal conductance and photosynthesis performed by upscaling the parameters from the leaf scale to the canopy scale are key points in the fields of forest ecohydrology and physiology. The foundation for solving this scientific problem is determining the optimal models for calculating the leaf stomatal conductance (g) and photosynthetic rate (P). In this study, we used the Jarvis model combined with modification factors, including leaf-air temperature (ΔT) and CO concentration inside and outside the stomata (ΔC), to estimate g and the new Ye light-response model to estimate the P of apple trees in Jinzhong Basin on Loess Plateau. The results show that the modified Jarvis (Jarvis) model and the new Ye light-response model could estimate g and P, respectively, with very high accuracy, with R values of 0.926 and 0.959 for the former, and 0.987 and 0.983 for the latter in 2019 and 2021, respectively. Then, we estimated the canopy stomatal conductance (g) and photosynthetic rate (P) by first dividing the apple tree canopy into sunlit and shaded leaves and then summing the contribution of sunlit and shaded g, P and leaf area index. Our efforts will be a valid reference for estimating the g and P of other tree or crop species in the future.

摘要

从叶片尺度到冠层尺度放大参数来估算气孔导度和光合作用,是森林生态水文学和生理学领域的关键点。解决这一科学问题的基础是确定计算叶片气孔导度 (g) 和光合速率 (P) 的最佳模型。本研究采用结合了叶片-空气温度 (ΔT) 和气孔内外 CO 浓度 (ΔC) 修正因子的 Jarvis 模型来估算 g,采用新的 Ye 光响应模型来估算黄土高原晋中盆地苹果树的 P。结果表明,修正的 Jarvis (Jarvis) 模型和新的 Ye 光响应模型分别能够非常准确地估算 g 和 P,前者在 2019 年和 2021 年的 R 值分别为 0.926 和 0.959,后者分别为 0.987 和 0.983。然后,我们通过首先将苹果树冠层划分为受光和遮光叶片,然后汇总受光和遮光叶片的 g、P 和叶面积指数的贡献,来估算冠层气孔导度 (g) 和光合速率 (P)。我们的努力将为未来估算其他树木或作物物种的 g 和 P 提供有效参考。

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