Estimasi Biomassa dan Simpanan Karbon pada Vegetasi Lamun  di Perairan Pantai Jepara

Peningkatan emisi karbon yang berasal dari berbagai aktivitas manusisa dapat mengakibatkan terjadinya pemanasan global. Salah satu upaya untuk mengurangi emisi gas karbon adalah dengan memanfaatkan vegetasi pesisir seperti lamun yang dikenal dengan istilah blue carbon. Ekosistem lamun merupakan salah satu ekosistem pesisir yang dapat menyerap dan menyimpan karbon dalam jumlah yang besar dan dalam waktu yang lama. Penelitian ini bertujuan untuk mengetahui kerapatan, tutupan lamun, nilai biomassa dan simpanan karbon pada lamun di Pantai Blebak dan Pantai Prawean, Kabupaten Jepara. Metode survei dan penentuan lokasi dipilih dengan menggunakan metode purposive sampling, sedangkan metode pengambilan data lamun melalui metode line transect quadrant dengan ukuran 50x50 cm yang mengacu pada metode LIPI 2017. Perhitungan kandungan karbon menggunakan metode Loss On Ignition (LOI). Hasil kerapatan lamun total pada Pantai Prawean yaitu sebesar 221,45 ind/m2 dan nilai tutupan total lamun sebesar 45,98%. Kerapatan lamun total pada Pantai Blebak yaitu sebesar 160 ind/m2 dan nilai tutupan total lamun sebesar 41,67%. Nilai biomassa bawah substrat dan atas substrat pada Pantai Prawean (726,25 gbk/m2 dan 500,50 gbk/m2) menunjukkan nilai yang lebih besar dibandingkan nilai biomassa bawah substrat dan atas substrat pada Pantai Blebak (606,50 gbk/m2 dan 370,75 gbk/m2). Total kandungan karbon pada Pantai Prawean adalah 464,10 gC/m2 sedangkan pada Pantai Blebak adalah 357,79 gC/m2. Hasil perhitungan total stok karbon yang didapatkan menunjukkan bahwa Pantai Prawean memiliki nilai biomassa dan total stok karbon yang lebih tinggi daripada Pantai Blebak. Human activities lead to the increasing of carbon emission, which caused global warming. Seagrass and other coastal vegetation are being used to reduce carbon emission. This is known as blue carbon. The seagrass ecosystem is one of coastal ecosystem that can absorb and stock high amount of carbon in a short period of time. This study was done to determine the density, seagrass coverage, biomass, and carbon stock within the seagrass in Prawean and Blebak Beach, Jepara. Survey method and location determination method were done with purposive sampling method. Whereas, the seagrass data was collected by Line Transect Quadrant method 50x50 cm based on LIPI’s 2017 method. Loss on Ignition method was used to measure the carbon’s content. The density of total seagrass in Prawean beach is 221,45 ind/m2 and the total percentage of seagrass coverage is 45,98%. Total density of seagrass in Blebak Beach is 160 ind/m2 with a coverage percentage of 41,67%. The biomass below the substrate level and above the substrate level in Prawean Beach (726,25 gbk/m2 and 500,50 gbk/m2) showed a bigger amount than the amount of biomass in Blebak Beach (606,50 gbk/m2 and 370,75 gbk/m2). Total amount of carbon in Prawean is 464,10 gC/m2 meanwhile in Blebak, the amount of carbon is 357,79 gC/m2. The results of the total carbon stock obtained indicate that Prawean Beach has higher biomass and total carbon stock values than Blebak Beach.

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Carbon Stock of Seagrass Community in Barranglompo Island, Makassar (Stok Karbon pada Komunitas Lamun di Pulau Barranglompo, Makassar)

ILMU KELAUTAN Indonesian Journal of Marine Sciences ◽

10.14710/ik.ijms.19.1.1-10 ◽

2014 ◽

Vol 19 (1) ◽

pp. 1 ◽

Cited By ~ 6

Author(s):

Supriadi Supriadi ◽

Richardus F Kaswadji ◽

Dietrich G Bengen ◽

Malikusworo Hutomo

Keyword(s):

Carbon Stock ◽

Carbon Stocks ◽

Blue Carbon ◽

Total Carbon ◽

Root Penetration ◽

Enhalus Acoroides ◽

Seagrass Community ◽

Seagrass Biomass ◽

Depth Relationship ◽

Seagrass Density

Konsep blue carbon yang diperkenalkan oleh UNEP, FAO dan UNESCO pada tahun 2009 memasukkan padang lamun sebagai salah satu ekosistem yang mempunyai peran dalam penyerapan karbon global. Karbon yang diserap disimpan dan dialirkan dalam beberapa kompartemen, antara lain di sedimen, herbivora, kolom air, ekosistem lain dan dalam bentuk biomassa. Penelitian dilakukan di Pulau Barranglompo, Makassar, untuk melihat potensi stok karbon yang tersimpan dalam biomassa lamun. Kepadatan lamun diukur dengan melakukan sampling menggunakan metode transek kuadrat dengan ukuran 50cm x 50cm. Sedangkan untuk biomassa dilakukan dengan transek 20cm x 20cm. Hubungan antara kepadatan, biomassa dan kandungan karbon dari lamun digunakan untuk menentukan jumlah stok karbon. Kepadatan lamun disurvei pada 236 titik, sedangkan untuk pengambilan sampel biomassa dilakukan pada 30 titik. Hasil penelitian menunjukkan bahwa komunitas lamun mempunyai total stok karbon sebesar 73,86 ton dari total luas padang lamun 64,3 ha. Karbon di bawah substrat sebesar 56,55 ton (76,3%), lebih tinggi dibanding karbon di atas substrat yang hanya 17,57 ton (23,7%). Jenis lamun Enhalus acoroides menyumbang lebih dari 70% terhadap total stok karbon. Berdasarkan kelas karbon, kontribusi terbesar ditemukan pada kelas 100-200 gC.m-2 sebesar 29,41 ton (39,7%). Hasil ini menunjukkan bahwa ekosistem lamun berperan sangat penting dalam menjaga stok karbon di laut sehingga perlu mendapatkan perhatian untuk konservasinya. Kata kunci: konsep blue karbon, lamun, Barranglompo Blue carbon concept as introduced by UNEP, FAO and UNESCO in 2009 included seagrass beds as one ecosystem having a significant role in global carbon absorption. Absorbed carbon was stored and distributed in various compartments such as in sediments, herbivores, water column, other ecosystems and in form of biomass. The research was conducted in Barranglompo Island, Makassar City to analyze the potency of carbon stock that stored within seagrass biomass. Seagrass density was sampled using quadrat transect method with size of 50cm x 50cm. While for biomass was done by harvesting seagrass at transect of 20cm x 20cm in root penetration depth. Relationship between density, biomass and carbon content of seagrass were used to determine total carbon stock. Seagrass density was surveyed at 236 points, while for biomass sampling was conducted in 30 points. The results showed that seagrass community had total carbon stocks as much as 73.86 tonnes from overall 64.3 ha of seagrass bed areas. Below ground carbon had 56.55 tonnes (76.3%), higher compared to that aboveground which only 17.57 tonnes (23.7%). Seagrass species Enhalus acoroides contributed more than 70% to the total carbon stocks, whereas, based on the carbon classes, the highest contribution was found at class 100-200 gC.m-2 i.e. 29.41 tonnes (39.7%). These results suggest that seagrass ecosystem plays an important role in maintaining the carbon stock in the ocean and should receive good attention for its conservation. Keywords: blue carbon concept, seagrass, Barranglompo

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

Journal of Tropical Silviculture ◽

10.29244/j-siltrop.9.3.167-174 ◽

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

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

International Journal of Remote Sensing and Earth Sciences (IJReSES) ◽

10.30536/j.ijreses.2021.v18.a3609 ◽

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.

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

International Journal of Current Research in Biosciences and Plant Biology ◽

10.20546/ijcrbp.2020.709.004 ◽

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 Ëƒ middle altitudes Ëƒ 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.

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

The Initiation ◽

10.3126/init.v5i0.10255 ◽

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

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

Journal of Forest Science ◽

10.17221/103/2011-jfs ◽

2012 ◽

Vol 58 (No. 8) ◽

pp. 372-379 ◽

Cited By ~ 16

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·ha−1 whereas trees produce 110.94 t·ha−1, undergrowth (shrubs, herbs and grass) 0.50 t·ha−1, litter fall 4.21 t·ha−1 and soil 168.15 t·ha−1 (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.

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

Northern Journal of Applied Forestry ◽

10.1093/njaf/28.3.161 ◽

2011 ◽

Vol 28 (3) ◽

pp. 161-165 ◽

Cited By ~ 1

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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CARBON STOCK ESTIMATION OF MANGROVE VEGETATION USING REMOTE SENSING IN PERANCAK ESTUARY, JEMBRANA DISTRICT, BALI

International Journal of Remote Sensing and Earth Sciences (IJReSES) ◽

10.30536/j.ijreses.2017.v14.a2841 ◽

2018 ◽

Vol 14 (2) ◽

pp. 137

Author(s):

Amandangi Wahyuning Hastuti ◽

Komang Iwan Suniada ◽

Fikrul Islamy

Keyword(s):

Remote Sensing ◽

Carbon Stock ◽

Remote Sensing Data ◽

Total Carbon ◽

Total Biomass ◽

Sensing Data ◽

Ground Biomass ◽

Study Results ◽

Mangrove Vegetation ◽

Total Carbon Stock

Mangrove vegetation is one of the forest ecosystems that offers a potential of substantial greenhouse gases (GHG) emission mitigation, due to its ability to sink the amount of CO2 in the atmosphere through the photosynthesis process. Mangroves have been providing multiple benefits either as the source of food, the habitat of wildlife, the coastline protectors as well as the CO2 absorber, higher than other forest types. To explore the role of mangrove vegetation in sequestering the carbon stock, the study on the use of remotely sensed data in estimating carbon stock was applied. This paper describes an examination of the use of remote sensing data particularly Landsat-data with the main objective to estimate carbon stock of mangrove vegetation in Perancak Estuary, Jembrana, Bali. The carbon stock was estimated by analyzing the relationship between NDVI, Above Ground Biomass (AGB) and Below Ground Biomass (BGB). The total carbon stock was obtained by multiplying the total biomass with the carbon organic value of 0.47. The study results show that the total accumulated biomass obtained from remote sensing data in Perancak Estuary in 2015 is about 47.20±25.03 ton ha-1 with total carbon stock of about 22.18±11.76 tonC ha-1and CO2 sequestration 81.41±43.18 tonC ha-1.

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Carbon stock estimation of mangrove forest in Sulaman Lake Forest Reserve, Sabah, Malaysia

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d211223 ◽

2020 ◽

Vol 21 (12) ◽

Author(s):

Normah Awang Besar ◽

NURUL SYAKILAH SUHAILI ◽

JIM LIEW JUN FEI ◽

FAUZAN WAJDI SHA’ARI ◽

MUHAMMAD IZZUDDIN IDRIS ◽

...

Keyword(s):

Soil Carbon ◽

Mangrove Forest ◽

Carbon Stock ◽

Total Carbon ◽

Climate Mitigation ◽

Total Biomass ◽

Forest Reserve ◽

Soil Carbon Stock ◽

Stock Estimation ◽

Total Carbon Stock

Abstract. Besar NA, Suhaili NS, Fei JLJ, Sha’ari FW, Idris MI, Hatta SH, Kodoh J. 2020. Carbon stock estimation of Sulaman Lake Forest Reserve in Sabah, Malaysia. Biodiversitas 21: 5657-5664. Mangrove forest has a significant role in sequestering carbon gases from the atmosphere but there are lesser literature has been made on it. This research was conducted to quantify the aboveground, belowground and soil carbon stock in Sulaman Lake Forest Reserve, Sabah, Malaysia. Nine transect lines with 125 m length were established and a circle with 7 m radius was set in every 25 m. Forest inventory was done to get the diameter breast height of standing trees and soil sampling with four different depths (0-15 cm, 15-30 cm, 30-50 cm and 50-100 cm) were taken for soil analysis and bulk density. Allometric equation was used to calculate aboveground and belowground biomass then its carbon stock was estimated as 50% from its total biomass. The result shows the total carbon stock in the study area was 441.72 Mg C ha-1, and soil has the highest value of carbon stock (351.98 ± 11.73 Mg C ha-1) followed by aboveground carbon (67.30 ± 20.55 Mg C ha-1) and belowground carbon (22.44 ± 0.17 Mg C ha-1). This study found that soil carbon stock made up almost 80% of the total carbon stock in the mangrove forest. This ecosystem also shows a higher value of carbon stock compared to other locations hence emphasized the importance of prioritizing a mangrove forest in any climate mitigation efforts.

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Assessment of Blue Carbon Storage Loss in Coastal Wetlands under Rapid Reclamation

Sustainability ◽

10.3390/su10082818 ◽

2018 ◽

Vol 10 (8) ◽

pp. 2818 ◽

Cited By ~ 6

Author(s):

Yi Li ◽

Jianhui Qiu ◽

Zheng Li ◽

Yangfan Li

Keyword(s):

Ecosystem Services ◽

Carbon Storage ◽

Coastal Wetlands ◽

Carbon Emission ◽

Blue Carbon ◽

Total Carbon ◽

Carbon Loss ◽

Coastal Reclamation ◽

Natural Wetlands ◽

Reclamation Area

Highly productive coastal wetlands play an essential role in storing blue carbon as one of their ecosystem services, but they are increasingly jeopardized by intensive reclamation activities to facilitate rapid population growth and urbanization. Coastal reclamation causes the destruction and severe degradation of wetland ecosystems, which may affect their abilities to store blue carbon. To assist with international accords on blue carbon, we evaluated the dynamics of blue carbon storage in coastal wetlands under coastal reclamation in China. By integrating carbon density data collected from field measurement experiments and from the literature, an InVEST model, Carbon Storage and Sequestration was used to estimate carbon storage across the reclamation area between 1990 and 2015. The result is the first map capable of informing about blue carbon storage in coastal reclamation areas on a national scale. We found that more than 380,000 hectares of coastal wetlands were affected by reclamation, which resulted in the release of ca. 20.7 Tg of blue carbon. The carbon loss from natural wetlands to artificial wetlands accounted for 72.5% of total carbon loss, which highlights the major task in managing coastal sustainability. In addition, the top 20% of coastal wetlands in carbon storage loss covered 4.2% of the total reclamation area, which can be applied as critical information for coastal redline planning. We conclude that the release of blue carbon due to the conversion of natural wetlands exceeded the total carbon emission from energy consumption within the reclamation area. Implementing the Redline policy could guide the management of coastal areas resulting in greater resiliency regarding carbon emission and sustained ecosystem services.

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