scholarly journals Potensi Biofisik Hutan Kemasyarakatan Nanggala

2018 ◽  
pp. 145
Author(s):  
Andi Vika Faradiba ◽  
Syamsuddin Millang ◽  
Syamsu Rijal
Keyword(s):  
Carbon Stock ◽  
Diversity Index ◽  
Forest Area ◽  
Total Carbon ◽  
Community Forest ◽  
Species Diversity Index ◽  
Farmer Groups ◽  
Important Value Index ◽  
Common Plant ◽  
Total Carbon Stock

This study aims to analyze the biophysical potential of Nanggala Community Forest Area by inventorying vegetation types at each growth stage, calculating carbon stock, Important Value Index (IVI), and analyzing the species diversity index, and the types of NTFPs utilized. This research was conducted by taking observation plots and recording plant species and measuring tree diameter, as well as interviews with community forest farmer groups. The results showed that pine type is the most common plant in the growth category of trees, while in the growth category of piles, stakes, and seedlings are dominated by coffee. The total carbon stock of Nanggala community forest area averaged 100,93 ton per ha, the highest IVI value was 78,93% in pine type for tree growth category and 67,85% in coffee for pile growth category. The value of H 'in the community forest area in the Saddang watershed is categorized as being at all levels of growth. The NTFP’s potential spread in the location of the research object consists of honey, sugar palm, and bamboo.

scholarly journals Estimasi Karbon Tersimpan Pada Hutan Rakyat Di Pekon Kelungu Kabupaten Tanggamus

2017 ◽  
Vol 5 (1) ◽  
pp. 128
Author(s):  
Liana Ristiara ◽  
Rudi Hilmanto ◽  
Duryat Duryat
Keyword(s):  
Carbon Stock ◽  
Forest Degradation ◽  
Agroforestry System ◽  
Allometric Equation ◽  
Total Carbon ◽  
Community Forest ◽  
Dead Tree ◽  
Tree Component ◽  
Important Value Index ◽  
The Village

The increasing rates of forest degradation and deforestation has been decreasing carbonstocks of forest. Pekon kelungu is one of the village that developing the community forestusing agroforestry system that is also has a function as a carbon stock. The research wasconducted to determine the dominant vegetation and to predict the amount of above groundcarbon stock at the community forest in Pekon Kelungu. The Important Value Index (IVI) wascalculated to measure plants domination.  Allometric equation was used to measure carbonstored for living and dead tree, volume formulas for necromass and Biomass ExpansionFactor formula for litter and seedlings. Durian, cacao and campaca is the dominat tree poleand seedling, respectively. The total carbon of above ground biomass of community forest inPekon Kelungu is amounted to 101,61 ton/ha. Carbon stored on tree component is amountedto 99,92 ton/ha, necromass is amounted to 0,81 ton/ha, litter is amounted to 0,87 ton/ha andseedling is amounted to 0,02 ton/ha.Keyword : carbon stock,community forest, IVI,

scholarly journals Estimation of carbon stock in Bimbia Bonadikombo coastal community forest, south west region, Cameroon: an implication for climate change mitigation

2018 ◽  
Vol 6 (10) ◽  
Author(s):  
Longonje. N. Simon ◽  
Roy , L. Mbua ◽  
Etongwe Roger
Keyword(s):  
Organic Carbon ◽  
Carbon Stock ◽  
Global Climate ◽  
Forest Degradation ◽  
Total Carbon ◽  
Community Forest ◽  
Monetary Benefit ◽  
Organic Carbon Concentration ◽  
Four Corners ◽  
Total Carbon Stock

Forests are known to play an important role in regulating the global climate. Nowadays, especially in developing countries wide spread deforestation and forest degradation is continuing unknowingly ad deliberately. This study was conducted to estimate carbon stock in undisturbed research section (Dikolo Penisula) of Bimbia Bonadikombo Community Forest (BBCF). Three transects were created in the research plot and fifteen plots of 10m x10m were laid systematically along each transects, and five  sub plots of  1m x1m quadrats were  laid within 10m x10m i.e.  at the four corners and  middle.  Trees data (DBH≥2.5cm and Height) were measured in the 10x10m plots. Soil, litter herbs and grass data were collected in the 1x1 m plots.  The litters, herbs and grass (LHG) were weighed on the field and evenly mixed and dried at 650C, to determine dry biomass and percentage of carbon. Soil samples were collected at 30cm depth    (between 0-10, 10-20, 20-30 cm depths) and density cups was used to determine bulk density and percentage (%) of organic carbon concentration. Allometric equations was use to obtain trees biomass and carbon stock. The results revealed that the total carbon stock was 38.61 t·ha-1. The Soil organic carbon (SOC) was 33.9 t·ha-1 that is 87.8%, while the forest trees stored 2.91 t·ha-1 that is 7.5% of the total carbon.  LHGs biomass contributed only1.82t·ha-1 of carbon that is 4.7% of the total carbon stock. The result shows that BBCF is a reservoir of high carbon. To enhance sustainability of the forest potentiality, the carbon sequestration should be integrated with reduced emission from deforestation and degradation (REDD+) and clean development mechanism (CDM) carbon trading system of the Kyoto Protocol to get monetary benefit of CO2 mitigation.

scholarly journals Carbon Sequestration in the Trees of Community Forest:

2019 ◽  
Vol 7 (1) ◽  
pp. 124-129
Author(s):  
Ratna Silwal Gautam
Keyword(s):  
Carbon Sequestration ◽  
Tree Species ◽  
Carbon Stock ◽  
Economic Benefits ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Tree Biomass ◽  
Community Forest ◽  
Condition Estimation ◽  
Important Value Index

Carbon sequestration is one of the main ecosystem services in today’s condition. Estimation of above ground tree biomass and carbon stock is important as it gives ecological and economic benefits to the local people. This study was conducted in the Hasantar Community Forest (HCF) of Nagarjun Municipality, Kathmandu. Concentric circular plots of 12.62m radius were established in five different blocks of HCF for the study of tree species. The main objective of this study was to find out the Important Value Index (IVI), Above Ground Tree Biomass (AGTB) and carbon stocks tree species of HCF. This forest comprises the tree species of families like fagacaeae, moraceae, myrtaceae, fabaceae etc in dominant numbers. Schima wallichii was found ecologically most significant tree species as it possess highest IVI value. The carbon stock of this plant was found as   206.865 t/ha which comprises 27 % of total carbon in HCF. The total above ground tree carbon stock of HCF (55.4 ha.) was found 144.795 t/ha. Int. J. Appl. Sci. Biotechnol. Vol 7(1): 124-129

Carbon stock assessment through above-ground biomass of trees at different forest composition in Mt. Malindawag, Lubilan, Naawan, Misamis Oriental, Philippines

2021 ◽  
Vol 11 (01) ◽  
pp. 100-113
Author(s):  
M. G. Origenes ◽  
R. L. Lapitan
Keyword(s):  
Carbon Stock ◽  
Diversity Index ◽  
Stock Assessment ◽  
Mixed Forest ◽  
Forest Composition ◽  
Above Ground Biomass ◽  
Plantation Forest ◽  
Species Diversity Index ◽  
Ground Biomass ◽  
Number Of Individuals

It is documented that the amounts of carbon stored and its level of degradation in different forests compositions and different types of forest is mostly unknown, Philippines is no exemption as little was done in some places of this country. This study was conducted to assess carbon stock through above ground biomass of trees at different forest composition in Mt. Malindawag. There were three (3) 20m x 20m sample plots (quadrats) (400m2 equivalent to 0.04 ha) established as replicate plots provided with 50m intervals. Forest composition such as the Agroforestry area, mixed forest area and the Plantation forest were assessed in terms of the number of individuals, number of species, diameter, and height to calculate the biomass, tree biomass density as well as the carbon stock. Based on the results of the study conducted in different forest compositions of Mt. Malindawag, plantation forest has the highest carbon stocking rate. However, these results were not significantly different from the other forest composition. This was associated with a higher accumulated diameter, which resulted in higher biomass and eventually carbon stock. Species found in this forest composition are productive and have lesser number of individuals; therefore, there is lesser competition for resources such as light. Such a mechanism might contribute to the higher biomass and carbon stock. However, the result may not be right to other areas due to uncontrollable factors, anthropogenic and environmental factors. Hence, it is recommended to have further studies on areas where trees have similar age, species diversity index as well as stand development and site productivity for a more accurate and quantifiable carbon stock.

scholarly journals Keanekaragaman Jenis Tumbuhan Dan Simpanan Karbon Pada Berbagai Tipe Penggunaan Lahan Di Kabupaten Pesisir Barat Provinsi Lampung

2018 ◽  
Vol 9 (3) ◽  
pp. 167-174
Author(s):  
Dian Ariyanti ◽  
Nurheni Wijayanto ◽  
Iwan Hilwan
Keyword(s):  
Land Use ◽  
Plant Species ◽  
National Park ◽  
Carbon Stock ◽  
Carbon Accumulation ◽  
Total Carbon ◽  
Above Ground Biomass ◽  
Vegetation Analysis ◽  
Coffee Plantation ◽  
Total Carbon Stock

Vegetation is one factor that can decrease carbon accumulation in the atmosphere. The diversity of plant species in each land use has different abilities to absorb carbon in the atmosphere. This research was conducted in Pesisir Barat Regency of Lampung Province on 4 (four) types of land use, namely: (1) natural forest in Balai Kencana Resort, Bukit Barisan National Park (2) oil palm plantation in Pekon Marang, (3) coffee plantation in Pekon Suka Mulya, and (4) agroforestry of repong damar in Pekon Pahmungan. This reserach aims to analyze the diversity of plant species and to calculate the potential of plant carbon stock and carbon sequestration (above ground biomass) using alometric equations in various types of land use in Pesisir Barat Regency. The research method was vegetation analysis to learn about the diversity of plant species and calculation of carbon stock using alometric equations. The results showed that the composition of plant species in Bukit Barisan NP found 83 plant species belonging to 37 families, in the palm plantation found 9 plant species belonging to 8 families, in the coffee garden found 17 plant species belonging to 11 families, and in agroforestry of repong damar found 73 plant species belonging to 33 families. The total carbon stock potential was 376.16 ton/ha and carbon sequestrated. 1 257.20 ton/ha with the highest carbon uptake available at repong damar agroforestry site of 901.11 ton/ha.Keywords: aboveground biomass, carbon, diversity, pesisir barat regency

scholarly journals ESTIMATION OF ABOVEGROUND CARBON STOCK USING SAR SENTINEL-1 IMAGERY IN SAMARINDA CITY

2021 ◽  
Vol 18 (1) ◽  
pp. 103
Author(s):  
Bayu Elwanto Bagus Dewanto ◽  
Retnadi Heru Jatmiko
Keyword(s):  
Carbon Stock ◽  
Open Space ◽  
Exponential Model ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Empirical Modelling ◽  
Aboveground Carbon ◽  
Accuracy Test ◽  
Estimated Error ◽  
Total Carbon Stock

Estimation of aboveground carbon stock on stands vegetation, especially in green open space, has become an urgent issue in the effort to calculate, monitor, manage, and evaluate carbon stocks, especially in a massive urban area such as Samarinda City, Kalimantan Timur Province, Indonesia. The use of Sentinel-1 imagery was maximised to accommodate the weaknesses in its optical imagery, and combined with its ability to produce cloud-free imagery and minimal atmospheric influence. The study aims to test the accuracy of the estimated model of above-ground carbon stocks, to ascertain the total carbon stock, and to map the spatial distribution of carbon stocks on stands vegetation in Samarinda City. The methods used included empirical modelling of carbon stocks and statistical analysis comparing backscatter values and actual carbon stocks in the field using VV and VH polarisation. Model accuracy tests were performed using the standard error of estimate in independent accuracy test samples. The results show that Samarinda Utara subdistrict had the highest carbon stock of 3,765,255.9 tons in the VH exponential model. Total carbon stocks in the exponential VH models were 6,489,478.1 tons, with the highest maximum accuracy of 87.6 %, and an estimated error of 0.57 tons/pixel.

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 Study on Carbon Stock of Leasehold Forests of Katakuti VDC, Dolakha District

2014 ◽  
Vol 5 ◽  
pp. 63-67
Author(s):  
Tshering Dolma Lama ◽  
Ram Asheshwar Mandal
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Leaf Litter ◽  
Random Sampling ◽  
Carbon Stock ◽  
Carbon Stocks ◽  
Soil Samples ◽  
Total Carbon ◽  
Different Depths ◽  
Total Carbon Stock

A study was carried on ten leasehold forests of Katakuti VDC, Dolakha district to estimate the carbon stock. Random sampling was used to collect the biophysical data of trees/ poles, sapling, root and leaf litter, herb and grass. Then, the biomass was calculated using the respective equation and the calculated biomass stock was converted into carbon stock multiplying with 0.47. Similarly, the soil samples were collectewd from different depths of 0-10 cm, 10-20 cm and 20-30 cm to determine the soil organic carbon. Lastly, all analyzed data were compiled to get total carbon stocks. The result showed that the estimated total carbon stock per ha was found to be highest in Srijana leasehold forest with 125.493 t C/ha. The estimated total carbon stock of 10 leasehold forest was found to be 1439.033 tons. Here, Leasehold forests have been an emerging and successful example in conserving forests in epal. So, it is recommended to extend such studies in other parts of Nepal. DOI: http://dx.doi.org/10.3126/init.v5i0.10255   The Initiation 2013 Vol.5; 63-67

scholarly journals  Above- and below-ground carbon stock estimation in a natural forest of Bangladesh

2012 ◽  
Vol 58 (No. 8) ◽  
pp. 372-379 ◽  
Author(s):  
M.R. Ullah ◽  
M. Al-Amin
Keyword(s):  
Carbon Stock ◽  
Total Carbon ◽  
Systematic Sampling ◽  
Forest Sector ◽  
Sampling Point ◽  
Trading System ◽  
Soil Carbon Stock ◽  
Below Ground ◽  
Systematic Sampling Method ◽  
Total Carbon Stock

The research was aimed to estimate above- and below-ground carbon stock in Tankawati natural hill forest of Bangladesh. A systematic sampling method was used to identify each sampling point through Global Positioning System (GPS). Loss on ignition and wet oxidation method were used to estimate biomass and soil carbon stock, respectively. Results revealed that the total carbon stock of the forest was 283.80 t&middot;ha<sup>&minus;1 </sup>whereas trees produce 110.94&nbsp;t&middot;ha<sup>&minus;1</sup>, undergrowth (shrubs, herbs and grass) 0.50 t&middot;ha<sup>&minus;1</sup>, litter fall 4.21 t&middot;ha<sup>&minus;1 </sup>and soil 168.15 t&middot;ha<sup>&minus;1 </sup>(up to 1m depth). The forest in the study area is a reservoir of carbon, as it has a good capacity to stock carbon from the atmosphere. To realize the forest sector potentiality inBangladesh, the carbon sequestration should be integrated with the Clean Development Mechanism (CDM) carbon trading system of the Kyoto Protocol. &nbsp; &nbsp;

scholarly journals A Carbon Management Diagram for Oak-hickory Forests in Southern Ohio

2011 ◽  
Vol 28 (3) ◽  
pp. 161-165 ◽  
Author(s):  
Roger A. Williams ◽  
Yuhua Tao
Keyword(s):  
Carbon Stock ◽  
Basal Area ◽  
Site Index ◽  
Tree Size ◽  
Total Carbon ◽  
Site Quality ◽  
Oak Forests ◽  
Carbon Management ◽  
Tree Diameter ◽  
Total Carbon Stock

Abstract A carbon management diagram for use in oak-hickory forests in southern Ohio has been developed to allow easier quantification of total forest carbon stock. The total carbon stock is positively correlated to basal area and average stand diameter but poorly correlated to the number of trees per acre. The total amount of carbon stored in these forests is going to be influenced by age and site quality to the extent that age and site influence basal area and the average tree size. Accordingly, not all stands considered to be fully to overstocked store the most carbon. Rather, it is a combination of basal area and average tree size that determines the total carbon stored, with the carbon stock in the forest increasing with an increase in both basal area and average tree diameter. Examples illustrating the use of the diagram are presented for two oak forests on oak site indexes 60 and 80. Both forests are overstocked at age 100 years, but the forest on site index 60 stores 77 tons/ac of total carbon compared with 103 tons/ac on site index 80.

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