Bulk canopy intercellular CO2 concentration (Ci) calculated based on Fick's law given surface conductance (Gs), gross primary productivity (GPP) and atmospheric CO2 concentration (Ca).
intercellular.CO2(
data,
Ca = "Ca",
GPP = "GPP",
Gs = "Gs_mol",
Rleaf = NULL,
missing.Rleaf.as.NA = FALSE,
constants = bigleaf.constants()
)Bulk canopy intercellular CO2 concentration (umol mol-1)
Data.Frame or matrix with all required columns
Atmospheric or surface CO2 concentration (umol mol-1)
Gross primary productivity (umol CO2 m-2 s-1)
Surface conductance to water vapor (mol m-2 s-1)
Ecosystem respiration stemming from leaves (umol CO2 m-2 s-1); defaults to 0
if Rleaf is provided, should missing values be treated as NA (TRUE)
or set to 0 (FALSE, the default)?
DwDc - Ratio of the molecular diffusivities for water vapor and CO2 (-)
Bulk intercellular CO2 concentration (Ci) is given by:
$$Ci = Ca - (GPP - Rleaf)/(Gs/1.6)$$
where Gs/1.6 (mol m-2 s-1) represents the surface conductance to CO2.
Note that Gs is required in mol m-2 s-1 for water vapor. Gs is converted to
its value for CO2 internally.
Ca can either be atmospheric CO2 concentration (as measured), or surface
CO2 concentration as calculated from surface.CO2.
Kosugi Y. et al., 2013: Determination of the gas exchange phenology in an evergreen coniferous forest from 7 years of eddy covariance flux data using an extended big-leaf analysis. Ecol Res 28, 373-385.
Keenan T., Sabate S., Gracia C., 2010: The importance of mesophyll conductance in regulating forest ecosystem productivity during drought periods. Global Change Biology 16, 1019-1034.
# calculate bulk canopy Ci of a productive ecosystem
intercellular.CO2(Ca=400,GPP=40,Gs=0.7)
# note the sign convention for NEE
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