Fig 1.
Methodological steps for developing an individual-tree aboveground biomass (AGB) model for cerrado sensu stricto in the cerrado, determining regional variation of tree AGB density, and evaluating environmental factors as explanatory variables.
d = diameter, ba = basal area, v = volume, h = height, ρ = species wood density; WD = climatological water deficit; and E = environmental stress.
Fig 2.
Diameter and height distributions of trees sampled outside Brasília Botanical Garden in Brazil used to develop allometric biomass equations.
Table 1.
Allometric models to estimate individual-tree aboveground biomass of cerrado sensu stricto, based on different explanatory variables (diameter, basal area, volume, and wood density) and species as random effect.
Table 2.
Comparison of log-log linear and non-linear models for individual-tree aboveground biomass of cerrado sensu stricto in Brazil.
Table 3.
Comparison of generalized linear models (GLMs) and generalized linear mixed-effect models (GLMMs) to estimate individual-tree aboveground biomass, based on different explanatory variables (x): diameter (d), basal area (ba), volume (v), and volume · wood density (vρ).
Table 4.
Performance of model 11, back-transformed to its power-law form (y = (409.047 · v0.976) · 1.17), using the training data set (present study) and an independent validation set from Delitti et al. [17].
Table 5.
Evaluation of models 13 and 14 to estimate tree aboveground plot biomass density of cerrado sensu stricto.
Fig 3.
Tree aboveground biomass density of cerrado sensu stricto in 13 cerrado ecoregions, estimated with model 11.
Fig 4.
Tree aboveground biomass density and confidence interval of 77 cerrado sensu stricto sites, estimated with model 11.
Fig 5.
Distribution of tree aboveground biomass density of cerrado sensu stricto vegetation in cerrado (estimated with model 11), using individual-tree data from 77 sites.
Numbers indicate ecoregions: 1 = Alto Paranaíba, 2 = Araguaia Tocantins, 3 = Bananal, 4 = Bico do Papagaio, 5 = Chapadão do São Francisco, 6 = Depressão Cuiabana, 7 = Depressão do Parnaguá, 8 = Paracatu, 9 = Paraná Guimarães, 10 = Parecis, 11 = Planalto Central, 12 = São Francisco Velhas, 13 = Vão do Paranã. Delimitation of Cerrado biome and ecoregions was obtained from IBGE [59] and Arruda et al. [9], respectively.
Table 6.
Effect of environmental factors on tree aboveground biomass density of 68 cerrado sensu stricto sites in Brazil, using LR models.
Table 7.
Comparison of tree aboveground biomass models, based on destructive sampling data of the present study.