SeriesLinearModel14: General m-pool linear C14 model with series structure

In SoilR: Models of Soil Organic Matter Decomposition

General m-pool linear C14 model with series structure

Description

This function creates a radiocarbon model for m number of pools connected in series. It is a wrapper for the more general function GeneralModel_14.

Usage

SeriesLinearModel14(
  t,
  m.pools,
  ki,
  Tij,
  C0,
  F0_Delta14C,
  In,
  xi = 1,
  inputFc,
  lambda = -0.0001209681,
  lag = 0,
  solver = deSolve.lsoda.wrapper,
  pass = FALSE
)

Arguments

t	A vector containing the points in time where the solution is sought.
m.pools	An integer with the total number of pools in the model.
ki	A vector of length m containing the values of the decomposition rates for each pool i.
Tij	A vector of length m-1 with the transfer coefficients from pool j to pool i. The value of these coefficients must be in the range [0, 1].
C0	A vector of length m containing the initial amount of carbon for the m pools.
F0_Delta14C	A vector of length m containing the initial amount of the radiocarbon fraction for the m pools.
In	A scalar or data.frame object specifying the amount of litter inputs by time.
xi	A scalar or data.frame object specifying the external (environmental and/or edaphic) effects on decomposition rates.
inputFc	A Data Frame object containing values of atmospheric Delta14C per time. First column must be time values, second column must be Delta14C values in per mil.
lambda	Radioactive decay constant. By default lambda=-0.0001209681 y^-1 . This has the side effect that all your time related data are treated as if the time unit was year.
lag	A positive scalar representing a time lag for radiocarbon to enter the system.
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

Sierra, C.A., M. Mueller, S.E. Trumbore. 2014. Modeling radiocarbon dynamics in soils: SoilR version 1.1. Geoscientific Model Development 7, 1919-1931.

See Also

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

Examples

years=seq(1901,2009,by=0.5)
LitterInput=700 

Ex=SeriesLinearModel14(
t=years,ki=c(k1=1/2.8, k2=1/35, k3=1/100), m.pools=3,
C0=c(200,5000,500), F0_Delta14C=c(0,0,0),
In=LitterInput, Tij=c(0.5, 0.1),inputFc=C14Atm_NH
)
R14m=getF14R(Ex)
C14m=getF14C(Ex)
C14t=getF14(Ex)

par(mfrow=c(2,1))
plot(C14Atm_NH,type="l",xlab="Year",
ylab="Delta 14C (per mil)",xlim=c(1940,2010)) 
lines(years, C14t[,1], col=4)
lines(years, C14t[,2],col=4,lwd=2)
lines(years, C14t[,3],col=4,lwd=3)
legend(
"topright",
c("Delta 14C Atmosphere", "Delta 14C pool 1", "Delta 14C pool 2", "Delta 14C pool 3"),
lty=rep(1,4),col=c(1,4,4,4),lwd=c(1,1,2,3),bty="n")

plot(C14Atm_NH,type="l",xlab="Year",ylab="Delta 14C (per mil)",xlim=c(1940,2010)) 
lines(years,C14m,col=4)
lines(years,R14m,col=2)
legend("topright",c("Delta 14C Atmosphere","Delta 14C SOM", "Delta 14C Respired"),
lty=c(1,1,1), col=c(1,4,2),bty="n")
par(mfrow=c(1,1))

SoilR documentation built on Oct. 13, 2023, 5:06 p.m.