Models to compare management options for a protogynous fish.
Populations of gag (Mycteroperca microlepis), a hermaphroditic grouper, have experienced a dramatic shift in sex ratio over the past 25 years due to a decline in older age classes. The highly female-skewed sex ratio can be predicted as a consequence of increased fishing mortality that truncates the age distribution, and raises some concern about the overall fitness of the population. Management efforts may need to be directed toward maintenance of sex ratio as well as stock size, with evaluations of recruitment based on sex ratio or male stock size in addition to the traditional female-based stock-recruitment relationship. We used two stochastic, age-structured models to heuristically compare the effects of reducing fishing mortality on different life history stages and the relative impact of reductions in fertilization rates that may occur with highly skewed sex ratios. Our response variables included population size, sex ratio, lost egg fertility, and female spawning stock biomass. Population growth rates were highest for scenarios that reduced mortality for female gag (nearshore closure), while improved sex ratios were obtained most quickly with spawning reserves. The effect of reduced fertility through sex ratio bias was generally low but depended on the management scenario employed. Our results demonstrate the utility of evaluation of fishery management scenarios through model analysis and simulation, the synergistic interaction of life history and response to changes in mortality rates, and the importance of defining management goals.
Heppell
Selina S
SS
Department of Fisheries and Wildlife, 104 Nash Hall, Oregon State University, Corvallis, Oregon 97331, USA. selina.heppell@oregonstate.edu
Heppell
Scott A
SA
Coleman
Felicia C
FC
Koenig
Christopher C
CC
D017677:Age Distribution; D000818:Animals; D001492:Bass / Q000502:physiology*; D005075:Biological Evolution; D018533:Biomass; D004463:Ecology / Q000379:methods* / Q000706:statistics & numerical data; D005260:Female; D005298:Fertility / Q000502:physiology; D008297:Male; D008954:Models, Biological; D009026:Mortality / Q000639:trends*; D011158:Population Growth; D012744:Sex Ratio