SoilR (version 1.2.107)

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,
  FYM = 0,
  DR = 1.44,
  clay = 23.4,
  xi = 1,
  solver = deSolve.lsoda.wrapper,
  pass = FALSE
)

Value

A Model Object that can be further queried

Arguments

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 euler or deSolve.lsoda.wrapper or any other user provided function with the same interface.

pass

if TRUE forces the constructor to create the model even if it is invalid

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. 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

There are other predefinedModels and also more general functions like Model.

Examples

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"
)