scholarly journals Comparison of Allometric Equation and Destructive Measurement of Carbon Storage of Naturally Regenerated Understory in a Pinus rigida Plantation in South Korea

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 425
Author(s):  
Si Ho Han ◽  
Byung Bae Park
Keyword(s):  
Carbon Stock ◽  
Allometric Equation ◽  
Allometric Equations ◽  
Forest Understory ◽  
Total Biomass ◽  
Biomass Equation ◽  
Quercus Acutissima ◽  
Plant Component ◽  
Pinus Rigida ◽  
Understory Trees

The forest understory plays an important role in the carbon and nutrient cycling and forest stability, but cost-efficient quantification of its biomass remains challenging. Most of the existing biomass allometric equations have been developed and designed only for mature forest trees (i.e., Diameter at breast height (DBH) ≥ 10 cm), and those for trees with DBH less than 10 cm are not readily available. In this study, we compared the biomass by plant component (i.e., foliage, branch, and stem) measured by a destructive method with those estimated by the existing biomass allometric equations for understory trees with DBH less than 10 cm in a Pinus rigida plantation. We also developed an allometric biomass equation for the identified understory tree species, namely, Quercus variabilis, Quercus acutissima, Quercus mongolica, Quercus serrata, and Carpinus laxiflora. The estimated biomass using allometric equations for foliage, branch, and stem was lower than the values obtained using the destructive method by 64%, 41%, and 18%, respectively. The biomass allometric equations developed in this study showed high coefficients of determination (mean R2 = 0.970) but varied depending on species and tree part (range: 0.824–0.984 for foliage, 0.825–0.952 for branch, and 0.884–0.999 for the stem, respectively). The computed biomass of the understory vegetation was 22.9 Mg ha−1, representing 12.0% of the total biomass of the P. rigida plantation. The present study demonstrates that understory trees with DBH less than 10 cm account for a considerable portion of carbon stock in forest ecosystems, and therefore suggests that more biomass allometric equations should be optimized for small-DBH trees to improve forest carbon stock estimation.

scholarly journals ABOVEGROUND AND BELOWGROUND BIOMASS AND CARBON ESTIMATES FOR CLONAL EUCALYPTUS TREES IN SOUTHEAST BRAZIL

2015 ◽  
Vol 39 (2) ◽  
pp. 353-363 ◽  
Author(s):  
Sabina Cerruto Ribeiro ◽  
Carlos Pedro Boechat Soares ◽  
Lutz Fehrmann ◽  
Laércio Antônio Gonçalves Jacovine ◽  
Klaus von Gadow
Keyword(s):  
Carbon Content ◽  
Carbon Stock ◽  
Eucalyptus Grandis ◽  
Belowground Biomass ◽  
Allometric Equations ◽  
Total Biomass ◽  
Eucalyptus Plantation ◽  
Eucalyptus Plantations ◽  
Efficient Alternative ◽  
Cost Efficient

Eucalyptus plantations represent a short term and cost efficient alternative for sequestrating carbon dioxide from the atmosphere. Despite the known potential of forest plantations of fast growing species to store carbon in the biomass, there are relatively few studies including precise estimates of the amount of carbon in these plantations. In this study it was determined the carbon content in the stems, branches, leaves and roots of a clonal Eucalyptus grandis plantation in the Southeast of Brazil. We developed allometric equations to estimate the total amount of carbon and total biomass, and produced an estimate of the carbon stock in the stand level. Altogether, 23 sample trees were selected for aboveground biomass assessment. The roots of 9 of the 23 sampled trees were partially excavated to assess the belowground biomass at a singletree level. Two models with DBH, H and DBH2H were tested. The average relative share of carbon content in the stem, branch, leaf and root compartments was 44.6%, 43.0%, 46.1% and 37.8%, respectively, which is smaller than the generic value commonly used (50%). The best-fit allometric equations to estimate the total amount of carbon and total biomass had DBH2H as independent variable. The root-to-shoot ratio was relatively stable (C.V. = 27.5%) probably because the sub-sample was composed of clones. Total stand carbon stock in the Eucalyptus plantation was estimated to be 73.38 MgC ha-1, which is within the carbon stock range for Eucalyptus plantations.

Forest Biomass Estimation Based on Forest Inventory Data in Middle and Last Scales

2011 ◽  
Vol 183-185 ◽  
pp. 220-224
Author(s):  
Ming Ze Li ◽  
Wen Yi Fan ◽  
Ying Yu
Keyword(s):  
Tree Species ◽  
Forest Inventory ◽  
Forest Biomass ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Inventory Data ◽  
Biomass Equation ◽  
Tree Species Composition ◽  
Forest Inventory Data ◽  
Ecosystem Carbon

The forest biomass (which is referred to the arbor aboveground biomass in this research) is one of the most primary factors to determine the forest ecosystem carbon storages. There are many kinds of estimating methods adapted to various scales. It is a suitable method to estimate forest biomass of the farm or the forestry bureau in middle and last scales. First each subcompartment forest biomass should be estimated, and then the farm or the forestry bureau forest biomass was estimated. In this research, based on maoershan farm region, first the single tree biomass equation of main tree species was established or collected. The biomass of each specie was calculated according to the materials of tally, such as height, diameter and so on in the forest inventory data. Secondly, each specie’s biomass and total biomass in subcompartment were calculated according to the tree species composition in forest management investigation data. Thus the forest biomass spatial distribution was obtained by taking subcompartment as a unit. And last the forest total biomass was estimated.

scholarly journals Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands

2014 ◽  
Vol 14 (2) ◽  
Author(s):  
Lauro Rodrigues Nogueira Júnior ◽  
Vera Lex Engel ◽  
John A. Parrotta ◽  
Antonio Carlos Galvão de Melo ◽  
Danilo Scorzoni Ré
Keyword(s):  
Atlantic Forest ◽  
Forest Restoration ◽  
Global Climate ◽  
Allometric Equations ◽  
Predictor Variables ◽  
Forest Stands ◽  
Tree Biomass ◽  
Biomass Equation ◽  
South Central ◽  
Biomass Equations

Restoration of Atlantic Forests is receiving increasing attention because of its role in both biodiversity conservation and carbon sequestration for global climate change mitigation. This study was carried out in an Atlantic Forest restoration project in the south-central region of São Paulo State - Brazil to develop allometric equations to estimate tree biomass of indigenous tree species in mixed plantations. Above and below-ground biomass (AGB and BGB, respectively), stem diameter (DBH: diameter at 1.3 m height), tree height (H: total height) and specific wood density (WD) were measured for 60 trees of 19 species. Different biomass equations (linear and nonlinear-transformed) were adjusted to estimate AGB and BGB as a function of DBH, H and WD. For estimating AGB and BGB, the linear biomass equation models were the least accurate. The transformed nonlinear biomass equation that used log DBH2, log H and log WD as predictor variables were the most accurate for AGB and the transformed nonlinear biomass equations that used log DBH2*WD as predictor variables were the most accurate for BGB. It is concluded that these adjusted equations can be used to estimate the AGB and BGB in areas of the studied project. The adjusted equations can be recommended for use elsewhere in the region for forest stands of similar age, tree size ranges, species composition and site characteristics.

scholarly journals Estimation on the Change of Above-Ground Carbon Stock in Arboretum University of Lampung

2018 ◽  
Vol 6 (2) ◽  
pp. 51
Author(s):  
Kristian Gomos Banjarnahor ◽  
Agus Setiawan ◽  
Arief Darmawan
Keyword(s):  
Carbon Stock ◽  
The Body ◽  
Total Carbon ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Biomass Carbon ◽  
Process Plants ◽  
Carbon Dioxide Co2 ◽  
Non Destructive ◽  
Earth Temperature

Carbon dioxide (CO2) is a greenhouse gas that could increase earth temperature. Through the photosynthesis process, plants absorb CO2 then convert it into carbohydrates, then sequester it in the body of plants. The purpose of the study is to estimate the changes in the carbon stock at the Arboretum University of Lampung. The methods used were stock difference by counting the carbon changes or difference between carbon stored in 2010 and 2016. While the stand biomass estimation measured by trees general allometric equations with non-destructive sampling. The results showed that the total carbon was 46% of the total biomass. Carbon stock in 2016 were about 226.75 ton/ha, showing an increase of 59.72% or 84.78 ton/ha compared to in 2010’s. The increase was due to additional growth of 804 trees as a result of plantation activity and natural regeneration. Keywords: Arboretum, biomass, carbon, necromass, University of Lampung.

scholarly journals ABOVE GROUND TREES BIOMASS OF LORE LINDU NATIONAL PARK-CENTRAL SULAWESI : A STUDY COMBINING FIELD MEASUREMENT AND REMOTE SENSING

Agromet ◽  
2010 ◽  
Vol 24 (1) ◽  
pp. 33
Author(s):  
Naimatu Solicha ◽  
Tania June ◽  
M. Ardiansyah ◽  
Antonius B. W.
Keyword(s):  
Remote Sensing ◽  
Carbon Stock ◽  
Field Data ◽  
Forest Cover ◽  
Satellite Image ◽  
Forest Biomass ◽  
Allometric Equation ◽  
Natural Forest ◽  
Forest Cover Type ◽  
Cover Type

Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The information on biomass is essential to assess the total and the annual capacity of forest vigor. Estimation of aboveground biomass is necessary for studying productivity, carbon cycles, nutrient allocation, and fuel accumulation in terrestrial ecosystem. The possibility that above ground forest biomass might be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The analysis showed that field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The forest cover type A and B (natural forest with the minor timber extraction) has the higher biomass than C and D (natural forest with the major timber extraction and agro forestry), it is about 607 ton/ha and 603 ton/ha. Forest cover type C is 457 ton/ha. Forest cover type D has the lowest biomass is about 203 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees heterogeneity. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass and carbon estimation for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass and for the economic carbon analysis.Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The information on biomass is essential to assess the total and the annual capacity of forest vigor. Estimation of aboveground biomass is necessary for studying productivity, carbon cycles, nutrient allocation, and fuel accumulation in terrestrial ecosystem. The possibility that above ground forest biomass might be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The analysis showed that field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The forest cover type A and B (natural forest with the minor timber extraction) has the higher biomass than C and D (natural forest with the major timber extraction and agro forestry), it is about 607 ton/ha and 603 ton/ha. Forest cover type C is 457 ton/ha. Forest cover type D has the lowest biomass is about 203 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees heterogeneity. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass and carbon estimation for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass and for the economic carbon analysis.

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 Biomass and Carbon Stock Estimation of Udawattakele Forest Reserve in Kandy District of Sri Lanka

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
A.M.S.K. Abeysekara ◽  
S.K. Yatigammana ◽  
K.T. Premakantha
Keyword(s):  
Carbon Dioxide ◽  
Sri Lanka ◽  
Carbon Stock ◽  
Anthropogenic Activities ◽  
Terrestrial Ecosystem ◽  
Total Carbon ◽  
Total Biomass ◽  
Moderate Amount ◽  
Forest Reserve ◽  
Rate Of Increase

Carbon dioxide has gained lot of attention in recent past as a greenhouse gas, and therefore it has a potential to affect the climate pattern of the world. Several anthropogenic activities are known to be responsible for the increased level of carbon in the atmosphere and disruption of the global carbon cycle. However, nature has its own mechanism of sequestering and storing the carbon in its “reservoirs”. Forest has the ability to sequester carbon in their biomass and reduce the rate of increase of atmospheric carbon dioxide. The carbon sequestered in the forest trees are mostly referred to as the biomass of a tree or a forest. It has been identified five carbon pools of the terrestrial ecosystem, involving biomass. The study was designed to estimate biomass stock and then the carbon stock of the Udawattakele Forest Reserve (7°17'58 "N, 80°38'20’’E) in Kandy, Sri Lanka. Allometric equations were used to calculate biomass of trees. The total biomass stock was estimated to be 9475.56 t ha-1 (Mega gram-Mg) and the total carbon stock was estimated to be 4,453.55 t ha-1 (Mg) in the Udawattakele Forest Reserve (UFR). This amount is equivalent to 16,344.52 Mg of carbon dioxide in the atmosphere. UFR holds a moderate amount of biomass/carbon stock and the total carbon density of natural forest and plantations was found to be 36.55 Mg ha-1 and 44.89 Mg ha-1 respectively.

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 Allometric Equations for the Aboveground Biomass of Selected Common Eastern Hardwood Understory Species

2010 ◽  
Vol 27 (4) ◽  
pp. 160-165 ◽  
Author(s):  
Yvette L. Dickinson ◽  
Eric K. Zenner
Keyword(s):  
Aboveground Biomass ◽  
Dry Weight ◽  
Vaccinium Corymbosum ◽  
Allometric Equations ◽  
Forest Understory ◽  
Rosa Multiflora ◽  
Basal Diameter ◽  
Understory Species ◽  
Elaeagnus Umbellata ◽  
Fit Index

Abstract Allometric equations were formulated for predicting the aboveground biomass of six groups of forest understory species (Elaeagnus umbellata Thunb.], blueberry [Vaccinium angustifolium Aiton, Vaccinium corymbosum L., and Vaccinium pallidum Aiton], hawthorn [Crataegus spp.], honeysuckle [Lonicera spp.], multiflora rose [Rosa multiflora Thunb.], and viburnum [Viburnum acerifolium L. and Viburnum dentatum L.]) common to Eastern hardwoods using basal diameter and/or height. As measured by fit index, basal diameter or height alone explained between 51 and 93% of the variation in oven-dry weight; this increased to 75‐96% when both basal diameter and height were used as predictors. Data were collected at four sites throughout Pennsylvania, but an evaluation of the importance of site as a blocking factor found site not to be statistically significant; therefore, the equations presented here may be used in a variety of forested sites within the greater mid-Atlantic region.

scholarly journals ESTIMATIVA DA BIOMASSA E CARBONO ACIMA DO SOLO EM UM FRAGMENTO DE FLORESTA OMBRÓFILA DENSA UTILIZANDO O MÉTODO DA DERIVAÇÃO DO VOLUME COMERCIAL

FLORESTA ◽  
2010 ◽  
Vol 40 (4) ◽  
Author(s):  
Péricles Silveira
Keyword(s):  
Basic Density ◽  
Atlantic Rain Forest ◽  
Total Biomass ◽  
Forest Fragment ◽  
Expansion Factor ◽  
Biomass Equation ◽  
Santa Catarina ◽  
Wood Basic Density ◽  
Carbon Biomass ◽  
Derivation Method

O objetivo principal desta pesquisa foi estimar pelo método da derivação do volume comercial, e comparar com a estimativa realizada por uma equação previamente selecionada para biomassa, o estoque de biomassa e carbono em um fragmento de Floresta Ombrófila Densa localizado nos municípios de Presidente Nereu Ramos e Apiúna, no estado de Santa Catarina. Com as informações de biomassa total, biomassa comercial, densidade básica da madeira, volume comercial e teores de carbono determinou-se o fator de expansão médio, por espécie e por classes de DAP. Estimou-se também, conforme o método de estimativa, a quantidade de dióxido de carbono removido da atmosfera e o valor monetário da floresta. Estes resultados mostraram que as estimativas encontradas pelo método da derivação de volume comercial em estoque de biomassa e carbono, apesar de até o momento ter sido pouco explorado, são confiáveis por estarem próximas às estimativas encontradas pela equação para biomassa assim como dos trabalhos realizados atualmente em florestas de formação natural.Palavras-chave:  Biomassa; carbono; fator de expansão de biomassa; modelos para biomassa e carbono. AbstractAbove ground biomass and carbon stock estimation through the commercial volume derivation in a Dense Ombrophyllous Forest fragment. The objective of this research was to estimate biomass and carbon amounts through the commercial volume derivation in an Atlantic Rain Forest fragment located in Presidente Nereu Ramos and Apiúna counties, Santa Catarina State, Brazil, and compare the results with a previously selected equation. Using the total biomass, commercial biomass, wood basic density, commercial volume, and carbon content, the average expansion factor by species and DBH classes was calculated. It was also estimated the CO2 amount absorbed from the atmosphere and the monetary value of the forest. The results showed that the estimations obtained through the commercial volume derivation method, although not common, are reliable when compared to the selected biomass equation and the results from other studies carried out in native forests.Keywords: Biomass; carbon; biomass expansion factor; biomass and carbon models.

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