Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/17975
Título: Broad Scale Distribution of Ferns and Lycophytes along Environmental Gradients in Central and Northern Amazonia, Brazil
Autor: Zuquim, Gabriela
Tuomisto, Hanna
Costa, Flávia Regina Capellotto
Prado, J.
Magnusson, William Ernest
Pimentel, Tânia Pena
Braga-Neto, Ricardo
Figueiredo, Fernando Oliveira Gouvêa
Palavras-chave: Community Composition
Conservation Planning
Data Set
Dispersal
Ecological Modeling
Environmental Factor
Environmental Gradient
Fern
Heterogeneity
Landscape
Plant Community
Population Distribution
Pteridophyte
Species Conservations
Tropical Forest
Understory
Vegetation Structure
Amazonas
Filicophyta
Lycopodiophyta
Pteridophyta
Data do documento: 2012
Revista: Biotropica
É parte de: Volume 44, Número 6, Pags. 752-762
Abstract: Establishing which factors determine species distributions is of major relevance for practical applications such as conservation planning. The Amazonian lowlands exhibit considerable internal heterogeneity that is not apparent in existing vegetation maps. We used ferns as a model group to study patterns in plant species distributions and community composition at regional and landscape scales. Fern species composition and environmental data were collected in 109 plots of 250 × 2 m distributed among four sites in Brazilian Amazonia. Interplot distances varied from 1 to ca 670 km. When floristically heterogeneous datasets were analyzed, the use of an extended Sørensen dissimilarity index rather than the traditional Sørensen index improved model fit and made interpretation of the results easier. Major factors associated with species composition varied among sites, difference in cation concentration was a strong predictor of floristic dissimilarity in those sites with pronounced heterogeneity in cation concentration. Difference in clay content was the most relevant variable in sites with uniform cation concentrations. In every case, environmental differences were invariably better than geographic distances in predicting species compositional differences. Our results are consistent with the ideas that: (1) the relative predictive capacity of the explanatory variables depend on the relative lengths of the observed gradients; and (2) environmental gradients can be hierarchically structured such that gradients occur inside gradients. Therefore, site-specific relationships among variables can mask the bigger picture and make it more difficult to unravel the factors structuring plant communities in Amazonia. © 2012 by The Association for Tropical Biology and Conservation.
DOI: 10.1111/j.1744-7429.2012.00880.x
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