Diurnal Variation in Mesophyll Conductance and Its Influence on Modelled Water-use Efficiency in a Mature Boreal Pinus Sylvestris Stand
Overview
Affiliations
Mesophyll conductance (g) is a critical variable for the use of stable carbon isotopes to infer photosynthetic water-use efficiency (WUE). Although g is similar in magnitude to stomatal conductance (g), it has been measured less often, especially under field conditions and at high temporal resolution. We mounted an isotopic CO analyser on a field photosynthetic gas exchange system to make continuous online measurements of gas exchange and photosynthetic C discrimination (ΔC) on mature Pinus sylvestris trees. This allowed the calculation of g, g, net photosynthesis (A), and WUE. These measurements highlighted the asynchronous diurnal behaviour of g and g. While g declined from around 10:00, A declined first after 12:00, and g remained near its maximum until 16:00. We suggest that high g played a role in supporting an extended A peak despite stomatal closure. Comparing three models to estimate WUE from ∆C, we found that a simple model, assuming constant net fractionation during carboxylation (27‰), predicted WUE well, but only for about 75% of the day. A more comprehensive model, accounting explicitly for g and the effects of daytime respiration and photorespiration, gave reliable estimates of WUE, even in the early morning hours when WUE was more variable. Considering constant, finite g or g/g yielded similar WUE estimates on the diurnal scale, while assuming infinite g led to overestimation of WUE. These results highlight the potential of high-resolution g measurements to improve modelling of A and WUE and demonstrate that such g data can be acquired, even under field conditions.
Weerarathne L, Jahufer Z, Schaufele R, Lopez I, Matthew C Plant Environ Interact. 2023; 4(5):291-307.
PMID: 37829998 PMC: 10565840. DOI: 10.1002/pei3.10123.
Tikkasalo O, Leppa K, Launiainen S, Peltoniemi M, Makipaa R, Rinne-Garmston K Tree Physiol. 2023; 44(1).
PMID: 37756632 PMC: 10993295. DOI: 10.1093/treephys/tpad119.
Guo J, Beverly D, Ewers B, Williams D Photosynth Res. 2023; 157(2-3):85-101.
PMID: 37212937 DOI: 10.1007/s11120-023-01022-0.
Nunes T, Slawinska M, Lindner H, Raissig M Quant Plant Biol. 2023; 3:e6.
PMID: 37077975 PMC: 10095872. DOI: 10.1017/qpb.2021.19.
Ma W, Yu Y, Wang X, Gong X Front Plant Sci. 2023; 13:1037972.
PMID: 36714771 PMC: 9877432. DOI: 10.3389/fpls.2022.1037972.