Of the alternatives tested alternative 1 where M=0.15 gave the best fit to data but alternative 3 the worst. The difference was though not great and growth curves and selection pattern were similar for all the cases.
Figures 4.1 shows the estimated recruitment for alternatives 1 and 2. As expected higher values are seen for alternative 1 where M is higher. Recruitment estimates for the youngest age group neet to be investigated further. Allowing non linear relationship between survey indices and number in stock might be nessecary.
Figure 4.2 shows the estimated growth using M=0.1 and figure 4.3 the estimated selection patterns for the same alternative. In figure 4.2 one standard deviation from the mean is also shown. The figures indicate that at age 10 50% of the fishes have recruited to the fishery.
Figure 4.4 shows yield per recruit for the 3 alternatives. Alternative 3 (M = 0.07) has the highest yield per recruit and lowest values of F0.1 and Fmax. The values of F0.1 are 0.23, 0.2 and 0.184 and the values of Fmax are 0.43, 0.32 and 0.28.
Figures 4.5, 4.6 and 4.6 show the developent of the catch, catchable, catchable biomass and fishing mortality of age 15 wolffish using F0.1 after 1999. The recruitment after 1998 is the mean of last 6 years. Age 15 is used to get fishes that are fully recruited to the catch.
Figures 4.8, 4.9 and 4.10 show development of catch, catchable stock and fishing mortality, of age 15 wolffish using M = 0.1 and 5 different values of F after 1998. It appears from these figures that F = 0.25 will not affect the stock seriously but values of F exceeding 0.25 can not be recommended. F=0.25 leads to a catch of 14,000 tonnes next year which is the same catch as F0.1 gives according to alternative 1 (M=0.15).
A reasonable catch control seems to be to use F0.1 and base the
assessment on alternative 1 (M = 0.15). This leads to catches which
are above F0.1 for alternative 2 but still lead to increase of
catchable biomass.