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Summary: 1
Abstract--Fisheries models have tradi
tionally focused on patterns of growth,
fecundity, and survival of fish. However,
reproductive rates are the outcome of
a variety of interconnected factors
such as life-history strategies, mating
patterns, population sex ratio, social
interactions, and individual fecundity
and fertility. Behaviorally appropriate
models are necessary to understand
stock dynamics and predict the success
of management strategies. Protogynous
sex-changing fish present a challenge
for management because size-selective
fisheries can drastically reduce repro
ductive rates. We present a general
framework using an individual-based
simulation model to determine the
effect of life-history pattern, sperm
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