dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:21:55Z
dc.date.accessioned2022-10-05T16:13:53Z
dc.date.available2014-05-20T15:21:55Z
dc.date.available2022-10-05T16:13:53Z
dc.date.created2014-05-20T15:21:55Z
dc.date.issued1995-06-01
dc.identifierArquivos de Biologia E Tecnologia. Curitiba-Paraná: Inst Tecnologia Parana, v. 38, n. 2, p. 533-540, 1995.
dc.identifier0365-0979
dc.identifierhttp://hdl.handle.net/11449/32992
dc.identifierWOS:A1995RW23300019
dc.identifier0545015050042632
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3905429
dc.description.abstractThe species of the sandy plains forests (forests of the ''restingas'') have not yet had their spatial patterns studied as aids to the understanding of the diversity found in the different physiognomies along the Brazilian coast. In this paper a 10 x 10 m quadrat framework laid in a hectare of a tree dominant forest in the sandy plains of the Picinguaba area of the Serra do Mar State Park (municipality of Ubatuba, state of São Paulo, Brazil) was used to assess the spatial pattern of distribution for the ten most important species : Pera glabrata, Euterpe edulis, Eugenia brasiliensis, Alchornea triplinervea, Guatteria australis, Myrcia racemosa, Jacaranda semiserrata, Guarea macrophylla, Euplassa cantareirae and Nectandra oppositifolia. The spatial patterns were inferred through the calculations of their T-Square Index (C) and Dispersal Distance Index (I). P. glabrata shows a random pattern, E. edulis aggregate, E. brasiliensis, A. triplinervia, G. australis, E. cantareirae and N. oppositifolia with a tendency between aggregate and uniform and, M. racemosa, J. semiserrata and G. macrophylla between aggregate and random. Although the indexes are dependent of the sample size and of the technique adjustments, the relationship of the pattern with the environmental factors is shown by clustering methods. The results give confirmation of how the spatial patterns bring associations between populations and shape of the vegetation physiognomy.
dc.languagepor
dc.publisherInst Tecnologia Parana
dc.relationArquivos de Biologia E Tecnologia
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectSPATIAL PATTERNS
dc.subjectDISTRIBUTION
dc.subjectCOASTAL FOREST
dc.subjectRESTINGA
dc.titleSpatial patterns or trees in the Picinguara coastal sandy forest (state of Sao-Paulo, Brazil)
dc.typeArtigo


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