2019
DOI: 10.3354/esr00979
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Distribution and growth rates of immature hawksbill turtles Eretmochelys imbricata in Fernando de Noronha, Brazil

Abstract: Knowledge of life history parameters is essential for the effective management of species of conservation concern. For migratory marine vertebrates such as hawksbill sea turtles Eretmochelys imbricata, feeding aggregations are important developmental habitats, allowing the study of population dynamics. Here, we used data from a 31 yr mark-recapture study of juvenile hawksbill sea turtles in the Fernando de Noronha Archipelago, Brazil, to estimate key demographic parameters. Turtles recruit to the neritic habit… Show more

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Cited by 11 publications
(17 citation statements)
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“…ID was used as a random, independent variable, as done when assessing growth rate over time (above). The equation was: gam(GR ~ s(CCL) + s(year) + s(RI), random = list(id ~ 1), method = "REML", family = Gaussian; see also Casale et al 2009;Colman et al 2015;Bellini et al 2019). GAMMs were run separately for the two species.…”
Section: Discussionmentioning
confidence: 99%
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“…ID was used as a random, independent variable, as done when assessing growth rate over time (above). The equation was: gam(GR ~ s(CCL) + s(year) + s(RI), random = list(id ~ 1), method = "REML", family = Gaussian; see also Casale et al 2009;Colman et al 2015;Bellini et al 2019). GAMMs were run separately for the two species.…”
Section: Discussionmentioning
confidence: 99%
“…Since it is unknown how old turtles were before recruiting to Aldabra as a foraging ground, we estimated the age of turtles, since recruitment, with year 0 associated with the smallest median size for each species in the data. The integration equation, y(CCL i ) = y(CCL i−1 ) + (CCL i -CCL i−1 )/ r(CCL i ), was used, where: y(CCL i ) represents the age at the initial mean size, y(CCL i−1 ) is the age of the previous recorded mean size, and r(CCL i ) is the individual annual growth rate (Colman et al 2015;Bellini et al 2019). The integration was also performed to obtain con dence intervals from the GAMMs.…”
Section: Discussionmentioning
confidence: 99%
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“…2 days, max. 14 years) during a long-term study (31 years) (Bellini et al 2019). Patterns of delity can be explained by habitat quality, which include optimal temperature, but also availability of food items (Metz et…”
Section: Spatial and Temporal Descriptionmentioning
confidence: 99%
“…Other di culties are related to tag loss, transmitter failure, and high value-added to certain equipment (Hebblewhite and Haydon 2010;Casale et al 2017). Nonetheless, mark-recapture still the most applied method because individuals are followed over time; thus, it is possible to obtain information on demographic parameters and population trends (see Bellini et al (2019)).…”
Section: Introductionmentioning
confidence: 99%