PROSPER (version 0.3.3)

pop_germc: Germination

Description

pop_germc describes germination as random event for individual seeds. The function considers different cohorts and dormancy.

Usage

pop_germc(init_sb, germ, max_vec_length = 1e+07)

Arguments

init_sb

column name of the initial seed bank in the data.frame dfgenotype that is delivered by struc_preparation. character.

germ

germination probabilities for the different cohorts. See details.

max_vec_length

used internally, a technical term, defining the maximum length of vectors to be used.

Value

Columns are added to dfgenotype: "germ_dorm" contains the numbers of each genotype that remain dormant, "germ1" to "germX" contain the numbers for each of X cohorts.

Details

Each individual has a chance to germinate or to stay dormant. In case of germination, it emerges in one of the cohorts. The distribution of individual seeds to cohorts or dormancy is random. The function uses the columns init_SB of the data.frame dfgenotype as input. The output values are the numbers of seedlings of each genotype and each cohort.

germ must be given as a numeric vector or - in case of multiple columns in init_sb - data.frame or matrix. In that case the row number must fit to the length of init_sb. If the columns in init_sb represent cohorts, the rows of germ give the germination probabilities for these specific cohorts. The sum of one row of germ shall be \(\ge 0\) and \(\le 1\). The difference of 1 and the sum of on row germ is the probability of dormancy.

See Also

pop_reprod pop_step quanti

Examples

# NOT RUN {
struc_preparation2(Rmx=10, af=c(0.01,0.8), epis=0, dom=1)
ls()
gen_freq( af=c(0.01,0.8), n_seeds=10000)
#Distribute the individuals to three cohorts with the germination 
#probabilities 0.2, 0.4 and 0.4.
pop_germc( init_sb="initialSB", germ=c(0.2,0.4,0.4))
rm(mf, dfgenotype, xprobab) 
# }