dave (version 2.0)

SNPsm: The spatial and temporal model of succession in the Swiss National Park

Description

A dynamic model of succession on alp Stabelchod in the Swiss Nationl Park using differential equations and numerial integration. 6 species guilds are considered. Space is conceived as a grid of 30 times 40 cells. Typical simulation time is around 500yr.

Usage

SNPsm(trange,tsl,diff,r6,...)
SNPsm2(trange=100,tsl=5.0,diff=0.001,r6=NULL)
# S3 method for default
SNPsm(trange, tsl, diff, r6, ...)
# S3 method for SNPsm
plot(x, ...,out.seq=1,col=FALSE)

Arguments

trange

Time range of simulation in yr

tsl

Time range of simulation in yr

out.seq

Time interval (yr) at which maps of the state are printed

diff

A diffusion coefficient driving random spatial propagation

r6

Growth rates of 6 guilds involved, increase in cover percentage per yr

…

Parameter out.seq, the plotting interval

x

An object of class "SNPsm"

col

A logical variable to suppress color printing

Value

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

n.time.steps

Number of time steps used for numerical integration

imax

Vertical grid count

jmax

Horizontal grid count

time.step.length

The time step length in yr

veg.types

The names of the vegetation types, i.e., the species

vegdef

A nspecies x nspecies matrix defining composition of vegetation types

growth.rates

The growth rates given upon input

sim.data

Simulated scores of all species (guilds) during simulation time

tmap

The 30 x 40 grid map of types used as initial condition

igmap

The same as tmap

frame

A 30 x 40 grid showing initial forest edges, used for printing

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 {
r6=NULL           # imposes default growth rates
o.stSNP<- SNPsm(trange=100,tsl=10.0,diff=0.001,r6)
plot(o.stSNP,out.seq=50)
# }