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

scholarly journals Slenderness of trees in black locust stands

2018 ◽  
Vol 79 (2) ◽  
pp. 113-117
Author(s):  
Szymon Bijak ◽  
Katarzyna Orzoł
Keyword(s):  
Standard Deviation ◽  
Black Locust ◽  
Robinia Pseudoacacia ◽  
Habitat Type ◽  
Stand Age ◽  
Age Classes ◽  
Breast Height ◽  
Age Class ◽  
Crown Length ◽  
Research Material

Abstract This paper investigates the slenderness of black locust (Robinia pseudoacacia) trees in relation to the biosocial status of the trees, stand age class, crown parameters and habitat type. The research material was collected on 35 research plots in the Sława Śląska, Sulechów and Głogów forest districts in western Poland and comprises 1058 trees. For each tree, we measured height (h) as well as diameter at breast height (d) and determined its biosocial status (Kraft class), crown length (CL) and relative crown length (rCL). The age class and habitat type were assessed at the plot level. Because the obtained values for slenderness (s=h/d) diverged significantly from the normal distribution, we used Kruskal-Wallis and Mann-Whitney tests to investigate the influence of the above-mentioned parameters on the h/d ratio. Black locust slenderness ranged from 0.31 to 1.95 with an average of 0.91 (standard deviation 0.24). It furthermore differed significantly between Kraft classes (the higher the biosocial status, the lower the slenderness) and age classes (the older the trees, the lower their slenderness). We also found a significant effect of the habitat type (in oligotrophic sites trees formed more slender trunks than in mesotrophic sites) and crown parameters on the h/d ratio (decreasing with increasing crown length and relative crown length). The obtained results suggest that the slenderness of black locust does not differ substantially from native broadleaved trees in Poland.

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

Allometric Equations for Crown Fuel Load of Pinus rigida Stands in South Korea

2017 ◽  
Vol 13 (12) ◽  
pp. 127-137
Author(s):  
Sung Yong Kim ◽  
Chun Geun Kwon ◽  
He Young Ahn ◽  
Byung Doo Lee ◽  
Mi Na Jang
Keyword(s):  
South Korea ◽  
Allometric Equations ◽  
Fuel Load ◽  
Pinus Rigida

scholarly journals Biomass Distribution and Development of Allometric Equations for Non-Destructive Estimation of Carbon Sequestration in Grafted Mango Trees

2016 ◽  
Vol 8 (8) ◽  
pp. 201 ◽  
Author(s):  
A. N. Ganeshamurthy ◽  
V. Ravindra ◽  
R. Venugopalan ◽  
Malarvizhi Mathiazhagan ◽  
R. M. Bhat
Keyword(s):  
Allometric Equations ◽  
Above Ground Biomass ◽  
Expansion Factor ◽  
Destructive Sampling ◽  
R Ratio ◽  
Scaling Parameters ◽  
Non Destructive ◽  
Best Fit ◽  
Very High ◽  
Good Agreement

<p>The general equations available/developed for forest/wild mango trees based on measurement of diameter at breast height (DBH) (cannot be used) are not applicable for mango orchards which are predominantly established with grafted plants. Hence allometric equations were developed with destructive sampling of grafted mango trees. The selected parameters showed that allometric parameters were significantly related with age of the trees. The proportion of roots (22%) in grafted mangos was found to be higher than those reported for tropical forest trees (18%) with a R ratio of 0.291. The biomass expansion factor (BEF) varied with age. Initially the BEF was very high followed by a decreasing phase and finally a steady phase by and large attained stability beyond 20 years. The equations generally fitted the data well, and in most cases more than 50% of the observed variation in biomass was explained by primary branch girth (PBG) × number of primary branches (NPB). All equations were statistically significant (p &lt; 0.05) for both scaling parameters, a and b. Based on the R<sup>2</sup> values the best fit model for estimation of above ground biomass of grafted mango trees is a power model using PBG × NPB as the best dimension: There was a good agreement between the observed and the predicted biomass using this equation.</p>

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