Estimativa de biomassa e carbono total para árvores de caixeta no Paraná

Melo, Lara Clímaco de; Sanquetta, Carlos Roberto; Corte, Ana Paula Dalla; Hentz, Ângela Maria Klein

doi:10.4336/2014.pfb.34.77.592

Cited by 5 publications

(9 citation statements)

References 11 publications

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“…An error less than 10% indicates that the sample is representative of the population to estimate the variable in question (Péllico Netto & Brena, 1997). However, the sampling error obtained in this research can be considered low in view of the high variability of dry biomass among trees in this forest community (Melo et al, 2014;Morais et al, 2013a).…”

Section: Resultsmentioning

confidence: 83%

“…An alternative would be to apply the models to the species separately, thus reducing the variability caused by the characteristics of different species. Good results can be obtained even when the models include only the diameter (Litton & Kauffman, 2008;Melo et al, 2014). In the work of Melo et al (2014), the best models to estimate the biomass of "caixeta" (Tabebuia cassinoides (Lam.)…”

Section: Resultsmentioning

confidence: 99%

“…The direct method is destructive, because the tree is chopped down and its components are weighted. The indirect method is performed by means of estimates, which can be made with satellite images (Goetz et al, 1999;Chen et al, 2003;Drolet et al, 2005;Watzlawick et al, 2009;Corte & Sanquetta, 2007;Frankenberg et al, 2011;Song et al, 2013) or via mathematical models (Rezende et al, 2006;Urbano et al, 2008;Morais et al, 2013b;Melo et al, 2014). In the case of mathematical models, the biomass is estimated as a function of variables easily measured in forest inventories.…”

Section: Introductionmentioning

confidence: 99%

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Allometric models to biomass in restoration areas in the Atlantic rain forest

et al. 2018

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The objective of the study was to present mathematical models and strategies for fitting equations to estimate dry biomass for tree species in forest restoration areas. The presence of outliers was analyzed in each fitted equation using values of the matrix H, leverage points, means of standard and studentized residuals, and of influential points through DFFITS, DFBETAS and COOK distance values. Furthermore, the normality, homoscedasticity and independence of residuals were checked. The accuracy of the fitted equations was evaluated by means of the R 2 adj., S yx , analysis of residuals, and AIC and BIC criteria. The results showed that the model for estimating dry biomass as a function of the variables Dc 2 , DBH 2 , Hc 2 and DBH provides the more accurate solution, with S yx = 40.91% and R 2 adj.= 0.92. We concluded that the performance of this equation improves when adjusted to data stratified by classes of height-diameter ratio, which reduces the value of the estimated error.

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Section: Resultsmentioning

confidence: 83%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Allometric models to biomass in restoration areas in the Atlantic rain forest

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“…No presente caso o fuste representa mais de 50% da biomassa total e a parte aérea cerca de 82%, com uma participação importante dos galhos (22%). Espécies tipicamente simpodiais, como a caixeta (Tabebuia cassinoides), por exemplo, podem ter uma partição mais concentrada nos galhos (MELO et al, 2014). Em acácia-negra (Acacia mearnsii), com características arquitetônicas monopodiais, o compartimento fuste chega a representar mais de 70% da biomassa total (CALDEIRA et al, 2011).…”

Section: Partição Da Biomassaunclassified

“…Vários estudos reportam a tendência de forte correlação da biomassa total ou do fuste com o dap e em menor grau com a altura (MELO et al, 2014;MOGNON et al, 2014;SANQUETTA et al, 2014). Diversos estudos revelam que a biomassa por compartimento (galhos, folhas, raízes) se correlacionam em menor grau ao dap e a altura (VALERIO, 2009;BARBEIRO et al, 2009;RATUCHNE, 2015), o que também foi observado nos resultados dessa pesquisa.…”

Section: Correlaçõesunclassified

Partição Da Biomassa E Relações Biométricas De Aroeira-Pimenteira

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Sanquetta

et al. 2019

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RESUMOSchinus terebinthifolius Raddi é uma importante espécie nativa de ocorrência no bioma Mata Atlântica. A determinação da biomassa e sua alocação auxiliam na compreensão da distribuição dos multiprodutos de uma floresta. Este trabalho teve como objetivo analisar a distribuição dos diferentes compartimentos da biomassa total em indivíduos de S. terebinthifolius com 12 anos no município de Pinhais, estado do Paraná. Trinta árvores foram abatidas e separadas em: fuste, galhos e folhas, e as raízes foram escavadas até 1 m. Amostras correspondentes a cada compartimento foram retiradas e analisadas em laboratório a fim de se obter a relação de teor de umidade. Os dados foram analisados por meio da construção de uma matriz de correlação simples entre a biomassa dos compartimentos e total com variáveis biométricas. Além da biomassa, diâmetro a 1,30 m do solo e altura total foram mensurados. Os seus valores observados variaram de 5,00 a 11,60 cm, com média de 8,02 cm, e de 6,00 a 8,80 m, com média de 7,52 m, respectivamente. A biomassa seca apresentou variação entre 7,08 a 37,95 kg, com média de 19,05 kg. A distribuição da biomassa foi: fuste, com 51,89%, galhos com 22,24%, raízes com 18,33% e folhas com 7,55%. O fator de expansão de biomassa variou de 1,14 a 2,94, com média de 1,65. A razão de raízes variou de 0,08 a 0,27, com média de 0,17. A biomassa se correlacionou significativamente com o diâmetro a 1,30 m do solo, mas não com a altura e entre si. O FEB apresentou correlação apenas com altura comercial (inversamente) e R com nenhuma das variáveis. PALAVRAS-CHAVE: Alometria, Fator de expansão, Peso seco, Razão de raízes. ABSTRACT Schinus terebinthifoliusRaddi is an important native species which occurs in the Atlantic Forest. Biomass determination and its allocation helps on the understanding of the distribution of the multiproducts of a forest. The aim of this study was to analyze the distribution of the different compartments of the total biomass in individuals of S. terebinthifolius with 12 years planted on the Pinhais municipality, state of Paraná. Thirty trees were felled and separated in: stem, branches and leaves, and the roots were dug up to 1 meter. Samples corresponding to each compartment were collected and analyzed in laboratory to obtain the humidity content relation. Data were analyzed through a simple correlation matrix between the biomass of the compartments and total with biometric variables. In addition to biomass, diameter at 1.30 meter of soil and total height were measured. Their observed values ranged from 5.00 to 11.60 cm, with an average of 8.02 cm, and from 6.00 to 8.80 m, with a mean of 7.52 m, respectively. The dry biomass varied between 7.08 and 37.95 kg, with an average of 19.05 kg. The biomass distribution was: stem, with 51.89%, branches with 22.24%, roots with 18.33% and leaves with 7.55%. The biomass expansion factor ranged from 1.14 to 2.94, with an average of 1.65. The root ratio ranged from 0.08 to 0.27, with an average of 0.17. The biomass correlated significantly with the dia...

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Inventory of Organic Carbon in a Pterogyne nitens Tul. Plantation in Southwest Bahia, Brazil

et al. 2019

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Carbon binding capacity varies between forest plantations, mainly in terms of species and climate and soil conditions. The objective of this study was to estimate the amount of organic carbon stored in aerial tree biomass in the litter and soil of a homogeneous planting of Pterogyne nitens Tul. located in the Southwest Bahia region of Brazil. The woody biomass was obtained by destructive method. Litter collection was carried out using a wooden template (0.25 m 2 ). Soil samples were collected at four depths (0-5, 5-10, 10-20 and 20-40 cm). The carbon stored in all studied compartments totaled 47.1 Mg ha -1 with a greater contribution from the ground (31.4 t ha -1 ). The accumulated litter was the lowest carbon compartment, storing about 1.4% of the total. Among the different fractions of the biomass, the stem is the largest carbon reservoir, representing about 46% of fixed C biomass.

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Estimativa de biomassa e carbono total para árvores de caixeta no Paraná

Cited by 5 publications

References 11 publications

Allometric models to biomass in restoration areas in the Atlantic rain forest

Allometric models to biomass in restoration areas in the Atlantic rain forest

Partição Da Biomassa E Relações Biométricas De Aroeira-Pimenteira

Inventory of Organic Carbon in a Pterogyne nitens Tul. Plantation in Southwest Bahia, Brazil

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