dave (version 2.0)

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

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)
# S3 method for default
SNPtm(trange, tsl, x6, r6,...)
# S3 method for 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

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

# NOT RUN {
o.SNPtm<- SNPtm(trange=400,tsl=1.0,x6=NULL,r6=NULL)
plot(o.SNPtm)
# }