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Floristic-functional variation of tree component along an altitudinal gradient in araucaria forest areas, in Southern Brazil

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Title
Floristic-functional variation of tree component along an altitudinal gradient in araucaria forest areas, in Southern Brazil
Published in
Anais da Academia Brasileira de Ciências, July 2017
DOI 10.1590/0001-376520172016-0794
Pubmed ID
Authors

VANESSA F. SOBOLESKI, PEDRO HIGUCHI, ANA CAROLINA DA SILVA, MARIELE A.F. DA SILVA, AMANDA S. NUNES, RODINELI LOEBENS, KARINE DE SOUZA, JHENIFFER FERRARI, CARLA L. LIMA, RICARDO V. KILCA

Abstract

We aimed to investigate the taxonomic and functional variations of tree component of Araucaria Forest (AF) areas located along an altitudinal gradient (700, 900 and 1,600 m asl), in the southern region of Brazil. The functional traits determined were leaf area, specific leaf area, wood density, maximum potential height and dispersal syndromes and deciduousness. The data were analyzed through a functional and taxonomic dissimilarity dendrograms, community-weighted mean trait values, parametric and nonparametric tests, and Principal Component Analysis. The largest floristic-structural similarity was observed between the lower altitude areas (700 and 900 m asl), whose Bray-Curtis distance was 0.63. The area at 700 m asl was characterized by a predominance of deciduous and semi-deciduous species, with a high number of self- and wind-dispersed species, whereas the area at 1,600 m asl exhibited a predominance of animal-dispersed and evergreen species. It was also observed that there were significant variations for leaf traits, basic wood density and maximum potential height. Over all altitudinal gradient, the ordinations indicated that there was no evidence of functional differentiation among dispersal and deciduousness groups. In conclusion, the evaluated Araucaria Forest areas presented high floristic-functional variation of the tree component along the altitudinal gradient.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Student > Bachelor 3 14%
Professor 3 14%
Student > Doctoral Student 3 14%
Unspecified 1 5%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 50%
Environmental Science 4 18%
Computer Science 1 5%
Unspecified 1 5%
Engineering 1 5%
Other 0 0%
Unknown 4 18%