Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/34054
metadata.artigo.dc.title: Water availability drives gradients of tree diversity, structure and functional traits in the Atlantic–Cerrado–Caatinga transition, Brazil
metadata.artigo.dc.creator: Terra, Marcela de Castro Nunes Santos
Santos, Rubens Manoel dos
Prado Júnior, Jamir Afonso do
Mello, José Marcio de
Scolforo, José Roberto Soares
Fontes, Marco Aurélio Leite
Schiavini, Ivan
Reis, Aliny Aparecida dos
Bueno, Inacio Thomaz
Magnago, Luiz Fernando Silva
Steege, Hans ter
metadata.artigo.dc.subject: Environmental gradient
Climate changes
Multiple regression models
Water availability
Gradiente ambiental
Mudanças climáticas
Modelos de regressão múltipla
Disponibilidade de água
metadata.artigo.dc.publisher: Oxford Academic
metadata.artigo.dc.date.issued: Dec-2018
metadata.artigo.dc.identifier.citation: TERRA, M. de C. N. S. et al. Water availability drives gradients of tree diversity, structure and functional traits in the Atlantic–Cerrado–Caatinga transition, Brazil. Journal of Plant Ecology, [S. l.], v. 11, n. 6, p. 803-814, Dec. 2018.
metadata.artigo.dc.description.abstract: Aims Climate and soil are among the most important factors determining variation in tree communities, but their effects have not been thoroughly elucidated to date for many vegetation features. In this study, we evaluate how climate and soil gradients affect gradients of vegetation composition, species diversity and dominance, structure and functional traits (seed mass and wood density) using over 327 000 trees in 158 sites distributed along environmental gradients in the transitions among the Atlantic forest, Cerrado and Caatinga in Minas Gerais State (MG), Brazil (nearly 600 000 km2). Methods Gradients in species, genus and family abundance in addition to basal area, stem density, species diversity (Fisher’s alpha), dominance percentage, seed mass and wood density were correlated using multiple regressions with environmental variables, as summarized in four principal component analysis axes (two climatic—precipitation seasonality and temperature range—and two edaphic—soil fertility and soil moisture). Additionally, ordinary kriging maps were used to better illustrate the gradients. Important Findings Multiple regression models indicate that all variables but dominance percentage were affected by one or more of the environmental gradients, but the average R2 was low (26.25%). Kriging maps reinforced the patterns observed in the regression models. Precipitation seasonality and soil moisture gradients were the most important gradients affecting vegetation features. This finding suggests that water availability is an important determinant of vegetation features in these vegetation transitions.
metadata.artigo.dc.identifier.uri: https://academic.oup.com/jpe/article/11/6/803/5032688
http://repositorio.ufla.br/jspui/handle/1/34054
metadata.artigo.dc.language: en
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