Dissertação
Padrões globais e preditores da diversidade beta taxonômica e funcional em assembleias de peixes recifais
Fecha
2020-03-11Autor
Maxwell, Melina Forgiarini
Institución
Resumen
One of the main focuses of macroecological studies is to understand the spatial variation and,
in addition, to evaluate which are the predictors that shape this variation among terrestrial,
freshwater and marine ecosystems. Diversity can be measured by its taxonomic and functional
value. Also, this diversity can be partitioned into alpha, beta and gama. Beta diversity
corresponds to the difference of species composition or functional traits between pairs of
communities e can be divided in turnover and nestedness components. Turnover is the
substitution of species/functional traits between areas, being associated with species dispersal.
Marine biodiversity can also be measured through variations of species and functions, that
them perform. Reef areas are one of the main marine biodiversity centers in the world and
have a high diversity of marine organisms, among them the reef fish. Reef fish corresponds to
more than 6.000 species with a wide distribution throughout the oceans and it performs
essential functions for the maintenance of reef ecosystems. The dissimilarity values between
communities of tropical reef fish have been used to delimit biogeographic regions and to
evaluate differences (i.e., beta diversity) in taxonomic, functional and phylogenetic
compositions. Moreover, there is studies relating beta-diversity patterns to environmental
variables at local and regional scales. Thus, the main aims of this dissertation are: (i) to
investigate taxonomic and functional beta diversity patterns of reef fish assemblages on a
global scale; (ii) to evaluate the congruence between taxonomic and functional and taxonomic
beta diversity between pairs of reef fish assemblages; and (iii) to determine the relative
importance of environmental predictors in patterns of taxonomic and functional beta diversity.
Moreover, it is essential to know if the same predictor variables shape beta taxonomic and
functional diversity in different realms and biogeographic regions.