metacommunity | R Documentation |
Create a metacommunity
metacommunity(
nsp = 2,
nr = 1,
niches = niches_uniform,
dispersal = dispersal_custom,
sp_names = paste0("sp", 1:nsp),
r_names = paste0("r", 1:nr),
niche_args = list(),
dispersal_args = list(),
comp_scale = 0.001
)
niches |
The niche scenario to use. |
dispersal |
The dispersal scenario to use |
sp_names |
A vector of species names |
r_names |
A vector of resource names |
niche_args |
A list of named arguments to be passed to the niche function |
dispersal_args |
A list of named arguments to be passed to the dispersal function |
comp_scale |
Scale for the strength of competition, see 'details'. |
The metacommunity describes the possible biological space for a flume
model. It
consists of a few named elements:
species
: a list of species()
objects, describing the niche and dispersal parameters
for each possible species
competition
: A square species interaction matrix describing the effect of each species
on each other species; generated using the overlap between species'
fundamental niches.
boundary
: A function that returns a site by species matrix giving the colonisation flux
from outside the river network; by default returns zero for all sites/species.
The comp_scale
is treated as a multiplier, changing the value of the competition matrix.
By default the comp_scale
parameter is 0.001. This parameter must be:
a single value, interpreted as the overall strength of competition in the metacommunity,
a vector of length nsp
, interpreted as the competitive strength of each species, or
a matrix with nsp
rows and nsp
columns, if asymmetric competition or fine control over
the strength of each interaction is desired. For asymmetric competition, changing the value of
comp_scale[i,j]
will change the effect of species i
on species j
, but not the other way
around.
Each species' fundamental niche is defined as the difference between a Gaussian colonisation
function and a constant extinction function; a species will be present when c - e > 0.
Niches can be automatically generated (see generate_niches()
; alternatively, to specify
the parameters manually, the following can be specified.
A metacommunity object
# defaults
mc = metacommunity()
# multiple species
mc = metacommunity(nsp = 5)
# multiple resources
nlim = list( location = matrix(c(1, 2, 1, 3, 2, 4), ncol = 2)) # we need to specify the limits manually
mc = metacommunity(nsp = 3, nr=2, niches = niches_custom, niche_args = nlim)
# multiple species and resources with variance covariance matrices
loc = matrix(c(1, 2, 1, 3, 2, 4), ncol = 2) # 3 species, 2 resources
br_sp1 = matrix(c(1, 0.2, 0.2, 1), ncol = 2) # vcv matrix for one species
breadth = list(br_sp1, br_sp1, br_sp1) # assume the same matrix for all species
nopts = list(location = matrix(c(1, 2, 1, 3, 2, 4), ncol = 2), breadth = breadth, scale_c = c(0.5, 0.5, 0.55))
# location of the species along the resource space
# breadth defines the resouce utilisation
# scale competition
mc = metacommunity(nsp = 3, nr = 2, niches = niches_custom, niche_args = nopts)
plot(mc)
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