Takes the density-independent rates \(R_p\) of egg production and returns reduced, density-dependent reproduction rates \(R\) given as $$R = R_p \frac{R_{max}}{R_p + R_{max}}$$ where \(R_{max}\) are the maximum possible reproduction rates that must be specified in a column in the species parameter dataframe.
BevertonHoltRDD(rdi, species_params, ...)Vector of density-independent reproduction rates \(R_p\) for all species.
A species parameter dataframe. Must contain a column R_max holding the maximum reproduction rate \(R_{max}\) for each species.
Unused
Vector of density-dependent reproduction rates.
This is only one example of a density-dependence. You can write your own
function based on this example, returning different density-dependent
reproduction rates. Two other examples provided are RickerRDD()
and SheperdRDD(). For more explanation see
setReproduction().
Other functions calculating density-dependent reproduction rate:
RickerRDD(),
SheperdRDD(),
constantRDD(),
noRDD()