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Estrutura e volume de povoamento de um remanescente de Floresta Estacional Semidecidual em Curvelo, MG.Franco, St?nio Abdanur Porf?rio 06 1900 (has links)
Submitted by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-01-23T14:01:55Z
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Previous issue date: 2012 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Este trabalho teve como objetivo conhecer a estrutura e a composi??o flor?stica de um remanescente de Floresta Estacional Semidecidual, al?m de determinar o volume de povoamento por meio da aplica??o de modelos de regress?o e utiliza??o de redes neurais artificiais. O remanescente possui aproximadamente 162 hectares e est? localizado na Fazenda Experimental do Moura em Curvelo, MG, no qual foram alocadas sistematicamente 25 unidades amostrais de 400 m? (10 X 40 m), e todos os indiv?duos vivos do compartimento arb?reo-arbustivo que possu?am fuste com DAP ? 5 cm tiveram registrados os valores dos DAPs, altura total e de fuste, e atributos categ?ricos referentes ? sanidade e tortuosidade dos fustes. Foram amostrados 1105 indiv?duos distribu?dos em 114 esp?cies, 41 fam?lias e 91 g?neros. Os valores encontrados para o ?ndice de diversidade de Shannon Weaver e equabilidade de Pielou foram de 3,91 e 0,82 respectivamente. Pela an?lise volum?trica, verificou-se que modelos que utilizam a ?rea basal e altura m?dia como vari?veis independentes apresentam estimativas aproximadas para quantificar o volume de povoamento, sendo indicados para esta finalidade. Do mesmo modo, a metodologia de redes neurais artificiais tamb?m se mostrou eficiente na quantifica??o do volume de florestas nativas nas condi??es deste estudo, pelo teste e n?vel de signific?ncia adotados. A associa??o de vari?veis categ?ricas ?s cont?nuas nas camadas de entrada das redes neurais geradas, n?o resultou em estimativas mais precisas pelas condi??es assumidas neste trabalho. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2012. / ABSTRACT
This study aimed to know the structure and floristic composition of woody compartment of a remnant of semideciduous forest, as well as determine the stand volume by applying regression models and use of artificial neural networks. The remnant has approximately 162 hectares and is located on the Experimental Moura?s Farm in Curvelo, MG, which were systematically allocated 25 plots of 400 m? (10 X 40 m), and all the individuals of the woody compartment who had bole with a DBH ? 5 cm were recorded values?? of DBHs, total height and bole, and categorical attributes related to the sanity and tortuosity of the boles. Were sampled 1105 individuals in 114 species, 41 families and 91 genera. The values? ?found for the index of Shannon Weaver diversity and evenness were 3.91 and 0.82 respectively. By volume analysis, it was found that models that use basal area and the average height as independent variables have rough estimates to quantify the stand volume, being indicated for this purpose. Similarly, the methodology of artificial neural networks also proved to be efficient in quantifying the volume of native forests in the conditions of this study, by the test and significance level adopted. The association of categorical variables to continuous in the input layers of neural networks generated, did not result in more accurate estimates by the conditions assumed in this work.
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