Description Usage Arguments Details Value Note References Examples
Calculation of chi_o (see Wang et al., 2017; Plant Nature).
1 | calculate_chi_o(data, ColPhotos, ColVPD, ColTair, C, Z)
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data |
Data.frame or matrix containing all required variables. |
ColPhotos |
column name of numeric vector containing time series of photosynthesis data (umol CO2 m-2 s-1) |
ColVPD |
column name of numeric vector containing time series of vapor pressure deficit (kPa). |
ColTair |
column name of numeric vector containing time series of air temperature (deg C). |
C |
Empirical coeficient for C3 species. |
Z |
Z- numeric value defining elevation (km). |
the following metrics are calculated:
logistic_chi_o:
logistic_chi_o = 0.0545*(Tair_g-25)-0.58*log(VPD_g)-0.0815*Z+C
chi_o <- exp(logistic_chi_o)/(1+exp(logistic_chi_o))
Tair_g and VPD_g are calculated based on the mean value of the growing period. The growing period is estimated as those periods over the 85 quantile of Photos.
a numeric value:
chi_o |
long-term effective "internal" leaf-to-ambient CO2 (r.u) |
chi_o is unitless. Photos is calculated based on night-time NEE partitioning approach (Reichstein et al., 2005).
Wang, H., I. C. Prentice, et al., (2017), Towards a universal model for carbon dioxide uptake by plants, Nature Plants, 3(9), 734-741.
Reichstein, M., et al. (2005), On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Global Change Biology, 11(9), 1424-1439.
1 2 3 4 5 6 7 8 | ## filter data for dry periods and daytime at DE-Tha in June 2014
calculate_chi_o(data= EddySample
,ColPhotos = "GPP_NT_VUT_MEAN"
,ColVPD = "VPD_F"
,ColTair = "TA_F"
,C = 1.189 ##<< Empirical coeficient for C3 species (see Wang et al., 2017; Plant Nature).
,Z=0.27)
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