Chemical composition and gross calorific value of the above-ground biomass components of youngPicea abies

2004 ◽  
Vol 19 (1) ◽  
pp. 72-81 ◽  
Author(s):  
Christofer Rhén
2016 ◽  
Vol 46 (11) ◽  
pp. 1963-1968 ◽  
Author(s):  
Ailton Leonel Balduino Junior ◽  
Thalles Yurgen Balduino ◽  
Gustavo Friederichs ◽  
Alexsandro Bayestorff da Cunha ◽  
Martha Andreia Brand

ABSTRACT: This study aimed to determine the energetic quality of the Bambusa vulgaris culms for combustion (in natura) and as a charcoal. Five individuals (culms) of Bambusa vulgaris of 3 years of age were analyzed, gathered in the city of Florianópolis, Santa Catarina. In the in natura culms it was determined the moisture content freshly gathered (39%); basic density (0.624gcm-3); the chemical composition (total extractive content (16.26%) and lignin content (25.76%)); the proximate chemical composition (volatiles content (82.25%); fixed carbon content (15.26%) and ash (2.49%)) and gross calorific value (4571kcalkg-1). In the charcoal, produced in the laboratory, the determined properties were the gravimetric yield (36.40%);the apparent density (0.372gcm-3); volatiles content (27.55%); fixed carbon content (67.32%); ash (5.12%) and gross calorific value (7431kcalkg-1). The Bambusa vulgaris species has potential for use in the energy generation either in natura, as chips for burning in boilers or in the charcoal form for domestic use, it can be used to broaden the base of biomass for energy generation and to replace the timber species of Pinus and Eucalyptus gender used for this purpose in the Southern region of Brazil.


2015 ◽  
Vol 12 (2) ◽  
pp. 44-46
Author(s):  
Rudolf Petráš ◽  
Julian Mecko ◽  
Viera Petrášová

Abstract Poplar clones reach a big advantage over other forest tree species in the production of large amounts of above-ground biomass in a relatively short time. To increase the efficiency of production during their short life cycle, it is necessary to optimize age of their felling maturity. It should be carried out in the stands age when its average production is highest. Mathematical models of yield tables were used to derive this production. Above-ground biomass production was expressed in natural units, volume (m3 ha−1) and the capacity of calorific value (GJ ha−1), but also in financial yield (€ ha−1) from the sale of timber assortments including energy chips from smallwood. In terms of financial yield, Robusta stands are mature between 23 and 35 years and I-214 stands between 18 and 32 years. Main financial yield per year, on average 200–1900 € ha−1, is expected from the production of assortments designed for classic industrial processing. Its increase by 50 to 100 € ha−1 is expected to be achieved by supplemental smallwood processing to energy chips. In terms of volume production and capacity of combustion heat, stands are mature about 5–7 years earlier.


2014 ◽  
Vol 23 (6) ◽  
pp. 872 ◽  
Author(s):  
Elena A. Kukavskaya ◽  
Galina A. Ivanova ◽  
Susan G. Conard ◽  
Douglas J. McRae ◽  
Valery A. Ivanov

In 2000–2002 nine 4-ha prescribed fires of various severities were conducted on experimental plots in mature Scots pine forest in the central Siberian taiga, Russia. Total above-ground living biomass decreased after low- and moderate-severity fires by 10 and 15%, whereas high-severity fire reduced living above-ground biomass by 83%. We monitored changes in fuel structure and biomass for 6–8 years following these fires. By 6–8 years after burning the ground fuel loading had recovered to 101, 96 and 82% of pre-fire levels after fires of low-, moderate- and high-severity. Down woody fuel loading increased by 0.18±0.04kgm–2year–1. We developed regressions relating time since fire to changes in above-ground biomass components for fires of different severity for feather moss–lichen Scots pine forest of Siberia. Our results demonstrate the importance of both burn severity and composition of pre-fire surface vegetation in determining rates and patterns of post-fire vegetation recovery on dry Scots pine sites in central Siberia.


Forests ◽  
2013 ◽  
Vol 4 (4) ◽  
pp. 984-1002 ◽  
Author(s):  
Qisheng He ◽  
Erxue Chen ◽  
Ru An ◽  
Yong Li

2018 ◽  
Vol 60 (3) ◽  
pp. 137-142
Author(s):  
Assel R. Tumenbayeva ◽  
Dani N. Sarsekova ◽  
Stanisław Małek

Abstract The article presents the results of research in the pine plantations located in the green belt of the city of Astana, the dry steppe zone of Northern Kazakhstan, and in the research, the data on biomass and carbon content in various fractions of Scots pine were obtained. Assessment of morphometric parameters of the pine stands was carried out by measuring tree height and trunk diameter at breast height (DBH); to determine the carbon content, laboratory analytical methods were used. Samples were taken from each element of biomass (branches, trunk, leaves, and bark) of Scots pine, in triplicate. After that, the green mass was weighed on the analytical scales to within 0.001 g. The samples were then dried to a constant weight at a temperature of 65°C. In laboratory samples without mineralization, the content of carbon was determined using element analyser. Regression equations were used to calculate the biomass of stocks. To measure the taxation indicators and sampling of plantations, trial plots were laid in triplicate for trial plots, the height of plantations varied on average from 5.8 m to 8.4 m on the plotted trial plots, and the diameter of the trunk varied from 7.7 cm to 8.8 cm. The correlation between plant height and stem diameter was 0.745. As the studies of chemical composition in needles, bark, trunk and branches of pine trees showed, the amount of carbon was from 50.03 to 51.33%. Thus, the study of the chemical composition of the pine plantations showed that the greatest content of chemical elements, such as carbon, was in tree needles. The accumulation plantations of Pinus sylvestris L. in the green belt of the city of Astana were sequestrated 973.3 tons of carbon in the above-ground biomass varied from 2.9 to 4.8 t/ha.


2013 ◽  
Vol 10 (2) ◽  
pp. 51-54
Author(s):  
Rudolf Petráš ◽  
Julian Mecko ◽  
Viera Petrášová

Abstract Calorific value production from the above-ground biomass of stands was derived from its volume production. The mathematical models of growth tables of I-214 and Robusta poplar clones, biomass density values and calorific values of biomass dry matter were used for its calculation. At the stands aged 35 years and site indices of 20, 30 and 40, the calorific value has approximately 2.700, 6.000 and 9.300 GJ.ha-1 respectively. The I-214 clone has higher production than Robusta in the first half of its growth, albeit with minimum differences. The annual increments of calorific value culminate about the age of 9-13 years with values of 450-115 GJ.ha-1. Mean annual production of both clones culminates at the age of 17-26 years with values of 320-80 GJ.ha-1. Lowland forest locations with high level of ground water in Slovakia with the total area of 25.600 ha are most suitable for poplars production. On this area, we can assume the mean annual production of 3.566 TJ of gross calorific value obtained from above-ground biomass in the future. From that, about 64% is in wood, 14% in bark and 22% in small-wood. Up to 85% of this production potential is situated in the area of The Danube Lowland and the rest is mainly in southern areas of the Central and Eastern Slovakia.


Author(s):  
Benedicto Vargas-Larreta ◽  
Carlos Antonio López-Sánchez ◽  
José Javier Corral-Rivas ◽  
Jorge Omar López-Martínez ◽  
Cristóbal Gerardo Aguirre-Calderón ◽  
...  

This paper presents new above-ground biomass (AGB) and biomass components equations for seventeen forest species in the temperate forests of northwestern Mexico. A data set corresponding to 1336 destructively sampled oak and pine trees was used to fit the models. Generalized method of moments was used to simultaneously fit systems of equations for biomass components and AGB, to ensure additivity. Additionally, the carbon content of each tree component was calculated by the dry combustion method, in a TOC analyser. The fitted equations accounted for on average 91, 83, 84 and 78% of the observed variance in stem wood and stem bark, branch and foliage biomass, respectively, whereas the total AGB equations explained on average 93% of the total observed variance in AGB. The inclusion of h or d2h as additional predictor in the d-only based equations systems slightly improved estimates of stem wood, stem bark and total above-ground biomass, and greatly improved the estimates produced by the branch and foliage biomass equations. The fitted equations were used to estimate AGB stocks at stand level from a database on growing stock from 429 permanent sampling plots. Three machine-learning techniques were used to model the estimated stand level AGB and carbon contents; the selected models were applied to map the AGB and carbon distributions in the study area, which yielded mean values of 129.84 Mg ha-1 and 63.80 Mg ha-1, respectively.


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