Please use this identifier to cite or link to this item:
https://doi.org/10.1111/pce.14997
Title: | Seasonal variation in the relationship between leaf chlorophyll content and photosynthetic capacity | Authors: | Yu, Liyao Luo, Xiangzhong Croft, Holly Rogers, Cheryl A Chen, Jing M |
Keywords: | chlorophyll fluorescence Jmax light acclimation optimality theory Vcmax |
Issue Date: | 7-Jun-2024 | Publisher: | Wiley | Citation: | Yu, Liyao, Luo, Xiangzhong, Croft, Holly, Rogers, Cheryl A, Chen, Jing M (2024-06-07). Seasonal variation in the relationship between leaf chlorophyll content and photosynthetic capacity. Plant, Cell & Environment. ScholarBank@NUS Repository. https://doi.org/10.1111/pce.14997 | Abstract: | Accurate estimation of photosynthesis is crucial for ecosystem carbon cycle modelling. Previous studies have established an empirical relationship between photosynthetic capacity (maximum carboxylation rate, Vcmax; maximum electron transport rate, Jmax) and leaf chlorophyll (Chl) content to infer global photosynthetic capacity. However, the basis for the Chl‐Vcmax relationship remains unclear, which is further evidenced by the temporal variations in the Chl‐Vcmax relationship. Using multiple years of observations of four deciduous tree species, we found that Vcmax and Jmax acclimate to photosynthetically active radiation faster (4–8 weeks) than Chl (10–12 weeks). This mismatch in temporal scales causes seasonality in the Vcmax‐Chl relationship. To account for the mismatch, we used a Chl fluorescence parameter (quantum yield of Photosystem II, Φ(II)) to tighten the relationship and found Φ(II) × Chl correlated with Vcmax and Jmax (r 2 = 0.74 and 0.72 respectively) better than only Chl (r 2 = 0.7 and 0.6 respectively). It indicates that Φ(II) accounts for the short‐ term adjustment of leaf photosynthetic capacity to light, which was not captured by Chl. Our study advances our understanding of the ecophysiological basis for the empirical Vcmax‐Chl relationship and how to better infer Vcmax from Chl and fluorescence, which guides large‐scale photosynthesis simulations using remote sensing. | Source Title: | Plant, Cell & Environment | URI: | https://scholarbank.nus.edu.sg/handle/10635/248754 | ISSN: | 0140-7791 1365-3040 |
DOI: | 10.1111/pce.14997 |
Appears in Collections: | Elements Staff Publications |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
Plant Cell Environment - 2024 - Yu.pdf | Published version | 2.5 MB | Adobe PDF | OPEN | Published | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.