Uso Do Método Da Predição De Parâmetros Para Projetar a Distribuição Diamétrica Em Florestas Nativas Com a Função Weibull

Abstract

RESUMOO objetivo deste trabalho foi utilizar o método da Predição dos Parâmetros da função Weibull 3P (Três Parâmetros) para a projeção da distribuição diamétrica de um Fragmento de Floresta Ombrófila Mista, comparando os resultados com projeções geradas pelos métodos Matriz de Transição e Razão de Movimentos. Os dados são oriundos de 100 parcelas permanentes de 2.500 m² (50 m x 50 m) instaladas na Floresta Nacional de Irati, Estado do Paraná e medidas nos anos de 2002, 2005, 2008 ABSTRACTThe objective of this study was to use the 3P (Three Parameters) Weibull Parameter Prediction method to predict the diameter distribution in a Mixed Ombrophilous forest fragment, comparing the results with predictions generated by the Transition Matrix and Movement Ratio methods. The data come from 100 permanent plots of 2,500 m² (50 m x 50 m) established in the National Forest of Irati, in Parana state, measured in the years of 2002, 2005, 2008 and 2011. For the Parameter Prediction method it has been fitted (stepwise) models for predictions for 3, 6 and 9 years, using as dependent variables, the 3P Weibull parameters b and c (a parameter was set at 10.02 cm corresponding to the minimum value of diameter measured) and, as the independent variables were tested N.ha -1 , G.ha

Diameter Distribution Projections in Mixed Ombrophylous Forest in the Center-South Region of Parana, Brazil

“…In Table 2, it can be seen that there was a divergence between the Dcalc and RI statistics in the two periods (3 and 6 years) in which the analyzes were performed, corroborating Orellana and Figueiredo Filho (2017), who also found divergence between these statistics. It was also observed (Table 2) that the diametric distribution projection for the last two periods was rejected by the K-S test at the level of 5% error probability for the three methods tested.…”

A new approach to maximize the wood production in the sustainable management of Amazon forest

“…However, information about individual species distribution pattern and growth in Amazon forest is scarce. Future stock projection is difficult for tropical forest due to its great diversity (Orellana and Figueiredo Filho 2017).…”

“…Diameter distribution is a useful feature to describe the forest properties since the diameter is easily obtained and correlated with other variables such as volume, which defines the economic value of the forest area (Bailey and Dell 1973). Diameter is widely used in the forest sector to assess the effect of environmental and anthropogenic disturbances (Kohyama 1986;Coomes et al 2003;Wright et al 2003;Bettinger et al 2009;Hossain et al 2015), to describe successional patterns (Kohyama 1986;Wright et al 2003;Wang et al 2009), and for the prediction of the future stock of a stand (De Liocourt 1898;Meyer 1952;Carvalho 1981;Condit et al 1998;Bettinger et al 2009;Hossain et al 2015;Orellana and Figueiredo Filho 2017).…”

Strategies to Maximize the Wood Production in Amazon Forest

“…Diametric distribution is a useful factor to describe the forest properties since the diameter is easily obtained and correlated with other variables such as volume, which defines the economic value of the forest area (Bailey;Dell, 1973). Diameter is widely used in the forest sector to assess the effect of environmental and anthropogenic disturbances (Kohyama, 1986;Coomes et al, 2003;Wright et al, 2003;Bettinger et al, 2009;Hossain et al, 2015), to describe successional patterns (Kohyama, 1986;Wright et al, 2003;Wang et al, 2009) and for the prediction of the future stock of a stand (De Liocourt, 1898;Meyer, 1952;Carvalho, 1981;Condit et al , 1998;Bettinger et al, 2009;Hossain et al, 2015;Orellana;Figueiredo Filho, 2017). However, future stock projection is difficult for tropical forest due to its great diversity (Orellana, Figueiredo Filho, 2017).…”