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 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 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 Carbon storage along altitudes in agrisilviculture system- Case study of Devprayag Block, Tehri District, Uttarakhand, India

2020 ◽  
Vol 7 (9) ◽  
pp. 29-38
Author(s):  
K.K. Vikrant ◽  
D.S. Chauhan ◽  
R.H. Rizvi
Keyword(s):  
Climate Change ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Storage ◽  
Carbon Stock ◽  
Total Carbon ◽  
Total Biomass ◽  
Biomass Carbon ◽  
Total Carbon Stock ◽  
Crop Biomass

Climate change is one of the impending problems that have affected the productivity of agroecosystems which calls for urgent action. Carbon sequestration through agroforestry along altitude in mountainous regions is one of the options to contribute to global climate change mitigation. Three altitudes viz. lower (286-1200m), middle (1200-2000m), and upper (2000-2800m) have been selected in Tehri district. Ten Quadrates (10m × 10 m) were randomly selected from each altitude in agrisilviculture system. At every sampling point, one composite soil sample was taken at 30 cm soil depth for soil organic carbon analysis. For the purpose of woody biomass, Non destructive method and for crop biomass assessment destructive method was employed. Finally, aboveground biomass (AGB), belowground biomass carbon (BGB), Total tree Biomass (TTB), Crop biomass (CB), Total Biomass (TB), Total biomass carbon (TBC), soil organic carbon (SOC), and total carbon stock (TC) status were estimated and variables were compared using one-way analysis of variance (ANOVA).The result indicated that AGB, BGB, TTB, CB , TB, TBC, SOC, and TC varied significantly (p < 0.05) across the altitudes. Results showed that total carbon stock followed the order upper altitude ˃ middle altitudes ˃ lower altitude. The upper altitude (2000-2800 m) AGB, BGB,TTB, TBC,SOC, and TC stock was estimated as 2.11 Mg ha-1 , 0.52 Mg ha-1, 2.63 Mg ha-1, 2.633 Mg ha-1, 1.18 Mg ha-1 , 26.53 Mg ha-1, 38.48 Mg ha-1 respectively, and significantly higher than the other altitudes. It was concluded that agrisilviculture system hold a high potential for carbon storage at temperate zones. Quercus lucotrichophora, Grewia oppositifolia and Melia azadirach contributed maximum carbon storage which may greatly contribute to the climate resilient green economy strategy and their conservation should be promoted.

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.

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.

Canadian national tree aboveground biomass equations

2005 ◽  
Vol 35 (8) ◽  
pp. 1996-2018 ◽  
Author(s):  
M-C Lambert ◽  
C-H Ung ◽  
F Raulier
Keyword(s):  
Aboveground Biomass ◽  
National Level ◽  
Estimation Method ◽  
Seemingly Unrelated Regression ◽  
Model Parameters ◽  
Total Biomass ◽  
Tree Biomass ◽  
Biomass Density ◽  
Biomass Equations ◽  
Error Terms

The estimation of aboveground biomass density (organic dry mass per unit area) is required for balancing Canadian national forest carbon budgets. Tree biomass equations are the basic tool for converting inventory plot data into biomass density. New sets of national tree biomass equations have therefore been produced from archival biomass data collected at the beginning of the 1980s through the ENergy from the FORest research program (ENFOR) of the Canadian Forest Service. Since the sampling plan was not standardized among provinces and territories, data had to be harmonized before any biomass equation could be considered at the national level. Two features characterize the new equations: estimated biomass of the compartments (foliage, branch, wood, and bark) are constrained to equal the total biomass, and dependence among error terms for the considered compartments of the same tree is taken into account in the estimates of both the model parameters and the variance prediction. The estimation method known to economists as “seemingly unrelated regression” allowed the inclusion of dependencies among the error terms of the considered biomass compartments. Sets of equations based on diameter at breast height (dbh) and on dbh and height have been produced for 33 species, groups of hardwood and softwood, and for all species combined. Biomass predicted by the new equations was compared with that estimated from provincial equations to evaluate the loss of accuracy when scaling up from the regional to the national scale. Bias and error of prediction from the set of national equations based on dbh and height were generally more similar to those from provincial equations than to those of predictions from the set of equations based on dbh alone.

scholarly journals Variability Assessment for Volume, Biomass and Carbon Stock in Cedrus deodara (Roxb) G.Don. Forests of Garhwal Himalaya

2020 ◽  
pp. 93-103
Author(s):  
Rathod Digvijaysinh ◽  
Yogesh Kumar ◽  
Gaurav Chand Ramola ◽  
Dhaval Prajapati ◽  
C. S. Dhanai ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Canopy Cover ◽  
Basal Area ◽  
Stand Density ◽  
Total Carbon ◽  
Total Biomass ◽  
Timber Species ◽  
Biomass Density ◽  
Cedrus Deodara ◽  
Ground Biomass

Deodar is typically gregarious and is usually found in pure stands. It is one of the most important timber species in the forests of North Indian Himalayas. The objective of the present study was the assessment of variation in volume and biomass along with the carbon holding capacity of different deodar forests. The present study was undertaken in ten different forests sites, assessed by laying out three 0.1 ha sample plots randomly on each location. Total enumeration of trees within the sample plot was done by measuring girth and height of all the trees. Further, data collected from stand were computed for dbh, basal area, volume, stand density and canopy cover. The above ground biomass densities (AGBD), below ground biomass density (BGBD), total biomass density (TBD), total carbon density (TCD) were examined for variation of biomass and carbon stock. The results derived from field data during the study revealed that the values range from 42.10 to 57.07 cm (diameter at breast height), 1.37 to 2.84 m2 trees-1 (basal area), 19.68 to 37.64 m (height), 1.44 m3 tree-1 to 4.27 m3 tree-1 (volume), 227 to 407 individual ha-1 (stand density) and 57.91% to 80.60% (canopy cover) respectively. The values of AGBD (428.57 to 1279.51 Mg ha-1), BGBD (97.41 to 256.14 Mg ha-1), TBD (525.98 to 1535.65 Mg ha-1), and TCD (767.83 to 262.99 Mg ha-1) were recorded in different study sites and highest values was observed in Kanasar-I site. On the basis of above results it can be concluded that the healthy stand growth means presence of trees in all diameter classes. The Kanasar-I has more prominent capacity to storage biomass and carbon stock. Deodar being a slow growing conifer will provide a long term and high carbon storage than broadleaf species forest. Therefore, protecting deodar forest would have the largest impact, per unit area, on reducing carbon emission from deforestation.

Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species

1998 ◽  
Vol 28 (11) ◽  
pp. 1648-1659 ◽  
Author(s):  
Jonathan G Martin ◽  
Brian D Kloeppel ◽  
Tara L Schaefer ◽  
Darrin L Kimbler ◽  
Steven G McNulty
Keyword(s):  
Acer Rubrum ◽  
Correlation Coefficients ◽  
Liriodendron Tulipifera ◽  
Quercus Alba ◽  
Total Biomass ◽  
Tree Biomass ◽  
Sapwood Area ◽  
Stem Wood ◽  
Betula Lenta ◽  
Total Tree

Allometric equations were developed for mature trees of 10 deciduous species (Acer rubrum L., Betula lenta L., Carya spp., Cornus florida L., Liriodendron tulipifera L., Oxydendrum arboreum (L.) DC., Quercus alba L., Quercus coccinea Muenchh., Quercus prinus L., and Quercus rubra L.) at the Coweeta Hydrologic Laboratory in western North Carolina, U.S.A. These equations included the following dependent variables: stem wood mass, stem bark mass, branch mass, total wood mass, foliage mass, total biomass, foliage area, stem surface area, sapwood volume, and total tree volume. High correlation coefficients (R2) were observed for all variables versus stem diameter, with the highest being for total tree biomass, which ranged from 0.981 for Oxydendrum arboreum to 0.999 for Quercus coccinea. Foliage area had the lowest R2 values, ranging from 0.555 for Quercus alba to 0.962 for Betula lenta. When all species were combined, correlation coefficients ranged from 0.822 for foliage area to 0.986 for total wood mass, total tree biomass, and total tree volume. Species with ring versus diffuse/semiring porous wood anatomy exhibited higher leaf area with a given cross-sectional sapwood area as well as lower total sapwood volume. Liriodendron tulipifera contained one of the highest foliar nitrogen concentrations and had consistently low branch, bark, sapwood, and heartwood nitrogen contents. For a tree diameter of 50 cm, Carya spp. exhibited the highest total nitrogen content whereas Liriodendron tulipifera exhibited the lowest.

Tree biomass reconstruction shows no lag in postglacial afforestation of eastern Canada

2016 ◽  
Vol 46 (4) ◽  
pp. 485-498 ◽  
Author(s):  
Olivier Blarquez ◽  
Julie C. Aleman
Keyword(s):  
Climate Change ◽  
Forest Ecosystems ◽  
Transfer Functions ◽  
Carbon Sources ◽  
Annual Precipitation ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Tree Biomass ◽  
Eastern Canada ◽  
The Holocene

Forest ecosystems in eastern Canada are particularly sensitive to climate change and may shift from carbon sinks to carbon sources in the coming decades. Understanding how forest biomass responded to past climate change is thus of crucial interest, but past biomass reconstruction still represents a challenge. Here we used transfer functions based on modern pollen assemblages and remotely sensed biomass estimation to reconstruct and quantify, for the last 14 000 years, tree biomass dynamics for the six main tree genera of the boreal and mixedwood forests (Abies, Acer, Betula, Picea, Pinus, Populus). We compared the mean genera and total biomass with climatic (summer temperatures and annual precipitation), physical (CO2, insolation, ice area), and disturbance (burned biomass) variables to identify the potential drivers influencing the long-term trends in tree biomass. For most genera, tree biomass was related to summer temperature, insolation, and CO2 levels; Picea was the exception and its biomass also correlated with annual precipitation. At the onset of the Holocene and during the Holocene Thermal Maximum (ca. 10 000–6000 BP), tree biomass tracked the melting of the Laurentide Ice Sheet with high values (>50 tonnes·ha–1 and a total of 12 Pg). These values, in the range of modern forest ecosystems biomass, indicate that trees were probably able to survive in a periglacial environment and to colonize the region without any discernible lag by tracking the ice retreat. High biomass at the beginning of the Holocene was likely favoured by higher than present insolation, CO2 levels higher than during the Last Glacial Maximum, and temperature and precipitation close to present-day levels. Past tree biomass reconstruction thus brings novel insights about the drivers of postglacial tree biomass and the overall biogeography of the region since the deglaciation.

scholarly journals Seagrass Ecosystem Carbon Stock In The Small Islands: Case Study In Spermonde Island, South Sulawesi, Indonesia

Jurnal Segara ◽  
2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Agustin Rustam ◽  
Nasir Sudirman ◽  
Restu Nur Afi Ati ◽  
Hadiwijaya Lesmana Salim ◽  
Yusmiana Puspitaningsih Rahayu
Keyword(s):  
Climate Change ◽  
Carbon Stock ◽  
Total Carbon ◽  
Survey Method ◽  
Total Biomass ◽  
Small Islands ◽  
Coastal Plants ◽  
Average Value ◽  
Carbon Biomass ◽  
Seagrass Ecosystems

Small islands are particularly rich with coral reefs and seagrass ecosystems and coastal plants. Seagrass is one of the coastal ecosystems of blue carbon, which is capable of storing utilize and store CO2 in the form of organic carbon in biomass and sediment. The purpose of this study to get the carbon stock of seagrass and its role in climate change. The survey method with sampling purposive sampling representing all research sites and analyzed the amount of carbon contained in biomass and sediment. The result showed that there were eight species of seagrass found, and the highest carbon stock  on the type Enhalus acoroides at  Kapoposang island was 1.64 MgC / ha. The average value of the total biomass of carbon stock in the island's largest seagrass Bauluang island  was 1.89 ± 0.92 Mg C / ha with the largest at the ground below 77% of total carbon biomass. Carbon stock in sediments of seagrass ecosystems average of 531.87 ± 74.08 Mg C / ha up to a depth of 50 cm. The role of seagrass in Spermonde archipelago waters in climate change in both the biomass and sediment for MgC 533.25 MgC/ ha is equivalent to the use of CO2 for 1955.26 MgCO2e / ha.

Sign in / Sign up

Export Citation Format

Share Document