Evidência de retardo no pico de desova da tartaruga de pente na costa sul do Rio Grande do Norte
The study of changes in the behavioral pattern of sea turtles is of fundamental importance for the conservation of the species. Eretmochelys imbricata, popularly known as a hawksbill turtle, is considered, according to the IUCN's red list, an animal with a high risk of extinction (critically...
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Formato: | Dissertação |
Idioma: | por |
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Brasil
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Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/25693 |
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Resumo: | The study of changes in the behavioral pattern of sea turtles is of fundamental
importance for the conservation of the species. Eretmochelys imbricata, popularly
known as a hawksbill turtle, is considered, according to the IUCN's red list, an animal
with a high risk of extinction (critically endangered) both in Brazil and abroad. The
objective of this study was to compare spawning peaks throughout the oviposition
seasons for a period of ten years of data collection. In this work, analyzes were
performed to show differences in the spawning period (E. imbricata) observed in the
southern coast of Rio Grande do Norte (RN). The database (2006 to 2016) was
analyzed to evaluate if there is a temporal displacement of the spawning period of E.
imbricata. The spawn records computed daily within each season are visualized as a
daily spawn histogram. In order to smooth the data to perform a better statistical
analysis was made cumulative sum of data. An adjustment using the logistic curve
was performed on the cumulative sum. Based on the spatial variation rate (derived)
function calculated by the cumulative sum function and a Gaussian adjustment, the
maximum spawning day for each season was estimated. A significant correlation was
observed between occurrence peaks and spawning seasons. Using the Pearson's
test, the statistical data were obtained (R = -0.70; df = 8; p = 0.024). The angular
coefficient, calculated from the linear adjustment of the data, showed a delay of
approximately 1.2 days per year, with error of ± 4,4, throughout the studied period.
The data presented indicate the correlation between the change in the spawning
period (temporal detachment) with probable resource variations and with global
environmental changes due to climate change. |
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