scape (version 2.3-2)

x.sbw: Whiting Assessment

Description

Stock assessment data and model fit for southern blue whiting (Micromesistius australis) in New Zealand waters, using a Coleraine statistical catch-at-age model.

This is a single-sex model with 11 age classes, the catch data starting in 1979 and ending in 2002. The model was fitted to two data components: survey abundance index and commercial catch at age.

Usage

x.sbw

Arguments

Format

List of class scape containing:

N predicted numbers at age
B predicted biomass, recruitment, and observed landings (year things)
Sel predicted selectivity and observed maturity (age things)
Dev predicted recruitment deviates from the stock-recruitment curve
Survey survey abundance index and fit
CAc commercial C@A (catch at age) and fit

Details

Hilborn et al. (2003) give a general description of the Coleraine generalized model.

The survey abundance index was preprocessed so that it contains only age 4 and older.

Estimated parameters: R0, Rinit, Rplus, Sleft[commercial], Sfull[c], q, and 33 recruitment deviates.

References

Branch, T. A., Magnusson, A., Hilborn, R., and Starr, P. J. (2002) Stock assessment of the Campbell Island Rise population of southern blue whiting (Micromesistius australis) for the 2000--01 fishing season. University of Washington Report SAFS-UW-0107.

Hilborn, R., Maunder, M., Parma, A., Ernst, B., Payne, J., and Starr, P. (2003) Coleraine: A generalized age-structured stock assessment model. User's manual version 2.0. University of Washington Report SAFS-UW-0116.

Magnusson, A. and Hilborn, R. 2004. What is it in fisheries data that tells us about population abundance? Poster presented at the 4th World Fisheries Congress, Vancouver, BC.

See Also

importCol was used to import the fitted model.

x.cod, x.ling, x.oreo, x.saithe, and x.sbw are fitted scape models to explore.

scape-package gives an overview of the package.

Examples

Run this code
# NOT RUN {
plotB(x.sbw)
plotCA(x.sbw, "c")
plotIndex(x.sbw, "s")
plotN(x.sbw)
plotSel(x.sbw)
# }

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