WUE.metrics | R Documentation |
Calculation of various water use efficiency (WUE) metrics.
WUE.metrics( data, GPP = "GPP", NEE = "NEE", LE = "LE", VPD = "VPD", Tair = "Tair", constants = bigleaf.constants() )
data |
Data.frame or matrix containing all required variables |
GPP |
Gross primary productivity (umol CO2 m-2 s-1) |
NEE |
Net ecosystem exchange (umol CO2 m-2 s-1) |
LE |
Latent heat flux (W m-2) |
VPD |
Vapor pressure deficit (kPa) |
Tair |
Air temperature (deg C) |
constants |
Cmol - molar mass of carbon (kg mol-1) |
the following metrics are calculated:
Water-use efficiency (WUE):
WUE = GPP / ET
Water-use efficiency based on NEE (WUE_NEE):
WUE_NEE = NEE / ET
Inherent water-use efficiency (IWUE; Beer et al. 2009):
IWUE = (GPP * VPD) / ET
Underlying water-use efficiency (uWUE; Zhou et al. 2014):
uWUE= (GPP * sqrt(VPD)) / ET
All metrics are calculated based on the median of all values. E.g. WUE = median(GPP/ET,na.rm=TRUE)
a named vector with the following elements:
WUE |
Water-use efficiency (gC (kg H20)-1) |
WUE_NEE |
Water-use efficiency based on NEE (gC (kg H20)-1) |
IWUE |
Inherent water-use efficiency (gC kPa (kg H20)-1) |
uWUE |
Underlying water-use efficiency (gC kPa^0.5 (kg H20)-1) |
Units for VPD can also be hPa. Units change accordingly. WUE_NEE is calculated based on the absolute value of NEE (the sign convention does not matter here).
Beer, C., et al., 2009: Temporal and among-site variability of inherent water use efficiency at the ecosystem level. Global Biogeochemical Cycles 23, GB2018.
Zhou, S., et al., 2014: The effect of vapor pressure deficit on water use efficiency at the sub-daily time scale. Geophysical Research Letters 41.
stomatal.slope
for a measure of intrinsic WUE
## filter data for dry periods and daytime at DE-Tha in June 2014 DE_Tha_Jun_2014_2 <- filter.data(DE_Tha_Jun_2014,quality.control=FALSE, vars.qc=c("Tair","precip","VPD","H","LE"), filter.growseas=FALSE,filter.precip=TRUE, filter.vars=c("Tair","PPFD","ustar"), filter.vals.min=c(5,200,0.2), filter.vals.max=c(NA,NA,NA),NA.as.invalid=TRUE, quality.ext="_qc",good.quality=c(0,1), missing.qc.as.bad=TRUE,GPP="GPP",doy="doy", year="year",tGPP=0.5,ws=15,min.int=5,precip="precip", tprecip=0.1,precip.hours=24,records.per.hour=2) ## calculate WUE metrics in the filtered periods WUE.metrics(DE_Tha_Jun_2014_2)
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