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132            S.  Ragonese, M.L.  Bianchini l Fisheries Research 26 ( 1996) 125-137


                   T ab le 3
                   List of the parameters used for the computation of the yield-per-recruit values for Aristeus anrennatus

                    Parameters
                                         Comments
                    CL         m m       69.1         Asymptotic length derived from modallength analysis
                    K          y-1        0.532       Brody' s coeffìcient
                    lo         y          o           VBGF location parameter ( the li ne passes through the ori gin)
                    t,         y                      Mean age at fìrst capture
                    t,  *      y          1.5         Assumed new age at fìrst capture
                    z          y- l       1.1         Total mortality rate according t o Heincke' s method
                    M,         y- l       0.5         Natura! mortality rate from literature
                    M"         y- l       0.8         Natura! mortality rate according to Alagaraya's approximation
                               y-1
                    F  l                  0.6         Fishing mortality according to Z- M,
                    F,         y-1        0.3         Fishing mortality according to Z- M"
                               y          6           Theoretical !ife span
                    flll<IX
                    t,         y          4           Maximum age of actual contribution to the fishery
                    W.         g         66           Asymptotic weight according to the estimated VBGF and the
                                                      length-weight relationship from literature


                   ing  to combined data are summarized in Table  l). 'Fast' estimates fit  slightly better than
                   'slow' estimates with the exception of the skewness in  the Brody's coefficient. It is  worth
                   noting that despite the large range of the combined data, the estimates can be considered
                   qui te  satisfactory,  given  the  resulting  standard  errors  and  the  in de x  of skewness  ('fast'
                   standard errors:  0.52  for  CLx and  0.007  for  K;  'slow'  standard errors:  0.56 for  CL.c  and
                   0.030 for K). As expected, a strong (negative) correlation exists between the two growth
                   parameters when data are considered together (? = 0.856).
                     The MIX program leads to  the identification of a minimum of two  ( spring and  winter
                   surveys) an d a maximum of four ( summer survey) well discriminated moda! groups, which
                   should  reftect different annua!  cohorts,  because of the discrete recruitment observed; the
                   rcsults  of the  MIX analysis  ( number of groups,  proportions,  moda!  length and  standard
                   error,  comparison  test)  are  summarized  in  Table  2.  Significant  differences  (P< 0.05)
                   between estimated and observed LFD were never detected.
                     Table 2 al so reports the results of the MPA procedure ( proportions an d modallength);
                   both methods produce practically the same results.
                     The MIX estimated modallengths range from 29.3 m m to 62.9 mm CL ( summer survey),
                   and generally the standard errors appear to be qui  te satisfactory, notwithstanding the limited
                   sample sizes. An absolute age of l year from hatching was assigned to the youngest moda!
                   group (29.3 mm CL), according to  the hypothesis that the recruits derive from the spawn
                   of the previous summer ( Azouz,  1972).
                     The 'integration' of the modallengths (Fig. 4) suggests an asymptotic pattern of growth.
                   A preliminary fitting of the data revealed that the parameter t 0  was not significantly different
                   from zero an d consequently data w ere refitted with two parameters only. Both Quasi-Newton
                   and  Simplex  algorithms converge quickly on  the  estimates  CLx = 69.1  mm  (SE= 2.32)
                   and  K=0.532  (SE=0.028), independently from the initial seeds values,  'fast'  or 'slow',
                   used.
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