Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

Autor: Galiana da Silveira Lindoso, Maria Cristina Felfili, Ariane A. Rodrigues, Pedro Roitman, Tamiel Khan Baiocchi Jacobson, José Roberto Rodrigues Pinto, Iris Roitman, Jeanine Maria Felfili, Ricardo Flores Haidar, Christopher William Fagg, Michael Keller, Guilherme C. Abdala, Wellington Braz Carvalho Delitti, George Eiten, Mercedes M. C. Bustamante, Jhames Matos Sampaio, Eddie Lenza, Sabrina do Couto de Miranda, Julia Z. Shimbo
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0106 biological sciences
010504 meteorology & atmospheric sciences
Biome
lcsh:Medicine
Plant Science
Forests
Atmospheric sciences
01 natural sciences
Geographical locations
Trees
Basal area
Vegetation type
Biomass
lcsh:Science
Biomass (ecology)
Multidisciplinary
Ecology
Plant Anatomy
Eukaryota
Vegetation
Plants
Wood
Terrestrial Environments
Grasslands
Seasons
Brazil
Research Article
Ecological Metrics
Soil texture
Climate Change
Biomass (Ecology)
Tree allometry
Environment
010603 evolutionary biology
Ecosystems
Ecoregion
Plant Communities
Ecosystem
0105 earth and related environmental sciences
Tropical Climate
Plant Ecology
Ecology and Environmental Sciences
lcsh:R
Organisms
Biology and Life Sciences
South America
Models
Theoretical
Earth Sciences
Environmental science
lcsh:Q
People and places
Zdroj: PLoS ONE, Vol 13, Iss 8, p e0196742 (2018)
PLoS ONE
ISSN: 1932-6203
Popis: Cerrado is the second largest biome in South America and accounted for the second largest contribution to carbon emissions in Brazil for the last 10 years, mainly due to land-use changes. It comprises approximately 2 million km2 and is divided into 22 ecoregions, based on environmental conditions and vegetation. The most dominant vegetation type is cerrado sensu stricto (cerrado ss), a savanna woodland. Quantifying variation of biomass density of this vegetation is crucial for climate change mitigation policies. Integrating remote sensing data with adequate allometric equations and field-based data sets can provide large-scale estimates of biomass. We developed individual-tree aboveground biomass (AGB) allometric models to compare different regression techniques and explanatory variables. We applied the model with the strongest fit to a comprehensive ground-based data set (77 sites, 893 plots, and 95,484 trees) to describe AGB density variation of cerrado ss. We also investigated the influence of physiographic and climatological variables on AGB density; this analysis was restricted to 68 sites because eight sites could not be classified into a specific ecoregion, and one site had no soil texture data. In addition, we developed two models to estimate plot AGB density based on plot basal area. Our data show that for individual-tree AGB models a) log-log linear models provided better estimates than nonlinear power models; b) including species as a random effect improved model fit; c) diameter at 30 cm above ground was a reliable predictor for individual-tree AGB, and although height significantly improved model fit, species wood density did not. Mean tree AGB density in cerrado ss was 22.9 tons ha-1 (95% confidence interval = ± 2.2) and varied widely between ecoregions (8.8 to 42.2 tons ha-1), within ecoregions (e.g. 4.8 to 39.5 tons ha-1), and even within sites (24.3 to 69.9 tons ha-1). Biomass density tended to be higher in sites close to the Amazon. Ecoregion explained 42% of biomass variation between the 68 sites (P < 0.01) and shows strong potential as a parameter for classifying regional biomass variation in the Cerrado.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje