Greenhouse gas emissions and carbon sequestration by agroforestry systems in southeastern Brazil.

Agrosilvopastoral and silvopastoral systems can increase carbon sequestration, offset greenhouse gas (GHG) emissions and reduce the carbon footprint generated by animal production. The objective of this study was to estimate GHG emissions, the tree and grass aboveground biomass production and carbon storage in different agrosilvopastoral and silvopastoral systems in southeastern Brazil. The number of trees required to offset these emissions were also estimated. The GHG emissions were calculated based on pre-farm (e.g. agrochemical production, storage, and transportation), and on-farm activities (e.g. fertilization and machinery operation). Aboveground tree grass biomass and carbon storage in all systems was estimated with allometric equations. GHG emissions from the agroforestry systems ranged from 2.81 to 7.98 t CO2e ha-1. Carbon storage in the aboveground trees and grass biomass were 54.6, 11.4, 25.7 and 5.9 t C ha-1, and 3.3, 3.6, 3.8 and 3.3 t C ha-1 for systems 1, 2, 3 and 4, respectively. The number of trees necessary to offset the emissions ranged from 17 to 44 trees ha-1, which was lower than the total planted in the systems. Agroforestry systems sequester CO2 from the atmosphere and can help the GHG emission-reduction policy of the Brazilian government.

Individual tree growth models for eucalyptus in northern Brazil

The diameter and height growth model is one of three submodels used for simulating individual tree growth. In Brazil, there are few studies on the dimensional growth of individual trees be they native or exotic species, despite their potential. This study aimed to evaluate diameter and height growth models for individual trees for eucalyptus stands and to validate the best fitting model. Tree diameter and height data were obtained from 48 permanent plots of unthinned stands of Eucalyptus grandis × Eucalyptus urophylla hybrid located in northern Brazil. The evaluation of the diameter and height growth models was based on adjusted coefficient of determination, standard error of estimate as a percentage, trend, root mean square error and Akaike Information Criterion. Analysis also included distribution of residual percentage, statistical significance and signs of the coefficients. The Lundqvist-Korf model provided the most accurate estimates for diameter and height growth, in comparison with the other models, providing better statistical values, greater proximity to observed values and better distribution of residual percentages. The use of this type of model is feasible and can result in significant improvements in the accuracy of yield estimates.

Individual tree growth models for eucalyptus in northern Brazil

The diameter and height growth model is one of three submodels used for simulating individual tree growth. In Brazil, there are few studies on the dimensional growth of individual trees be they native or exotic species, despite their potential. This study aimed to evaluate diameter and height growth models for individual trees for eucalyptus stands and to validate the best fitting model. Tree diameter and height data were obtained from 48 permanent plots of unthinned stands of Eucalyptus grandis × Eucalyptus urophylla hybrid located in northern Brazil. The evaluation of the diameter and height growth models was based on adjusted coefficient of determination, standard error of estimate as a percentage, trend, root mean square error and Akaike Information Criterion. Analysis also included distribution of residual percentage, statistical significance and signs of the coefficients. The Lundqvist-Korf model provided the most accurate estimates for diameter and height growth, in comparison with the other models, providing better statistical values, greater proximity to observed values and better distribution of residual percentages. The use of this type of model is feasible and can result in significant improvements in the accuracy of yield estimates.(AU)

Equação de biomassa e estoque de carbono do pinhão manso, no município de Viçosa, MG / Biomass equation and carbon stock of jatropha crop, in Viçosa, Minas Gerais, Brazil

O presente trabalho teve como objetivo estimar equações de biomassa e o estoque de carbono da cultura do Pinhão Manso (Jatrophacurcas L.). A área estudada localiza-se no município de Viçosa, MG. O plantio foi realizado em espaçamento 3,5x3,0m, em 4,64ha. Para quantificação da biomassa, foi utilizado o método direto e destrutivo, aplicado às árvores-amostra, que foram selecionadas de acordo com as medidas da altura, do diâmetro das copas e do número de ramos. A determinação da biomassa de cada árvore foi obtida pelo método da proporcionalidade. Os modelos testados foram adaptados de Spurr e de Schumacher & Hall, para biomassa aérea e biomassa total (biomassa aérea mais biomassa de raízes pivotantes). O estoque de carbono foi estimado através da multiplicação da biomassa seca pelo teor de carbono da matéria seca, que foi obtido pelo método da calcinação em mufla. A estimativa do CO2 equivalente estocado foi obtida pela multiplicação do estoque de carbono pelo fator 44/12. A equação que obteve melhor ajuste e que foi utilizada para determinação do estoque de carbono deste estudo foi a de Spurr, com os dados de biomassa total, B=0,7601*(DC2*H)0,8949, em que B = biomassa (kg); DC = diâmetro de copa (m); e H = altura (m). O estoque de carbono encontrado da cultura, no quarto ano, foi de 6,79MgC ha-1, correspondendo a 24,89Mg CO2(eq) ha-1. Os resultados mostram que o pinhão-manso é ambientalmente viável para elaboração de projetos MDL de florestamento/reflorestamento ou em projetos de carbono para mercados voluntários, agregando renda ao produtor rural e melhorando a atratividade financeira da cultura.

This study had the objectives to estimate equations of biomass and carbon stock of Jatropha (Jatrophacurcas L.). The area of this study is located in Viçosa, Minas Gerais, planting carried out in 3.5x3.0m spacing at 4.64ha. To biomass quantification, we used the direct destructive method, applied to trees, which were selected according to the measurements of height, canopy diameter and number of branches. The tree biomass determination was obtained by the proportionality method. The adapted models were from Spurr and Schumacher & Hall, for biomass and total biomass (aboveground biomass more taproots biomass). The carbon stock was estimated multiplying the biomass by the carbon content of dry matter, which was obtained by calcination in a muffle. The estimate of the equivalent CO2 stored was obtained by multiplying the carbon stock by a factor 44/12. The equation with better model and who was used for carbon stock determination was to Spurr, using total biomass data, B=0.7601*(CD2*H)0.8949, where B = biomass (kg); CD = canopy diameter (m); e H = height (m). The carbon stock of culture, founded to the fourth year, was 6.79MgC ha-1, corresponding to 24.89MgCO2(eq) ha-1. The results shows that Jatropha is environmentally viable for development of CDM afforestation / reforestation projects or carbon projects to voluntary markets, adding income to farmers and improving the financial attractiveness of the crop.