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Predicting the distribution of forest tree species using topographic variables and vegetation index in eastern Acre, Brazil
Provedor de dados: 36
Autores: FIGUEIREDO,Symone Maria de Melo; VENTICINQUE,Eduardo Martins; FIGUEIREDO,Evandro Orfanó; FERREIRA,Evandro José Linhares.
Species distribution modeling has relevant implications for the studies of biodiversity, decision making about conservation and knowledge about ecological requirements of the species. The aim of this study was to evaluate if the use of forest inventories can improve the estimation of occurrence probability, identify the limits of the potential distribution and habitat preference of a group of timber tree species. The environmental predictor variables were: elevation, slope, aspect, normalized difference vegetation index (NDVI) and height above the nearest drainage (HAND). To estimate the distribution of species we used the maximum entropy method (Maxent). In comparison with a random distribution, using topographic variables and vegetation index as...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Modeling; Maxent; Forest inventory; Modeflora; Amazon.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672015000200167