scholarly journals Above-ground biomass and carbon stocks in a secondary forest in comparison with adjacent primary forest on limestone in Seram, the Moluccas, Indonesia

2014 ◽  
Author(s):  
Stas S.M.
Keyword(s):  
Secondary Forest ◽  
Carbon Stocks ◽  
Primary Forest ◽  
Above Ground Biomass ◽  
Ground Biomass

Allometric relationships and community biomass estimates for some dominant eucalypts in Central Queensland woodlands

2000 ◽  
Vol 48 (6) ◽  
pp. 707 ◽  
Author(s):  
W. H. Burrows ◽  
M. B. Hoffmann ◽  
J. F. Compton ◽  
P. V. Back ◽  
L. J. Tait
Keyword(s):  
Basal Area ◽  
Carbon Stocks ◽  
Allometric Equations ◽  
Allometric Relationships ◽  
Above Ground Biomass ◽  
Greenhouse Gas Inventory ◽  
Individual Tree ◽  
Ground Biomass ◽  
Eucalyptus Crebra ◽  
The Mean

Allometric equations are presented relating stem circumference to branch, leaf, trunk, bark, total above-ground and lignotuber biomass for Eucalyptus crebra F.Muell. (woodland trees), E. melanophloia Sol. Ex Gaerth. (both woodland and regrowth community trees) and E. populnea F.Muell. (woodland trees). There were no significant differences (P > 0.05) between the slopes of individual lognormal regression lines plotting stem circumference against total above-ground biomass for E. crebra, E. melanophloia and E. populnea. Root-to-shoot ratios and leaf area indices were also determined for the stands contributing to each regression. The regressions were then applied to measured eucalypt stems in the associated plant community to give estimates of each stand’s component (eucalypt tree fraction only) biomass per hectare. These eucalypt regressions were next applied to measured stems of each species on a total of 33 woodland sites in which these eucalypts individually contributed > 75% of total site basal area. Above-ground biomass/basal area relationships averaged 6.74 0.29 t m–2 basal area for 11 E. crebra sites, 5.11 0.28 t m–2 for 12 E. melanophloia sites and 5.81 0.11 t m–2 for 10 E. populnea sites. The mean relationship for all sites was 5.86 0.18 t m–2 basal area. The allometric relationships presented at both individual tree and stand levels, along with calculated biomass : basal area relationships, enable ready estimates to be made of above-ground biomass (carbon stocks) in woodlands dominated by these eucalypts in Queensland, assuming individual stem circumferences or community basal areas are known. However, to document changes in carbon stocks (e.g. for Greenhouse Gas Inventory or Carbon Offset trading purposes), more attention needs to be placed on monitoring fluxes in the independent variables (predictors) of these allometric equations.

scholarly journals Estimation of Above Ground Biomass and carbon stocks of Tectona grandis and Gmelina arborea stands in Gorontalo Province, Indonesia

2021 ◽  
Vol 22 (3) ◽  
Author(s):  
YOSEP RUSLIM ◽  
Daud Sandalayuk ◽  
Rochadi Kristiningrum ◽  
Andi Sahri Alam
Keyword(s):  
Tectona Grandis ◽  
Maximum Growth ◽  
Carbon Stocks ◽  
Maximum Point ◽  
Above Ground Biomass ◽  
Gmelina Arborea ◽  
Plantation Forest ◽  
Annual Increment ◽  
Ground Biomass ◽  
The Relationship

Abstract. Ruslim Y, Sandalayuk D, Kristiningrum R, Alam AS. 2021. Estimation of Above Ground Biomass and carbon stocks of Tectona grandis and Gmelina arborea stand in Gorontalo Province, Indonesia. Biodiversitas 22: 1497-1508. Plantation forest plays an important role to fulfill timber needs, while more recently plantation forest is increasingly acknowledged to sequester and store carbon which can mitigate climate change and also as carbon sequestration for the environment. This study aimed to calculate the stand potential, stand biomass and carbon stocks of teak (Tectona grandis) and gmelina (Gmelina arborea) stands in the context of land after being abandoned in Gorontalo Province, Indonesia. Four plots with size of one hectare each were sampled in which each species (i.e. teak and gmelina) consisted of two plots. In each plot, the diameter at the breast-high (1.3 m) and the height of each individual were recorded. Data analysis included growth parameters of the stands (i.e., Mean Annual Increment/MAI and Current Annual Increment/CAI) and above-ground biomass and carbon sequestered by the stands. Simple linear regression using polynomial trendline was used to determine the relationship between variables and the degree of the relationship. The results showed that the maximum growth of teak stands at Plots I and II reached a maximum point at the age of 32 and 25 years with the total volume of 307.50 and 254.81 m3ha-1, respectively. While the maximum growth of gmelina stands at Plots I and II reached a maximum point at the age of 15 years with the total volume of 190.54 and 251.80 m3ha-1, respectively. The biomass content in teak stands at Plots I and II and gmelina stands at Plots I and II were respectively 267.83; 221.94; 104.03 and 137.48 tons ha-1. Meanwhile, the carbon content in teak stands at Plots I and II and gmelina stands at Plots I and II were respectively 125.88; 104.31; 48.90; and 64.62 tons ha-1. The results of the regression analysis suggest that there was strong relationship between carbon sequestered and the age of the stands as well as total basal area. The results of this study suggest that Tectona grandis is more potential to be developed as plantation forest than Gmelina arborea when aiming at carbon sequestration and biomass production.

The potential of synthetic aperture radar (SAR) for quantifying the biomass of Australia's woodlands.

2000 ◽  
Vol 22 (1) ◽  
pp. 124 ◽  
Author(s):  
RM Lucas ◽  
AK Milne ◽  
N Cronin ◽  
C Witte ◽  
R Denham
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Strong Relationship ◽  
Carbon Stocks ◽  
Synthetic Aperture ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Branch Biomass ◽  
Aperture Radar

The potential of Synthetic Aperture Radar (SAR) for estimating the above ground and component biomass of woodlands in Australia is demonstrated using two case studies. Case Study 1 (In,june; central Queensland) shows that JERS-1 SAR L HH data can be related more to the trunk than the leaf and branch biomass of woodlands. A strong relationship between L HH and above ground biomass is obtained when low biomass pasture sites are included. Case Study I1 (Talwood, southern Queensland) determines that L and P band data can be related both to trunk and branch biomass, due to the similarity in the orientation and size of these scattering elements, and also to total above ground biomass. Saturation of the C. L and P band data occurred at approximately 20-30 Mglha; 60-80 Mglha and 80-100 Mglha. These preliminary results indicate that data from SAR are useful for quantifying changes in carbon stocks resulting from land use change in Australia's woodlands and for applications in rangeland assessment and management. Key words: remote sensing, biomass, woodlands

scholarly journals Allometric equations to estimate the above-ground biomass of trees in the tropical secondary forests of different ages

2019 ◽  
Vol 20 (9) ◽  
Author(s):  
Karyati Karyati ◽  
ISA B. IPOR ◽  
ISMAIL JUSOH ◽  
MOHD. EFFENDI WASLI
Keyword(s):  
Secondary Forest ◽  
Floristic Composition ◽  
Allometric Equations ◽  
Secondary Forests ◽  
Strong Correlations ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Dry Biomass ◽  
Different Ages ◽  
Tropical Secondary Forest

Abstract. Karyati, Ipor IB, Jusoh I, Wasli ME. 2019. Allometric equations to estimate the above-ground biomass of trees in the tropical secondary forests of different ages. Biodiversitas 20: 2427-2436. The allometric equations for trees of secondary forests of different ages in abandoned lands after shifting cultivation are still rarely available. The objective of this study was to develop allometric equations to estimate the above-ground biomass (AGB) of trees (DBH of > 5 cm) in the tropical secondary forest of different ages, namely 5, 10, and 20 years after abandonment. The selected trees in this study represented the dominant and rare species and DBH classes in each study site. The trunk dry biomass and AGB showed strong correlations (adjusted R2= 0.59-0.95) with diameter at breast height (DBH) and height. The leaf and branch dry biomass had weak correlations with height (adjusted R2=0.36-0.50). The developed allometric equations were suitable for trees of secondary forests of different ages, because the selected samples used in the destructive method were based on a field inventory data of forest structure and floristic composition.

scholarly journals Evaluation of carbon stocks in above- and below-ground biomass in Central Africa: case study of Lesio-louna tropical rainforest of Congo

2014 ◽  
Vol 11 (7) ◽  
pp. 10703-10735 ◽  
Author(s):  
X. Liu ◽  
R. Ekoungoulou ◽  
J. J. Loumeto ◽  
S. A. Ifo ◽  
Y. E. Bocko ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Secondary Forest ◽  
Central Africa ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Gallery Forest ◽  
Ground Biomass ◽  
Blue Lake ◽  
Below Ground ◽  
Non Destructive

Abstract. The study was aimed to estimate the carbon stocks of above- and below-ground biomass in Lesio-louna forest of Congo. The methodology of allometric equations was used to measure the carbon stocks of Lesio-louna natural forest. We are based precisely on the model II which is also called non-destructive method or indirect method of measuring carbon stocks. While there has been use of parameters such as the DBH and wood density. The research was done with 22 circular plots each 1256 m2. In the 22 plots studied, 19 plots are in the gallery forest and three plots in the secondary forest. Also, 22 circular plots were distributed in 5 sites studies of Lesio-louna forest, including: Inkou forest island, Iboubikro, Ngoyili, Blue lake and Ngambali. So, there are two forest types (secondary forest and gallery forest) in this forest ecosystem. In the 5 sites studied, we made measurements on a total of 347 trees with 197 trees for the class of 10–30 cm diameter, 131 trees for the class of 30–60 cm diameter and 19 trees in the diameter class > 60 cm. The results show that in the whole forest, average carbon stock for the 22 plots of the study was 168.601 t C ha−1 for AGB, or 81% and 39.551 t C ha−1 for BGB, or 19%. The total carbon stocks in all the biomass was 3395.365 t C for AGB, which is 3.395365 × 10–6 Gt C and 909.689934 t C for BGB, which was 9.09689934 × 10–7 Gt C. In this forest, the carbon stock was more important in AGB compared to BGB with respectively 3395.365 t C against 909.689934 t C. Plot10 (AGB = 363.899 t C ha−1 and BGB = 85.516 t C ha−1) was the most dominant in terms of carbon quantification in Lesio-louna.

scholarly journals Ecuaciones alométricas de biomasa aérea para la estimación de los contenidos de carbono en manglares del Caribe Colombiano

2016 ◽  
Vol 64 (2) ◽  
pp. 897 ◽  
Author(s):  
Adriana Yepes
Keyword(s):  
Marine Protected Area ◽  
Mangrove Ecosystem ◽  
Carbon Potential ◽  
Carbon Stocks ◽  
Avicennia Germinans ◽  
Total Carbon ◽  
Mangrove Forests ◽  
Above Ground Biomass ◽  
Allometric Models ◽  
Ground Biomass

<p><strong>Abstract: Tree above-ground biomass allometries for carbon stocks estimation in the Caribbean mangroves in Colombia</strong></p><p>In this study, we analyzed the above ground biomass of the species <em>Rhizophora mangle</em> and <em>Avicennia germinans</em> in the mangrove ecosystem located at Marine Protected Area called in Spanish Distrito de Manejo Integrado (DMI) Cispatá-Tinajones-La Balsa, Caribbean Colombian coast. We harvest 30 individuals of each species in field and built allometric models in order to estimates of aboveground biomass with low levels of uncertainty. Our results indicate that the above ground biomass of mangrove forests in the DMI Colombian Caribbean is the 129.69±20.24Mg/ha, the equivalent to 64.85±10.12MgC/ha. The DMI has an area of 8 570.9ha in mangrove forests, and we estimated the total carbon potential stored is about 555 795.93Mg. Although there are pantropical and national above ground biomass allometric models, most of them do not discriminate mangrove forests, despite being particular ecosystems. The equations generated in this study can be considered as an alternative for the assessment of carbon stocks in above ground biomass of mangrove forests in Colombia, and can be used for analysis at a more detailed scale and they are useful for determinate the potential for carbon storage in mangrove forests like an option for the country in forest conservation and emission reduction by deforestation.</p>

scholarly journals ANALISIS KANDUNGAN BIOMASSA DAN KARBON TERSIMPAN (Carbon Stock) PADA PSP (Plot Sampling Parmanent) HUTAN NEGERI SOYA KOTA AMBON.

2016 ◽  
Vol 1 (1) ◽  
pp. 72 ◽  
Author(s):  
Yulianus D Komul ◽  
Gun Mardiatmoko ◽  
Rohny S. Maail
Keyword(s):  
Carbon Stock ◽  
Secondary Forest ◽  
Forest Biomass ◽  
Carbon Stocks ◽  
Primary Forest ◽  
Total Biomass ◽  
Secondary Forests ◽  
Plot Sampling ◽  
Primary Forests ◽  
Sampling Plot

Carbon stocks while amount of carbon stored on vegetation, other biomass and soil. Effort to reduce greenhouse gas concentrations at atmosphere (emissions) ito reduce CO2 into air. Amount of CO2 on air must be controlled by increasing of CO2 by plants as much as possible and reducing release of emissions as low as possible. Carbon stored reserves should be measured as attempt to carbon stocks in forest to decrease carbon emissions and adverse effects. Research do in September 2015 at parmanent sampling plot on 2012 at Soya included Mount Sirimau . Method of biomass and carbon stocks on Measurement and Calculation of Carbon Stock overall primary forests and secondary forests consist of 409. Total biomass content for For strata of primary forest biomass is 510 with 3590 tons / ha - 786.6950 tons / ha with average content of biomass at 640.4733 tons/ ha. .At secondary forest is 210.1608 tons / ha to 436.6976 tons / ha with 289.4509 tons / ha. Carbon-stored at primary forest is 239.9190 tons / ha to 369.0228 tons / ha with 301.1112 tons / ha. On secondary forest amount of carbon stored is 88.9805 tons / ha to 139.7868 tons / ha and 110.1785 tons / ha.

Assessing changes in the above ground biomass and carbon stocks of Lidder valley, Kashmir Himalaya, India

2016 ◽  
Vol 32 (7) ◽  
pp. 717-734 ◽  
Author(s):  
Irfan Rashid ◽  
Mudasir Ahmad Bhat ◽  
Shakil Ahmad Romshoo
Keyword(s):  
Carbon Stocks ◽  
Kashmir Himalaya ◽  
Above Ground Biomass ◽  
Ground Biomass
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