SNPtm {dave} | R Documentation |
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.
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,...)
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 |
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 |
Otto Wildi
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.
o.SNPtm<- SNPtm(trange=400,tsl=1.0,x6=NULL,r6=NULL)
plot(o.SNPtm)