Leaf chlorophyll content as a proxy for leaf photosynthetic capacity

Croft, Holly; Chen, Jing M.; Luo, Xiangzhong; Bartlett, Paul; Chen, Bin; Staebler, Ralf M.

doi:10.1111/gcb.13599

Leaf chlorophyll content as a proxy for leaf photosynthetic capacity

Journal Article · Wed Dec 14 00:00:00 EST 2016 · Global Change Biology

DOI:https://doi.org/10.1111/gcb.13599· OSTI ID:1567098

^[1]; Chen, Jing M. ^[1]; Luo, Xiangzhong ^[1]; Bartlett, Paul ^[2]; Chen, Bin ^[3]; Staebler, Ralf M. ^[4]

Univ. of Toronto, Toronto, Ontario (Canada). Dept. of Geography
Climate Research Division Environment and Climate Change Canada, Toronto, Ontario (Canada)
Univ. of Toronto, Toronto, Ontario (Canada). Dept. of Geography; Science Nanjing Univ., Nanjing (China). International Inst. for Earth System
Environment and Climate Change Canada, Toronto, Ontario (Canada). Air Quality Processes Research Section

Improving the accuracy of estimates of forest carbon exchange is a central priority for understanding ecosystem response to increased atmospheric CO₂ levels and improving carbon cycle modelling. However, the spatially continuous parameterization of photosynthetic capacity (Vcmax) at global scales and appropriate temporal intervals within terrestrial biosphere models (TBMs) remains unresolved. This research investigates the use of biochemical parameters for modelling leaf photosynthetic capacity within a deciduous forest. Particular attention is given to the impacts of seasonality on both leaf biophysical variables and physiological processes, and their interdependent relationships. Four deciduous tree species were sampled across three growing seasons (2013-2015), approximately every 10 days for leaf chlorophyll content (Chl_Leaf ) and canopy structure. Leaf nitrogen (N_Area) was also measured during 2014. Leaf photosynthesis was measured during 2014-2015 using a Li-6400 gas-exchange system, with A-Ci curves to model Vcmax. Results showed that seasonality and variations between species resulted in weak relationships between Vcmax normalized to 25°C (Vcmax₂₅) and N_Area (R² = 0.62, P < 0.001), whereas Chl_Leaf demonstrated a much stronger correlation with Vcmax₂₅ (R² = 0.78, P < 0.001). The relationship between Chl_Leaf and N_Area was also weak (R² = 0.47, P < 0.001), possibly due to the dynamic partitioning of nitrogen, between and within photosynthetic and nonphotosynthetic fractions. The spatial and temporal variability of Vcmax₂₅ was mapped using Landsat TM/ETM satellite data across the forest site, using physical models to derive Chl_Leaf. TBMs largely treat photosynthetic parameters as either fixed constants or varying according to leaf nitrogen content. This research challenges assumptions that simple N_Area-Vcmax₂₅ relationships can reliably be used to constrain photosynthetic capacity in TBMs, even within the same plant functional type. It is suggested that Chl_Leaf provides a more accurate, direct proxy for Vcmax₂₅ and is also more easily retrievable from satellite data. These results have important implications for carbon modelling within deciduous ecosystems.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1567098

Journal Information:: Global Change Biology, Journal Name: Global Change Biology Journal Issue: 9 Vol. 23; ISSN 1354-1013

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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