scholarly journals Above-ground tree biomass and allometric relationships of Cinnamomum tamala grown in the western hill regions of Nepal

2013 ◽  
Vol 21 (1) ◽  
pp. 3-12 ◽  
Author(s):  
BS Poudel ◽  
SK Gautam ◽  
DN Bhandari
Keyword(s):  
Model Validation ◽  
Regression Models ◽  
Above Ground Biomass ◽  
Tree Biomass ◽  
Stem Wood ◽  
Ground Biomass ◽  
Cinnamomum Tamala ◽  
Tree Component ◽  
Best Fit ◽  
Branch Wood

Biomass regression models are presented describing total above-ground biomass, stem wood, branch wood, foliage and bark production for Tejpat (Cinnamomum tamala), a multipurpose tree which is found abundantly distributed and grown in western hill districts of Nepal. A total of 56 Tejpat trees between 6.2 and 16.5 cm diameter at breast height (DBH) from farmers’ farmland and marginal land in Arghakhanchi, Gulmi and Palpa districts were sampled and harvested. Mean fresh weight of total above-ground biomass, stem wood, branch wood, foliage and bark was 77.03, 36.39, 15.16, 17.53 and 8.2 kg tree -1, respectively. Allocation of biomass was more in stem (47.24% tree-1) than in foliage (22.75% tree-1), branch (19.69% tree-1) and bark (10.31% tree-1). Weight of tree component was estimated as a function of DBH. After removal of the outliers, data were randomly divided into two datasets: 70% for model calibration and another 30% for model validation. Correlation analysis showed positive stronger linear relationship between DBH and biomass. Five regression models (linear, logarithmic, quadratic, power and exponential) were developed. All models were statistically significant, with R2 ranging from 0.64 to 0.83. Model validation was based on root mean square error (RMSE). RMSE percentage for the best-fit equation varied between 16.64% and 44.82%. Linear model resulted in the least error and was selected as the best-fit model for prediction of biomass of bark, foliage, branch, stem and total above ground tree biomass. Biomass models developed could be applied to obtain biomass of different tree components of Tejpat grown in the study area and could even be applied to other areas which have similar conditions; but it should be validated before using them in new sites and conditions. DOI: http://dx.doi.org/10.3126/banko.v21i1.9058 Banko Janakari, Vol. 21, No. 1 2011; 3-12

Above-Ground Biomass of a Mixed Eucalypt Forest in Eastern Victoria

1979 ◽  
Vol 27 (6) ◽  
pp. 725 ◽  
Author(s):  
HTL Stewart ◽  
DW Flinn ◽  
BC Aeberli
Keyword(s):  
Dry Weight ◽  
Stem Bark ◽  
Above Ground Biomass ◽  
Understorey Vegetation ◽  
Stem Wood ◽  
Ground Biomass ◽  
Eucalypt Forest ◽  
Sclerophyll Forest ◽  
Tree Component ◽  
Branch Wood

Eleven trees of Eucalyptus muellerana and 10 trees both of E. agglomerata and of E. sieberi growing in an uneven-aged mixed sclerophyll forest on duplex granitoid soils in eastern Victoria were felled, measured. separated into branch and stem components, sampled and weighed. Understorey vegetation and litter were also sampled for dry weight determination. Both linear and allometric regressions were developed for each species to predict branch and stem component dry weights from branch and tree dimensions. The predicted component weights for all branches on each tree were summed to estimate crown component dry weights, and regressions were then fitted for these crown component dry weights as functions of tree dimensions. Land area estimates of above-ground tree biomass were made by measuring tree diameters on sample plots. applying the appropriate regressions relating stem and crown component dry weights to tree diameter, and summing the predicted weights for each plot. The above-ground biomass of the forest ecosystem. which had a tree density of 123 stems per ha, was estimated to be 344.100 kg ha-1 of which 94.6% was in the forest overstorey. The proportions of each tree component in the overstorey were stem wood 60.1%, stem bark 15.8%. branch wood 16.5%, branch bark 3.9%, twigs 2.0%, and leaves 1.7%.

scholarly journals MICRONUTRIENTES DA BIOMASSA AÉREA DE BRACATINGA SOB DIFERENTES CLASSES DE SÍTIO, IDADE E DIÂMETRO

FLORESTA ◽  
2010 ◽  
Vol 40 (4) ◽  
Author(s):  
Saulo Jorge Téo ◽  
Sebastião Do Amaral Machado ◽  
Carlos Bruno Reissmann ◽  
Afonso Figueiredo Filho
Keyword(s):  
Statistical Design ◽  
Dry Weight ◽  
Metropolitan Region ◽  
Above Ground Biomass ◽  
Stem Wood ◽  
Ground Biomass ◽  
Field Samples ◽  
Micronutrient Concentration ◽  
Tree Component ◽  
Diameter Classes

Esta pesquisa teve como objetivo quantificar e analisar as concentrações e conteúdos de micronutrientes da biomassa aérea de bracatinga sob diferentes classes de sítio, idade e diâmetro, na região metropolitana de Curitiba, Estado do Paraná. Foram amostradas 25 árvores em diversas localidades da área de estudo, as quais foram separadas nos seguintes compartimentos da biomassa: folhas, galhos < 4 cm, galhos ≥ 4 cm, madeira e casca do fuste. Após o levantamento de biomassa no campo, amostras foram levadas para o laboratório para a determinação do peso da massa seca e dos micronutrientes. As árvores foram agrupadas por classe de sítio, de idade e de diâmetro, as quais constituíram os tratamentos de um delineamento estatístico inteiramente casualizado. De acordo com os resultados, as concentrações de micronutrientes assumiram a seguinte ordem decrescente: Mn > Fe > Cu > Zn. O compartimento da biomassa aérea que apresentou as maiores quantidades de micronutrientes foi a madeira. As concentrações de micronutrientes não apresentaram tendências claras de aumento ou diminuição com nenhum dos fatores analisados. Somente os diâmetros exerceram efeitos significativos e consistentes sobre os conteúdos de micronutrientes da biomassa aérea de bracatinga na região metropolitana de Curitiba.Palavras-chave: Mimosa scabrella; nutrientes; ciclagem de nutrientes; biomassa. AbstractMicronutrients of above-ground bracatinga biomass under different sites, ages and diameter classes.The aims of this research were to quantify and analyze the micronutrient concentration and content of Mimosa scabrella above-ground biomass under different sites, ages and diameter classes, in Curitiba metropolitan region, Paraná State, Brazil. Twenty five trees were sampled in several localities of the study area, which were separated in different biomass components, as follow: leaves, twigs, branches, stem wood and bark. After the biomass survey in the field, samples of each tree component were carried out to the laboratory for dry weight and micronutrient determination. The trees were grouped by site, age and diameter classes, which constituted the treatments of a completely random statistical design. According to the results, the micronutrient concentrations assumed a decreasing order as follow: Mn > Fe > Cu > Zn. The stem wood presented the highest quantity of micronutrient, considering the tree above-ground biomass. The micronutrient concentrations didn’t present clear tendencies according to site, age and diameter classes. Only the diameter classes had exerted significant and coherent effects on the micronutrient contents of the studied species.Keywords: Mimosa scabrella; nutrients; nutrient cycling; biomass.

Using photography to estimate above-ground biomass of small trees

2020 ◽  
pp. 1-7
Author(s):  
Brandon R. Hays ◽  
Corinna Riginos ◽  
Todd M. Palmer ◽  
Benard C. Gituku ◽  
Jacob R. Goheen
Keyword(s):  
Cost Effective ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Tree Biomass ◽  
East African ◽  
Ground Biomass ◽  
Herbivore Exclusion ◽  
Significant Difference ◽  
Allometric Relation

Abstract Quantifying tree biomass is an important research and management goal across many disciplines. For species that exhibit predictable relationships between structural metrics (e.g. diameter, height, crown breadth) and total weight, allometric calculations produce accurate estimates of above-ground biomass. However, such methods may be insufficient where inter-individual variation is large relative to individual biomass and is itself of interest (for example, variation due to herbivory). In an East African savanna bushland, we analysed photographs of small (<5 m) trees from perpendicular angles and fixed distances to estimate above-ground biomass. Pixel area of trees in photos and diameter were more strongly related to measured, above-ground biomass of destructively sampled trees than biomass estimated using a published allometric relation based on diameter alone (R2 = 0.86 versus R2 = 0.68). When tested on trees in herbivore-exclusion plots versus unfenced (open) plots, our predictive equation based on photos confirmed higher above-ground biomass in the exclusion plots than in unfenced (open) plots (P < 0.001), in contrast to no significant difference based on the allometric equation (P = 0.43). As such, our new technique based on photographs offers an accurate and cost-effective complement to existing methods for tree biomass estimation at small scales with potential application across a wide variety of settings.

scholarly journals Estimation of above-ground biomass in forest stands from regression on their basal area and height

2016 ◽  
Vol 64 (1) ◽  
pp. 70-92 ◽  
Author(s):  
Mait Lang ◽  
Ando Lilleleht ◽  
Mathias Neumann ◽  
Karol Bronisz ◽  
Samir G. Rolim ◽  
...  
Keyword(s):  
Regression Models ◽  
Measurement Data ◽  
Basal Area ◽  
Growth Conditions ◽  
Repeated Measurements ◽  
Carbon Accounting ◽  
Published Data ◽  
Above Ground Biomass ◽  
Forest Stands ◽  
Ground Biomass

Abstract A generic regression model for above-ground biomass of forest stands was constructed based on published data (R2 = 0.88, RSE = 32.8 t/ha). The model was used 1) to verify two allometric regression models of trees from Scandinavia applied to repeated measurements of 275 sample plots from database of Estonian Network of Forest Research (FGN) in Estonia, 2) to analyse impact of between-tree competition on biomass, and 3) compare biomass estimates made with different European biomass models applied on standardized forest structures. The model was verified with biomass measurements from hemiboreal and tropical forests. The analysis of two Scandinavian models showed that older allometric regression models may give biased estimates due to changed growth conditions. More biomass can be stored in forest stands where competition between trees is stronger. The tree biomass calculation methods used in different countries have also substantial influence on the estimates at stand-level. A common database of forest biomass measurements from Europe in similar to pan-tropical tree measurement data may be helpful to harmonise carbon accounting methods.

scholarly journals Evaluation of regression models for above-ground biomass determination in Amazon rainforest

1994 ◽  
Vol 10 (2) ◽  
pp. 207-218 ◽  
Author(s):  
Johannes Petrus Maria Overman ◽  
Hendrik Johannes Louis Witte ◽  
Juan Guillermo Saldarriaga
Keyword(s):  
Regression Models ◽  
Ground Level ◽  
Dry Weight ◽  
Regression Coefficients ◽  
Above Ground Biomass ◽  
Terra Firme ◽  
Independent Variables ◽  
Ground Biomass ◽  
Random Manner ◽  
Biomass Determination

ABSTRACTIn a mature lowland ‘terra firme’ forest near Araracuara in Colombia, a study was conducted to determine the above-ground biomass by means of regression analysis. Dry weight, DBH (i.e. stem diameter at 1.3 m above ground level, or just above buttresses if these surpassed 1.3 m in height), total height and specific wood density were measured on 54 harvested trees, chosen in a ‘selected random’ manner. Nine different regression models were evaluated for statistical correctness, accuracy of the estimates and for practical use. The logarithmically transformed models with DBH2, and DBH2 × height as independent variables appeared to be the only models meeting the above criteria, the latter being the most accurate.The exclusion of big trees (DBH >45 cm) from the regression did not result in significant changes of the regression coefficients.

scholarly journals Energy Stored in Above-Ground Biomass Fractions and Model Trees of the Main Coniferous Woody Plants

2021 ◽  
Vol 13 (22) ◽  
pp. 12686
Author(s):  
Rudolf Petráš ◽  
Julian Mecko ◽  
Ján Kukla ◽  
Margita Kuklová ◽  
Danica Krupová ◽  
...  
Keyword(s):  
Woody Plants ◽  
Abies Alba ◽  
Biomass Combustion ◽  
Sampling Point ◽  
Above Ground Biomass ◽  
Tree Biomass ◽  
Model Trees ◽  
Ground Biomass ◽  
Volume Production ◽  
Small Wood

The paper considers energy stored in above-ground biomass fractions and in model trees of the main coniferous woody plants (Picea abies (L.) H. Karst., Abies alba Mill., Pinus sylvestris (L.), Larix decidua Mill.), sampled in 22 forest stands selected in different parts of Slovakia. A total of 43 trees were felled, of which there were 12 spruces, 11 firs, 10 pines, and 10 larches. Gross and net calorific values were determined in samples of wood, bark, small-wood, twigs, and needles. Our results show that these values significantly depend on the tree species, biomass fractions, and sampling point on the tree. The energy stored in the model trees calculated on the basis of volume production taken from yield tables increases as follows: spruce < fir < pine < larch. Combustion of tree biomass releases an aliquot amount of a greenhouse gas—CO2, as well as an important plant nutrient, nitrogen—into the atmosphere. The obtained data must be taken into account in the case of the economic utilization of energy stored in the fractions of above-ground tree biomass and in whole trees. The achieved data can be used to assess forest ecosystems in terms of the flow of solar energy, its accumulation in the various components of tree biomass, and the risk of biomass combustion in relation to the release of greenhouse gases.

scholarly journals Allometric Equations for Estimation of Biomass and Carbon Stocks in Temperate Forests of North-Western Mexico

2017 ◽  
Author(s):  
Benedicto Vargas-Larreta ◽  
Carlos Antonio López-Sánchez ◽  
José Javier Corral-Rivas ◽  
Jorge Omar López-Martínez ◽  
Cristóbal Gerardo Aguirre-Calderón ◽  
...  
Keyword(s):  
Temperate Forests ◽  
Generalized Method Of Moments ◽  
Stem Bark ◽  
Machine Learning Techniques ◽  
Above Ground Biomass ◽  
Data Set ◽  
Stem Wood ◽  
Ground Biomass ◽  
Biomass Components ◽  
Northwestern Mexico

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.

ESTIMATION OF ABOVE GROUND BIOMASS OF THE THREE SITES (GRAZED SITE, PROTECTED SITE AND SEED SOWN SITE) FOR COMPARING THEIR PRODUCTIVITY IN KASHMIR VALLEY

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
AFSHAN ANJUM BABA ◽  
SYED NASEEM UL-ZAFAR GEELANI ◽  
ISHRAT SALEEM ◽  
MOHIT HUSAIN ◽  
PERVEZ AHMAD KHAN ◽  
...  
Keyword(s):  
Protected Areas ◽  
Aboveground Biomass ◽  
Plant Biomass ◽  
Summer Season ◽  
Above Ground Biomass ◽  
Spring Season ◽  
Kashmir Valley ◽  
Ground Biomass ◽  
Maximum Value ◽  
Protected Site

The plant biomass for protected areas was maximum in summer (1221.56 g/m2) and minimum in winter (290.62 g/m2) as against grazed areas having maximum value 590.81 g/m2 in autumn and minimum 183.75 g/m2 in winter. Study revealed that at Protected site (Kanidajan) the above ground biomass ranged was from a minimum (1.11 t ha-1) in the spring season to a maximum (4.58 t ha-1) in the summer season while at Grazed site (Yousmarag), the aboveground biomass varied from a minimum (0.54 t ha-1) in the spring season to a maximum of 1.48 t ha-1 in summer seasonandat Seed sown site (Badipora), the lowest value of aboveground biomass obtained was 4.46 t ha-1 in spring while as the highest (7.98 t ha-1) was obtained in summer.

scholarly journals The climatic imprint of bimodal distributions in vegetation cover for western Africa

2016 ◽  
Vol 13 (11) ◽  
pp. 3343-3357 ◽  
Author(s):  
Zun Yin ◽  
Stefan C. Dekker ◽  
Bart J. J. M. van den Hurk ◽  
Henk A. Dijkstra
Keyword(s):  
Land Cover ◽  
Congo Basin ◽  
Shortwave Radiation ◽  
Mean Annual Precipitation ◽  
Above Ground Biomass ◽  
Precipitation Regime ◽  
Ground Biomass ◽  
Western Africa ◽  
Precipitation Regimes ◽  
Woody Cover

Abstract. Observed bimodal distributions of woody cover in western Africa provide evidence that alternative ecosystem states may exist under the same precipitation regimes. In this study, we show that bimodality can also be observed in mean annual shortwave radiation and above-ground biomass, which might closely relate to woody cover due to vegetation–climate interactions. Thus we expect that use of radiation and above-ground biomass enables us to distinguish the two modes of woody cover. However, through conditional histogram analysis, we find that the bimodality of woody cover still can exist under conditions of low mean annual shortwave radiation and low above-ground biomass. It suggests that this specific condition might play a key role in critical transitions between the two modes, while under other conditions no bimodality was found. Based on a land cover map in which anthropogenic land use was removed, six climatic indicators that represent water, energy, climate seasonality and water–radiation coupling are analysed to investigate the coexistence of these indicators with specific land cover types. From this analysis we find that the mean annual precipitation is not sufficient to predict potential land cover change. Indicators of climate seasonality are strongly related to the observed land cover type. However, these indicators cannot predict a stable forest state under the observed climatic conditions, in contrast to observed forest states. A new indicator (the normalized difference of precipitation) successfully expresses the stability of the precipitation regime and can improve the prediction accuracy of forest states. Next we evaluate land cover predictions based on different combinations of climatic indicators. Regions with high potential of land cover transitions are revealed. The results suggest that the tropical forest in the Congo basin may be unstable and shows the possibility of decreasing significantly. An increase in the area covered by savanna and grass is possible, which coincides with the observed regreening of the Sahara.

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