parameters: Parameters of 4 virtual taxa.

In virtualPollen: Simulating Pollen Curves from Virtual Taxa with Different Life and Niche Traits

Parameters of 4 virtual taxa.

Description

A dataframe with the parameters of 4 virtual taxa. This dataset was generated by parametersDataframe and fixParametersTypes. It is meant to be used as input for simulatePopulation. Its columns are:

Usage

data(parameters)

Format

Dataframe with 16 columns and 4 rows.

Details

• label: to store names (character string) of the virtual taxa.

• maximum.age: integer, maximum possible age of the individuals in years.

• reproductive.age: integer, age of sexual maturity in years.

• fecundity: integer, number of maximum viable seeds produced by a mature individual under fully suitable conditions.

• growth.rate: numeric, parameter of the logistic growth function.

• pollen.control: numeric in the interval [0, 1]. If 0, pollen productivity depends on environmental suitability only. The larger the number, biomass takes over environmental suitability in determining pollen productivity.

• maximum.biomass: integer, maximum biomass of the individuals.

• carrying.capacity: integer, maximum sum of biomass of the individuals. Very large carrying capacities plus a low maximum.biomass generates too many individuals for the simulation to remain efficient. Try to set carrying.capacity and maximum.biomass to carrying.capacity divided by biomass returns a number lower than 1000 (and even better if it is closer to 100).

• driver.A.weight: numeric in the interval [0, 1], represents the relative influence of the driver on environmental suitability.

• driver.B.weight: numeric in the interval [0, 1], represents the relative influence of the driver on environmental suitability. The sum of weights of drivers A and B should be 1.

• niche.A.mean: numeric, in the same units as driver A. It is the mean of the normal function defining the response of the virtual taxa to driver A.

• niche.A.sd: numeric, in the same units as driver A. It is the standard deviation of the normal function defining the response of the virtual taxa to driver A.

• niche.B.mean: as above, but for driver B.

• niche.B.sd: as above, but for driver B.

• autocorrelation.length.A: numeric, only useful if several drivers generated with different autocorrelation lengths are available (and identified by the column autocorrelation.length) in the drivers argument provided to the simulatePopulation function.

• autocorrelation.length.B: same as above.

Author(s)

Blas M. Benito <[e-mail]>

See Also

parametersCheck, parametersDataframe, simulatePopulation

virtualPollen documentation built on March 18, 2022, 6:16 p.m.