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Seasonality of reproduction of epiphytic bryophytes in flooded forests from the Caxiuanã National Forest, Eastern Amazon

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2016
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Title
Seasonality of reproduction of epiphytic bryophytes in flooded forests from the Caxiuanã National Forest, Eastern Amazon
Published in
Anais da Academia Brasileira de Ciências, May 2016
DOI 10.1590/0001-3765201620150274
Pubmed ID
Authors

Gabriela R Cerqueira, Anna Luiza Ilkiu-Borges, Leandro V Ferreira

Abstract

This work aimed to recognize the reproductive biology of the epiphytic bryoflora of phorophytes of Virola surinamensis (Rol. ex. Rottb.) Warb. in várzea and igapó forests in the Caxiuanã National Forest, to answer the following question: The reproductive period of the bryophyte species is influenced by the environment due the climatic seasonality present in flooded forests, being higher the occurrence of the sexual and asexual reproduction in the rainiest months? The bryophytes were identified and analyzed for the type of reproduction, sexual system and reproductive structures. In total, 502 samples of bryophytes were analyzed, resulting in 54 species, of which 34 were fertile. The comparison of the fertility of the species in different environmental conditions (dry or rainy, and igapó or várzea forest) was assessed using the chi-square test. The fertility of the seven studied species could not be defined by a pattern, considering the forest type and the seasonality. However, two species were associated to the forest type and two further species to the seasonality, showing that, for some bryophyte species, invest in constant fertility may be favoring the maintenance of their populations in tropical forests.

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The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Student > Master 5 18%
Lecturer 2 7%
Other 2 7%
Professor 2 7%
Other 4 14%
Unknown 8 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 43%
Environmental Science 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Computer Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 8 29%