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Oncidiinae (Orchidaceae) on the great curve of the Xingu River, Pará state, Brazil

Overview of attention for article published in Brazilian Journal of Biology, August 2015
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Title
Oncidiinae (Orchidaceae) on the great curve of the Xingu River, Pará state, Brazil
Published in
Brazilian Journal of Biology, August 2015
DOI 10.1590/1519-6984.01014bm
Pubmed ID
Authors

MQ. Carneiro-Silva, AK. Koch, PL. Viana, AL. Ilkiu-Borges

Abstract

Among the studies on Orchidaceae in the Amazon, none comprised the region of the Great Curve of the Xingu River, located in the lower Xingu river. The aim of this study was to inventory and taxonomically study the species of Oncidiinae (Orchidaceae) in the Great Curve of the Xingu River, Pará state. The floristic survey was performed in the area of the Belo Monte hydroelectric plant, in the Vitória do Xingu municipality, centrally inserted in the called Great Curve of the Xingu River. Botanical collections were accomplished between June 2011 and December 2013. A total of 27 species of Oncidiinae, distributed in 15 genera, was inventoried in the study area. Notylia Lindl. and Trichocentrum Poepp. & Endl. were the richest genera, with five and four species, respectively, followed by Erycina Lindl., Ionopsis Kunth, Lockhartia Hook., Macradenia R.Br., and Ornithocephalus Hook., with two species each. The remaining eight genera are represented by a single species each in the study area. Morphological descriptions, a key for taxonomic identification, illustrations, and comments on distribution, ecology, phenology and morphology are provided for all inventoried species.

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The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Professor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Chemistry 1 11%
Unknown 4 44%