228 
Fishery Bulletin 1 10(2) 
o 
0 
N 
in 
tt> 
3 
CD 
l3 
0 5 10 15 20 25 300 5 10 15 20 25 300 5 10 15 20 25 30 
Age (years) 
Figure 3 
Variation in variables related to reproduction that result from differences in energy 
allocation (A-L). Thick, thin, and broken lines correspond to the instantaneous 
reproductive energy df/dt, cumulative energy investment fit), and the energy alloca- 
tion function pit), respectively. The numerical values in parentheses correspond to 
the combination of parameters i>(=0.4, 0.6, 0.8, 1.0) and a( = l, 3, 100) employed in 
pit). The parameters used for all cases include the following: /3= 1.0, c = 1.0, /f=0.15, 
Z„=1.0, t 0 =0 , and t m = 5. 
Literature cited 
Akaike, H. 
1973. Information theory and an extension of the 
maximum likelihood principle. In 2nd international 
symposium on information theory (B. N. Petrov, 
and F. Csaki, eds.), p. 267-281. Akademiai Kiado, 
Budapest. 
Aids, J., M. Palmer, A. Alonso-Fernandez, and B. Morales-Nin. 
2010. Individual variability and sex-related differ- 
ences in the growth of Diplodus annularis (Linnaeus, 
1758). Fish. Res. 101:60-69. 
Araya, M., and L. A. Cubillos. 
2006. Evidence of two-phase growth in el as mo - 
branchs. Environ. Biol. Fish. 77: 293-300. 
Beverton, R. J. H. 
1992. Patterns of reproductive strategy parameters 
in some marine teleost fishes. J. Fish Biol. 41:137- 
160. 
Czarnol?ski, M., and J. Kozlowski. 
1998. Do Bertalanffy’s growth curves result from optimal 
resource allocation ? Ecol. Lett. 1:5-7. 
Day, T., and P. D. Taylor. 
1997. Von Bertalanffy’s growth equation should not 
