salmon.rate {UsingR}R 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

R_t = S_t e^{a - bS_t}

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))

[Package UsingR version 2.0-7 Index]