SNPtm: The temporal model of succession in the Swiss National Park

In dave: Functions for "Data Analysis in Vegetation Ecology"

Description

A dynamic model of succession in the Swiss Nationl Park using differential equations and numerial integration. 6 species guilds are considered. Typical simulation time is around 500yr.

Usage

SNPtm(trange, tsl, x6, r6,...)
SNPtm2(trange, tsl, x6, r6)

## Default S3 method:
SNPtm(trange, tsl, x6, r6,...)
## S3 method for class 'SNPtm'
plot(x,...)

Arguments

trange	Time range of simulation in yr
tsl	Time step length used for integration (no. of yr)
x6	Initial conditions of 6 guilds involved, cover percentage
r6	Growth rates of 6 guilds involved, increase in cover percentage per yr
x	An object of class "SNPtm"
...	Parameter out.seq, the plotting interval

Value

An object of class "SNPtm" with at least the following items:

n.time.steps	Time step range covered by the model
time.step.length	Time step length used for integration, no. of yr
time vector	All time steps described by the results
veg.types	The names of the vegetation types, i.e., the species
growth.rates	The growth rates given upon input
initial.cond	Initial conditions of 6 guilds involved, cover percentage
sim.data	Simulated scores of all species (guilds) during simulation time

Author(s)

Otto Wildi

References

Wildi, O. 2002. Modeling succession from pasture to forest in time and space. Community Ecology 3: 181–189.

Wildi, O. 2017. Data Analysis in Vegetation Ecology. 3rd ed. CABI, Oxfordshire, Boston.

Examples

o.SNPtm<- SNPtm(trange=400,tsl=1.0,x6=NULL,r6=NULL)
plot(o.SNPtm)

dave documentation built on May 2, 2019, 1:30 p.m.