Banca de QUALIFICAÇÃO: LARA MACHADO ALVES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : LARA MACHADO ALVES
DATA : 30/05/2018
HORA: 09:00
LOCAL: Sala de reuniões do Departamento de Ecologia
TÍTULO:

ABUNDANCE PATTERNS OF TREES IN THE SAZONALLY DRY FOREST OF BRAZIL

PALAVRAS-CHAVES:

Caatinga, distribution and abundance of species, environmental gradient and semi-arid region

PÁGINAS: 20
GRANDE ÁREA: Ciências Biológicas
ÁREA: Ecologia
RESUMO:

The distributions of the species and their abundances follow drivers and these can be climatic or edaphic, may be current or remnants of the past, may be of human effect or simply possess a unique pattern of semi-arid environments. What we do know is that the composition of the communities is not a simple overlapping of species, but it goes through the concepts of niche, environmental heterogeneity and filters. In order to understand the patterns of distribution of tree abundances and the influence of their drivers, we use the Caatinga area - northeastern Brazil, about 800 thousand Km2. We searched for published and unpublished inventories in the literature on a time scale from 1969 to 2016. The general criterion was that the vegetation was classified as caatinga and within the limits of the domain defined by IBGE. Thus we created a base, called "Caaporã", where are information about the studied sites, biotic and abiotic variables and the list of species were gathered. The climatic variables were obtained from the WorldClim, the Soil Grids and the historical (Last Glacial Maximum, about 22 thousand years) by the Moura 2016 methodology. The duplicates and taxonomic correction of the species were verified. At the end we got 668 species and 91 points. As a result of PCoA we verified the existence of two abundance gradients with explained proportion of 63% and 36%, respectively. Through the Moran’s Index it was verified that there is spatial correlation. The regression of axis 1 gave R2 of 0.48 and the significant variables were: current aridity index, temperature stability, precipitation stability, cation exchange and human footprint. The regression of axis 2 gave R2 of 0.62 and the significant variables were: latitude, current aridity index, historical aridity index, temperature stability, precipitation stability and sand. To perform the analyzes, Program R 3.2.1 (2016) was used with the specific packages required for each of the analyzes.

MEMBROS DA BANCA:
Presidente - 1837921 - ALEXANDRE FADIGAS DE SOUZA
Interno - 1677189 - GISLENE MARIA DA SILVA GANADE
Interno - 1451741 - MARCIO ZIKAN CARDOSO