| TwopParallelModel {SoilR} | R Documentation |
This function creates a model for two independent (parallel) pools. It is a
wrapper for the more general function ParallelModel that can
handle an arbitrary number of pools.
TwopParallelModel( t, ks, C0, In, gam, 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 2 containing the decomposition rates for the 2 pools. |
C0 |
A vector of length 2 containing the initial amount of carbon for the 2 pools. |
In |
A scalar or a data.frame object specifying the amount of litter inputs by time. |
gam |
A scalar representing the partitioning coefficient, i.e. the proportion from the total amount of inputs that goes to pool 1. |
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 |
Forces the constructor to create the model even if it is invalid |
A Model Object that can be further queried
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.
There are other predefinedModels and also more
general functions like Model.
t_start=0
t_end=10
tn=50
timestep=(t_end-t_start)/tn
t=seq(t_start,t_end,timestep)
Ex=TwopParallelModel(t,ks=c(k1=0.5,k2=0.2),C0=c(c10=100, c20=150),In=10,gam=0.7,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)
legend("topright",c("Total C","C in pool 1", "C in pool 2"),
lty=c(1,1,1),col=c(1,2,4),lwd=c(2,1,1),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)
legend("topleft",c("Total C release","C release from pool 1", "C release from pool 2"),
lty=c(1,1,1),col=c(1,2,4),lwd=c(2,1,1),bty="n")