RothCModel: Implementation of the RothCModel

Description

This function implements the RothC model of Jenkinson et al. It is a wrapper for the more general function GeneralModel.

Usage

RothCModel(t, ks = c(k.DPM = 10, k.RPM = 0.3, k.BIO = 0.66, k.HUM = 0.02, 
    k.IOM = 0), C0 = c(0, 0, 0, 0, 2.7), In = 1.7, DR = 1.44, 
    clay = 23.4, xi = 1, solver = deSolve.lsoda.wrapper)

Arguments

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

A vector of lenght 5 containing the values of the decomposition rates for the different pools

A vector of length 5 containing the initial amount of carbon for the 5 pools.

A scalar or data.frame object specifying the amount of litter inputs by time.

A scalar representing the ratio of decomposable plant material to resistant plant material (DPM/RPM).

clay

Percent clay in mineral soil.

A scalar or data.frame object 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.

Value

A Model Object that can be further queried

References

Jenkinson, D. S., S. P. S. Andrew, J. M. Lynch, M. J. Goss, and P. B. Tinker. 1990. The Turnover of Organic Carbon and Nitrogen in Soil. Philosophical Transactions: Biological Sciences 329:361-368.

Examples

Run this code

t=0:500 
 Ex=RothCModel(t)
 Ct=getC(Ex)
 Rt=getReleaseFlux(Ex)
 
plot(t,Ct[,1],type="l",col=1, ylim=c(0,25),ylab=expression(paste("Carbon stores (Mg C", ha^-1,")")),xlab="Time (years)",lwd=2) 
lines(t,Ct[,2],col=2,lwd=2,lty=2) 
lines(t,Ct[,3],col=3,lwd=2,lty=3)
lines(t,Ct[,4],col=4,lwd=2,lty=4)
lines(t,Ct[,5],col=5,lwd=2,lty=5)
lines(t,rowSums(Ct),lwd=2)
legend("topright",c("Pool 1, DPM", "Pool 2, RPM",  "Pool 3, BIO","Pool 4, HUM","Pool 5, IOM","Total Carbon"),lty=c(1:5,1),lwd=rep(2,5),col=c(1,2,3,4,5,"black"),bty="n")

plot(t,Rt[,1],type="l",ylim=c(0,2),ylab="Respiration (Mg C ha-1 yr-1)",xlab="Time") 
lines(t,Rt[,2],col=2) 
lines(t,Rt[,3],col=3) 
lines(t,Rt[,4],col=4) 
lines(t,Rt[,5],col=5) 
lines(t,rowSums(Rt),lwd=2) 
legend("topright",c("Pool 1, DPM", "Pool 2, RPM",  "Pool 3, BIO","Pool 4, HUM","Pool 5, IOM","Total Respiration"),lty=c(1,1,1,1,1,1),lwd=c(1,1,1,1,1,2),col=c(1,2,3,4,5,1),bty="n")