Description Usage Arguments Value Author(s) See Also Examples
This function creates a model for two independent (parallel) pools. 
It is a wrapper for the more general function GeneralModel_14 that can handle an arbitrary number of pools.
| 1 2 3 | ThreepParallelModel14(t, ks, C0, F0_Delta14C, In, gam1, gam2, 
    xi = 1, inputFc, lambda = -0.0001209681, lag = 0, solver = deSolve.lsoda.wrapper, 
    pass = FALSE)
 | 
| t | A vector containing the points in time where the solution is sought. It must be specified within the same period for which the Delta 14 C of the atmosphere is provided. The default period in the provided dataset  | 
| ks | A vector of length 3 containing the decomposition rates for the 3 pools. | 
| C0 | A vector of length 3 containing the initial amount of carbon for the 3 pools. | 
| F0_Delta14C | A vector of length 3 containing the initial amount of the radiocarbon fraction for the 3 pools in Delta14C values in per mil. | 
| In | A scalar or a data.frame object specifying the amount of litter inputs by time. | 
| gam1 | A scalar representing the partitioning coefficient, i.e. the proportion from the total amount of inputs that goes to pool 1. | 
| gam2 | A scalar representing the partitioning coefficient, i.e. the proportion from the total amount of inputs that goes to pool 2. | 
| xi | A scalar or a data.frame specifying the external (environmental and/or edaphic) effects on decomposition rates. | 
| inputFc | A Data Frame object containing values of atmospheric Delta14C per time. First column must be time values, second column must be Delta14C values in per mil. | 
| lambda | Radioactive decay constant. By default lambda=-0.0001209681 y^-1 . This has the side effect that all your time related data are treated as if the time unit was year. | 
| lag | A positive scalar representing a time lag for radiocarbon to enter the system. | 
| solver | A function that solves the system of ODEs. This can be  | 
| pass | if TRUE Forces the constructor to create the model even if it is invalid | 
A Model Object that can be further queried
Carlos A. Sierra, Markus Mueller
TwopSeriesModel14, TwopFeedbackModel14 
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | years=seq(1901,2009,by=0.5)
LitterInput=700 
Ex=ThreepParallelModel14(
  t=years,
  ks=c(k1=1/2.8, k2=1/35, k3=1/100),
  C0=c(200,5000,500),
  F0_Delta14C=c(0,0,0),
  In=LitterInput,
  gam1=0.7,
  gam2=0.1,
  inputFc=C14Atm_NH,
  lag=2
)
R14m=getF14R(Ex)
C14m=getF14C(Ex)
C14t=getF14(Ex)
par(mfrow=c(2,1))
plot(C14Atm_NH,type="l",xlab="Year",ylab="Delta 14C (per mil)",xlim=c(1940,2010)) 
lines(years, C14t[,1], col=4)
lines(years, C14t[,2],col=4,lwd=2)
lines(years, C14t[,3],col=4,lwd=3)
legend(
  "topright",
  c(
    "Delta 14C Atmosphere", 
    "Delta 14C pool 1",
    "Delta 14C pool 2", 
    "Delta 14C pool 3"
  ),
  lty=rep(1,4),
  col=c(1,4,4,4),
  lwd=c(1,1,2,3),
  bty="n"
)
plot(C14Atm_NH,type="l",xlab="Year",ylab="Delta 14C (per mil)",xlim=c(1940,2010)) 
lines(years,C14m,col=4)
lines(years,R14m,col=2)
legend("topright",c("Delta 14C Atmosphere","Delta 14C SOM", "Delta 14C Respired"),
       lty=c(1,1,1), col=c(1,4,2),bty="n")
par(mfrow=c(1,1))
 | 
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