Je. Thorpe et al., MODELING THE PROXIMATE BASIS OF SALMONID LIFE-HISTORY VARIATION, WITHAPPLICATION TO ATLANTIC SALMON, SALMO-SALAR L, Evolutionary ecology, 12(5), 1998, pp. 581-599
The great diversity of life-history patterns in the salmonids has stim
ulated many theoretical studies. However, virtually all studies are ba
sed on ultimate considerations, in which predictions are made by compa
ring the expected reproductive success of different developmental or l
ife-history pathways and choosing the one (or ones) with the highest f
itness. Such models are post hoc because they attribute fitness to ind
ividuals at the completion of the particular phase of the life cycle a
nd do not attempt to characterize the mechanisms that animals use to a
chieve the life-history pattern. We describe a model, based on proxima
te considerations, for salmonid life histories, focused on Atlantic sa
lmon Salmo salar L. The model involves identification of the times at
which developmental conversions are initiated or inhibited and the con
nection between physiological states and the thresholds for such conve
rsions. Developmental paths are based on the comparison of the current
physiological status of the fish (and its change of state) with a gen
etic threshold. The state of the fish and rate of change of state are
determined by environmental opportunity, but the threshold is genetic.
This approach therefore immediately generates a genotype-environment
interaction. We use expected reproductive success to determine the fit
ness of individuals with different genetically determined thresholds.
Instead of finding an optimal life history, our theory generates fitne
ss surfaces for different life histories, so that variation is inheren
t in this approach. We describe and explain the structure of the model
and present evidence on which this structure is based, thus providing
a framework within which one can understand how ecology relates to th
e physiological mechanisms leading to the developmental changes of sme
lt metamorphosis and maturation.