Please use this identifier to cite or link to this item: https://doi.org/10.1111/pce.14997
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dc.titleSeasonal variation in the relationship between leaf chlorophyll content and photosynthetic capacity
dc.contributor.authorYu, Liyao
dc.contributor.authorLuo, Xiangzhong
dc.contributor.authorCroft, Holly
dc.contributor.authorRogers, Cheryl A
dc.contributor.authorChen, Jing M
dc.date.accessioned2024-06-10T04:31:54Z
dc.date.available2024-06-10T04:31:54Z
dc.date.issued2024-06-07
dc.identifier.citationYu, 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
dc.identifier.issn0140-7791
dc.identifier.issn1365-3040
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/248754
dc.description.abstractAccurate 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.
dc.publisherWiley
dc.sourceElements
dc.subjectchlorophyll fluorescence
dc.subjectJmax
dc.subjectlight acclimation
dc.subjectoptimality theory
dc.subjectVcmax
dc.typeArticle
dc.date.updated2024-06-10T02:43:44Z
dc.contributor.departmentGEOGRAPHY
dc.description.doi10.1111/pce.14997
dc.description.sourcetitlePlant, Cell & Environment
dc.published.statePublished
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