RICHNESS AND FLORISTIC COMPOSITION OF THE FERN COMMUNITY IN RIPARIAN FOREST OF THE RIVER ‘CADEIA’, IN RIO GRANDE DO SUL STATE, BRAZIL

• Autor(a) principal: Mallmann, Ivanete Teresinha
• Data de Publicação: 2014
• Outros Autores: Schmitt, Jairo Lizandro
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Ciência Florestal (Online)
• Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/13327
• topic: floristic survey; rarefaction; richness estimators; conservation.; inventário florístico; rarefação; estimadores de riqueza; conservação

http://dx.doi.org/10.5902/1980509813327The present study analyzed richness and specific composition of the fern community in fragments fromthe riparian forest of river ‘Cadeia’, under different levels of human impact, in Santa Maria do Herval, RioGrande do Sul state, Brazil. An amount of 120 sample units were delimited, equitably distributed in threefragments (FI, II and III) in which all species were surveyed and the richness was recorded. The floristiccomposition among fragments was compared using Jaccard’s index and spatial distribution of units wasevaluated through multidimensional scaling. Richness data were presented in the form of rarefaction curvesbased on samples and non-parametric diversity estimators. A total of 40 species were found, belonging to13 families. The greater floristic similarity was between FI and FII. Sample units from FI formed the mostdefined grouping and they had more exclusive species than the others. The rarefaction curve for the totalsampling almost reached the asymptote and estimators indicated a maximum of 45 species, which meansthat the majority of species was surveyed at the study site. A decreasing gradient of mean richness per unitwas observed as the urbanization increased in the matrix habitat of the fragments. These results form a database to be used in management, conservation and reforestation measures in degraded riparian forests. Theycan be directly compared to results from other studies that used rarefaction and richness estimators, whichis not possible to do with many of the surveys accomplished in Brazil so far.