L50

Length at 50% maturity. For each simulation a single value is drawn from a uniform distribution specified by the upper and lower bounds provided. The L50 and L50_95 parameters are converted to ages using the growth parameters provided and used to construct a logistic curve to determine the proportion of the population that is mature in each age class. Uniform distribution lower and upper bounds. Positive real numbers.

L50_95

Difference in lengths between 50% and 95% maturity. For each simulation a single value is drawn from a uniform distribution specified by the upper and lower bounds provided. The value drawn is then added to the length at 50% maturity to determine the length at 95% maturity. This parameterization is used instead of specifying the size at 95 percent maturity to avoid situations where the value drawn for the size at 95% maturity is smaller than that at 50% maturity. The L50 and L50_95 parameters are converted to ages using the growth parameters provided and used to construct a logistic curve to determine the proportion of the population that is mature in each age class. Uniform distribution lower and upper bounds. Positive real numbers.

Custom Parameters

See Custom Stock Parameters for information on specifying time-varying maturity.

Interactive App

Choose upper and lower bounds for L_50 and L50_95. Based on these ranges, the MSEtool will display parameter values for 5 simulations in the table. Click on any line of the table to view the distribution of values for that simulation in the figures below.

• Figure 1 shows a logistic maturity function based on the size at 50% and 95% maturity values drawn in each simulation