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Zoltán BARCZA 2020-10-24 14:20:20 +02:00 committed by GitHub
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@ -220,10 +220,11 @@ A note from the Biome-BGC User's Guide: "Livewood is defined as the actively res
Assume that we would like to dig a bit deeper with the model and understand the effect of changing ecophysiological variables on the model results. This can easily be performed with RBBGCMuso. Execute the following command in R/RStudio:
#+BEGIN_SRC R :eval no
musoQuickEffect(calibrationPar = 13, startVal = 0, endVal = 9, nSteps = 5, outVar = 3009)
musoQuickEffect(calibrationPar = 13, startVal = 0, endVal = 9, nSteps = 5, outVar = 3009, yearNum=-1)
#+END_SRC
This command selects the 13th line in the ecophysiological constants (EPC) file (this is base temperature), then it starts to replace the original value from 0 to 9 in 5 consecutive steps. In this example GPP is selected (variable number 3009, which is the 2nd variable), so the effect of varying base temperature on GPP is calculated using 5 simulations. The result is a spectacular plot where color coding is used distinguish the parameter values.
This command selects the 13th line in the ecophysiological constants (EPC) file (this is base temperature), then it starts to replace the original value from 0 to 9 in 5 consecutive steps. In this example GPP is selected (variable number 3009, which is the 2nd variable), so the effect of varying base temperature on GPP is calculated using 5 simulations. The result is a spectacular plot where color coding is used distinguish the parameter values. , yearNum=-1 means that the experiment is done for the last year of the simulation. Remember that in crop rotation simulations the effect might be invisible if there is a conflict between year number and crop type.
At present musoQuickEffect is not usable for the allocation parameters due to restrictions of the allocation fractions.
*** Study the effect of ecophysiological parameters using paramSweep