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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