scholarly journals Whole-tree biomass and carbon allocation of juvenile trees of loblolly pine (Pinus taeda): influence of genetics and fertilization

2001 ◽  
Vol 31 (6) ◽  
pp. 960-970 ◽  
Author(s):  
W A Retzlaff ◽  
J A Handest ◽  
D M O'Malley ◽  
S E McKeand ◽  
M A Topa
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Biomass Allocation ◽  
Total Carbon ◽  
Tree Level ◽  
Total Biomass ◽  
Tree Biomass ◽  
Slow Growing ◽  
Total Tree ◽  
Whole Tree

To assess the contribution of belowground biomass allocation towards total carbon (C) allocation of two provenances of loblolly pine (Pinus taeda L.), we examined the total biomass allocation of a fast- and slow-growing family from each provenance. Since planting on a xeric, infertile site in Scotland County, N.C., U.S.A., trees in this study have been subjected to one of two nutrient treatments: optimal nutrition or control (no fertilization). Total biomass of 24 (1 tree/family plot × 2 families × 2 provenances × 2 treatments × 3 blocks) 5-year-old (juvenile) trees was harvested in January 1998. Fertilization increased total root, total shoot, and total tree biomass in all families as compared with harvested trees in control plots. Fertilization also increased biomass of coarse-root, woody-root, taproot, stem, branch, and foliar components of families as compared with trees in control plots. Although there were treatment and family differences in standing-crop biomass of the total root, total shoot, total tree, and various individual root and shoot components, the percent biomass (whole-tree) allocation to these tissues remained similar across treatments. Total nonstructural carbohydrate (TNC) analysis indicated some treatment, family, and provenance differences in TNC concentrations and partitioning to starch and soluble sugars. At the time of harvest, TNC concentrations of belowground tissues were much higher than those of aboveground tissues, and enhanced partitioning towards starch in root tissues indicates an important C storage role for belowground tissues at this time. Indeed, more than 90% of the trees starch content was present in root tissue in January. Although constrained by a sample size of three harvested trees per family, this study suggests that biomass allocation on a whole-tree level was similar between fast- and slow-growing families of different provenances of juvenile loblolly pine and was not affected by fertilizer treatment.

scholarly journals Similar foliage area but contrasting foliage biomass between young beech and spruce stands / Porovnateľná plocha avšak kontrastná biomasa asimilačných orgánov medzi mladými porastmi buka a smreka

2014 ◽  
Vol 60 (4) ◽  
pp. 205-213 ◽  
Author(s):  
Bohdan Konôpka ◽  
Jozef Pajtík
Keyword(s):  
Leaf Area ◽  
Morphological Properties ◽  
Tree Level ◽  
Growth Stages ◽  
Total Biomass ◽  
Growth Strategies ◽  
Tree Biomass ◽  
Coarse Roots ◽  
Area Index ◽  
Total Tree

Abstract The study focuses on two young stands of European beech (Fagus sylvatica) and Norway spruce (Picea abies) of the same age (12-yearold) with similar sized trees grown at near identical sites. After performing a destructive sampling technique which included all tree compartments except fine roots; allometric equations were constructed for all tree components. Diameter at stem base (do) was utilized as an independent variable for the equations. The models expressed not only biomass of woody parts (branches, stem and coarse roots) and foliage but also foliage area and specific leaf area (SLA). Results indicate that the basic morphological properties of foliage vary in both species along the vertical crown profile. In spruce, contrasting values of needle area and SLA were recorded among needle sets (based on year of establishment). On a tree level, both spruce and beech had similar foliage areas however, beech had a larger biomass comprising of woody parts while spruce biomass was dominated by foliage. Therefore the leaf mass ratio (LMR) defined as the ratio between foliage biomass and total tree biomass, as well as leaf area ratio (LAR) defined as the ratio between leaf area and total tree biomass were much larger in spruce than in beech species. On a stand level, spruce manifested a higher value (18.64 m2.m−2) of leaf area index (LAI) than beech (12.77 m2.m−2). Moreover, while the biomass of foliage was 4.6 times higher in spruce than in beech, total biomass of woody parts were similar in both stands. These contrasts indicate very different growth strategies and biomass allocations between beech and spruce at the young growth stages

scholarly journals Participatory Tree Carbon Measurement in Komolchari Village Common Forests in Chittagong Hill Tracts

2021 ◽  
Vol 42 (1) ◽  
pp. 1-23
Author(s):  
Md Danesh Miah ◽  
Md Arif Chowdhury ◽  
Mohammed Jashimuddin
Keyword(s):  
Climate Change ◽  
Low Cost ◽  
Participatory Approach ◽  
Total Carbon ◽  
Total Biomass ◽  
Carbon Density ◽  
Tree Biomass ◽  
Chittagong Hill Tracts ◽  
Biomass Density ◽  
Total Tree

Climate change is taking place at a horrifying rate due to the increasing concentration of CO2 in the atmosphere. REDD+ has been considered as a low-cost approach to reducing atmospheric carbon. A study on measurements of tree carbon through a participatory approach was conducted in Komolchari Village Common Forest (VCF) of Khagrachari under the Chittagong Hill Tracts to examine the contribution of local participants in the measurement of tree carbon. From the study, it was estimated that total tree biomass density measured by the forestry experts and the local participants were 147.40±31.26 tha-1and 135.95±27.54 tha-1, respectively, where total carbon density for trees was 73.70±15.63 tha-1and 67.98±13.77 tha-1, respectively. Furthermore, in the case of saplings, the estimated total biomass density measured by the forestry experts and the local participants were 33.63±3.50 tha-1 and 32.41±3.09 tha-1, respectively, where estimated total carbon density for saplings was 16.82±1.75 tha-1and 16.21±1.55 tha-1, respectively. From all of the findings, it was observed that a participatory approach was successfully conducted in the study area to collect data on the measurement of tree carbon. The study will help bring the profit in the carbon trade by reducing transaction costs in the case of collecting data on tree carbon measurement. The findings of the study can be useful for REDD+ implementation in Bangladesh. The Chittagong Univ. J. Sci. 42(1): 1-23, 2020

scholarly journals Loss of Tree Biomass in Jure Landslide, Sindhupalchowk, Nepal

2016 ◽  
Vol 21 (1) ◽  
pp. 65-70
Author(s):  
Smrita Acharya ◽  
Udhab Raj Khadka
Keyword(s):  
Tree Species ◽  
Sampling Technique ◽  
Allometric Equation ◽  
Total Biomass ◽  
Tree Biomass ◽  
Loss Mitigation ◽  
Shorea Robusta ◽  
Mountainous Regions ◽  
Mountain Environment ◽  
Total Tree

Landslide causes massive loss of lives and properties along with intangible losses in mountainous regions. Yet such intangible losses in ecosystems are rarely considered. The present study assesses the tree biomass lost due to Jure landslide in Sindhupalchowk that destroyed 71 hectare of land. Altogether, 12 plots (250 m2) were sampled through systematic and purposive sampling technique. The total tree biomass was estimated using allometric equation. The study recorded 21 tree species in which Schimawallichiii (Korth.), Lagerstroemia parviflora (Roxb.), Shorea robusta (Gaertn.), Alnus nepalensis (D. Don), Phyllanthus emblica (Linn.) and Celtius australis (Linn.) were dominant. Schima wallichiii had the highest density (320 individual ha-1) and frequency (92%). The total biomass of tree species was 216 ton ha-1 in which Schima wallichiii constituted the highest total tree biomass (82 ton ha-1). In 71 ha landslide area, the landslide caused loss of 15,336 tons of total tree biomass, which equals to 56,283 tons CO2 equivalents. These findings are relevant for assessing post-landslide impacts on the mountain environment. Furthermore, to reduce carbon emissions resulting from forest loss, mitigation of landslide is crucial.Journal of Institute of Science and TechnologyVol. 21, No. 1, 2016,Page: 65-70

scholarly journals Effects of Stand Age on Biomass Allocation and Allometry of Quercus Acutissima in the Central Loess Plateau of China

Forests ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 41 ◽  
Author(s):  
Bin Yang ◽  
Wenyan Xue ◽  
Shichuan Yu ◽  
Jianyun Zhou ◽  
Wenhui Zhang
Keyword(s):  
Biomass Allocation ◽  
Aboveground Biomass ◽  
Belowground Biomass ◽  
Stem Bark ◽  
Stand Age ◽  
Tree Biomass ◽  
Quercus Acutissima ◽  
Stem Wood ◽  
Biomass Equations ◽  
Total Tree

We studied the effects of stand age on allocation and equation fitting of aboveground and below-ground biomass in four Quercus acutissima stands (14, 31, 46, and 63 years old) in the Central Loess Plateau of China. The stem wood, stem bark, branch, foliage, and belowground biomass of each of the 20 destructive harvesting trees were quantified. The mean total biomass of each tree was 28.8, 106.8, 380.6, and 603.4 kg/tree in the 14-, 31-, 46-, and 63-year-old stands, respectively. Aboveground biomass accounted for 72.25%, 73.05%, 76.14%, and 80.37% of the total tree biomass in the 14-, 31-, 46-, and 63-year-old stands, respectively, and stem wood was the major component of tree biomass. The proportion of stem (with bark) biomass to total tree biomass increased with stand age while the proportions of branch, foliage, and belowground biomass to total tree biomass decreased with stand age. The ratio of belowground biomass to aboveground biomass decreased from 0.39 in the 14-year-old stand to 0.37, 0.31, and 0.24 in the 31-, 46-, and 63-year-old stands, respectively. Age-specific biomass equations in each stand were developed for stem wood, stem bark, aboveground, and total tree. The inclusion of tree height as a second variable improved the total tree biomass equation fitting for middle-aged (31-year-old and 46-year-old) stands but not young (14 years old) and mature (63 years old) stands. Moreover, biomass conversion and expansion factors (BCEFs) varied with stand age, showing a decreasing trend with increasing stand age. These results indicate that stand age alters the biomass allocation of Q. acutissima and results in age-specific allometric biomass equations and BCEFs. Therefore, to obtain accurate estimates of Q. acutissima forest biomass and carbon stocks, age-specific changes need to be considered.

Influence of Herbaceous Interference on Growth and Biomass Partitioning in Planted Loblolly Pine (Pinus taeda)

Weed Science ◽  
1990 ◽  
Vol 38 (6) ◽  
pp. 497-503 ◽  
Author(s):  
John R. Britt ◽  
Bruce R. Zutter ◽  
Robert J. Mitchell ◽  
Dean H. Gjerstad ◽  
John F. Dickson
Keyword(s):  
Leaf Area ◽  
Pinus Taeda ◽  
Loblolly Pine ◽  
Growth Efficiency ◽  
Biomass Partitioning ◽  
Lower Percentage ◽  
Total Biomass ◽  
Growth Responses ◽  
Area Index ◽  
Weed Interference

Three herbaceous regimes were established, using herbicides, to examine the effects of interference on growth and biomass partitioning in loblolly pine (Pinus taedaL.). Trees were sampled near Auburn and Tallassee, AL. Trees at the Auburn site grown with low weed interference (LWI) had 4, 10, 10, 8, and 4 times greater total aboveground biomass than did trees with high weed interference (HWI) for ages one through five, respectively. Medium weed interference (MWI, Auburn site only) resulted in three times greater biomass the first 4 yr and two times greater total biomass by the fifth year compared to trees grown with HWI. Trees growing with LWI were 5, 8, 10, and 6 times larger than those with HWI for ages one through four, respectively, at the Tallassee site. At all levels of interference, the percentage of total biomass in foliage decreased, and stem and branch components increased, with increasing tree size at both sites. Trees growing with HWI had a lower percentage of total biomass in foliage and a greater percentage of total biomass in stem than those growing with LWI when compared over a common size. Growth efficiency per tree, expressed as annual increase in stem biomass per unit leaf area (g m−2), was slightly greater for trees growing with LWI compared to HWI when leaf area index (LAI3, total surface) was less than 0.2. For LAI values greater than 0.2 the relationship was reversed. The latter contradicts the idea that growth efficiency can be used as a measure of vigor for young loblolly pine. Changes in carbon partitioning to the development of leaf area are suggested to be driving the accelerated growth responses associated with a reduction of weed interference.

scholarly journals HUBUNGAN VOLUME TEGAKAN DENGAN KANDUNGAN BIOMASSA TERSIMPAN SKALA PLOT PADA AREAL AGROFORESTRY DUSUNG DI DUSUN TOISAPU KOTA AMBON

2019 ◽  
Vol 3 (1) ◽  
pp. 40-54
Author(s):  
Ivan Passal ◽  
Gun Mardiatmoko ◽  
Fransina Latumahina
Keyword(s):  
Carbon Content ◽  
Total Carbon ◽  
Total Biomass ◽  
Tree Biomass ◽  
Community Forest ◽  
Total Carbon Content ◽  
Stand Volume ◽  
Plot Area ◽  
Biomass Potential ◽  
The Relationship

 The study was carried out in the Dusung Community Forest (Agroforestry) area of ​​Toisapu Negeri Hutumuri Hamlet, South Leitimur Sub-District, Ambon City in August - October 2018 to determine the relationship between stand volume and stored biomass for scale plots in dusung agroforestry areas in Toisapu Hamlet. For this reason, it begins with an inventory of potential at seedling, sapling, pole and tree levels so that information and data on the actual potential of carbon content in the dusung system are obtained based on the value of the diversity of stand volume and biomass content. The results of the three measurement plots showed that the highest biomass was seen to be dominated by Durian, Pala and Langsat and Duku and Clove plants. Based on the calculation of the biomass value of the total carbon content in the three plots, it can be seen biomass potential for a total 400 m² plot area or 0.04 ha for the three plots with an area of ​​1,200 m² or 0.12 ha having a total biomass of 50,783.77 Kg / m² multiplied by the assumption of 0.5% of the total amount of tree biomass and poles so that the total carbon content stored in the three plots is 25,391.88 kg / m² or 2,539.19 tons / ha.

Use of Randomized Branch and Importance Sampling to Estimate Loblolly Pine Biomass

1989 ◽  
Vol 13 (4) ◽  
pp. 181-184 ◽  
Author(s):  
Roger A. Williams
Keyword(s):  
Importance Sampling ◽  
Loblolly Pine ◽  
Sampling Method ◽  
Sampling Error ◽  
Total Biomass ◽  
Tree Biomass ◽  
Individual Tree ◽  
Wide Range ◽  
Pinus Taeda L ◽  
Source Of Error

Abstract A previously developed sampling method utilizing randomized branch and importance sampling for the purpose of quickly estimating tree biomass was tested on five loblolly pine (Pinus taeda L.) trees. Results show a wide range of per-tree sampling error, ranging from 5.3 to 28.9%. Largevariation in foliage content among selected branches per treee may be a major source of error. However, the sampling error for the total biomass of the five trees tested was only 3.3%. This sampling method appears to be reliable and efficient in obtaining precise estimates of the total biomassof a population of trees. Increased sampling intensity per tree is necessary to obtain precise estimates of individual tree biomass. South. J. Appl. For. 13(4):181-184.

Additive biomass equations for slash pine trees: comparing three modeling approaches

2019 ◽  
Vol 49 (1) ◽  
pp. 27-40 ◽  
Author(s):  
Dehai Zhao ◽  
James Westfall ◽  
John W. Coulston ◽  
Thomas B. Lynch ◽  
Bronson P. Bullock ◽  
...  
Keyword(s):  
Pinus Elliottii ◽  
Slash Pine ◽  
Seemingly Unrelated Regression ◽  
Total Biomass ◽  
Tree Biomass ◽  
Biomass Equation ◽  
Fit Statistics ◽  
Biomass Equations ◽  
Pine Trees ◽  
Total Tree

Both aggregative and disaggregative strategies were used to develop additive nonlinear biomass equations for slash pine (Pinus elliottii Engelm. var. elliottii) trees in the southeastern United States. In the aggregative approach, the total tree biomass equation was specified by aggregating the expectations of component biomass models, and their parameters were estimated by jointly fitting all component and total biomass equations using weighted nonlinear seemingly unrelated regression (NSUR) (SUR1) or by jointly fitting component biomass equations using weighted NSUR (SUR2). In an alternative disaggregative approach (DRM), the biomass component proportions were modeled using Dirichlet regression, and the estimated total tree biomass was disaggregated into biomass components based on their estimated proportions. There was no single system to predict biomass that was best for all components and total tree biomass. The ranking of the three systems based on an array of fit statistics followed the order of SUR2 > SUR1 > DRM. All three systems provided more accurate biomass predictions than previously published equations.

scholarly journals SEASONAL DYNAMICS OF TOTAL SOLUBLE PROTEINS IN ADULT TREES OF Quercus petraea (Matts.) Liebl. AND Fagus sylvatica L.

2019 ◽  
Vol 1 (1) ◽  
pp. 75-83 ◽  
Author(s):  
Luis Manuel Valenzuela Nuñez ◽  
Dominique Gérant ◽  
Pascale Maillard ◽  
Nathalie Bréda
Keyword(s):  
Dry Mass ◽  
Quercus Petraea ◽  
Soluble Proteins ◽  
Tree Level ◽  
Tree Biomass ◽  
Oak Trees ◽  
Adult Trees ◽  
Fagus Sylvatica L ◽  
Total Tree ◽  
N Compounds

The complete distribution of total soluble proteins was investigated in 40-year-old oak and beech trees, felled at two dates (October 1999 and June 2000), to estimate seasonal variations in protein content at tree level. The concentration of total soluble proteins was nearly twice as high in oak compared to beech (755 mg.g-1 Dry Mass vs. 4.2 mg.g-1 Dry Mass, respectively) and 10 times lower than total non structural carbohydrates. Scaling from samples to total tree biomass, the contribution of C stored as total soluble proteins accounted for 500 gC in oak trees and only for 250 gC in beech trees. The stem was the major storage compartment in both species. Soluble proteins made up most of nitrogen at the stem and roots of oaks, while in its branches and in all beech organs, several N compounds predominated. These concentrations varied before bud break and stem growth in oak and beech. The seasonal progression of total soluble proteins in twigs of both species showed opposite patterns, especially during Spring, probably due to internal redistribution of proteins from upper stem and large branches. The dates of minimum and maximum concentrations were different for total soluble proteins and total non structural carbohydrates.  

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