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Takes the density-independent rates \(R_{di}\) of egg production (as calculated by getRDI()) and returns reduced, density-dependent reproduction rates \(R_{dd}\) given as $$R_{dd} = R_{di} \frac{R_{max}}{R_{di} + R_{max}}$$ where \(R_{max}\) are the maximum possible reproduction rates that must be specified in a column in the species parameter dataframe. (All quantities in the above equation are species-specific but we dropped the species index for simplicity.)


BevertonHoltRDD(rdi, species_params, ...)



Vector of density-independent reproduction rates \(R_{di}\) for all species.


A species parameter dataframe. Must contain a column R_max holding the maximum reproduction rate \(R_{max}\) for each species.




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. Three other examples provided are RickerRDD(), SheperdRDD(), noRDD() and constantRDD(). For more explanation see setReproduction().

See also

Other functions calculating density-dependent reproduction rate: RickerRDD(), SheperdRDD(), constantEggRDI(), constantRDD(), noRDD()