Allometric Biomass, Biomass Expansion Factor and Wood Density Models for the OP42 Hybrid Poplar in Southern Scandinavia

2015 ◽  
Vol 8 (3) ◽  
pp. 1332-1343 ◽  
Author(s):  
Anders Taeroe ◽  
Thomas Nord-Larsen ◽  
Inge Stupak ◽  
Karsten Raulund-Rasmussen
Keyword(s):  
Wood Density ◽  
Hybrid Poplar ◽  
Expansion Factor ◽  
Biomass Expansion Factor ◽  
Southern Scandinavia

scholarly journals Contribution of some Savannah tree species in carbon sequestration

2021 ◽  
pp. 69-82
Keyword(s):  
Carbon Sequestration ◽  
Wood Density ◽  
Carbon Stock ◽  
Tree Height ◽  
Expansion Factor ◽  
Wood Volume ◽  
Biomass Expansion Factor ◽  
Diameter At Breast Height ◽  
Crown Diameter ◽  
Breast Height

Improvements in above ground biomass estimation can help account for changes in carbon stock in forest areas that may potentially participate in the clean development mechanism. The main objective of this study was to assess potential of some selected forest variables for modeling carbon sequestration for Combretum hartmannianum, Terminalia brownii, and Lanea fruitcosa. A total of 10 sample trees for Lanea fruitcosa and 8 sample trees for each of the other two species were selected for biomass and carbon determination were selected from El Nour Natural Forest Reserve of the Blue Nile State, Sudan. Data of diameter at breast height, total tree height, tree crown diameter, crown height, and upper stem diameters were measured. Then sample trees were felled and sectioned to their components and weighed. Subsamples were selected from each component for oven drying at 105 ˚C. Finally, allometric models were developed and the aboveground dry weight (dwt) and carbon sequestered per hector were calculated. The results presented biomass equations, biomass expansion factor and wood density that developed for the trees. In case of inventoried wood volume, corrections for biomass expansion factor and wood density value were done, and new values are suggested for use to convert wood volume to biomass estimates. The results also, indicate that diameter at breast height, crown diameter and tree height are good predictors for estimation of tree dwt and carbon stock. The developed allometric equations in this study gave better estimation of dwt than default value. The average carbon stock was found to be 22.57 t/ha.

scholarly journals Contribution of some Acacia Species on Carbon Sequestration in Blue Nile State, Sudan

2021 ◽  
pp. 97-105
Keyword(s):  
Carbon Sequestration ◽  
Wood Density ◽  
Carbon Stock ◽  
Tree Height ◽  
Biomass Estimation ◽  
Expansion Factor ◽  
Wood Volume ◽  
Crown Diameter ◽  
Breast Height ◽  
Acacia Seyal

Background: The current challenge is to reduce the uncertainties in obtaining accurate and reliable data of carbon stock changes and emission factors essential for reporting national inventories. Improvements in above ground biomass estimation can also help account for changes in carbon stock in forest areas that may potentially participate in the Reducing emissions from deforestation and forest degradation and other initiatives. Current objectives for such estimates need a unified approach which can be measurable, reportable, and verifiable. This might result to a geographically referenced biomass density database for Sudanese forests that would reduce uncertainties in estimating forest aboveground biomass. The main objective: of this study is to assess potential of some selected forest variables for modeling carbon sequestration for Acacia seyal, vr. Seyal, Acacia seyal, vr. fistula, Acacia Senegal. The specific objectives include development of empirical allometric models for forest biomass estimation, estimation of carbon sequestration for these tree species, estimation of carbon sequestration per hectare and comparing the amount with that reported to the region. A total of 10 sample trees for biomass and carbon determination were selected for each of the three species from El Nour Natural Forest Reserve of the Blue Nile State, Sudan. Data of diameter at breast height, total tree height, tree crown diameter, crown height, and upper stem diameters were measured. Then sample trees were felled and sectioned to their components, and weighed. Subsamples were selected from each component for oven drying at 105 ˚C. Finally allometric models were developed and the aboveground dry weight (dwt) and carbon sequestered per hector were calculated. The results: presents biomass equations, biomass expansion factor and wood density that developed for the trees. In case of inventoried wood volume, corrections for biomass expansion factor and wood density value were done, and new values are suggested for use to convert wood volume to biomass estimates. The results also, indicate that diameter at breast height, crown diameter and tree height are good predictors for estimation of tree dwt and carbon stock. Conclusion: The developed allometric equations in this study gave better estimation of dwt than default value. The average carbon stock was found to be 22.57 t/ha.

Assessment of Biomass Expansion Factor (BEF) and Root-to-shoot Ratio (R) for some Tree Species of Uttarakhand, India

2014 ◽  
Vol 37 (4) ◽  
pp. 371-377
Author(s):  
Laxmi Rawat ◽  
Pramod Kumar ◽  
Nishita Giri
Keyword(s):  
Tree Species ◽  
Tectona Grandis ◽  
Expansion Factor ◽  
Pinus Roxburghii ◽  
Biomass Expansion Factor ◽  
Shorea Robusta ◽  
Shoot Ratio ◽  
Harvesting Method ◽  
Root To Shoot Ratio ◽  
Age Series

The present study was conducted in Shorea robusta (sal), Pinus roxburghii (Chir pine), Tectona grandis (Teak) and Ailanthus excelsa (Ardu) plantations of different ages at different sites in Uttarakhand. Biomass was calculated on the basis of complete tree harvesting method (stratified mean tree technique method). Biomass Expansion Factor (BEF) and root-to-shoot ratio (R) of all these 4 tree species have been calculated and presented in this paper. Sample trees of S. robusta were of 45, 53 and 60 years of age. BEF for all these 3 age series were assessed as 1.3 at 45 years, 1.4 at 53 years and 1.2 at 60 years of age. Similarly, R values were assessed as 0.27, 0.28 and 0.26, respectively, in these 3 age series. BEF and R values assessed for T. grandis (28 years age) as 1.46 and 0.21; and for A. excelsa (39 years age) as 1.23 and 0.23, respectively. BEF for P. roxburghii trees calculated as 2.3 for 13 years age, 1.75 for 20 years, 1.71 for 22 years, 1.5 for 33 years and 1.46 for trees of 45 years of age. Similarly, R values were 0.2 for 13 years, 0.21 for 20 years, 0.12 for 22 years, 0.13 for 33 years and 0.15 for 45 years of age. P. roxburghii sample trees have shown decreasing order of BEF with increasing age, whereas S. robusta has not shown such trend along the chronosequence.

Research on biomass expansion factor of chinese fir forest in Zhejiang Province based on LULUCF greenhouse gas Inventory

2013 ◽  
Vol 33 (13) ◽  
pp. 3925-3932 ◽  
Author(s):  
朱汤军 ZHU Tangjun ◽  
沈楚楚 SHEN Chuchu ◽  
季碧勇 JI Biyong ◽  
林荫 LIN Yin ◽  
王秀云 WANG Xiuyun ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Chinese Fir ◽  
Zhejiang Province ◽  
Greenhouse Gas Inventory ◽  
Expansion Factor ◽  
Biomass Expansion Factor

Influence of stand age class on biomass expansion factor and allometric equations forPinus rigidaplantations in South Korea

2013 ◽  
Vol 28 (6) ◽  
pp. 566-573 ◽  
Author(s):  
Yeon Ok Seo ◽  
Young Jin Lee ◽  
Roscinto Ian C. Lumbres ◽  
Jung Kee Pyo ◽  
Rae Hyun Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Allometric Equations ◽  
Stand Age ◽  
Expansion Factor ◽  
Biomass Expansion Factor ◽  
Age Class
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