calc_Smsy_Ricker

calc_Umsy_Ricker

calc_Sgen_Ricker

Compute reference points (Umsy, Smsy, and Sgen) from Ricker stock-recruit function
based on Scheuerell (2016).

Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and
habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across
early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of
hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models
fitted to data.

Quang Huynh

salmonMSE

Management Strategy Evaluation for Salmon Species

calc_Smsy_Ricker function

<dl><dt>loga</dt>
<dd>Numeric, alpha parameter (returns per spawner) in the Ricker function: \(R=S\exp(\log(a)-bS)\)
where <code>S</code> is the number of spawners and <code>R</code> is the return</dd>
<dt>b</dt>
<dd>Numeric, beta parameter</dd></dl>

Arguments

Ricker reference points — calc_Smsy_Ricker

<dl>

<dt>loga</dt>
<dd>Numeric, alpha parameter (returns per spawner) in the Ricker function: \(R=S\exp(\log(a)-bS)\)
where <code>S</code> is the number of spawners and <code>R</code> is the return</dd>


<dt>b</dt>
<dd>Numeric, beta parameter</dd>

</dl>

calc_Smsy_Ricker: Ricker reference points

Description

Usage

Value

Arguments

References

See Also