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metadata.artigo.dc.title: Flooding regime drives tree community structure in Neotropical dry forests
metadata.artigo.dc.creator: Araújo, Felipe de Carvalho
Tng, David Yue Phin
Apgaua, Deborah Mattos Guimarães
Morel, Jean Daniel
Pereira, Diego Gualberto Sales
Santos, Paola Ferreira
Santos, Rubens Manoel dos
metadata.artigo.dc.subject: Caatinga domain
Disturbance gradient
Drought stress
Environmental filter
Soil fertility
Vegetation structure
Waterlogging stress
Domínio Caatinga
Gradiente de perturbação
Filtro ambiental
Fertilidade do solo
Estresse por alagamento
Comunidade arbórea
Florestas secas neotropicais
metadata.artigo.dc.publisher: International Association for Vegetation Science Nov-2019
metadata.artigo.dc.identifier.citation: ARAÚJO, F. de C. et al. Flooding regime drives tree community structure in Neotropical dry forests. Journal of Vegetation Science, [S.I.], v. 30, n. 6, p. 1195-1205, Nov. 2019.
metadata.artigo.dc.description.abstract: Questions: Riverine and associated vegetation communities are periodically affected by floods. However, there have been few quantitative studies on the structural responses of Neotropical tree communities in semi‐arid regions to this perturbance. Here, we ask whether flooding regimes and soil attributes affect tree species diversity, composition, community structure, and soil attributes in Neotropical dry forests. Locations: Southeast Brazil. Methods: We sampled 120 forest plots of 400 m² totaling 4.8 ha across four tributaries of the São Francisco River with plots situated in areas representing three flooding regimes: (a) annually flooded; (b) occasionally flooded; and (c) never subjected to flooding. Using linear mixed‐effects models, we modelled how flooding regime and soil properties (fertility and texture) affect vegetation diversity (species richness), species composition and structural attributes (abundance of individuals, above‐ground biomass [AGB], and a community‐weighted trait average of multistemness [CWMms]) of these forest plots. Results: Species richness in the annually flooded forests was significantly lower than in occasionally flooded or never flooded forests, in agreement with our models, which showed that flooding regime was a significant predictor for this variable. Flooding regime was a significant predictor of CWMms, with plots in annually flooded forest sites having the highest CWMms values. Soil chemical attributes were a significant predictor of AGB across all plots but not between flooding regime categories. Conclusions: In Neotropical dry forests, environmental filters established by flooding can lead to differences among distinct biomes in vegetation structure, diversity patterns as well as system productivity. Conservation strategies for dry forests should therefore take these factors into consideration. Our study also highlights annually flooded dry forest as a significant component of the regional diversity of dry forests deserving of management attention.
metadata.artigo.dc.language: en
Appears in Collections:DCF - Artigos publicados em periódicos

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