scholarly journals KARAKTERISTIK SPASIAL DAN POTENSI CADANGAN KARBON DI BENTANG ALAM MBELILING NUSA TENGGARA TIMUR

2021 ◽  
Vol 21 (2) ◽  
pp. 65
Author(s):  
Serlina H. Oktian ◽  
Luluk Setyaningsih ◽  
Nengsih Anen ◽  
Wahyu C. Adinugroho
Keyword(s):  
Aboveground Biomass ◽  
Carbon Stock ◽  
Vegetation Index ◽  
Model Development ◽  
Belowground Biomass ◽  
Carbon Stocks ◽  
Carbon Pools ◽  
Average Value ◽  
Comprehensive Information ◽  
Index Value

Providing comprehensive information on carbon stock data on all carbon pools needs to be done to plan and measure climate change mitigation efforts that are carried out. This research was conducted by analyzing spatial characteristics and estimating carbon stocks with model development. Spatial analysis is carried out to provide an overview of the distribution of spatial values that can use the built model. Estimation of carbon stock is carried out by building a carbon stock estimator model that correlates the value of remote sensing parameters with the value of carbon stocks in all carbon storage sources. The characteristics of the vegetation index value in the forest category are greater than in the non-forest category and vice versa for the distribution of the digital number average value. The model development is only carried out on aboveground biomass and belowground biomass carbon pools. The results of the analysis of the estimation of carbon stocks based on the selected model showed the potential for aboveground biomass was 5,200,841.45 tC and the potential for belowground biomass was 1,317,948.10 tC.

scholarly journals Cocoa plantation carbon stock at different years after planting (5,10,15) in Tomoni Beringin Jaya Village, East Luwu, South Sulawesi, Indonesia

2021 ◽  
Vol 921 (1) ◽  
pp. 012011
Author(s):  
Nahdia ◽  
S A Paembonan ◽  
Nasaruddin
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Aboveground Biomass ◽  
Carbon Stock ◽  
Belowground Biomass ◽  
Soil Bulk Density ◽  
Carbon Stocks ◽  
South Sulawesi ◽  
Plantation Age ◽  
Cocoa Plantation

Abstract This study aimed to determine cocoa carbon stocks based on the conditions of cocoa plantations in Tomoni Beringin Jaya Village, East Luwu, South Sulawesi, Indonesia. Carbon stocks were estimated from aboveground and belowground biomass using an allometric methodology. Sample sites were cocoa plantations; sampling intensity was 30% of the land planted with cocoa for 5 years (n = 214), 10 years (n=229) and 15 years (n=329), soil sampling disturb (measure soil organic carbon), un disturb (measure bulk soil bulk density) and soil bulk density at depth 0-10 cm and 10-20 cm. Carbon stock cocoa aboveground biomass at the age of 5 years (M45) was 1.89 ton C ha-1 and belowground biomass was 0.56 ton C ha-1 with proportion 77.19%:22.81%. Carbon stock cocoa aboveground biomass at the age of 10 year (BR25) was 3.66 ton C ha-1 and belowground biomass 1.01 ton C ha-1 with a proportion 78.37%:21.63%. Carbon stock cocoa aboveground biomass at 15 year (BR25) was 4.58 ton C ha-1 and belowground biomass of 1.21 ton C ha-1 with a proportion 79.07%:20.93%. Cocoa carbon stock at 5 year, 10 year, and 15 year respectively increased, nevertheless mean annual carbon stock cocoa decreased in 5 years cocoa aboveground biomass was 0.37 ton C ha-1 and belowground biomass 0.11 tonCa-1. Carbon stock cocoa 10 year aboveground biomass 0.36 ton C ha-1 and belowground biomass 0.10 ton C ha-1. Carbon stock cocoa 15 year aboveground biomass 0.30 ton C ha-1 and belowground biomass 0.08 ton C ha-1. Soil organic carbon showed dynamic under different year cocoa plantation. Soil organic carbon in cocoa plantation age 5 year was 0.031 tonCha-1, cocoa plantation age 10 year was 0.034 ton C ha-1, and cocoa plantation age 15 year was 0.043 ton C ha-1.

scholarly journals Estimation of Carbon Stock Stands using EVI and NDVI Vegetation Index in Production Forest of Lembah Seulawah Sub-District, Aceh Indonesia

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Jhon Pandapotan Situmorang ◽  
Sugianto Sugianto ◽  
Darusman .
Keyword(s):  
Regression Analysis ◽  
Carbon Stock ◽  
Vegetation Index ◽  
Close Correlation ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Coefficient Of Determination ◽  
Average Value ◽  
Vegetation Indexes ◽  
Aceh Province

This study aims to determine the distribution of the vegetation indexes to estimate the carbon stocks of forest stands in the Production Forest of Lembah Seulawah sub-district. Aceh Province, Indonesia. A non-destructive method using allometric equations and landscape scale method were applied, where in carbon stocks at the points of samples are correlated with the index values of each transformation of the vegetation indexes; EVI and NDVI.  Results show that EVI values of study area from 0.05 to 0.90 and NDVI values from 0.17 to 0.85. The regression analysis between EVI with carbon stock value of sample locations equation is Y = 151.7X-39.76. with the coefficient of determination (R2) is 0.83. From this calculation, the total carbon stocks in the Production Forest area of Lembah Seulawah sub-district using EVI is estimated 790.344.41 tonnes, and the average value of carbon stocks in average is 51.48 tons per hectare.  Regression analysis between NDVI values at the research locations for the carbon stack measured samples is Y = 204.Xx-102.1 with coefficient of determination (R2) is 0.728. Total carbon stocks in production forest of Lembah Seulawah sub-district using NDVI is estimated 711.061.81 tones. and the average value of carbon stocks is 46.32 tons per hectare. From the above results it can be concluded that the vegetation indexes: EVI and NDVI are vegetation indexed that have a very close correlation with carbon stocks stands estimation. The correlation between EVI with carbon stock and the correlation between NDVI with carbon stock is not significantly different

Effects of grazing intensity on organic carbon stock characteristics in Stipa breviflora desert steppe vegetation soil systems

2017 ◽  
Vol 39 (2) ◽  
pp. 169 ◽  
Author(s):  
Heyun Wang ◽  
Zhi Dong ◽  
Jianying Guo ◽  
Hongli Li ◽  
Jinrong Li ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Aboveground Biomass ◽  
Carbon Stock ◽  
Belowground Biomass ◽  
Total Carbon ◽  
Desert Steppe ◽  
Light Fraction Organic Carbon ◽  
Grazing Intensities ◽  
Organic Carbon Stock

Grassland ecosystems, an important component of the terrestrial environment, play an essential role in the global carbon cycle and balance. We considered four different grazing intensities on a Stipa breviflora desert steppe: heavy grazing (HG), moderate grazing (MG), light grazing (LG), and an area fenced to exclude livestock grazing as the Control (CK). The analyses of the aboveground biomass, litter, belowground biomass, soil organic carbon and soil light fraction organic carbon were utilised to study the organic carbon stock characteristics in the S. breviflora desert steppe under different grazing intensities. This is important to reveal the mechanisms of grazing impact on carbon processes in the desert steppe, and can provide a theoretical basis for conservation and utilisation of grassland resources. Results showed that the carbon stock was 11.98–44.51 g m–2 in aboveground biomass, 10.43–36.12 g m–2 in plant litters, and 502.30–804.31 g m–2 in belowground biomass (0–40 cm). It was significantly higher in CK than in MG and HG. The carbon stock at 0–40-cm soil depth was 7817.43–9694.16 g m–2, and it was significantly higher in LG than in CK and HG. The total carbon stock in the vegetation-soil system was 8342.14–10494.80 g m–2 under different grazing intensities, with the largest value in LG, followed by MG, CK, and HG. About 90.54–93.71% of the total carbon in grassland ecosystem was reserved in soil. The LG and MG intensities were beneficial to the accumulation of soil organic carbon stock. The soil light fraction organic carbon stock was 484.20–654.62 g m–2 and was the highest under LG intensity. The LG and MG intensities were beneficial for soil nutrient accumulation in the desert steppe.

The allometric relationships for estimating above-ground biomass and carbon stock in an abandoned traditional garden in East Kalimantan, Indonesia

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Karyati Karyati ◽  
Kusno Yuli Widiati ◽  
Karmini Karmini ◽  
Rachmad Mulyadi
Keyword(s):  
Aboveground Biomass ◽  
Carbon Stock ◽  
Global Climate ◽  
Tree Height ◽  
Carbon Stocks ◽  
Allometric Equations ◽  
Leaf Biomass ◽  
Allometric Relationships ◽  
Plant Parts ◽  
East Kalimantan

Abstract. Karyati, Widiati KY, Karmini, Mulyadi R. 2021. The allometric relationships for estimating aboveground biomass and carbon stock in an abandoned traditional garden in East Kalimantan, Indonesia. Biodiversitas 22: 751-762. The existence of traditional gardens after abandonment process has a role based on ecological and economic aspects. To estimate the biomass and carbon stock in the abandoned traditional gardens, specific allometric equations are required. The aim of this study was to develop allometric equations to estimate biomass of plant parts (leaf, branch, trunk, and aboveground biomass (AGB)) through tree dimensions variables (diameter at breast height (DBH), total tree height, and tree bole height). The relationships between stem biomass, AGB and tree dimensions were very strong indicated by the relatively high adjusted R2 value. The moderately strong relationships were shown between branch biomass and tree dimensions, meanwhile, the relationship between leaf biomass and tree dimensions was very weak. The specific allometric equations for estimating biomass and carbon stocks that are suitable for tree species and/or forest stands at a particular site are very useful for calculating the carbon stocks and sequestration. The appropriate biomass and carbon stock calculation are needed to determine policies related to global climate change.

scholarly journals Biomass and total carbon in oak forests of Southern Colombian Andes: contributions to the REDD+ project-wide approach.

2016 ◽  
Vol 64 (1) ◽  
pp. 399
Author(s):  
Adriana Yepes ◽  
Andrés Sierra ◽  
Luz Milena Niño ◽  
Manuel López ◽  
César Garay ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Aboveground Biomass ◽  
Belowground Biomass ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Biomass Estimation ◽  
Natural Forests ◽  
Colombian Andes ◽  
Greenhouse Emission

Carbon estimations in tropical forests are very important to understand the role of these ecosystems in the carbon cycle, and to support decisions and the formulation of mitigation and adaptive strategies to reduce the greenhouse emission gases (GHG). Nevertheless, detailed ground-based quantifications of total carbon stocks in tropical montane forests are limited, despite their high value in science and ecosystem management (e.g. REDD+). The objective was to identify the role of these ecosystems as carbon stocks, to evaluate the contribution of the pools analyzed (aboveground biomass, belowground biomass and necromass), and to make contributions to the REDD+ approach from the project scale. For this study, we established 44 plots in a heterogeneous landscape composed by old-grown forests located in the Southern Colombian Andes. In each plot, all trees, palms and ferns with diameter (D) ≥ 15 cm were measured. In the case of palms, the height was measured for 40 % of the individuals, following the Colombia National Protocol to estimate biomass and carbon in natural forests. National allometric equations were used to estimate aboveground biomass, and a global equation proposed by IPCC was used for belowground biomass estimation; besides, palms’ aboveground biomass was estimated using a local model. The necromass was estimated for dead standing trees and the gross debris. In the latter case, the length and diameters of the extremes in the pieces were measured. Samples for wood density estimations were collected in the field and analyzed in the laboratory. The mean total carbon stock was estimated as 545.9 ± 84.1 Mg/ha (± S.E.). The aboveground biomass contributed with 72.5 %, the belowground biomass with 13.6 %, and the necromass with 13.9 %. The main conclusion is that montane tropical forests store a huge amount of carbon, similar to low land tropical forests. In addition, the study found that the inclusion of other pools could contribute with more than 20 % to total carbon storage, indicating that estimates that only include the aboveground biomass, largely underestimate carbon stocks in tropical forest ecosystems. These results support the importance of including other carbon pools in REDD+ initiatives’ estimations. 

scholarly journals POLA DISTRIBUSI ABOVEGROUND BIOMASSA TEGAKAN MANGROVE DALAM KAITANYA DENGAN STOKS KARBON DI KAWASAN PESISIR SUNGAI PINYUH KABUPATEN MEMPAWAH KALIMANTAN BARAT

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eko Subrata ◽  
Gusti Hardiansyah ◽  
Rafdinal Rafdinal
Keyword(s):  
Aboveground Biomass ◽  
Mangrove Forest ◽  
Carbon Stock ◽  
Environmental Benefits ◽  
Disaster Mitigation ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Average Value ◽  
Avicennia Officinalis ◽  
Aboveground Tree Biomass

Mangrove ecosystem is one of the largest carbon storage sheds on earth, has enormous environmental benefits in disaster mitigation, as well as a source of livelihood for coastal communities. The purpose of this research is to know the aboveground biomass distribution of mangrove forest stand and to know the potency of carbon reserve of mangrove forest area of Mempawah Regency. The research was conducted from September to October 2017 in mangrove forest of Sungai Pinyuh district of Mempawah Regency. Aboveground biomass measurements are performed in a 50 x 50 m measuring plot, data collection is performed by listing each stand with dbh ? 5 cm and grouping it in diameter classes. Aboveground tree biomass estimation was performed using allometric equations and organic carbon stocks calculated by converting biomass by conversion factor of 0.5. The results showed the biomass value ranged from 32.37 to 55.84 tons / ha with an average value of 40.28 tons / ha. The highest biomass is distributed in diameter class 15-25 cm with the percentage 23.10% and lowest in class diameter> 55 cm with contribution equal to 13.39%. Carbon stock in mangrove stand biomass ranged from 16.18-27.91ton C / ha with average value 20.14 ton C / ha. Avicennia officinalis is an important type with the contribution of carbon reserves of 98.99%.Keywords: aboveground biomass, Carbon stock, mangrove forest, Mempawah Regency.AbstrakEkosistem mangrove merupakan salah satu gudang penyimpanan karbon terbesar di bumi, memiliki manfaat lingkungan yang besar dalam mitigasi bencana, serta sebagai sumber mata pencaharian masyarakat pesisir. Tujuan penelitian ini adalah untuk mengetahui distribusi aboveground biomass tegakan hutan mangrove dan mengetahui besarnya potensi cadangan karbon kawasan hutan mangrove Kabupaten Mempawah. Penelitian dilaksanakan dari bulan September hingga Oktober 2017 di hutan mangrove kecamatan Sungai Pinyuh Kabupaten Mempawah. Pengukuran biomassa atas permukaan (aboveground biomass) tegakan dilakukan di dalam petak ukur ukuran 50 x 50 m, pengumpulan data dilakukan dengan mendata tiap tegakan dengan dbh ? 5 cm dan mengelompokkannya dalam kelas-kelas diameter. Pendugaan biomassa aboveground pohon (aboveground tree biomass) dilakukan dengan menggunakan persamaan allometrik (Komiyama et al., 2008) dan stoks karbon organik dihitung dengan mengkonversikan biomassa dengan faktor konversi sebesar 0,5. Hasil menunjukkan nilai biomasa berkisar antara 32,37-55,84 ton/ha dengan nilai rata-rata 40,28 ton/ha. Biomasa tertinggi terdistribusi pada kelas diameter 15-25 cm dengan persentase 23,10% dan terendah pada kelas diameter >55 cm dengan kontribusi sebesar 13,39%. Stoks karbon pada biomasa tegakan mangrove berkisar antara 16,18-27,91 ton C/ha dengan nilai rata-rata 20,14 ton C/ha. Avicennia officinalis merupakan jenis penting dengan kontribusi stoks karbon sebesar 98,99%.Kata kunci: Aboveground biomass, hutan mangrove, Kabupaten Mempawah, Stok karbon.

scholarly journals Forest carbon stock in Left-bank Forest-Steppe of Ukraine according to intensive forest monitoring data

2020 ◽  
pp. 120-130
Author(s):  
Volodymyr Pasternak ◽  
Tetiana Pyvovar ◽  
Volodymyr Yarotsky
Keyword(s):  
Carbon Stock ◽  
Dead Wood ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Forest Monitoring ◽  
Carbon Pools ◽  
Forest Steppe ◽  
Left Bank ◽  
Forest Stands ◽  
Pine Stands

The issues of carbon stock and dynamic in different carbon pools in forest stands of Left-bank Forest-steppe of Ukraine are considered. The aim of the study was to evaluate carbon stocks and their changes in main pools: trees biomass and mortmass. Data of two repeated observations on 19 permanent intensive forest monitoring plots in Kharkiv and Sumy regions were used. Conversion method was used. Study of increment and mortality dynamics at monitoring plots showed, that two processes impact carbon balance: biotic damage which leads to trees dieback, and partial removal of dead wood from stands. Oak stands have, on average, higher carbon stock in trees biomass and mortmass (102.9 t С ha-1) than the pine stands (98.7 t С ha-1), which is associated with a higher representation of mature and overmature oak stands. While comparison by age classes showed that pine stands, in general, have higher values of C in trees biomass, due to higher productivity. The increase in carbon stocks with age is observed. The annual change of C stock in trees biomass is the highest in younger stands, and it decreases with age; while in mortmass it increases. Mature and overmature oak stands have negative trees biomass and positive dead wood growth. At age 81-100 years oak forest stands have higher carbon storage capacity than pine (total carbon stock in main pools (biomass, mortmass, litter and soils (30-cm layer)) is 191.7 t C ha-1 for oak and 175.4 t C ha-1 for pine stands). Trees biomass carbon prevails among other pools (50.3 % in oak forests, and 57.6% in pine), the next is soil carbon pool (45.9 and 29.0%, respectively). National forest inventory will provide data for assessments of carbon stocks and dynamics in trees biomass and mortmass pools. However, forest soil monitoring is necessary to evaluate carbon pools in soils and litter.

scholarly journals Estimating Grassland Carbon Stocks in Hulunber China, Using Landsat8 Oli Imagery and Regression Kriging †

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5374
Author(s):  
Lei Ding ◽  
Zhenwang Li ◽  
Xu Wang ◽  
Ruirui Yan ◽  
Beibei Shen ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Vegetation Index ◽  
Regional Scale ◽  
Carbon Stocks ◽  
Estimation Accuracy ◽  
Regression Kriging ◽  
Meadow Steppe ◽  
Model Accuracy ◽  
Study Region ◽  
Typical Steppe

Accurately estimating grassland carbon stocks is important in assessing grassland productivity and the global carbon balance. This study used the regression kriging (RK) method to estimate grassland carbon stocks in Northeast China based on Landsat8 operational land imager (OLI) images and five remote sensing variables. The normalized difference vegetation index (NDVI), the wide dynamic range vegetation index (WDRVI), the chlorophyll index (CI), Band6 and Band7 were used to build the RK models separately and to explore their capabilities for modeling spatial distributions of grassland carbon stocks. To explore the different model performances for typical grassland and meadow grassland, the models were validated separately using the typical steppe, meadow steppe or all-steppe ground measurements based on leave-one-out crossvalidation (LOOCV). When the results were validated against typical steppe samples, the Band6 model showed the best performance (coefficient of determination (R2) = 0.46, mean average error (MAE) = 8.47%, and root mean square error (RMSE) = 10.34 gC/m2) via the linear regression (LR) method, while for the RK method, the NDVI model showed the best performance (R2 = 0.63, MAE = 7.04 gC/m2, and RMSE = 8.51 gC/m2), which were much higher than the values of the best LR model. When the results were validated against the meadow steppe samples, the CI model achieved the best estimation accuracy, and the accuracy of the RK method (R2 = 0.72, MAE = 8.09 gC/m2, and RMSE = 9.89 gC/m2) was higher than that of the LR method (R2 = 0.70, MAE = 8.99 gC/m2, and RMSE = 10.69 gC/m2). Upon combining the results of the most accurate models of the typical steppe and meadow steppe, the RK method reaches the highest model accuracy of R2 = 0.69, MAE = 7.40 gC/m2, and RMSE = 9.01 gC/m2, while the LR method reaches the highest model accuracy of R2 = 0.53, MAE = 9.20 gC/m2, and RMSE = 11.10 gC/m2. The results showed an improved performance of the RK method compared to the LR method, and the improvement in the accuracy of the model is mainly attributed to the enhancement of the estimation accuracy of the typical steppe. In the study region, the carbon stocks showed an increasing trend from west to east, the total amount of grassland carbon stock was 79.77 × 104 Mg C, and the mean carbon stock density was 47.44 gC/m2. The density decreased in the order of temperate meadow steppe, lowland meadow steppe, temperate typical steppe, and sandy steppe. The methodology proposed in this study is particularly beneficial for carbon stock estimates at the regional scale, especially for countries such as China with many grassland types.

scholarly journals Suffrutex grasslands in south-central Angola: belowground biomass, root structure, soil characteristics and vegetation dynamics of the ‘underground forests of Africa’

2021 ◽  
pp. 1-11
Author(s):  
Amândio L. Gomes ◽  
Rasmus Revermann ◽  
Francisco M. P. Gonçalves ◽  
Fernanda Lages ◽  
Marcos P. M. Aidar ◽  
...  
Keyword(s):  
Human Impact ◽  
Vegetation Dynamics ◽  
Vegetation Index ◽  
Belowground Biomass ◽  
Google Earth ◽  
Carbon Stocks ◽  
Miombo Woodlands ◽  
Central Plateau ◽  
South Central ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract Despite its importance for carbon stocks accounting, belowground biomass (BGB) has seldom been measured due to the methodological complexity involved. In this study, we assess woody BGB and related carbon stocks, soil properties and human impact on two common suffrutex grasslands (Brachystegia- and Parinari grasslands) on the Angolan Central Plateau. Data on BGB was measured by direct destructive sampling. Soil samples were analysed for select key parameters. To investigate vegetation dynamics and human impact, we used Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) and fire data retrieved via Google Earth Engine. Mean belowground woody biomass of sandy Parinari grasslands was 17 t/ha and 44 t/ha in ferralitic Brachystegia grasslands of which 50% correspond to carbon stocks. As such, the BGB of Brachystegia grasslands almost equals the amount of aboveground biomass (AGB) of neighbouring miombo woodlands. Almost the entire woody BGB is located in the top 30 cm of the soil. Soils were extremely acid, showing a low nutrient availability. Both grassland types differed strongly in EVI and fire seasonality. The Parinari grasslands burnt almost twice as frequent as Brachystegia grasslands in a 10-year period. Our study emphasizes the high relevance of BGB in suffrutex grasslands for carbon stock accounting.

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