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SILVA,Paulo Henrique da; GOMIDE,Lucas Rezende; FIGUEIREDO,Evandro Orfanó; CARVALHO,Luis Marcelo Tavares de; FERRAZ-FILHO,Antônio Carlos. |
ABSTRACT Reduced-impact logging is a well known practice applied in most sustainable forest management plans in the Amazon. Nevertheless, there are still ways to improve the operational planning process. Therefore, the aim of this study was to create an integer linear programming (ILP) to fill in the knowledge gaps in the decision support system of reduced impact logging explorations. The minimization of harvest tree distance to wood log landing was assessed. Forest structure aspects, income and wood production were set in the model, as well as the adjacency constraints. Data are from a dense ombrophylous forest in the western Brazilian Amazon. We applied the phytosociological analysis and BDq method to define the selective logging criteria. Then, ILP... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Forest planning; Reduced-impact logging; Integer linear programming; Sustainable forest management; Liocourt quocient. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000100018 |
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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 |
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