Banca de QUALIFICAÇÃO: UÉCSON SUENDEL COSTA DE OLIVEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : UÉCSON SUENDEL COSTA DE OLIVEIRA
DATE: 28/07/2023
TIME: 08:30
LOCAL: UNIR _ ON LINE
TITLE:

BETADIVERSITY AND DETERMINING FACTORS IN ANURA ASSEMBLIES IN THE APONIÃ RIVER MICROBASIN, CUNIÃ ECOLOGICAL STATION – ESEC Cuniã (Purus-Madeira Interfluve, Porto Velho, Rondônia).

KEY WORDS:

Amphibians, Beta diversity, Heterogeneity, Environmental predictors

PAGES: 76
BIG AREA: Ciências Biológicas
AREA: Ecologia
SUBÁREA: Ecologia de Ecossistemas
SUMMARY:

Environments between interfluves of rivers in the Amazon are little studied, but with possibilities of high richness in biodiversity due to their environments composed of great heterogeneity. The study of these environments, involving abiotic and biotic factors, can help to understand the formation processes of the composition of the fauna in these localities. Knowledge about the fauna of anuran amphibians helps to understand the formation processes and their involvement with environmental factors due to their sensitivity to changes in the environment. And for correlated knowledge of this influence, the methods used in biodiversity knowledge programs (PPBio), using trails in the middle of the forest covering several phytosionomic aspects, is of fundamental importance to obtain answers about the influence of environmental predictors in the composition of biodiversity and to determine beta diversity on amphibian assemblages using environmental factors as determinants. In dry land forests, environmental heterogeneity is a determining factor in the composition of amphibian species, which influence the distribution patterns of species along streams as a result of variation in abiotic factors and their interactions within the riparian zone. At the Cuniã Ecological Station (Esec Cuniã) the effect of the variables associated with the riverside area along the drainage network is decisive in the first to third order streams, they are distributed along the watershed of the Aponiã River. The study was conducted at the Cuniã Ecology Station (Esec Cuniã), located in the north of the State of Rondônia, about 120 km from the urban area of Porto Velho, which can be accessed via the BR 319 highway. mesoscale drainage (25 Km2), which flows towards the Madeira River, with streams ranging from first to third order, are partially subjected to flooding after heavy rains. Anuran amphibians were sampled in 17 riparian plots measuring 250m long and 2m wide, following the right bank and towards the headwaters of the creeks that cross the grid, uniformly distributed within the area, following the RAPELD sampling system. The densities of frog species were determined by the RAPELD sampling method using two methods: (1) Visual search limited by space, (2) Auditory recording of frog species in vocalization activity, the plots were inventoried in the twilight period and nocturnal. Considering the importance of the Amazon forest for biodiversity, and with the processes of reduction in habitat preservation, they provide isolation and generate unequal environments that end up forcing local species to survive in smaller populations, isolated from each other by inhospitable habitats between fragments. Understanding the distribution patterns of species in this region is essential to fill gaps in the biodiversity of the Amazonian plains. Our study analyzed the composition of amphibian assemblages that make up the areas of ESEC CUNIÃ, we analyzed deterministic environmental predictors to evaluate the influence of these factors on species composition, determining which factor has greater significance. With the determination of these factors, we evaluated the beta diversity (β) which describes the diversity of species between locations and, when partitioned, can reflect two phenomenal: nesting (nestedness/species richness) and species replacement (turnover/species replacement) collaborating to understand the behavior of species distribution across the Brazilian Amazon, and for data analysis we used XLSTAT 2017, R Studio 4.1.3

COMMITTEE MEMBERS:
Presidente - 1632974 - ANGELO GILBERTO MANZATTO
Interno - 1530806 - ALEXANDRE DE ALMEIDA E SILVA
Interno - 1905088 - RONALDO DE ALMEIDA
Externo ao Programa - ***.330.484-** - RICARDO TEIXEIRA GREGORIO DE ANDRADE - IFRO
Externo ao Programa - 819.686.712-34 - VICTOR MOUZINHO SPINELLI