Banca de DEFESA: CICERO DIOGO LINS DE OLIVEIRA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : CICERO DIOGO LINS DE OLIVEIRA
DATE: 23/02/2023
TIME: 10:00
LOCAL: Sala virtual ICBS/Meet - https://meet.google.com/imn-teaz-knz
TITLE:

Bioecological attributes as extinction risk predictors of marine elasmobranchs

KEY WORDS:

Marine ecoregions; Elasmobranchs; Indicators; Extinction risk

PAGES: 143
BIG AREA: Ciências Biológicas
AREA: Ecologia
SUBÁREA: Ecologia Aplicada
SUMMARY:

Marine elasmobranchs stand out for their high risk of extinction and a portion of the species still do not have appropriate data to be evaluated, such as growth parameters, reproduction and fishing data. Therefore, the study proposes to discriminate biological and ecological attributes that are simple to obtain that can be used as effective predictors to predict levels of threat of extinction. For this, we carried out a survey of valid species and extraction of more general attributes of these species (eg, maximum length, habitat, reproductive mode, trophic level, conservation status, among others), in the Shark-References, IUCN and FishBase databases. . To extract these data, we used the rfishbase package of the R software. A correlation matrix was performed to identify which attributes were highly correlated, which were excluded. To determine which bioecological attributes are best predictors of threat status, we used generalized linear models (GLMs), modeling IUCN threat status (not including NE and DD categories) as a function of attributes. Subsequently, we evaluated the assertive rate of the models, and sequentially applied the models to the species categorized as NE and DD. Data from 1,173 species of marine elasmobranchs were compiled, of which 537 are sharks and 636 are rays. The GLM model pointed out that species with histotrophic viviparity and long body length were the most threatened. On the other hand, pelagic-oceanic and shallower species were estimated to be less threatened. The assertiveness rate of the models shows that the most general scale (which determines whether the species is or is not at risk of extinction) was greater than 70%. When applying these models to species classified as NE and DD, we identified that 63% of stingray species are at some degree of extinction risk and 58% for sharks. Therefore, these bioecological attributes can indicate species with greater risk of extinction, thus being able to subsidize their prioritization in population assessments.

BANKING MEMBERS:
Presidente - 400800 - VANDICK DA SILVA BATISTA
Interno(a) - 1639893 - CLAUDIO LUIS SANTOS SAMPAIO
Interno(a) - 823.093.370-72 - LUCAS AUGUSTO KAMINSKI - UFAL
Externo(a) à Instituição - FRANCISCO MARCANTE SANTANA DA SILVA - UFRPE
Externo(a) à Instituição - MATHEUS OLIVEIRA FREITAS
Externo(a) à Instituição - OTTO BISMARCK FAZZANO GADIG - UNESP