Brachidontes solisianus and Cirripedia model simulation (solid gray line) and average density values (squares) per 100 cm2, plus and minus standard deviation
Both the adult and immature invertebrate life cycle stages were
modeled according to a logistic function, whereby increases in the
adult population were a function of maturation rates, and increases
in the immature population were a function of recruitment rates
(Figs. 2, 3; Svensson et al., 2006), with recruits always
entering in the immature stage.
Because the sizes of individual animals were not measured in the
field during succession and recruitment experiments, we combined
simulated population densities for immature and adult cohorts for
comparison with data from the succession plots (Fig. 3) to
allow model parameter calibration.
Sensitivity analyses for bivalve and barnacle densities were
conducted by comparing the baseline simulation values (Fig. 3)
with simulated results for model parameters (Table 1) that
were altered, one at a time, by ±10% while holding all other
parameters constant (Guimaraens et al., 2007, 2008).
Recovery of the barnacle populations was principally observed
after day 150 of the succession experiment (Fig. 3), and the
average density of Cirripedia was significantly different between
the samples taken in May 2007 and those from September, October,
November, and December (GL = 10, F = 13.498,
P < 0.001).
Brachidontes solisianus showed a significant population increase in
the succession plots between days 50 and 200, which could be
observed in the field as lateral patch closure followed by a
decrease in the average population densities (Fig. 3;
GL = 10, F = 8.615, P < 0.001).
Average bivalve densities in June, July, and August were
statistically significantly different from those in April, May,
September, November, and December (Fig. 3)..
Taken together with the Bivalvem and Barnaclem results, these
values indicate that barnacles were competitively superior to
bivalves (Table 1; Figs. 2, 3), assuming that these
organisms have a tendency to form aggregations and compete with
conspecifics (Rodríguez et al., 1993; Svensson et al., 2006)..
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