Biomass models for three species with different growth forms and geographic distribution in the Brazilian Atlantic forest
- 1 October 2021
- journal article
- research article
- Published by Canadian Science Publishing in Canadian Journal of Forest Research
- Vol. 51 (10), 1419-1431
- https://doi.org/10.1139/cjfr-2020-0215
Abstract
Allometric models embedding independent variables such as diameter at breast height (d) and total height (h) are useful tools to predict the biomass of individual trees. Models for tropical forests are often constructed based on datasets composed of species with different morphological features and architectural models. It is reasonable to expect, however, that species-specific models may reduce uncertainties in biomass predictions, especially for palms, tree ferns, and trees with peculiar morphological features, such as stilt roots and hollow trunks. In this sense, three species with wide geographical distribution in the Brazilian Atlantic Forest were sampled, namely Euterpe edulis Mart., Cyathea delgadii Sternb., and Cecropia glaziovii Snethl., with the aim to (i) quantify their aboveground biomass (AGB), (ii) evaluate the AGB distribution in different plant compartments, (iii) fit species-specific models for predicting AGB at the individual level, and (iv) assess the performance of specific and generic models available in the literature to predict the AGB of individuals of these species. The compartment stem represented, on average, ∼74% of the total AGB of E. edulis individuals; in turn, the caudex compartment of C. delgadii represented, on average, ∼87% of the total AGB, while the trunk compartment of C. glaziovii represented, on average, ∼74%. Among the fitted models, the power model showed the best performance for E. edulis and C. delgadii. In turn, the asymptotic logistic model , where dc is the diameter above the upper stilt root, presented the best performance for C. glaziovii. The variable h appeared as the most important predictor of AGB of E. edulis and C. delgadii; in contrast, the stem and caudex mean basic specific gravities were not suitable predictors. The fitted species-specific models outperformed the specific and generic models selected from the literature. They may, therefore, contribute to the reduction of uncertainties in AGB estimates. In addition, the results support evidence that specific models may be necessary for species with different growth forms and (or) peculiar morphological features, especially those with great abundance and wide geographic distribution.Keywords
This publication has 48 references indexed in Scilit:
- Error propagation in biomass estimation in tropical forestsMethods in Ecology and Evolution, 2012
- Tree height integrated into pantropical forest biomass estimatesBiogeosciences (online), 2012
- Benchmark map of forest carbon stocks in tropical regions across three continentsProceedings of the National Academy of Sciences of the United States of America, 2011
- Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of AfricaForest Ecology and Management, 2010
- Forest structure and live aboveground biomass variation along an elevational gradient of tropical Atlantic moist forest (Brazil)Forest Ecology and Management, 2010
- Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forestsForest Ecology and Management, 2009
- Variation in aboveground tree live biomass in a central Amazonian Forest: Effects of soil and topographyForest Ecology and Management, 2006
- Landscape-scale variation in forest structure and biomass in a tropical rain forestForest Ecology and Management, 2000
- Allometric regressions for improved estimate of secondary forest biomass in the central AmazonForest Ecology and Management, 1999
- Mechanical Structure of the Stem of Arborescent PalmsBotanical Gazette, 1987