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Magnoliophyta species of restinga, state of Pernambuco, Brazil

Authors: Zickel, C. S.; Almeida Jr., E. B.; Medeiros, D. P. W.; Lima, P. B.; Souza, T. M. S.; Lima, A. B;

Magnoliophyta species of restinga, state of Pernambuco, Brazil

Abstract

Restinga vegetation occurs along the entire coast of Brazil. The 187 km of coastline of the state of Pernambuco demonstrates a diversity of habitats, such as beaches, dunes, and restingas. The present study sought to elaborate a checklist of the phanerogamic species found there. The species listed were compiled from surveys undertaken between 1951 and 2007, as well as from herbaria collections in that state. A total of 477 species distributed among 303 genera and 95 families were encountered. The families with the greatest numbers of species were Poaceae (39 species), Fabaceae (34), Cyperaceae (26), Euphorbiaceae (25), Myrtaceae (24), Rubiaceae (20), Caesalpiniaceae (17), Mimosaceae (16), Asteraceae (14), Orchidaceae (14), Bromeliaceae (9), Boraginaceae (8), Malvaceae (8), Solanaceae (8), and Annonaceae, Araceae, Chrysobalanaceae, Malpighiaceae, and Melastomataceae (7 each). Approximately 60 % of the species were common to other restinga areas in northeastern Brazil, and 39.3 % were restricted to the coast of Pernambuco. 

Keywords

QH301-705.5, Biology (General)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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