RandCom: Toy model to simulate internal and/or external filtering

In cati: Community Assembly by Traits: Individuals and Beyond

Toy model to simulate internal and/or external filtering

Description

Toy model to simulate internal and/or external filtering

Usage

	RandCom(Ncom = 10, Nsp = 20, Nind.com = 100, sdlog = 1.5, 
	min_value_traits = 80, max_value_traits = 200, 
	cv_intra_sp = 1.5, cv_intra_com = 1.5, 
	Int_Filter_Strength = 50, Ext_Filter_Strength = 50, Filter="None")

Arguments

Ncom	Number of communities (or sites).
Nsp	Number of species at the regional scale.
Nind.com	Number of individuals by communities.
sdlog	Parameter of the log normal distribution for species abundances distribution within communities.
min_value_traits	Minimum mean value for traits distributions.
max_value_traits	Maximum mean value for traits distributions.
cv_intra_sp	Coefficient of variation for intra-specific distributions. The more the value is high the less there is internal filtering. Used only for the trait 1 (normally distributed).
cv_intra_com	Coefficient of variation for intra-community distributions. The more the value is high the less there is external filtering. Used only for the trait 1 (normally distributed)
Int_Filter_Strength	Strength of internal filtering in percentage. Use in addition to cv_intra_sp by distributing mean species trait more or less evenly. In the most extreme case (if Int_Filter_Strength==100), species have equally distributed mean values along the trait gradient.
Ext_Filter_Strength	Strength of external filtering in percentage. Use in addition to cv_intra_com by distributing mean communities trait more or less evenly. In the most extreme case (if Ext_Filter_Strength==100), communities have equally distributed mean values along the trait gradient.
Filter	The type of filter to simulate. Either "None", "Internal", "External" or "Both"

Details

In this version of the function, the trait 1 follows a normal distribution wheras the trait 2 follows a uniform distribution.

Value

$data$com	Vector of simulated communities for each individual.
$data$sp	Vector of simulated species for each individual.
$data$trait1	Vector of simulated value for the trait 1: normally distributed.
$data$trait2	Vector of simulated value for the trait 2: normally distributed.
$call	call of the function Tstats

Author(s)

Cecile Albert and Adrien Taudiere

Examples

	
	res <- RandCom()

cati documentation built on March 18, 2022, 5:43 p.m.