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Soil-vegetation relationships and community structure in a "terra-firme"-white-sand vegetation gradient in Viruá National Park, northern Amazon, Brazil

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2017
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Title
Soil-vegetation relationships and community structure in a "terra-firme"-white-sand vegetation gradient in Viruá National Park, northern Amazon, Brazil
Published in
Anais da Academia Brasileira de Ciências, May 2017
DOI 10.1590/0001-3765201720160666
Pubmed ID
Authors

Bruno A F DE Mendonça, Elpídio I Fernandes, Carlos E G R Schaefer, Júlia G F DE Mendonça, Bruno N F Vasconcelos

Abstract

Viruá National Park encompasses a vast and complex system of hydromorphic sandy soils covered largely by the white sand vegetation ("Campinarana") ecosystem. The purpose of this study was to investigate a vegetation gradient of "terra-firme"-white sand vegetation at the Viruá National Park. Nine plots representing three physiognomic units were installed for floristic and phytosociological surveys as well as to collect composite soil samples. The data were subjected to assessments of floristic diversity and similarity, phytosociological parameters and to statistical analyses, focused on principal components (PC) and canonical correspondence analysis (CCA). The vegetation of the Campinaranas types and Forest differed in biomass and species density. Ten species, endemic to Brazil, were particularly well-represented. PC and CCA indicated a clear distinction between the studied plots, based on measured soil variables, especially base sum and clay, which were the most differentiating properties between Campinarana and Forest; For the separation of the Campinarana types, the main distinguishing variable was organic matter content and cation exchange capacity. Higher similarity of Campinaranas was associated to a monodominant species and the lower similarity of Forest was related to the high occurrence of locally rare species.

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The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Ph. D. Student 5 12%
Professor 5 12%
Student > Bachelor 4 10%
Student > Doctoral Student 4 10%
Other 10 24%
Unknown 8 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Environmental Science 8 19%
Engineering 4 10%
Earth and Planetary Sciences 3 7%
Business, Management and Accounting 2 5%
Other 4 10%
Unknown 10 24%