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Doctoral Thesis
DOI
10.11606/T.41.2005.tde-17072008-163652
Document
Author
Full name
Déborah Moreira Burger
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2005
Supervisor
Committee
Delitti, Welington Braz Carvalho (President)
Meirelles, Sergio Tadeu
Moraes, Regina Maria de
Rodrigues, Ricardo Ribeiro
Santos, Rozely Ferreira dos
Title in Portuguese
Modelos alométricos para a estimativa da fitomassa de Mata Atlântica na Serra do Mar, SP".
Keywords in Portuguese
Alometria
Biomassa
Carbono
Estimativa de biomassa
Floresta Atlântica
Abstract in Portuguese
O objetivo deste estudo foi desenvolver e validar modelos preditores para a fitomassa epigéa da mata atlântica, formação vegetal que cobre a Serra do Mar no estado de São Paulo. Em duas parcelas de 100m2, 82 árvores foram cortadas, ao nível do solo, e anotadas suas medidas de altura e diâmetro. As folhas foram separadas dos ramos para determinação do peso fresco da porção foliar e lenhosa. Amostras de cada fração foram secas em estufa a 80o C, até peso constante, para determinação do peso seco. As árvores foram distribuídas em duas amostras aleatórias, sendo uma utilizada para o desenvolvimento das equações de regressão, e a outra para validá-las. Os modelos foram desenvolvidos através da análise de regressão linear simples e múltipla, tendo como variável dependente o peso seco (PS) e, como variáveis independentes a altura (h), o diâmetro (d) e o (d2h). A análise de validação foi feita através do coeficiente de correlação de Pearson, teste t-Sudent pareado e através do erro padrão da estimativa. As melhores equações para estimar o peso seco das árvores foram: lnPS = -4,1519 + 1,06068 ln d2h (r2=0,82; sy/x= 0,42; ricc=0,92); lnPS = -6,7171 + 1,30308 ln d2h (r2=0,88; sy/x= 0,44; ricc=0,93) e lnPS = -6,80067 + 3,77738 ln d (r2=0,92; sy/x =0,37; ricc=0,87).
Title in English
Allometric models for estimating the phytomass of the Atlantic Forest of the Serra do Mar, SP.
Keywords in English
Allometry
Atlantic Forest
Biomass
Carbon
Forest biomass estimation
Abstract in English
The purpose of this study was develop and validate equations to estimative the aboveground phytomass of the Atlantic Forest, at the Serra do Mar, São Paulo, Southeast Brazil. In two available plots of 100m2, 82 trees were cut down at ground level. From each tree height and diameter was determined. Leaves and woody material were separated in order to determine their fresh weights in field conditions. Samples of each fraction were oven dried at 80o C to constant weight to determine their dry weight. The trees data were divided into two random samples. One sample was used for the development of the regression equations, and the validation was done using other one. The models were developed using single and multiple linear regression analysis, where the dependent variable was the dry mass and the independent variables were height (h), diameter (d) and d2h. The validation was done using Pearson correlation coefficient, paired t-Student test and standard error of estimation. The best equations to estimate aboveground phytomass were: lnPS = -4,1519 + 1,06068 ln d2 h (r2=0,82; sy/x= 0,42; ricc=0,92); lnPS = -6,7171 + 1,30308 ln d2h (r2=0,88; sy/x= 0,44; ricc=0,93) and lnPS = -6,80067 + 3,77738 ln d (r2=0,92; sy/x =0,37; ricc=0,87).
 
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Publishing Date
2008-07-24
 
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