Mr. Easterling et Sp. Ellner, Dormancy strategies in a random environment: Comparing structured and unstructured models, EVOL EC RES, 2(4), 2000, pp. 387-407
Hatching strategies are studied in a model of population dynamics in a rand
om environment. The strategies are the fraction of dormant eggs that hatch
each year, A projection matrix with random elements describes the populatio
n dynamics. The model extends the density-independent model of Dan Cohen an
d the density-dependent model of Stephen Ellner by adding structure to the
egg bank, such that a fraction of the dormant eggs are buried and unavailab
le for hatching each year. Differences between the structured and unstructu
red models are analysed by deriving a small variance approximation for the
population's long-term growth rate and relating the growth rate to the egg
bank structure and the environmental parameters. Tuljapurkar and Istock (19
93) claimed that structured and unstructured models give very different pre
dictions, especially when dormancy is high. We show that Tuljapurkar and Is
tock's conclusions are the result of the particular dormancy type in their
model, in which the maximum duration of dormancy is 2 years, rather than th
e addition of population structure. Using parameters estimated from field a
nd experimental studies of the freshwater copepod Diaptomus sanguineus in B
ullhead Pond, RI, the density-dependent model correctly predicts that the p
opulation should maintain a long-term pool of diapausing eggs, whereas the
density-independent model makes the incorrect prediction that all eggs shou
ld hatch at their first opportunity. If the per capita burial and emergence
rates are low, as may be the case for many plant populations, the ESS opti
mal hatching strategy is nearly that of an unstructured model with the mort
ality of non-hatchers increased by the burial rate.