Banca de QUALIFICAÇÃO: ANA BEATRIZ LOURENCO DE ASSIS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ANA BEATRIZ LOURENCO DE ASSIS
DATE: 20/02/2022
TIME: 14:00
LOCAL: Virtual
TITLE:

Use of ecological modeling to predict the potential geographic distribution of species of family Calliphoridae of forensic importance in the Northeast region of Brazil.

KEY WORDS:

Calliphoridae, Forensic Entomology, Ecological Modeling, Northeast.

PAGES: 37
BIG AREA: Ciências Biológicas
AREA: Imunologia
SUMMARY:

Forensic entomology is the science that studies insects and other arthropods related to legal issues. The use of these animals as evidence of crime is dated in the literature since the 13th century and is currently gaining strength in academia and as an auxiliary component in criminal investigations in different parts of the world. In Brazil, entomological research focused on the forensic area has been more and more frequent, but consolidation of forensic entomology in the country still depends on the interaction between academic production and the demand and reality of the judicial police. Brazil is one of the countries with one of the greatest diversities in the world and this will be reflected in the cadaveric fauna, and, together with the peculiarities of national biomes, there is an urgent need for regional entomological studies. The formation of a database and the estimation of potential species distribution can generate important information for forensic entomology, especially in cases of cadaver displacement, data for IPM, in addition to assisting fauna survey research and species identification. The main objective of this work is: to determine the potential distribution of fly species of the Calliphoridae family of forensic interest in the Northeast region of Brazil and to create a database on Calliphoridae fly collecting. For the study, a bibliographic survey was carried out in the portals of national and international journals and data on the collecting and distribution of the flies were obtained, used to generate a database. For an ecological modeling, ArcGis and MaxEnt software were used, which use sets of environmental variables and geographic data to generate the models. The analyzes showed that Chrysomya albiceps and Chrysomya megacephala were the most collected species in the Northeast, with Pernambuco being the state that holds most of the records of animals and works in the area. This research will synthesize biological, taxonomic and ecological information that can help future research and the application of forensic entomology in the judicial sphere.

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