View source: R/flora_dynamics.R
floraDynamics | R Documentation |
Models plant growth from field data in a series of models, selecting the best model and providing error statistics.
floraDynamics(
dat,
thres = 5,
pnts = 10,
p = 0.01,
bTest = 2,
cTest = 10,
maxiter = 1000,
Sr = 0,
Sk = 0,
Sa = 0,
Sb = 0,
Sc = 0,
NSr = 0,
NSk = 0,
NSa = 0,
NSb = 0,
NSc = 0
)
dat |
The dataframe containing the input data, |
thres |
The minimum percent cover (0-100) of a Species that will be analysed |
pnts |
The number of points measured in a transect |
p |
The maximum allowable p value for a model |
bTest |
|
cTest |
|
maxiter |
The maximum number of iterations for model fitting |
Sr |
Rate of increase for surface litter in a negative exponential curve |
Sk |
Asymptote for surface litter in a negative exponential curve |
Sa |
|
Sb |
|
Sc |
|
NSr |
Rate of increase for NS fuels in a negative exponential curve |
NSk |
Asymptote for NS fuels in a negative exponential curve |
NSa |
|
NSb |
|
NSc |
Input table requires the following fields: Point - numbered point in a transect Species - name of the surveyed Species Age - age of the site since the triggering disturbance
Species that are less common than the set threshold are combined as "Minor Species"
dataframe
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