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Title: Seasonal trends in photosynthesis and leaf traits in scarlet oak

Abstract

Understanding seasonal variation in photosynthesis is important for understanding and modelling plant productivity. Here, we used shotgun sampling to examine physiological, structural and spectral leaf traits of upper canopy, sun-exposed leaves in Quercus coccinea Münchh (scarlet oak) across the growing season in order to understand seasonal trends, explore the mechanisms underpinning physiological change, and investigate the impact of extrapolating measurements from a single date to the whole season. We tested the hypothesis that photosynthetic rates and capacities would peak at the summer solstice i.e., at the time of peak photoperiod. Contrary to expectations, our results reveal a late-season peak in both photosynthetic capacity and rate before the expected sharp decrease at the start of senescence. This late-season maximum occurred after the higher summer temperatures and VPD, and was correlated with the recovery of leaf water content and increased stomatal conductance. We modelled photosynthesis at the top of the canopy and found that the simulated results closely tracked the maximum carboxylation capacity of Rubisco. For both photosynthetic capacity and modelled top-of-canopy photosynthesis, the maximum value was therefore not observed at the summer solstice. Rather, in each case the measurements at and around the solstice were close to the overall seasonal mean,more » with values later in the season leading to deviations from the mean by up to 41% and 52% respectively. Overall, we found that the expected Gaussian pattern of photosynthesis was not observed. We conclude that an understanding of species- and environment-specific changes in photosynthesis across the season is essential for correct estimation of seasonal photosynthetic capacity.« less

Authors:
 [1];  [2];  [2];  [2];  [2];  [2]; ORCiD logo [2]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States); Univ. of Cambridge (United Kingdom)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1762760
Report Number(s):
BNL-220902-2021-JAAM
Journal ID: ISSN 0829-318X
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Tree Physiology
Additional Journal Information:
Journal Volume: 41; Journal Issue: 8; Journal ID: ISSN 0829-318X
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Burnett, Angela C., Serbin, Shawn P., Lamour, Julien, Anderson, Jeremiah, Davidson, Kenneth J., Yang, Dedi, and Rogers, Alistair. Seasonal trends in photosynthesis and leaf traits in scarlet oak. United States: N. p., 2021. Web. doi:10.1093/treephys/tpab015.
Burnett, Angela C., Serbin, Shawn P., Lamour, Julien, Anderson, Jeremiah, Davidson, Kenneth J., Yang, Dedi, & Rogers, Alistair. Seasonal trends in photosynthesis and leaf traits in scarlet oak. United States. https://doi.org/10.1093/treephys/tpab015
Burnett, Angela C., Serbin, Shawn P., Lamour, Julien, Anderson, Jeremiah, Davidson, Kenneth J., Yang, Dedi, and Rogers, Alistair. Mon . "Seasonal trends in photosynthesis and leaf traits in scarlet oak". United States. https://doi.org/10.1093/treephys/tpab015. https://www.osti.gov/servlets/purl/1762760.
@article{osti_1762760,
title = {Seasonal trends in photosynthesis and leaf traits in scarlet oak},
author = {Burnett, Angela C. and Serbin, Shawn P. and Lamour, Julien and Anderson, Jeremiah and Davidson, Kenneth J. and Yang, Dedi and Rogers, Alistair},
abstractNote = {Understanding seasonal variation in photosynthesis is important for understanding and modelling plant productivity. Here, we used shotgun sampling to examine physiological, structural and spectral leaf traits of upper canopy, sun-exposed leaves in Quercus coccinea Münchh (scarlet oak) across the growing season in order to understand seasonal trends, explore the mechanisms underpinning physiological change, and investigate the impact of extrapolating measurements from a single date to the whole season. We tested the hypothesis that photosynthetic rates and capacities would peak at the summer solstice i.e., at the time of peak photoperiod. Contrary to expectations, our results reveal a late-season peak in both photosynthetic capacity and rate before the expected sharp decrease at the start of senescence. This late-season maximum occurred after the higher summer temperatures and VPD, and was correlated with the recovery of leaf water content and increased stomatal conductance. We modelled photosynthesis at the top of the canopy and found that the simulated results closely tracked the maximum carboxylation capacity of Rubisco. For both photosynthetic capacity and modelled top-of-canopy photosynthesis, the maximum value was therefore not observed at the summer solstice. Rather, in each case the measurements at and around the solstice were close to the overall seasonal mean, with values later in the season leading to deviations from the mean by up to 41% and 52% respectively. Overall, we found that the expected Gaussian pattern of photosynthesis was not observed. We conclude that an understanding of species- and environment-specific changes in photosynthesis across the season is essential for correct estimation of seasonal photosynthetic capacity.},
doi = {10.1093/treephys/tpab015},
journal = {Tree Physiology},
number = 8,
volume = 41,
place = {United States},
year = {Mon Jan 25 00:00:00 EST 2021},
month = {Mon Jan 25 00:00:00 EST 2021}
}

Works referenced in this record:

Leaf age affects the seasonal pattern of photosynthetic capacityand net ecosystem exchange of carbon in a deciduous forest
journal, June 2001


Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests
journal, June 2016


Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data
journal, August 2018


An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity
journal, September 2020

  • Jiang, Chongya; Ryu, Youngryel; Wang, Han
  • Global Change Biology, Vol. 26, Issue 11
  • DOI: 10.1111/gcb.15276

The response of stomatal conductance to seasonal drought in tropical forests
journal, October 2019

  • Wu, Jin; Serbin, Shawn P.; Ely, Kim S.
  • Global Change Biology, Vol. 26, Issue 2
  • DOI: 10.1111/gcb.14820

A test of the ‘one-point method’ for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis
journal, December 2015

  • De Kauwe, Martin G.; Lin, Yan-Shih; Wright, Ian J.
  • New Phytologist, Vol. 210, Issue 3
  • DOI: 10.1111/nph.13815

The “one‐point method” for estimating maximum carboxylation capacity of photosynthesis: A cautionary tale
journal, June 2019

  • Burnett, Angela C.; Davidson, Kenneth J.; Serbin, Shawn P.
  • Plant, Cell & Environment, Vol. 42, Issue 8
  • DOI: 10.1111/pce.13574

Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling
journal, May 2012

  • Bauerle, W. L.; Oren, R.; Way, D. A.
  • Proceedings of the National Academy of Sciences, Vol. 109, Issue 22
  • DOI: 10.1073/pnas.1119131109

Gradients of light availability and leaf traits with leaf age and canopy position in 28 Australian shrubs and trees
journal, January 2006

  • Wright, Ian J.; Leishman, Michelle R.; Read, Cassia
  • Functional Plant Biology, Vol. 33, Issue 5
  • DOI: 10.1071/FP05319

Age-related trends in red spruce foliar plasticity in relation to declining productivity
journal, February 2008


Global photosynthetic capacity is optimized to the environment
journal, January 2019

  • Smith, Nicholas G.; Keenan, Trevor F.; Colin Prentice, I.
  • Ecology Letters, Vol. 22, Issue 3
  • DOI: 10.1111/ele.13210

Spatial and seasonal variability of photosynthetic parameters and their relationship to leaf nitrogen in a deciduous forest
journal, May 2000


Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species
journal, October 2014

  • Serbin, Shawn P.; Singh, Aditya; McNeil, Brenden E.
  • Ecological Applications, Vol. 24, Issue 7
  • DOI: 10.1890/13-2110.1

Seasonal CO2 assimilation and stomatal limitations in a Pinus taeda canopy
journal, April 2000


Lower photorespiration in elevated CO 2 reduces leaf N concentrations in mature Eucalyptus trees in the field
journal, February 2019

  • Wujeska‐Klause, Agnieszka; Crous, Kristine Y.; Ghannoum, Oula
  • Global Change Biology, Vol. 25, Issue 4
  • DOI: 10.1111/gcb.14555

Global-scale environmental control of plant photosynthetic capacity
journal, December 2015

  • Ali, Ashehad A.; Xu, Chonggang; Rogers, Alistair
  • Ecological Applications, Vol. 25, Issue 8
  • DOI: 10.1890/14-2111.1

Seasonal patterns of leaf gas exchange and water relations in dry rain forest trees of contrasting leaf phenology
journal, May 2006


An evaluation of noninvasive methods to estimate foliar chlorophyll content
journal, January 2002


Leaf age and seasonal effects on light, water, and nitrogen use efficiency in a California shrub
journal, February 1983


Optimal stomatal behaviour around the world
journal, March 2015

  • Lin, Yan-Shih; Medlyn, Belinda E.; Duursma, Remko A.
  • Nature Climate Change, Vol. 5, Issue 5
  • DOI: 10.1038/nclimate2550

Leaf traits and canopy structure together explain canopy functional diversity: an airborne remote sensing approach
journal, November 2020

  • Kamoske, Aaron G.; Dahlin, Kyla M.; Serbin, Shawn P.
  • Ecological Applications, Vol. 31, Issue 2
  • DOI: 10.1002/eap.2230

In vivo temperature response functions of parameters required to model RuBP-limited photosynthesis
journal, September 2003


Reconciling the optimal and empirical approaches to modelling stomatal conductance: RECONCILING OPTIMAL AND EMPIRICAL STOMATAL MODELS
journal, January 2011


Effects of season, needle age and elevated atmospheric CO2 on photosynthesis in Scots pine (Pinus sylvestris)
journal, February 2000


Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
journal, September 2017

  • Rogers, Alistair; Serbin, Shawn P.; Ely, Kim S.
  • New Phytologist, Vol. 216, Issue 4
  • DOI: 10.1111/nph.14740

tealeaves: an R package for modelling leaf temperature using energy budgets
journal, November 2019


Modelling C 3 photosynthesis from the chloroplast to the ecosystem : Scaling photosynthesis using models
journal, May 2013

  • Bernacchi, Carl J.; Bagley, Justin E.; Serbin, Shawn P.
  • Plant, Cell & Environment, Vol. 36, Issue 9
  • DOI: 10.1111/pce.12118

Improved temperature response functions for models of Rubisco-limited photosynthesis
journal, February 2001


Nitrogen and Phosphorus Retranslocation of Leaves and Stemwood in a Mature Eucalyptus Forest Exposed to 5 Years of Elevated CO2
journal, May 2019

  • Crous, Kristine Y.; Wujeska-Klause, Agnieszka; Jiang, Mingkai
  • Frontiers in Plant Science, Vol. 10
  • DOI: 10.3389/fpls.2019.00664

Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global-scale terrestrial biosphere models
journal, April 2009


Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem
journal, March 2017