| TwopSeriesModel {SoilR} | R Documentation |
This function creates a model for two pools connected in series. It is a
wrapper for the more general function GeneralModel.
TwopSeriesModel( t, ks, a21, C0, In, 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 with the values of the decomposition rate for pools 1 and 2. |
a21 |
A scalar with the value of the transfer rate from pool 1 to pool 2. |
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. |
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 |
if TRUE 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)
ks=c(k1=0.8,k2=0.4)
a21=0.5
C0=c(C10=100,C20=150)
In = 30
#
Temp=rnorm(t,15,1)
TempEffect=data.frame(t,fT.Daycent1(Temp))
#
Ex1=TwopSeriesModel(t,ks,a21,C0,In,xi=TempEffect)
Ct=getC(Ex1)
Rt=getReleaseFlux(Ex1)
#
plot(t,rowSums(Ct),type="l",ylab="Carbon stocks (arbitrary units)",
xlab="Time (arbitrary units)",lwd=2,ylim=c(0,sum(Ct[1,])))
lines(t,Ct[,1],col=2)
lines(t,Ct[,2],col=4)
legend("bottomright",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")