Description Usage Arguments Value Author(s) See Also Examples

This function creates a model for three pools connected in series.
It is a wrapper for the more general function `GeneralModel_14`

that can handle an arbitrary number of pools.

1 2 3 | ```
ThreepSeriesModel14(t, ks, C0, F0_Delta14C, In, a21, a32, 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 containig the initial amount of the radiocarbon fraction for the 3 pools. |

`In` |
A scalar or a data.frame object specifying the amount of litter inputs by time. |

`a21` |
A scalar with the value of the transfer rate from pool 1 to pool 2. |

`a32` |
A scalar with the value of the transfer rate from pool 2 to pool 3 as Delta14C values in per mil. |

`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 <[email protected]>, Markus Mueller <[email protected]>

`ThreepParallelModel14`

, `ThreepFeedbackModel14`

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 | ```
years=seq(1901,2009,by=0.5)
LitterInput=700
Ex=ThreepSeriesModel14(
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, a21=0.1, a32=0.01,inputFc=C14Atm_NH
)
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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