| RothCModel {SoilR} | R Documentation |
This function implements the RothC model of Jenkinson et al. It is a wrapper
for the more general function GeneralModel.
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, FYM = 0, DR = 1.44, clay = 23.4, 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 5 containing the values of the decomposition rates for the different pools |
C0 |
A vector of length 5 containing the initial amount of carbon for the 5 pools. |
In |
A scalar or data.frame object specifying the amount of litter inputs by time. |
FYM |
A scalar or data.frame object specifying the amount of Farm Yard Manure inputs by time. |
DR |
A scalar representing the ratio of decomposable plant material to resistant plant material (DPM/RPM). |
clay |
Percent clay in mineral soil. |
xi |
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
|
pass |
if TRUE forces the constructor to create the model even if it is invalid |
A Model Object that can be further queried
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. 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=0:500
Ex=RothCModel(t)
Ct=getC(Ex)
Rt=getReleaseFlux(Ex)
matplot(t,Ct,type="l",col=1:5, ylim=c(0,25),
ylab=expression(paste("Carbon stores (Mg C ", ha^-1,")")),
xlab="Time (years)", lty=1)
lines(t,rowSums(Ct),lwd=2)
legend("topleft",
c("Pool 1, DPM",
"Pool 2, RPM",
"Pool 3, BIO",
"Pool 4, HUM",
"Pool 5, IOM",
"Total Carbon"),
lty=1,
lwd=c(rep(1,5),2),
col=c(1:5,1),
bty="n"
)