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A test of the ‘one-point method’ for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis
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A test of the ‘one-point method’ for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis
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Journal Article
A test of the ‘one-point method’ for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis
2016
Overview
Simulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (V
cmax). Estimating this parameter using A–C
i curves (net photosynthesis, A, vs intercellular CO2 concentration, C
i) is laborious, which limits availability of V
cmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO2 concentration (A
sat) measurements, from which V
cmax can be extracted using a ‘one-point method’.
We used a global dataset of A–C
i curves (564 species from 46 field sites, covering a range of plant functional types) to test the validity of an alternative approach to estimate V
cmax from A
sat via this ‘one-point method’.
If leaf respiration during the day (R
day) is known exactly, V
cmax can be estimated with an r
2 value of 0.98 and a root-mean-squared error (RMSE) of 8.19 μmolm−2 s−1. However, R
day typically must be estimated. Estimating R
day as 1.5% of V
cmax, we found that V
cmax could be estimated with an r
2 of 0.95 and an RMSE of 17.1 μmolm−2 s−1.
The one-point method provides a robust means to expand current databases of fieldmeasured V
cmax, giving new potential to improve vegetation models and quantify the environmental drivers of V
cmax variation.
Publisher
New Phytologist Trust,Wiley Subscription Services, Inc
Subject
