# ThreepParallelModel {SoilR}

### Description

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.

### Usage

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

### Arguments

- 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
`euler`

or`ode`

or any other user provided function with the same interface. - pass

### Values

A Model Object that can be further queried

### References

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.

### See Also

`TwopParallelModel`

and `ParallelModel`

### Examples

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")

Documentation reproduced from package SoilR, version 1.1-23. License: GPL-3