Submitted by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-01-07T10:46:05Z No. of bitstreams: 2 leonidas_soares_murta-junior.pdf: 3383554 bytes, checksum: 710b5a08cef75b6338efb0b57b9f6258 (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-01-07T10:46:32Z (GMT) No. of bitstreams: 2 leonidas_soares_murta-junior.pdf: 3383554 bytes, checksum: 710b5a08cef75b6338efb0b57b9f6258 (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-01-07T10:46:50Z (GMT) No. of bitstreams: 2 leonidas_soares_murta-junior.pdf: 3383554 bytes, checksum: 710b5a08cef75b6338efb0b57b9f6258 (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) / Made available in DSpace on 2015-01-07T10:46:50Z (GMT). No. of bitstreams: 2 leonidas_soares_murta-junior.pdf: 3383554 bytes, checksum: 710b5a08cef75b6338efb0b57b9f6258 (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) Previous issue date: 2013 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / O objetivo deste trabalho foi testar procedimentos para determinar o volume individual de ?rvores, consistindo em m?todos alternativos ao processo de cubagem. No cap?tulo 1, foi testado o m?todo da similaridade de perfis combinado com diferentes medidas de similaridade, modelos de taper, m?todos de estima??o de par?metros representativos de estratos sem equa??o e diferentes m?todos de gera??o de equa??o volum?trica. Os dados utilizados foram de 3.620 ?rvores abatidas e cubadas, divididas 62 estratos. Foram medidas as vari?veis DAP, altura total, e os di?metros ao longo do fuste nas posi??es de 0,00; 0,50; 1,00; 1,50 e 2,00 m, e a partir deste, as se??es foram medidas de 2,0 em 2,0 m, at? a altura total. O modelo volum?trico de Schumacher e Hall foi ajustado por estrato. Os modelos de taper utilizados foram o de Kozak, de Garcia, de Ormerod e o Polin?mio de Quinto Grau. As dist?ncias testadas foram a Dist?ncia Euclidiana, Dist?ncia Euclidiana M?dia, Dist?ncia Euclidiana Ponderada e Dist?ncia Euclidiana Quadr?tica. Foram testados 2 m?todos de estima??o dos par?metros dos modelos de afilamento (3 ?rvores; e os par?metros da ?rvore mais pr?xima ao di?metro m?dio) e 3 m?todos de determina??o da equa??o volum?trica (equa??o do estrato mais similar, equa??o das 30 ?rvores mais similares e equa??o gerada com o n?mero de ?rvores referentes a 5 ?rvores por classe de di?metro do estrato sem equa??o definida), que combinados configuraram os 5 procedimentos testados. As estat?sticas utilizadas para verificar a qualidade das estimativas foram bias, raiz quadrada do erro m?dio, correla??o e an?lise gr?fica de res?duos. A valida??o foi realizada com dados independentes para 4 estratos. Os resultados indicaram que n?o houve diferen?a entre as medidas de similaridade utilizadas. Os melhores modelos foram o Polin?mio de Quinto Grau e o de Kozak, sendo o segundo mais indicado devido a sua facilidade de ajuste. O m?todo de gera??o da equa??o baseada nas 30 ?rvores mais similares proporcionou as melhores estimativas volum?tricas. No cap?tulo 2, foi utilizado redes neurais artificiais (RNA) para estimar o volume individual de ?rvores. Os dados foram os mesmos utilizados no cap?tulo 1. As vari?veis de entrada utilizadas foram: entrada 1 (DAP, altura total, di?metros a 0,00; 0,50; 1,00; 1,50 e 2,00 metros de altura); entrada 2 (adi??o do volume at? 2 metros); entrada 3 (adi??o do grau de esbeltez) e entrada 4 (adi??o da vari?vel categ?rica representando a forma do fuste at? 2 metros de altura). Foram retidas as 5 melhores redes por conjunto de vari?veis de entrada. Os dados foram divididos em 60% para treinamento, 20% para teste e 20% para generaliza??o. Para avaliar as estimativas foram utilizadas as estat?sticas bias, raiz quadrada do erro m?dio, correla??o e an?lise gr?fica dos res?duos. A melhor metodologia para gerar as redes foi aplicada a dados independentes para se avaliar a qualidade das estimativas de volume. As redes que proporcionaram as melhores estimativas foram as geradas pelo conjunto de vari?veis de entrada 2 (DAP, altura total, di?metros a 0,00; 0,50; 1,00; 1,50; 2,00 metros de altura e volume at? 2 metros). / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2013. / ABSTRACT The objective of this work was to test procedures to determine the volume of individual trees, consisting of alternative methods to process of scaling. In the Chapter 1, was tested the profiles similarity method combined with different measures of similarity, taper models, parameter estimation methods representative of groups without equation and different generation methods of volumetric equations. The data used were 3.620 felled and cubed trees, divided in 62 groups. The variables measured were DBH, total height, and diameters along the stem in positions 0.00; 0.50; 1.00; 1.50 e 2.00 meters, and to this, the sections were measured from 2.0 to 2.0 meters, up to the total height. The volumetric model of Schumacher and Hall was adjusted by group. Taper models used were Kozak model, Garcia model, Ormerod model and The Fiftieth Degree Polynomial. The distances tested were Euclidean Distance, Mean Euclidean Distance, Weighted Euclidean Distance, and Quadratic Euclidean Distance. Two parameter estimation methods from to taper models were tested (3 trees; and the parameters of the tree nearest to the mean diameter) and three generation methods of volumetric equations (equation similar group, equation of 30 most similar trees and equation generated from the number of trees respect to 5 trees per diameter class for group without defined equation), the combination of them, results in five procedures tested. The statistics used to check the quality of the estimates were bias, root mean square error, correlation coefficient and graphic residual analysis. The validation was performed using independent data for 4 groups. The results indicated that there was no difference between the similarity measures used. The best models were the Fifth Degree Polynomial and Kozak, being the second most indicated due to its ease of adjust. The generation method of the equation based on the 30 most similar trees provided the best volumetric estimates. In the Chapter 2, was used artificial neural networks to estimate the volume of individual trees. The data were the same as used in Chapter 1. The input variables were used: input 1 (DBH, total height, diameters at 0.00; 0.50; 1.00; 1.50 e 2.00 meters); input 2 (addition volume of up to 2 meters); input 3 (addition of slenderness degree) and input 4 (addition of categorical variable representing the form of the stem up to 2 meters). The 5 best networks by set of input variables were retained. The data were divided into 60% for training, 20% for testing and 20% for generalization of the network. To evaluate the estimates were used the statistical bias, root mean square error, correlation coefficient and graphic residual analysis. The best method for generating neural network was applied to independent data to evaluate the quality of the volume estimates. The neural networks provided the best estimates were generated by the set of input variables 2 (DBH, total height, diameter at 0.00, 0.50, 1.00, 1.50, 2.00 meters in height and volume to 2 meters).

Una de las partes más importantes y complejas en el diseño de pilotes es el cálculo de su capacidad de carga axial debido al comportamiento impredecible del suelo y a las diversas metodologías disponibles para estimar esta capacidad portante. En consecuencia, los profesionales encargados de esta labor suelen tener complicaciones en la selección de la metodología a utilizar y terminan haciendo uso de su experiencia y confianza en determinadas metodologías para el proceso de selección; sin embargo, el seleccionado no necesariamente es el más adecuado para las condiciones geotécnicas que se tiene. Por otro lado, las pruebas de carga dinámica o “Pile Dynamic Analysis” (PDA) sumados a los métodos de análisis de onda “Case Pile Wave Anlysis Program” (CAPWAP) son utilizados cada vez con mayor frecuencia para validar en campo la longitud de los pilotes y la capacidad de carga real que estos desarrollan. Para el presente trabajo se utilizaron los datos de 2 pilotes de acero tubular de 812.8 mm de diámetro y 18 mm y espesor, que fueron hincados en suelo costero constituido por estratos de arena limosa y grava cuyas capacidades de carga se conocen debido a los ensayos PDA. Posteriormente, se utilizaron las metodologías analíticas para estimar la capacidad de carga axial por punta y fuste de los pilotes. Luego se comparar con los resultados obtenidos del PDA para obtener así las metodologías que se aproximan numéricamente a los resultados de las pruebas y en consecuencia las más adecuadas para el tipo de suelo analizado. / One of the most important and difficult part in the design of piles is estimate axial load capacity for those structural elements. This difficulty and complexity is caused by the unpredictable behavior of the soil and many methodologies that exist to estimate the load capacity of the piles. The professionals in charged for this work often have complications in the selection of methods and try to use their experience to select one of those, however this one couldn’t be the ideal method for the analyzed soil. On the other hand, dynamic load tests and the "Analysis of the stack wave analysis" (CAPWAP) are increasingly frequent to validate the length and the real load capacity. In this work we have used data from 2 pilots of tubular steel of 812.8 mm in diameter and 18 mm and wall thickness, which have been used in coastal soil consisting mainly of sandy gravel and silty sand. Then, we created a database of soil geotechnical parameters and results of axial load capacity for tip and fuse of PDA tests. Later, analytical and empirical methodologies will be analyzed to estimate the capacity of axial load by tip and shaft of tubular steel piles. Finally, the results of the tasks of the PDA are compared and the values of the estimated load capacity that are obtained from the most appropriate methodologies for the type of soil analyzed in the tip and shaft calculation are compared. / Tesis

Submitted by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-01-23T14:01:55Z No. of bitstreams: 5 4.pdf: 1336645 bytes, checksum: b9aa2a5ec89cf8811ce03ef7c1bff0f0 (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) license.txt: 2109 bytes, checksum: aa477231e840f304454a16eb85a9235f (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-02-10T13:07:11Z (GMT) No. of bitstreams: 5 4.pdf: 1336645 bytes, checksum: b9aa2a5ec89cf8811ce03ef7c1bff0f0 (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) license.txt: 2109 bytes, checksum: aa477231e840f304454a16eb85a9235f (MD5) / Made available in DSpace on 2015-02-10T13:07:11Z (GMT). No. of bitstreams: 5 4.pdf: 1336645 bytes, checksum: b9aa2a5ec89cf8811ce03ef7c1bff0f0 (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) license.txt: 2109 bytes, checksum: aa477231e840f304454a16eb85a9235f (MD5) 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.

Submitted by Mario BC (mario@bc.ufrpe.br) on 2018-08-14T12:27:23Z No. of bitstreams: 1 Celio Gregorio de Vasconcelos Jossefa.pdf: 3004118 bytes, checksum: 8c715397c5713d59bdfbdc32bc130f6e (MD5) / Made available in DSpace on 2018-08-14T12:27:23Z (GMT). No. of bitstreams: 1 Celio Gregorio de Vasconcelos Jossefa.pdf: 3004118 bytes, checksum: 8c715397c5713d59bdfbdc32bc130f6e (MD5) Previous issue date: 2016-10-31 / Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq / One of the ways to estimate volumes of the Eucalyptus trees with efficiency is to apply formulae that can make the estimates with precision. The objective of this work was to compare two ways of volume estimations: mathematical models through regression methods and the artificial neural networks. The data set used came from the second rotation of the experiment containing 15 clones, of Eucalyptus spp., implanted at the Experimental Station of the Agronomic Institute of Pernambuco (IPA), located in the Araripe region, Pernambuco, Brazil. The data set was composed of 2199 trees, cubed by the Smalian method. It was measured the total height, stem height and diameters at several position in the bole. For modeling, the trees were grouped using the Skott-Knott test, per clone and for all the clones together. The evaluation of Artificial Neural Network (ANN) adjustments considered two forms of input of the independent variables: a) volume sections and b) diameter at breast height (DBH) and total height (Ht). The performance of the mathematical volumetric models and ANN was based on Schlaegel fitting index (IAaj), root mean squared error in percentage (RMSE%) and graphic residuals analysis. According to the results, the Schumacher-Hall model presented better statistical performance for estimating the individual volume of Eucalyptus spp. The Artificial Neural Network considering the volume of the sections as input variables was superior when comparing with DBH and Ht as input variables. The Silva-Borders model and Artificial Neural Networks considering the volume of the sections as input variables are more practical to measure volumes because they do not consider the variable Ht, which is often difficult to measure in the field and costly. / Uma das maneiras de tornar mais eficiente a estimativa do volume das árvores de Eucalipto é a aplicação de ferramentas capazes de tornar as estimativas bem próximas do real. O objetivo deste trabalho foi comparar duas formas de estimativas de volume: modelos matemáticos por meio de métodos de regressão e redes neurais artificiais. O conjunto de dados utilizado resultou da segunda rotação do experimento contendo 15 clones, de Eucalyptus spp., Implantados na Estação Experimental do Instituto Agronômico de Pernambuco (IPA), localizada na região de Araripe, Pernambuco. O conjunto de dados foi composto por 2199 árvores, cubadas pelo método de Smalian. Foi mensurada a altura total, altura do fuste e diâmetros em várias posições no fuste. Para modelagem, as árvores foram agrupadas utilizando o teste de Skott-Knott, por clone e para todos os clones juntos. A avaliação dos ajustes da Rede Neural Artificial (RNA) considerou duas formas de entrada das variáveisindependentes: a) seções de volume e b) diâmetro à altura do peito (DAP) e altura total (Ht). O desempenho dos modelos matemáticos e RNA foi baseado no índice de adaptação de Schlaegel (𝐼𝐴𝑎𝑗), erro quadrático médio em percentual (RMSE%) e análise gráfica de resíduos. De acordo com os resultados obtidos, o modelo de Schumacher-Hall apresentou melhor desempenho estatístico para estimar o volume individual de Eucalyptus spp. A Rede Neural Artificial considerando o volume das seções como variáveis de entrada foi superior quando comparado com DAP e Ht como variáveis de entrada. O modelo de Silva-Borders e as Redes Neurais Artificiais considerando o volume das seções como variáveis de entrada são mais práticos para estimar o volume porque não consideram a variável Ht, que é muitas vezes difícil de medir no campo e onerosa.

Submitted by Valquíria Barbieri (kikibarbi@hotmail.com) on 2018-04-30T22:39:20Z No. of bitstreams: 1 DISS_2015_Ariel Souza Rossi.pdf: 2445630 bytes, checksum: 83e29452e738e684605b37aae31b6bb3 (MD5) / Approved for entry into archive by Jordan (jordanbiblio@gmail.com) on 2018-05-16T14:56:01Z (GMT) No. of bitstreams: 1 DISS_2015_Ariel Souza Rossi.pdf: 2445630 bytes, checksum: 83e29452e738e684605b37aae31b6bb3 (MD5) / Made available in DSpace on 2018-05-16T14:56:01Z (GMT). No. of bitstreams: 1 DISS_2015_Ariel Souza Rossi.pdf: 2445630 bytes, checksum: 83e29452e738e684605b37aae31b6bb3 (MD5) Previous issue date: 2015-06-19 / O objetivo desta pesquisa consistiu em ajustar um modelo de fator de forma e modelo de afilamento para Pinus caribaea var. caribaea Barr. et Golf. para a região Centro-Sul de Mato Grosso. O povoamento localizado no município de Nova Marilândia possui área de 215,47ha, e o seu entorno é ocupado por atividades agrícolas. A implantação foi efetuada com mudas de origem seminal e o povoamento não recebeu qualquer tratamento silvicultural e os dados foram coletados em 2014, quando o povoamento possuía 36 anos. A descrição do povoamento ocorreu através de um inventário aleatório, visando representar todo o povoamento. Posteriormente foi realizada a classificação sociológica do povoamento de acordo com a metodologia de Hozokawa e Souza. Os dados coletados são provenientes de 90 árvores, oriundas de todas as classes sociológicas. Para o ajuste do fator de forma foram testados 10 modelos e para o ajuste do afilamento foram testados os modelos de Kozak, Polinômio de Potências Fracionárias e Hradetzky. Além disso, foram comparados os volumes obtidos através do fator de forma e através da integral da função de afilamento com o volume obtido através da cubagem rigorosa. Dentre os modelos de fator de forma avaliados, o que melhor ajustou aos dados foi um modelo logarítmico; o modelo de Hradetzky apresentou melhor ajuste ao afilamento e calculou mais precisamente o volume total. A comparação dos volumes estimados e o calculado, ao nível de 5% (α = 0,05) para o teste de Tukey não foi verificada diferença estatisticamente significativa. / The aim of this research consisted adjust a model of factor of form and model of afilamento caribaea Pinus to var. caribaea Barr. et Golf. for the region Center-South of Mato Grosso. The population located in the city of Nova Marilândia possesses area of 215,47ha, and around is occupied for agricultural activities. The implantation was performed with seedlings of seminal origin, the population did not receive any silvicultural treatment and the data were collected in 2014, when the population had 36 years. The description of the population occurred through a random inventory, aiming at to represent the population all. Subsequently the sociological classification of the population was carried in accordance with the methodology of Hozokawa and Souza. The collected data are proceeding from 90 trees, deriving of all the sociological classes. For the adjustment of the form factor 10 models were tested and for the adjustment of the tapering, the models of Kozak, Polynomial of Powers Fracionárias and Hradetzky, were tested. Moreover, the volumes obtained through the factor of form and the integral of the tapper function were compared with the volume obtained through the rigorous cubage. Amongst the models of form factor evaluated, what better it adjusted to the data was a logarithmic model; the model of Hradetzky presented adjustment to the tapering better and calculated the total volume more precisely. The comparison of the estimated volumes and the calculated one, to the level of 5% (α = 0,05) for the test of Tukey was not verified statistically significant difference.

The objective of this study was to quantify the biomass and to determine the optimal sampling point for nutrients quantification in four year old Acacia mearnsii trees. It was conducted in black wattle stand, located in Arroio dos Ratos city in a farm belonging to SETA S/A, having as coordinates 30° 07 12 of south latitude and 51° 57 45 of longitude, with 90 m of average altitude. The first step was the forest inventory, where 30 trees were felled, distributed in 7 diametric classes, to cover the stand heterogeneity, then the biomass and the nutrients amount in the leaves, live branches, dead branches, roots, wood and bark were determined. Samples of wood and bark were taken along the stem in the posítions of: 1, 3, 10, 20, 30, 40, 50, 60, 70, 80 and 90% of the total height. The total biomass from Acacia mearnsii trees was of 72, 91 Mg ha-1 and was divided in: 64% in the wood, 11% in the roots, 10% in the bark, 7% in the live branches, 5% in the dead branches and 3% in the leaves. The total amount of macronutrients (kg ha-1) were: 384,94 of N, 15,69 of P, 200,06 of K, 267,74 of Ca, 58,54 of Mg and 18,57 of S, and the micronutrients (g ha-1) were: 1.249,01 of B, 195,33 of Cu, 6.485,64 of Fe, 1.073,52 of Mn and 809,33 of Zn. From this total, the leaf component accumulated 20% of the N, 18% of P and Cu, 12% of the K, 5% of Ca and Fe, 10% of Mg and S, 17% of B, 19% of Mn and 6% of Zn; the roots accumulated 14% of N, Cu , Mn and Zn, 11% of P and K, 8% of Ca, 7% of Mg, 15% of S, 17% of B and 66% of Fe; the wood accumulated 21% of N, 27% of P, 30% of K, 50% of Ca, 36% of Mg, 45% of S, 26% of B and Mn, 37% of Cu, 9% of Fe and 41% of Zn; the bark accumulated 22% of N and Mg, 17% of P, 21% of P and Ca, 22% of Mg, 10% of S, Fe and Cu, 20% of B and Mn and 12% do Zn; the dead branches accumulated 8% of N, S and B, 6% of P, 4% of K, 7% of Ca, 11% of Mg, Cu and Zn, 5% of Fe and 9% of Mn; the live branches accumulated15% of N, 21% of P, 22% of K, 9% of Ca, 13% of Mg and B, 12% of S and Mn, 10% of Cu, 5% of Fe and 16% of Zn. The total amount of carbon stored in the biomass was 29,79 Mg ha-1, allocated 64% in the wood, 11% in the roots, 9% in the bark, 7% in the live branches and 4% in the dead branches and leaves. The nutrients Ca, Mg, S, B, Cu, Fe, Mn and Zn didn t show significant difference along the stem to wood and bark, indicating that there isn t an exact point for sampling along the stem to nutrients quantification. The optimal sampling point to nutrients (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) quantification along the stem should be 50% from the total height in Acacia mearnsii trees / O objetivo deste estudo foi quantificar a biomassa e determinar o ponto ótimo de amostragem para a quantificação de nutrientes em árvores de Acacia mearnsii com quatro anos de idade. O trabalho foi realizado em um povoamento de acácia-negra localizado na cidade de Arroio dos Ratos, em uma fazenda pertencente à empresa SETA S/A, nas coordenadas 30° 07 12 de latitude sul e 51° 57 45 de longitude, com altitude média de 90m. O primeiro passo foi a realização do inventário florestal no povoamento, onde foram abatidas 30 árvores, distribuídas em 7 classes diamétricas, para cobrir a heterogeneidade do povoamento. Após foram determinados a biomassa e o teor de nutrientes dos componentes: folha, galho vivo, galho morto, raiz, madeira e casca. Para os componentes madeira e casca foram retiradas amostras ao longo de fuste nas posições de 1, 3, 10, 20, 30, 40, 50, 60, 70, 80 e 90% da altura total das árvores. A biomassa total das árvores de Acacia mearnsii com quatro anos foi de 72,91 Mg ha-1, distribuída 64% na madeira, 11% nas raízes, 10% na casca, 7% nos galhos vivos, 5% nos galhos mortos e 3% nas folhas. A quantidade total de acronutrientes, em kg ha-1, foi 384,94 de N; 15,69 de P; 200,06 de K; 267,74 de Ca; 58,54 de Mg; e 18,57 de S; e de micronutrientes (gha-1), foi 1.249,01 de B; 195,33 de Cu; 6.485,64 de Fe; 1.073,52 de Mn; e 809,33 de Zn. Deste total, o componente folha acumulou 20% do N, 18% do P e Cu, 12% do K, 5% do Ca e Fe, 10% do Mg e S, 17% do B, 19% do Mn e 6% do Zn; as raízes acumularam 14% do N, Cu , Mn e Zn, 11% do P e K, 8% do Ca, 7% do Mg, 15% do S, 17% do B e 66% do Fe; a madeira acumulou 21% do N, 27% do P, 30% do K, 50% do Ca, 36% do Mg, 45% do S, 26% do B e Mn, 37% do Cu, 9% do Fe e 41% do Zn; a casca acumulou 22% do N e Mg, 17% do P, 21% do P e Ca, 22% do Mg, 10% do S, Fe e Cu, 20% do B e Mn e 12% do Zn; os galhos mortos acumularam 8% do N, S e B, 6% do P, 4% do K, 7% do Ca, 11% do Mg, Cu e Zn, 5% do Fe e 9% do Mn; os galhos vivos acumularam 15% do N, 21% do P, 22% do K, 9% do Ca, 13% do Mg e B, 12% do S e Mn, 10% do Cu, 5% do Fe e 16% do Zn. O carbono total estocado na biomassa foi 29,79 Mg ha-1, distribuído 64% na madeira, 11% na raiz, 9% na casca, 7% nos galhos vivos e 4% nos galhos mortos e folhas. Para os nutrientes cálcio (Ca), magnésio (Mg), enxofre (S), boro (B), cobre (Cu), ferro (Fe), manganês (Mn) e zinco (Zn), não foi verificada variação significativa ao longo do fuste, para os componentes madeira e casca, indicando qualquer altura para amostragem no fuste para quantificação dos nutrientes. O ponto ótimo de amostragem, para quantificação dos nutrientes (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn e Zn) no fuste, deve situar-se a 50% da altura total das árvores de Acacia mearnsii