Gaussian.competition.kernel: Gaussian competition kernel

In comsimitv: Flexible Framework for Simulating Community Assembly

Description

It calculates pairwise competition coefficients as overlap of Gaussian resource utilization curve

Usage

Gaussian.competition.kernel(
  trait.values,
  trait.compet = "trait.b",
  sigma.b = 0.03,
  ...
)

Arguments

trait.values	Dataframe of all traits
trait.compet	Name of trait related to resource use
sigma.b	Width of Gaussian kernel
...	Any additional parameters

Details

It assumes that each species has Gaussian resource utilization curve:

exp([(x-trait.value)^2]/(sigma.b/2))

where: x = quality of resource (e.g. seed size or rooting depth

Optima of curves depend on trait value related to resource use, while standard deviation is the same for all species (note that for technical reason parameter sigma.b is twice of the common sqared s.d.). Pairwise competition coefficients are calculated as overlap of resource utilization functions (MacArthur & Levins 1967).See details in vignette("competition")

References

MacArthur R, Levins R (1967) The Limiting Similarity, Convergence, and Divergence of Coexisting Species. The American Naturalist 101: 377-385. doi: 10.1086/282505

See Also

competition.kernel

comsimitv documentation built on July 17, 2021, 5:07 p.m.