Historically, a time-series of proportions-at-age 1 from annual November hydro-acoustic surveys has been used to inform the assessment of, and in particular the choice of appropriate values for juvenile and adult natural mortality for, the South African anchovy Engraulis encrasicolus. However, information from direct ageing is limited and almost two decades old. A new method is developed to estimate the annual proportions of anchovy at age 1 directly from the population length distributions estimated from samples taken during the November surveys. This method involves modelling the annual length distributions of age 1 and age 2+ anchovy. The analysis provides a new time-series of proportions-at-age 1, together with associated standard errors, for input into assessments of the resource. The results also caution against the danger of scientists reading more information into data than is really there.
Reference:
de Moor, C. L., Butterworth, D. S., & Coetzee, J. C. (2013). Can anchovy age structure be estimated from length distribution data collected during surveys?. African Journal of Marine Science, 35(3), 335-342.
De Moor, C. L., Butterworth, D. S., & Coetzee, J. C. (2013). Can anchovy age structure be estimated from length distribution data collected during surveys?. African Journal of Marine Science, http://hdl.handle.net/11427/17745
De Moor, Carryn L, Doug S Butterworth, and J C Coetzee "Can anchovy age structure be estimated from length distribution data collected during surveys?." African Journal of Marine Science (2013) http://hdl.handle.net/11427/17745
De Moor CL, Butterworth DS, Coetzee JC. Can anchovy age structure be estimated from length distribution data collected during surveys?. African Journal of Marine Science. 2013; http://hdl.handle.net/11427/17745.