scape (version 1.0-8)

x.ling: Ling Assessment

Description

Stock assessment data and model fit for ling (Genypterus blacodes) in New Zealand waters, using a Coleraine statistical catch-at-age model. This is a two-sex model with 30 age classes and 29 length classes, the catch data starting in 1973 and ending in 2000. The model was fitted to five data components: longline abundance index, survey abundance index, survey catch at age, longline catch at length, and trawl catch at length.

Usage

x.ling

format

List of class scape containing: ll{ 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 CPUE commercial abundance index and fit Survey survey abundance index and fit CAs survey C@A (catch at age) and fit CLc commercial C@L (catch at length) and fit }

source

Annala, J.H., K.J. Sullivan, C.J. O'Brien, and N.W.M. Smith. (eds.) 2001. Report from the Fishery Assessment Plenary: Stock assessments and yield estimates. Wellington: NIWA. Available from NIWA library, Wellington.

Details

Estimated parameters: R0, Rinit, Sleft[trawl], Sfemale[t], Smale[t], Sright[t], Sleft[longline], Sfemale[l], Smale[l], Sright[l], Sleft[survey], Sfemale[s], Smale[s], Sright[s], q[l], q[s], and 29 recruitment deviates.

References

Hilborn, R., M. Maunder, A. Parma, B. Ernst, J. Payne, and P. Starr. 2003. Coleraine: A generalized age-structured stock assessment model. User's manual version 2.0. University of Washington Report SAFS-UW-0116. Available at http://fish.washington.edu/research/coleraine/coleraine.pdf. Magnusson, A. 2001. SeaFIC assessment of Chatham Rise ling (LIN 3 and 4). Middle Depths Working Group Doc. 11. Report for the New Zealand Ministry of Fisheries. Available from the author.

See Also

importCol, x.cod, x.oreo, x.sbw. scape-package gives an overview of the package.

Examples

plotB(x.ling)
plotCA(x.ling, "s")
plotCL(x.ling, "c", series="1")
plotCL(x.ling, "c", series="2")
plotIndex(x.ling, "c")
plotIndex(x.ling, "s")
plotN(x.ling)
plotSel(x.ling)