salmon.rate: Simulated Data on Rate of Recruitment for Salmon

salmon.rateR Documentation

Simulated Data on Rate of Recruitment for Salmon

Description

The Ricker model is used to model the relationship of recruitment of a salmon species versus the number of spawners. The model has two parameters, a rate of growth at small numbers and a decay rate at large numbers. This data set is simulated data for 83 different recordings using parameters found in a paper by Chen and Holtby.

Usage

data(salmon.rate)

Format

The format is: 83 numbers on decay rates.

Details

The Ricker model for recruitment modeled by spawner count

S exp(a-bS)

The paramter b is a decay rate for large values of S. In the paper by Chen and Holtby, they studied 83 datasets and found that b is log-normally distributed. The data is simulated from their values to illustrate a log normal distribution.

Source

These values are from D.G. Chen and L. Blair Holtby, “A regional meta-model for stock recruitment analysis using an empirical Bayesian approach”, found at https://iphc.int/.

Examples

data(salmon.rate)
hist(log(salmon.rate))

UsingR documentation built on March 18, 2022, 7:32 p.m.