simannuliR: Individual-based model to simulate mean length at annulus for...

In drstewart11/AgeGrowthSimModels: Age and Growth Simulation Models

Individual-based model to simulate mean length at annulus for the ith fish of age a

Description

Simulates data to estimate back-calculated lengths of age a for the ith fish

Usage

simannuliR(ages, Linf.mu, Linf.cv, k.mu, k.cv, t0.mu, t0.cv, seed)

Arguments

ages	= ages simulated from simageData function
Linf.mu	= Linf mean
Linf.cv	= CV of Linf
k.mu	= k mean
k.cv	= CV of k
t0.mu	= t0 mean
t0.cv	= CV of t0
seed	= seed

Value

Simulated length data

References

Cardinale, M., and F. Arrhenius. 2001. Is the decrease in growth rate of Atlantic Herring in the Baltic Sea Density-Dependent? A Geostatistical application. Herring: Expectations for aNew Millenium. Alaska Sea Grant College Program AK-SG-01-04:153-197. Kurbanov, A.R., and B. Kamilov. 2015. Age and growth of bighead carp (Hypophthalmichthys nobilis R.) in Tudakul reservoir, Uzbekistan. Turkish Journal of Fisheries and Aquatic Sciences 3:229-232. Michaletz, P.H., D.M. Nicks, and E.W. Buckner Jr. 2009. Accuracy and precision of estimates of back-calculated channel catfish lengths and growth increments using pectoral spines and otoliths. North American Journal of Fisheries Management 29:1664-1675. Munro, A.R. 2004. Identifciation of life history variation in salmonids using otolith microchemistry and scale patterns: implications for illegal introductions and for whirling diesease in Missouri River Rainbow Trout. Dissertation. Montana State University. pp219. Zalachowski, W., and K. Wieski. 1998. Growth rate of Bream in Lake Dabie. Journal of Polish Agricultural Universities: http://www.ejpau.media.pl/volume1/issue1/fisheries/art-03.html

drstewart11/AgeGrowthSimModels documentation built on Jan. 17, 2024, 7:12 p.m.