2012 COURSE DATES: AUGUST 4 – 17, 2012 - Sirenian International
2012 COURSE DATES: AUGUST 4 – 17, 2012 - Sirenian International
2012 COURSE DATES: AUGUST 4 – 17, 2012 - Sirenian International
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Fish Sci (2011) 77:795<strong>–</strong>798 797<br />
was included as a random factor. The most parsimonious<br />
model was selected based on the Akaike information criterion<br />
(AIC). For all statistical analyses, we used the<br />
software R, and the GLMM was analyzed using the<br />
package lme4 and the function lmer.<br />
Results<br />
The GLMM for illumination intensity including the day<strong>–</strong><br />
night difference as an explanatory variable was the best<br />
model, with the lowest AIC. The model had an AIC value<br />
that was 578.2 lower than the second best model, which<br />
included random effects only. This suggests that illumination<br />
intensity clearly differed between day and night<br />
(GLMM: day<strong>–</strong>night, estimated value during the day:<br />
1161.0 ± 63.5 SE, night: 1.1 ± 63.5 SE).<br />
The GLMM for the number of events of avoiding<br />
behavior that included the day<strong>–</strong>night difference as an<br />
explanatory variable was the best model, with the lowest<br />
AIC (Table 2). This model had an AIC value that was 31.1<br />
lower than the second best model, which included random<br />
effects only. These results suggest that the number of<br />
events of avoiding behavior differed between the day and<br />
night: these subjects showed a greater number of events of<br />
obstacle avoidance behavior during the day than at night<br />
(GLMM: day<strong>–</strong>night, estimated value during the day:<br />
1.7 ± 3.5 SE, at night: 0.8 ± 1.1 SE).<br />
The model with the lowest AIC value with respect to<br />
the number of events of bumping or active touching<br />
included random effects only (Table 2). The model had an<br />
AIC value of 0.8 and 1.7 lower than the second best<br />
model, which included the day<strong>–</strong>night difference. The<br />
GLMM for the number of events of bumping (GLMM:<br />
random effects only, 0.9 ± 1.3 SE) and active touching<br />
(GLMM: random effects only, 7.2 ± 2.1 SE) revealed<br />
that it was not related to the day<strong>–</strong>night difference. The<br />
GLMM for the duration of active touching, including<br />
random effects only, was the best model with the lowest<br />
AIC. The AIC value was 2.0 lower than the second best<br />
model, which included the day<strong>–</strong>night difference. These<br />
results suggest that the duration of active touching was not<br />
different between day and night (GLMM: random effects<br />
only, 49.8 ± 12.8 SE).<br />
The GLMM for the number or duration of events of<br />
inactive behavior, including random effects only, was the<br />
best model with the lowest AIC. The model had an AIC<br />
value of 0.7 and 0.8 lower than the second best model,<br />
which included day<strong>–</strong>night. These results indicate that the<br />
number (GLMM: random effects only, 1.3 ± 1.5 SE) and<br />
duration (GLMM: random effects only, 104.4 ± 10.7 SE)<br />
of events of inactive behavior were not related to the day<strong>–</strong><br />
night difference.<br />
Discussion<br />
In this study, the number and duration of events of<br />
inactive behavior did not differ between day and night.<br />
Therefore, we concluded that our subjects’ activities did<br />
not differ between day and night, and that it did not affect<br />
their behavioral responses to the obstacle during the<br />
experiments.<br />
Focusing on the differences in behavioral responses to a<br />
net obstacle between day and night, we found that captive<br />
manatees show a greater number of avoidance behaviors<br />
during the day than at night. These results suggest that<br />
manatees can recognize the obstacle more easily during<br />
light periods. However, there was no difference in the<br />
number of bumping events between light and dark periods.<br />
Therefore, accidental bumping may be expected to occur<br />
regardless of the level of illumination and manatee’s higher<br />
degree of associated recognition.<br />
All sirenian species have sparse hairs on their bodies and<br />
orofacial that are of the sinus type, and typically tactile in<br />
function [13<strong>–</strong>18]. In fact, it has been specifically reported<br />
that a manatee’s orofacial hairs are used for tactile exploration<br />
and discrimination [13<strong>–</strong>16, 18]. In the current study,<br />
the number and the duration of active touching behavioral<br />
events did not differ between day and night. These results<br />
indicate that manatees heavily rely on their tactile senses to<br />
recognize an obstacle, even during light periods that<br />
facilitate purely visual recognition. In field studies, when<br />
wild Antillean manatees are caught by encircling them with<br />
Table 2 The GLMM models for the number of events of each behavioral response to the obstacle (avoidance, active touching, and bumping of<br />
the obstacle) along with AIC and delta AIC (DAIC) values<br />
Model The number of events of each behavioral response to the obstacle<br />
Avoidance Active touching Bumping<br />
AIC DAIC AIC DAIC AIC DAIC<br />
Random effects only 200.7 31.1 180.8 0.0 48.8 0.0<br />
Day<strong>–</strong>night 169.6 0.0 182.5 1.7 49.6 0.8<br />
Favoured models (bold type) were evaluated on the basis of the lowest AIC<br />
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