Models of Soil Organic Matter Decomposition

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The function creates a model for three independent (parallel) pools. It is a wrapper for the more general function
`ParallelModel`

that can handle an arbitrary number of pools.

1 2 3 | ```
ThreepParallelModel(t,
ks, C0, In, gam1, gam2, xi = 1, solver = deSolve.lsoda.wrapper,
pass = FALSE)
``` |

`t` |
A vector containing the points in time where the solution is sought. |

`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. |

`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. |

`solver` |
A function that solves the system of ODEs. This can be |

`pass` |

A Model Object that can be further queried

Carlos A. Sierra <csierra@bgc-jena.mpg.de>, Markus Mueller <mamueller@bgc-jena.mpg.de>

Sierra, C.A., M. Mueller, S.E. Trumbore. 2012. Models of soil organic matter decomposition: the SoilR package version 1.0. Geoscientific Model Development 5, 1045-1060.

`TwopParallelModel`

and `ParallelModel`

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 | ```
t_start=0
t_end=10
tn=50
timestep=(t_end-t_start)/tn
t=seq(t_start,t_end,timestep)
Ex=ThreepParallelModel(t,ks=c(k1=0.5,k2=0.2,k3=0.1),
C0=c(c10=100, c20=150,c30=50),In=20,gam1=0.7,gam2=0.1,xi=0.5)
Ct=getC(Ex)
plot(t,rowSums(Ct),type="l",lwd=2,
ylab="Carbon stocks (arbitrary units)",xlab="Time",ylim=c(0,sum(Ct[1,])))
lines(t,Ct[,1],col=2)
lines(t,Ct[,2],col=4)
lines(t,Ct[,3],col=3)
legend("topright",c("Total C","C in pool 1", "C in pool 2","C in pool 3"),
lty=c(1,1,1,1),col=c(1,2,4,3),lwd=c(2,1,1,1),bty="n")
Rt=getReleaseFlux(Ex)
plot(t,rowSums(Rt),type="l",ylab="Carbon released (arbitrary units)",
xlab="Time",lwd=2,ylim=c(0,sum(Rt[1,])))
lines(t,Rt[,1],col=2)
lines(t,Rt[,2],col=4)
lines(t,Rt[,3],col=3)
legend("topright",c("Total C release","C release from pool 1",
"C release from pool 2","C release from pool 3"),
lty=c(1,1,1,1),col=c(1,2,4,3),lwd=c(2,1,1,1),bty="n")
``` |

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