Carbon Stock of Different Parts of Major Plant Species of Three Ecological Zones of Bangladesh Sundarbans

2021 ◽  
Vol 50 (2) ◽  
pp. 373-385
Author(s):  
Ashfaque Ahmed ◽  
Tanvir Ahmed ◽  
Md Ataullah

The biomass and carbon sequestration by different parts namely leaf, stem and roots of major dominant plant species of different quadrats established in three ecological zones of Bangladesh Sundarban Mangrove Forests (SMF) were determined. A visit was done during 28 March to 1 April 2016 covering the oligohaline, mesohaline and polyhaline zones of SMF. Plant parts (stem, branch and leaf) of major plant species were collected from 16 quadrats of different locations. The major plant species were selected on the basis of abundance (number). Aboveground biomass (AGB) was estimated as the product of tree volume and wood density. Below ground biomass (BGB) were estimated from the 20% of above ground stem biomass. Carbon stock and CO2 sequestration were estimated from the dry weight of AGB and BGB. A total of 20 species in 16 different quadrats in three ecological zones and overall SMF was recorded. Among 20 species 10 dominant tree species were considered on the basis of abundance (number) for the estimation of AGB, BGB and CO2 sequestration. Species wise mean AGB (ton/ha) of 10 dominant mangrove trees are in order Heritiera fomes (186.423) > Excoecaria agallocha (28.752) > Avicennia officinalis (24.082) > Ceriops decandra (5.021) > Cynometra ramiflora (1.403) > Tamarix dioica (0.592) > Xylocarpus moluccensis (0.500) > Bruguiera gymnorrhiza (0.307) > Aegiceras corniculata (0.241) > Aglaia cuculata (0.038).Species wise mean BGB (ton/ha) of 10 dominant mangrove trees are in order H. fomes (34.99) > E. agallocha (4.94) > A. officinalis (4.79) > C. decandra (0.704) > X. moluccensis (0.47) > C. ramiflora (0.15) > B. gymnorrhiza (0.018) > A. corniculata (0.015) > T. dioica (0.008) >A. cuculata (0.004). The total CO2 sequestered (above ground and below ground) in overall SMF (considered land area 4143 km2) was 192.869 megaton. Bangladesh J. Bot. 50(2): 373-385, 2021 (June)

2020 ◽  
Vol 3 (2) ◽  
pp. 123-134
Author(s):  
Edi Handoyo ◽  
Bintal Amin ◽  
Elizal Elizal

Increasing CO2 concentration in the atmosphere is one of the factor which cause global warming. CO2 sequestration through mangrove forests is believed to be one of the efforts to reduce CO2 in atmosphere. This research was conducted in July 2019, aimed at estimating mangrove biomass, mangrove carbon stocks, soil organic carbon, and CO2 sequestration in mangrove forests in the coastal areas of Sungai Sembilan District, Dumai City, Riau Province. This research was conducted using the line transect plot method. Sampling is done by non destructive sampling by measuring DBH (Diameter at Breast Height) of mangrove trees, and soil sampling is done in a composite manner in each plot.. Mangrove biomass calculations done using allometric equations. Then, biomass is converted to carbon stock and CO2 sequestration, where the percentage value of carbon was 0.47 of biomass. As for the organic soil carbon calculation is done by multiplying the bulk density values, the percentage value of 0.47 and a depth of soil carbon.The results showed that the average estimated amount of mangrove biomass, mangrove carbon stocks, soil carbon stocks and CO2 sequestration were 621.46 tons/ha, 289.22 tons/ha, 1819.31 tons/ha and 1074.99 tons/ha. ANOVA analysis results showed that the amount of mangrove biomass, mangrove carbon stock, soil carbon stock and CO2 sequestration between stations were not significantly different (p> 0.05).


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yuchen Meng ◽  
Jiankun Bai ◽  
Ruikun Gou ◽  
Xiaowei Cui ◽  
Jianxiang Feng ◽  
...  

Abstract Background Although great efforts have been made to quantify mangrove carbon stocks, accurate estimations of below-ground carbon stocks remain unreliable. In this study, we examined the distribution patterns of mangrove carbon stocks in China and other countries using our own field survey data and datasets from published literature. Based on these data, we investigated the possible relationships between above-ground carbon stock (AGC) and below-ground carbon stock (BGC) for mangrove forests, aiming to provide a scientific basis for estimation of total mangrove carbon stocks. Results The average above-ground carbon stock in each region was sizeable (ranging from 12.0 to 150.2 Mg/ha), but average below-ground carbon stock was dominant (ranging from 46.6 to 388.6 Mg/ha), accounting for 69–91% of total carbon stock at the sites studied in China. Significant positive relationships were found between above-ground and below-ground mangrove carbon stocks, with the best fitting equation as BGC = 1.58 * AGC + 81.06 (Mg/ha, R2 = 0.62, p < 0.01, n = 122) for China. Such linear relationships vary for mangrove forests of different types and locations, from different geographical regions in China to other countries worldwide. Conclusion The positive relationship we found between above- and below-ground carbon stocks of mangrove forests in China and worldwide can facilitate more accurate assessments of mangrove blue carbon stocks at regional or global scales using modern techniques including remote sensing.


Fire Ecology ◽  
2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Jan W. van Wagtendonk ◽  
Peggy E. Moore ◽  
Julie L. Yee ◽  
James A. Lutz

Abstract Background The effects of climate on plant species ranges are well appreciated, but the effects of other processes, such as fire, on plant species distribution are less well understood. We used a dataset of 561 plots 0.1 ha in size located throughout Yosemite National Park, in the Sierra Nevada of California, USA, to determine the joint effects of fire and climate on woody plant species. We analyzed the effect of climate (annual actual evapotranspiration [AET], climatic water deficit [Deficit]) and fire characteristics (occurrence [BURN] for all plots, fire return interval departure [FRID] for unburned plots, and severity of the most severe fire [dNBR]) on the distribution of woody plant species. Results Of 43 species that were present on at least two plots, 38 species occurred on five or more plots. Of those 38 species, models for the distribution of 13 species (34%) were significantly improved by including the variable for fire occurrence (BURN). Models for the distribution of 10 species (26%) were significantly improved by including FRID, and two species (5%) were improved by including dNBR. Species for which distribution models were improved by inclusion of fire variables included some of the most areally extensive woody plants. Species and ecological zones were aligned along an AET-Deficit gradient from cool and moist to hot and dry conditions. Conclusions In fire-frequent ecosystems, such as those in most of western North America, species distribution models were improved by including variables related to fire. Models for changing species distributions would also be improved by considering potential changes to the fire regime.


Hydrobiologia ◽  
2021 ◽  
Author(s):  
P. Ragavan ◽  
Sanjeev Kumar ◽  
K. Kathiresan ◽  
P. M. Mohan ◽  
R. S. C. Jayaraj ◽  
...  

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 130
Author(s):  
Gedion Tsegay ◽  
Xiang-Zhou Meng

Globally, there is a serious issue in carbon stock due to high deforestation and the loss of land, limited carbon storage pools in aboveground and underground forests in different regions, and increased carbon emissions to the atmosphere. This review paper highlights the impact of exclosures on above and below ground carbon stocks in biomass as a solution to globally curb carbon emissions. The data has been analyzed dependent on the Intergovernmental Panel on Climate Change (IPCC) guidelines, the Food and Agriculture Organization (FAO) Forest Resource Assessment report (FRA, 2020), and scientific journal publications mostly from the last decade, to show the research results of carbon stock and the impact of exclosures, particularly the challenges of deforestation and erosion of land and opportunities of area exclosures to provide a general outlook for policymakers. Overall, the world’s forest regions are declining, and although the forest loss rate has slowed, it has still not stopped sufficiently because the knowledge and practice of exclosures are limited. The global forest loss and carbon stock have decreased from 7.8 million ha/yr to 4.7 million ha/yr and from 668 gigatons to 662 gigatons respectively due to multiple factors that differ across the regions. However, a move toward natural rehabilitation and exclosures to reduce the emissions of Greenhouse Gas (GHGs) is needed. In the global production of carbon, the exclosure of forests plays an important role, in particular for permanent sinks of carbon.


2018 ◽  
Vol 9 (3) ◽  
pp. 167-174
Author(s):  
Dian Ariyanti ◽  
Nurheni Wijayanto ◽  
Iwan Hilwan

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


2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Syahrul Muharamsyah ◽  
M Sofwan Anwari ◽  
Hafiz Ardian

Mangrove forests are unique ecosystems that have ecological, biological and socio-economic functions. The function of mangrove forests on the environment is very important especially in the coastal and oceanic regions. Mangrove forests providers of wood, leaves as raw material for medicines, and natural dye. This study aims to inventory the diversity of species of mangrove vegetation in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. The benefits of this study are to provide the data on mangrove forest vegetation as basic data for local government and related agencies in efforts to protect and preserve mangrove forests in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. Inventory the tree in mangrove forest used a line with measured 200 meters. There are 6 lines and the distance between the lines as far as 100 meters. The lines of observation are placed by purposive sampling. The results of research found 11 types of species and consisted of 6 genera. The genera are Avicennia, Bruguiera, Ceriops, Rhizophora, Soneratia and Xylocarpus. The species found were Avicennia alba, Avicennia marina, Bruguiera cylindrica, Bruguiera gymnorrhiza, Bruguiera parviflora, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia caseolaris, Xylocarpus mollucensis. Diversity of mangrove species in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency was high and should be maintained for conservation and ecotourism area. Keywords : conservation, ecotourism, mangrove, Mendalok Village


2018 ◽  
Vol 6 (1) ◽  
pp. 66 ◽  
Author(s):  
Cahyaning Windarni ◽  
Agus Setiawan ◽  
Rusita Rusita

Increasing CO2 in the atmosphere and decreasing amount of forest as absorb CO2are factors which was the underlying repercussion of climate change. One of solutions for decreasing CO2 concentration through the forest vegetation’s development and emendation. Mangrove forest estimated that effectively absorb carbon through photosynthesis. The purpose of the studyis to estimate the stand and litter carbon stock of mangrove forest. The research used line transectmethod. The first line and plot determined randomly then the next lineand plots was sistematically. The observation plots had measurement with amount of 20m x 20m with spacing between plot in line 20 m with total 20 plots. Each plot was measured diameter just  ≥ 5 cm. Each plot made observations litter sub plots with amount of 0,5 m x 0,5 m. Carbon estimation of stand biomass using allometric equations B = 0,1848D2.3624 and litter biomass using total dry weight. Carbon concentration of organic material typically contains around 46% thus multiplying the biomass by 46%. The average biomass of mangrove forests amounted to 431,78 tons/ha. Carbon estimated of mangrove stand was 197,36 ton/ha and litter carbon was 1,25 ton/ha, based on the research total of carbon mangrove forest was198,61 ton/ha. Keywords:carbon above ground,line transect, mangrove forest


Author(s):  
Abdul Wali Ahmed Al-Khulaidi ◽  
Abdul Habib Al-Qadasi ◽  
Othman Saad Saeed Al-Hawshabi

The study area is located on the South western mountains of Republic of Yemen, It is characterized by arid and semi-arid climate with high temperatures and low average annual rainfall. The aims of this study are to explore the natural plant species of one of the Important Plant areas of Arabian Peninsula and to evaluate the chance to be a protected area. 61 sample sites covering the whole ecological zones haven been conducted. 135 plant species are found, in which 3 plant species were endemic, 7 near endemic, 29 regional endemic. The study revealed also three vegetation communities with 7 vegetation associations (vegetation types). Vegetation dominated by Ficus cordata, F. sycomorus, Salvadora persica Tamarix aphylla and Ziziphus spina-christi were found on main wadis. Vegetation communities dominated by Acacia asak, Anisotes trisulcus, Jatropha variegate and Zygocarpum yemenense were found on rocky slopes and stony plateau.


2020 ◽  
Author(s):  
Gezahegn Gashu ◽  
Gebre Gidey ◽  
Sime Deressa ◽  
Zame Fekansa ◽  
Halid Awoke

Abstract Background Forest ecosystem plays a crucial role in the global carbon cycle; as such, mitigating high atmospheric concentrations of carbon dioxide and other greenhouse gases by naturally taking carbon from the atmosphere through photosynthesis. Verification and accounting of carbon stock in forest ecosystem have been renowned as a potential strategy to reduce and stabilize atmospheric concentrations of greenhouse gas. Forest sequesters and store more carbon than any other terrestrial ecosystem and it is an important natural break on climate change. It acts as a carbon reservoir by storing large amount of carbon in trees, undergrowth vegetation, forest floor and soil. Result The mean carbon stock of each carbon pool was changed along altitudinal class of the study area. The largest mean above and below ground carbon stock was found in the second altitudinal class(1560.01-1643m) followed by first altitudinal class(1435-1560m) and the third altitudinal class (1643.01-1704m) of the study area. The largest mean dead tree and dead wood carbon stock was also stored in the first altitudinal class followed by the third and the second altitudinal class of the study area. The largest mean litter carbon stock was found in the first altitudinal class followed by the second and the third altitudinal class of the study area. The largest mean soil organic carbon was found in the third altitudinal class followed by the second and the first altitudinal class of the study area. Conclusions The carbon stock variation along altitudinal gradients indicated that, altitude had no a statistically significant effect on any of the carbon pools except litter carbon of the study area at 95% of confidence interval.


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