Résumé
ABSTRACT Dry tropical forests are a key component in the global carbon cycle and their biomass estimates depend almost exclusively of fitted equations for multi-species or individual species data. Therefore, a systematic evaluation of statistical models through validation of estimates of aboveground biomass stocks is justifiable. In this study was analyzed the capacity of generic and specific equations obtained from different locations in Mexico and Brazil, to estimate aboveground biomass at multi-species levels and for four different species. Generic equations developed in Mexico and Brazil performed better in estimating tree biomass for multi-species data. For Poincianella bracteosa and Mimosa ophthalmocentra, only the Sampaio and Silva (2005) generic equation was the most recommended. These equations indicate lower tendency and lower bias, and biomass estimates for these equations are similar. For the species Mimosa tenuiflora, Aspidosperma pyrifolium and for the genus Croton the specific regional equations are more recommended, although the generic equation of Sampaio and Silva (2005) is not discarded for biomass estimates. Models considering gender, families, successional groups, climatic variables and wood specific gravity should be adjusted, tested and the resulting equations should be validated at both local and regional levels as well as on the scales of tropics with dry forest dominance.
Sujets)
Forêts , Biomasse , Climat tropical , Brésil , Surveillance de l'environnement , Modèles statistiques , MexiqueRésumé
The objective of this work was to evaluate the distribution of biomass in compartments, as well as to test and select methods to estimate total biomass for species of Bambusa. For the test of the methods were evaluated: method of estimation from allometric models (total and by compartments), application of allometric equation from literature and method that uses the volume, the density and biomass expansion factor (BEF). Were evaluated using the destructive method, 24 bamboos of the species Bambusa oldhamii Munro and Bambusa vulgaris Schrad. ex J. C. Wendl. For the estimation of biomass, were adjusted 5 models for the selection of the best one and the BEF calculated through the values of volume and density. These methodologies were compared among themselves and with the real biomass. The relationship of increased strength of independent variables with dried biomass measured was with dbh. In the adjustment of mathematical models, the best model was the 5 for the total biomass, model 1 for leaf and culm, and the model 3 for the limb. Of the three methodologies for estimating total biomass, the method of Biomass Expansion Factor demonstrated greater accuracy in estimates, being indicated, therefore, the potential use of this methodology.
Esse trabalho tem como objetivo avaliar a distribuição da biomassa nos compartimentos, bem como, testar e selecionar métodos para estimativa de biomassa total para o gênero Bambusa. Para o teste dos métodos foram avaliados: método da estimativa a partir de modelos alométricos, aplicação de equação alométrica obtida por literatura e método que utiliza o volume, a densidade e o fator de expansão da biomassa (FEB). Foram avaliados, utilizando o método destrutivo, 24 bambus das espécies Bambusa oldhamii Munro e Bambusa vulgaris Schrad. ex J. C. Wendl. Para a estimativa de biomassa, foram ajustados 5 modelos para a seleção do melhor e calculado o FEB através dos valores de volume e densidade, metodologias estas comparadas entre si e com a biomassa real. A relação de maior força das variáveis independentes com as biomassas secas mensuradas se deu com o dap. No ajuste dos modelos matemáticos, o melhor modelo foi o 5 para o compartimento total, modelo 1 para folhagem e colmo, e o modelo 3 para os galhos. Das três metodologias de estimativa da biomassa total, o método do Fator de Expansão da Biomassa demonstrou maior acurácia nas estimativas, sendo indicada, portanto, a potencial utilização dessa metodologia.