scholarly journals ANALISIS STOK KARBON HUTAN MANGROVE PADA BERBAGAI TINGKAT KERUSAKAN DI SEGARA ANAKAN CILACAP

2017 ◽  
Vol 3 (2) ◽  
pp. 161 ◽  
Author(s):  
Mia Azizah ◽  
Erwin Riyanto Ardli ◽  
Eming Sudiana
Keyword(s):  
Random Sampling ◽  
Mangrove Forest ◽  
Carbon Stock ◽  
Vegetation Type ◽  
Pearson Correlation ◽  
Carbon Stocks ◽  
Survey Method ◽  
Sampling Location ◽  
Damage Level ◽  
Arcview Gis

Cabrbon Stock Analysis of Mangrove Forest in Every Damaged Level in Segara Anakan Cilacap         Mangrove is a specific vegetation type, found in tropical and subtropical beach area which located in Cilacap  at a sloping beach area near the mouth of a river and the beach protected from the waves. Segara anakan is one of mangroves region which located at 108 º 46'-109 º 03 'E and 07 º 34' - 07 º 47 'South Latitude. Human activities series in Segara anakan mangrove lead the damage of this region, it affects to the ecological and biological or mangrove function as carbon storage place. The aims of this research was to analyze the damage level of mangrove in Segara anakan, Cilacap; to know the spatial distribution of mangrove damage level in Segara anakan; analyze the amount of biomass and carbon stocks at various of damage level in Segara anakan, and to know the number corelation of carbon stocks with damage level in Segara anakan, Cilacap.The research used survey method with purposive random sampling that determine the sampling location based on the damage level. Damage analysis used  assessment teristis method (field survey) and than spasial distribution used surfer 9.0 and ArcView GIS 3.2. Biomass analysis and the amount of carbon stock used descriptive methods, damage level correlation and the amount of carbon stock used Pearson correlation analysis (SPSS software vs. 19).The result was Segara anakan mangrove, Cilacap currently was divided into not damage (7 station), damaged (3 station) and  heavily damaged (5 station) categories. The amount of biomass and carbon stocks in not damaged area (57,67 tons/ha and 26,50 tons/ha); damaged area (23,40 tons/ha and 10,74 tons/ha, and the heavily damaged area (9,49 tons/ha and 4,37 tons/ha). The destruction of mangrove forest affected the amount of biomass and carbon stocks in Segara anakan, Cilacap.Keywords : mangrove,  carbon stock, damage level, Segara Anakan Cilacap ABSTRAK        Hutan mangrove merupakan tipe vegetasi khas, terdapat di daerah pantai tropis dan subtropis yang tumbuh subur di daerah pantai yang landai di dekat muara sungai dan pantai yang terlindung dari hempasan gelombang. Segara Anakan adalah salah satu kawasan hutan mangrove yang terletak pada koordinat 07º34’ - 07º47’ LS dan 108º46’- 109º03’ BT. Serangkaian aktivitas manusia di kawasan hutan mangrove Segara Anakan menyebabkan kawasan ini mengalami kerusakan, hal tersebut berpengaruh terhadap fungsi ekologis dan biologis serta fungsi hutan mangrove sebagai penyimpan karbon.  Penelitian ini bertujuan untuk menganalisis dan mengetahui tingkat kerusakan  hutan  mangrove di Segara Anakan Cilacap; mengetahui distribusi spasial potensi stok karbon hutan mangrove di Segara Anakan Cilacap  dan  mengetahui korelasi jumlah stok karbon dengan tingkat kerusakan di Segara Anakan Cilacap.Penelitian ini menggunakan metode survei dengan menggunakan teknik purposive random sampling  yaitu menentukan lokasi sampling berdasarkan  pada tingkat kerusakan. Analisis kerusakan menggunakan metode penilaian teristis (survey lapangan) yang selanjutnya didistribusi spasial menggunakan surfer  9.0 dan Arcview GIS 3.2. Analisis biomassa dan jumlah stok karbon menggunakan metode deskriptif, korelasi tingkat kerusakan, dan jumlah stok karbon menggunakan analisis korelasi Pearson (Software SPSS vs. 19). Hasil yang diperoleh adalah hutan mangrove Segara Anakan Cilacap saat ini terbagi menjadi area dengan kategori tidak rusak (7 stasiun), rusak (3 stasiun) dan rusak berat (5 stasiun). Jumlah biomassa dan stok karbon di area yang tidak mengalami kerusakan (57,67 ton/ha dan 26,50 ton/ha), area yang rusak (23,40 ton/ha dan 10,74 ton/ha, dan area yang rusak berat (9,49 ton/ha dan 4,37 ton/ha). Kerusakan hutan mangrove berpengaruh terhadap jumlah biomassa dan stok karbon di Segara Anakan.Kata Kunci: mangrove, stok karbon, tingkat kerusakan,SegaraAnakan Cilacap

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 Correlation of Islamic Spirituality in Reducing Student’s Delinquency Problems

2020 ◽  
Vol 8 (1) ◽  
pp. 53
Author(s):  
Ruhaiza Binti Padzil ◽  
Mohd Zailani Mohd Yusoff ◽  
Muhamad Dzahir Kasa
Keyword(s):  
Secondary Schools ◽  
Significant Relationship ◽  
Random Sampling ◽  
Quantitative Data ◽  
Pearson Correlation ◽  
Delinquent Behavior ◽  
Descriptive Statistics ◽  
Survey Method ◽  
Pilot Sample ◽  
The Relationship

This study aimed to identify the relationship between Islamic spirituality and the level of delinquent behavior. Islamic spirituality among students is studied in terms of belief and faith, extrinsic and intrinsic aspects. This study used the survey method. The sample of this study was selected using random sampling. Data was collected from a pilot sample of 120 Malay students studying in ordinary secondary schools in Johor using questionnaires. The research questionnaire used Islamic Spiritual Disposition Questionaire (ISDQ) developed by Mohd Zailani (2009) and Delinquency Behaviour Disposition questionnaires developed by Carl Jung’s (1997). Quantitative data were analyzed using descriptive statistics and Pearson correlation. The analysis of the study showed that there is a significant relationship between the dimensions of Islamic spirituality and the level of delinquent behavior among students. The findings of the study showed that the domains involved in Islamic spirituality may reduce the tendency of delinquent behavior among students.

HUBUNGAN UMUR DENGAN Biomassa, Stok karbon dioksida, Tegakan POHON DUKU (Lansium parasiticum) DI DESA KALIKAJAR KECAMATAN KALIGONDANG KABUPATEN PURBALINGGA

2020 ◽  
Vol 2 (1) ◽  
pp. 146
Author(s):  
Septi Nuranisa ◽  
Eming Sudiana ◽  
Edy Yani
Keyword(s):  
Carbon Dioxide ◽  
Regression Analysis ◽  
Carbon Stock ◽  
Plant Density ◽  
Pearson Correlation ◽  
Tree Age ◽  
Survey Method ◽  
Stand Age ◽  
Age Group ◽  
Planting Distance

This research entitled "Age Relationship with Carbon Dioxide Stock of Duku Tree (Lansium parasiticum) in Kalikajar Village, Kaligondang District, Purbalingga Regency". The puspoe of this research are: 1) Knowing the effect of stand age on the amount of carbon dioxide stock stored in duku stands (Lansium parasiticum) in Kalikajar Village, Kaligondang District, Purbalingga Regency. 2) Knowing the age of duku plants (Lansium parasiticum) in Kalikajar Village, Kaligondang District, Purbalingga Regency which has the most potential carbon dioxide stock. The research used survey method by determining tree biomass using stratified random sampling. The strata used is the age of duku plants. Each age strata is taken 3 trees to measure its diameter. The land area is divided by the planting distance to get the results of plant density in that location. Measurement of stand stem diameter is carried out on stand stems at the researchers' chest height (at breast height or dbh). The measuring tape is wrapped around the stand stems in a parallel position for all directions so that the data obtained is the circumference or convolution of the stem (circumference of the stem = 2πr). Age, biomass, and carbon stock data were analyzed using variance analysis (Anova), while the relationship between biomass and carbon stock was analyzed using Pearson correlation and regression analysis. The regression analysis between age and carbon dioxide stock shows an exponential pattern. The lowest corbon dioxide stock of the duku plant is found in the age group <5 years, which is 9.54 tons/ha, while the largest carbon dioxide stock of the duku tree is in the age group > 30 years (40 years) which is 74.89 tons/ha.  Thus, this study has not yet gotten the most optimal tree age in storing carbon dioxide. Therefore it is necessary to do research on duku trees that are older than 40 years.

scholarly journals STOK KARBON DI ATAS PERMUKAAN TANAH PADA HUTAN MANGROVE SUNGAI AWAN KIRI KABUPATEN KETAPANG

2021 ◽  
Vol 9 (1) ◽  
pp. 25
Author(s):  
Kusmawati Kusmawati ◽  
Gusti Hardiansyah ◽  
Ganjar Oki Widhanarto
Keyword(s):  
Carbon Content ◽  
Mangrove Forest ◽  
Carbon Stock ◽  
River Mouth ◽  
Survey Method ◽  
Mangrove Forests ◽  
Vegetation Biomass ◽  
Excoecaria Agallocha ◽  
Bruguiera Gymnorhiza ◽  
Coastal Plant

Mangrove forests, often referred to as mangrove forests, brackish forests or tidal forests, is a transitional ecosystem between land and sea which are tropical or sub-tropical areas along the sheltered coast and river mouth. Mangrove forest is a coastal plant community dominated by several species of mangrove trees that are able to grow and develop during the tides in accordance with their tolerance to salinity, duration of inundation, substrate and beach morphology. Awan Kiri Mangrove Forest has a total area of 114 hectares including the area of Other Management Areas (APL) then seen from the density of the Mangrove Forest only has 92 hectares. This study uses a non-destructive survey method. Vegetation carbon stock calculation is carried out using vegetation biomass calculation approach. Vegetation biomass calculation based on the calculation of allometric equations. Calculation the value of stored carbon using the formula according to (SNI 7724:2011) the value of parent carbon content,amounting to 0,47. Bassed on the research that has been done, it is found that there are 185 individuals, Rhizophora spp., Bruguiera gymnorhiza, Rhizpphora apiculata, Xylocarpus gerantum and Excoecaria agallocha. The biomassa content can be known in the 3 pathways to store 242,16 tons biomassa and the total  biomassa content in 1210,8 tons/ha with an everage of 403,6 tons/ha. The carbon content is 569,06 tons/ha so that it gets an average total of 186,68 tons C/ha.Keywords: Carbon Stock, Ketapang Regency, Sungai Awan Kiri in Mangrove Forests.

scholarly journals Persepsi dan partisipasi masyarakat terhadap pelestarian hutan mangrove di Kecamatan Bantan-Bengkalis

Jurnal Zona ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 23-28
Author(s):  
Novia Parenri ◽  
Sukendi Sukendi ◽  
Tengku Nurhidayah
Keyword(s):  
Statistical Analysis ◽  
Public Participation ◽  
Random Sampling ◽  
Mangrove Forest ◽  
Forest Conservation ◽  
Survey Method ◽  
Community Characteristics ◽  
The Public ◽  
Educational Variables ◽  
Significant Direct Effect

This study aims to determine the effect of community characteristics (age, education and income) and perceptions to the public participation in mangrove forest conservation, with research sites in two villages in the district of Bantan Bengkalis. Collecting data using a survey method with questionnaires and sampling was done by random sampling where the population 2494 people, which is used as the sample is taken as 97 respondents. The method of analysis used in this research is statistical descriptive and path analysis. And based on the results of statistical analysis has been done, obtained some results as follows: that of the community characteristics variable (age, education and income) only educational variables that have a significant direct effect on the public participation variable and also found that the perception variables have a significant directl effect on the public participation variable. Furthermore, the results also found that the public participation variables have a significant directl effect on the mangrove forest conservation variables.

scholarly journals ANALISIS FEKUNDITAS DAN DIAMETER TELUR KERANG BAMBU (Solen lamarckii, Chenu 1843) DI ZONA INTERTIDAL DESA API-API KECAMATAN BANDAR LAKSAMANA KABUPATEN BENGKALIS

2020 ◽  
Vol 25 (3) ◽  
pp. 216
Author(s):  
Laila Langsana ◽  
Syafruddin Nasution ◽  
Efriyeldi Efriyeldi
Keyword(s):  
Shell Length ◽  
Random Sampling ◽  
Stage Iv ◽  
Average Diameter ◽  
Simple Random Sampling ◽  
Volumetric Method ◽  
Survey Method ◽  
Sampling Location ◽  
The People ◽  
Egg Diameter

Bamboo clam (Solen lamarckii) is a type of mollusck of the Solenidae family known as “sepahat” by the people around Bengkalis. This study was conducted at Api-Api village waters, Bengkalis Regency  in January 2020. This study aims to investigate the fecundity produced by each female of  bamboo clam and egg diameter in each phase of maturity gonad stage. This study used survey method and sampling location determined by simple random sampling. Fecundity was calculated using the modificated volumetric method. The result showed, the fecundity of bamboo clam ranged from 290,325-1,902,391 with an average 1,105,285 ±1,074,724 eggs  for 50.3-72.8 mm in shell length. Egg diameter ranged between 30-110 μm. Average diameter in each phase of maturity gonad stage, the stage I gonads was 46.7 μm, stage II 65.2 μm, stage III 82.8 μm and stage IV 101 μm.

scholarly journals An assessment of tree biodiversity and carbon stocks in mangrove forests, Langsa City, Aceh, Indonesia

2021 ◽  
Vol 886 (1) ◽  
pp. 012085
Author(s):  
Siti Maimunah ◽  
Ilham Hanafi ◽  
Subhan ◽  
Ashabul Anhar ◽  
Jay H. Samek
Keyword(s):  
Physical Environment ◽  
Mangrove Forest ◽  
Carbon Stock ◽  
Carbon Stocks ◽  
Mangrove Forests ◽  
High Carbon ◽  
Greenhouse Gasses ◽  
Climate Regulation ◽  
Aceh Province ◽  
Ecosystem Complex

Abstract Mangrove forests are a unique coastal ecosystem with trees adapted to a constantly fluctuating and sometimes extreme physical environment. Mangrove forests provide important ecosystem services that benefit local people and all of us in terms of climate regulation through the storage of greenhouse gasses in biomass. This research reports carbon stock, wood volume, tree density, and biodiversity indices for two mangrove forest areas in Langsa City Regency, Aceh Province, Indonesia. The two sites represent and inland area and an ocean-exposed area within a large mangrove forest ecosystem complex. The results of the analysis show that these two tracts are quite similar in terms of carbon stock and biodiversity even though they occupy different locations within the larger tract of mangrove habitat. The study confirms these are healthy forest areas with relatively high carbon stocks.

scholarly journals Estimasi Stok Karbon Mangrove Di Muara Sungai Kumbe Distrik Malind Kabupaten Merauke

2018 ◽  
pp. 24-32
Author(s):  
Reny Sianturi ◽  
Siti Masiyah
Keyword(s):  
Mangrove Forest ◽  
Carbon Stock ◽  
River Estuary ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Soil Conditions ◽  
Mangrove Forests ◽  
Unique Type ◽  
The Indian Ocean ◽  
Stock Values

Forests reduce and store CO2 through a process of "sequestration" that is the storage of carbon from the atmosphere and its storage in several copartments such as plants, litter, and soil organic matter. Mangrove forest is a unique and unique type of forest because it is able to adapt to environments with high salinity, soil conditions without oxygen and once in a while. ne example of mangrove forests in Indonesia is mangrove forest in the Kumbe river estuary, Merauke Regency, Papua Province. The Kumbe river estuary is one of the eastern Indonesian waters bordering the Indian Ocean. At the Kumbe river estuary there has been no research on carbon stocks in the mangrove community. So it is necessary to do research on carbon stocks in the region. In this study the measurement of carbon stocks used was done by measuring carbon above ground, and ground. Above ground carbon stock components include trees, understorey, and litter. The mechanism for measuring above ground carbon stock is done by estimating biomass, which is then converted to carbon concentration. The results of this study indicate that the carbon stocks in trees, Understorey and litter in sequence are 85.55 Mg / Ha, 392.93 Mg / Ha and 70.75 Mg / Ha; 0.78 Mg / Ha, 1.26 Mg / Ha and 1.24 Mg / Ha and 2.04 Mg / Ha, 1.28 Mg / Ha and 1.2 Mg / Ha. As for the proportion of carbon stock values ​​found in mangrove forests that trees contribute greatly to total carbon stock. Keyword : Mangrove, carbon stocks, Merauke, Kumbe

scholarly journals COMMUNITY STRUCTURE OF GASTROPOD (MOLLUSCA) IN THE MANGROVE ECOSYSTEM OF PURNAMA, DUMAI CITY RIAU PROVINCE

2020 ◽  
Vol 3 (2) ◽  
pp. 111-122
Author(s):  
Sandy Bahari ◽  
Syafruddin Nasution ◽  
Efriyeldi
Keyword(s):  
Community Structure ◽  
Distribution Pattern ◽  
Mangrove Forest ◽  
Distribution Patterns ◽  
Mangrove Ecosystem ◽  
Survey Method ◽  
Sampling Location ◽  
Anova Analysis ◽  
Gastropod Species ◽  
Transect Line

This research was conducted in January 2019 on the mangrove ecosystem of  Purnama Dumai City,  Riau Province with the aim to determine the structure of the gastropod community which includes the type, density, diversity, distribution patterns and similarity of the community. The method used is a survey method, where the sampling location consists of 5 research stations. The type and density of gatropods are determined by drawing a transect line from the mangrove forest towards the highest tide line. The transect was placed in 3 1x1 m2 maps with a distance of 10 m. The results showed that the Gastropod species found consisted of 6 species, namely Nerita costata, Telebrelia sulcata, Cicopreus capucinus, Telescopium telelescopium, Littorina sp, Volema myristican. Based on ANOVA analysis, gastropod density between stations was not significantly different in the waters of Purnama Village, Dumai City. Diversity is categorized as medium, Uniformity is categorized as balanced and the dominance of certain types. While the overall distribution pattern of Gastropods tends to be clustered.

scholarly journals Use of Hyperion for Mangrove Forest Carbon Stock Assessment in Bhitarkanika Forest Reserve: A Contribution Towards Blue Carbon Initiative

2020 ◽  
Vol 12 (4) ◽  
pp. 597 ◽  
Author(s):  
Akash Anand ◽  
Prem Chandra Pandey ◽  
George P. Petropoulos ◽  
Andrew Pavlides ◽  
Prashant K. Srivastava ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mangrove Forest ◽  
Vegetation Index ◽  
Pearson Correlation ◽  
Carbon Stocks ◽  
Hyperspectral Data ◽  
Hyperspectral Images ◽  
Total Carbon ◽  
Spectral Angle Mapper ◽  
Aboveground Carbon

Mangrove forest coastal ecosystems contain significant amount of carbon stocks and contribute to approximately 15% of the total carbon sequestered in ocean sediments. The present study aims at exploring the ability of Earth Observation EO-1 Hyperion hyperspectral sensor in estimating aboveground carbon stocks in mangrove forests. Bhitarkanika mangrove forest has been used as case study, where field measurements of the biomass and carbon were acquired simultaneously with the satellite data. The spatial distribution of most dominant mangrove species was identified using the Spectral Angle Mapper (SAM) classifier, which was implemented using the spectral profiles extracted from the hyperspectral data. SAM performed well, identifying the total area that each of the major species covers (overall kappa = 0.81). From the hyperspectral images, the NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) were applied to assess the carbon stocks of the various species using machine learning (Linear, Polynomial, Logarithmic, Radial Basis Function (RBF), and Sigmoidal Function) models. NDVI and EVI is generated using covariance matrix based band selection algorithm. All the five machine learning models were tested between the carbon measured in the field sampling and the carbon estimated by the vegetation indices NDVI and EVI was satisfactory (Pearson correlation coefficient, R, of 86.98% for EVI and of 84.1% for NDVI), with the RBF model showing the best results in comparison to other models. As such, the aboveground carbon stocks for species-wise mangrove for the study area was estimated. Our study findings confirm that hyperspectral images such as those from Hyperion can be used to perform species-wise mangrove analysis and assess the carbon stocks with satisfactory accuracy.

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