Nothing
##########################
#The models
#########################
#model for fitting alfa on fitted P-E curves
#this is the most complex model in the two step fit, all reduced models are derived by setting a subset of parameters to a fixed value
alfamod <- function(temp, Si, dia, S,
ad = 0.01, aa = 0.01, Q10d = 2, Q10a = 2, kSi = 0.005, bS = 0.09) {
LSi <- Si/(Si+kSi)
fS = 1+bS*S
alfaDia <- ad*LSi*Q10d**((temp-10)/10)
alfaAlg <- aa*Q10a**((temp-10)/10)
alfa <- alfaDia*pmax(alfaAlg==0,dia/100) + alfaAlg*(100-dia)/100
return(fS*alfa)
}
#Exactly the same models are derived for Pm, only the parameters are named differently
Pmmod <- function(temp, Si, dia, S,
Pmd = 5, Pma = 5, Q10d = 2, Q10a = 2, kSi = 0.005, bS = 0.09) {
LSi <- Si/(Si+kSi)
fS = 1+bS*S
PmDia <- Pmd*LSi*Q10d**((temp-10)/10)
PmAlg <- Pma*Q10a**((temp-10)/10)
Pm <- PmDia*pmax(PmAlg==0,dia/100) + PmAlg*(100-dia)/100
return(fS*Pm)
}
#And for combined alfa, Pm fitting
PEmod <- function(E, temp, Si, dia, S,
Pmd = 5, Pma = 5, ad = 0.01, aa = 0.01, Q10d = 2, Q10a = 2, kSi = 0.005, bS = 0.09) {
LSi <- Si/(kSi+Si)
fS <- 1+bS*S
PPd <- Pmd * LSi * Q10d**(temp/10-1) * (1 - exp(-ad*E/Pmd))
PPa <- Pma * Q10a**(temp/10-1) * (1 - exp(-aa*E/Pma))
PP <- PPd *pmax(PPa==0,dia/100) + PPa * (1-dia/100)
PPS <- PP * fS
return(PPS)
}
PEmod2 <- function(E, temp, Si, dia, S,
Pmd = 5, Pma = 5, ad = 0.01, aa = 0.01, Q10da = 2, Q10dP = 2,
Q10aa = 2, Q10aP = 2, kSia = 0.005, kSiP = 0.005, bS = 0.09) {
LSia <- Si/(kSia+Si)
LSiP <- Si/(kSiP+Si)
fS <- 1+bS*S
fTda <- Q10da**(temp/10-1)
fTdP <- Q10dP**(temp/10-1)
fTaa <- Q10aa**(temp/10-1)
fTaP <- Q10aP**(temp/10-1)
PPd <- Pmd * LSiP * fTdP * (1 - exp(-ad*fTda*LSia*E/(Pmd*fTdP*LSiP)))
PPa <- Pma * fTaP * (1 - exp(-aa*fTaa*E/(Pma*fTaP)))
PP <- PPd *pmax(PPa==0,dia/100) + PPa * (1-dia/100)
PPS <- PP * fS
return(PPS)
}
PEmodFlynn <- function(E, temp, Si, dia, S,
Pmd = 5, Pma = 5, ad = 0.01, aa = 0.01,
Q10d = 2, Q10a = 2, kSi = 0.005, bS = 0.09) {
LSi <- Si/(kSi+Si)
fTd <- Q10d**(temp/10-1)
fTa <- Q10a**(temp/10-1)
fS <- 1+bS*S
PPd <- Pmd * LSi * fTd * (1 - exp(-ad*E/(Pmd*LSi*fTd)))
PPa <- Pma * fTa * (1 - exp(-aa*E/(Pma*fTa)))
PP <- PPd *pmax(PPa==0,dia/100) + PPa * (1-dia/100)
PPS <- PP * fS
return(PPS)
}
# P(E) (Simple Platt)
Platt <- function(E, Pm = 5, alpha = 0.005) {
PP <- Pm*(1-exp(-alpha*E/Pm))
return(PP)
}
#Eilers Peeters
EP <- function(E,a = 0.0005, b = 0.1, c = 50) {
PP <- E*(a*E^2 + b*E + c)^-1
return(PP)
}
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