Decadal loss of above-ground biomass and subsequent potential CO2 emission from the Sundarbans mangrove ecosystem, India

2021 ◽  
Author(s):  
Nilanjan Das ◽  
Ayan Mondal ◽  
Nimai Chandra Saha ◽  
Santu Ghosh ◽  
Sudipto Mandal
Keyword(s):  
Co2 Emission ◽  
Mangrove Ecosystem ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Sundarbans Mangrove ◽  
The Sundarbans

Allometry, above-ground biomass and nutrient distribution in Ceriops decandra (Griffith) Ding Hou dominated forest types of the Sundarbans mangrove forest, Bangladesh

2012 ◽  
Vol 20 (6) ◽  
pp. 539-548 ◽  
Author(s):  
Mahmood Hossain ◽  
Mohammad Raqibul Hasan Siddique ◽  
Arun Bose ◽  
Sharif Hasan Limon ◽  
Md. Rezaul Karim Chowdhury ◽  
...  
Keyword(s):  
Mangrove Forest ◽  
Above Ground Biomass ◽  
Forest Types ◽  
Nutrient Distribution ◽  
Ground Biomass ◽  
Ceriops Decandra ◽  
Sundarbans Mangrove ◽  
The Sundarbans

Biological Studies of the Mud Crab, Scylla serrata (Forskal) of the Sundarbans Mangrove Ecosystem in Khulna Region of Bangladesh

2004 ◽  
Vol 7 (11) ◽  
pp. 1981-1987 ◽  
Author(s):  
M.Y. Ali . ◽  
D. Kamal . ◽  
S.M.M. Hossain . ◽  
M.A. Azam . ◽  
W. Sabbir . ◽  
...  
Keyword(s):  
Mangrove Ecosystem ◽  
Scylla Serrata ◽  
Mud Crab ◽  
Biological Studies ◽  
Sundarbans Mangrove ◽  
The Sundarbans

scholarly journals Above-Ground Biomass, Nutrients and Carbon in <i>Aegiceras corniculatum</i> of the Sundarbans

2016 ◽  
Vol 06 (02) ◽  
pp. 72-81 ◽  
Author(s):  
Mahmood Hossain ◽  
Md. Al-Amin Shaikh ◽  
Chameli Saha ◽  
S. M. Rubaiot Abdullah ◽  
Sanjoy Saha ◽  
...  
Keyword(s):  
Above Ground Biomass ◽  
Aegiceras Corniculatum ◽  
Ground Biomass ◽  
The Sundarbans

scholarly journals Ecuaciones alométricas de biomasa aérea para la estimación de los contenidos de carbono en manglares del Caribe Colombiano

2016 ◽  
Vol 64 (2) ◽  
pp. 897 ◽  
Author(s):  
Adriana Yepes
Keyword(s):  
Marine Protected Area ◽  
Mangrove Ecosystem ◽  
Carbon Potential ◽  
Carbon Stocks ◽  
Avicennia Germinans ◽  
Total Carbon ◽  
Mangrove Forests ◽  
Above Ground Biomass ◽  
Allometric Models ◽  
Ground Biomass

<p><strong>Abstract: Tree above-ground biomass allometries for carbon stocks estimation in the Caribbean mangroves in Colombia</strong></p><p>In this study, we analyzed the above ground biomass of the species <em>Rhizophora mangle</em> and <em>Avicennia germinans</em> in the mangrove ecosystem located at Marine Protected Area called in Spanish Distrito de Manejo Integrado (DMI) Cispatá-Tinajones-La Balsa, Caribbean Colombian coast. We harvest 30 individuals of each species in field and built allometric models in order to estimates of aboveground biomass with low levels of uncertainty. Our results indicate that the above ground biomass of mangrove forests in the DMI Colombian Caribbean is the 129.69±20.24Mg/ha, the equivalent to 64.85±10.12MgC/ha. The DMI has an area of 8 570.9ha in mangrove forests, and we estimated the total carbon potential stored is about 555 795.93Mg. Although there are pantropical and national above ground biomass allometric models, most of them do not discriminate mangrove forests, despite being particular ecosystems. The equations generated in this study can be considered as an alternative for the assessment of carbon stocks in above ground biomass of mangrove forests in Colombia, and can be used for analysis at a more detailed scale and they are useful for determinate the potential for carbon storage in mangrove forests like an option for the country in forest conservation and emission reduction by deforestation.</p>

scholarly journals Assessment of Gear Efficiency for Harvesting Artisanal Giant Freshwater Prawn (Macrobrachium Rosenbergii de Man) Fisheries from the Sundarbans Mangrove Ecosystem in Bangladesh

2019 ◽  
Author(s):  
Biplab Kumar Shaha ◽  
Md. Mahmudul Alam ◽  
H. M. Rakibul Islam ◽  
Lubna Alam ◽  
Alokesh Kumar Ghosh ◽  
...  
Keyword(s):  
Macrobrachium Rosenbergii ◽  
Mangrove Ecosystem ◽  
Economic Life ◽  
Freshwater Prawn ◽  
Small Scale ◽  
Giant Freshwater Prawn ◽  
Gear Efficiency ◽  
De Man ◽  
Sundarbans Mangrove ◽  
The Sundarbans

The Sundarnbans mangrove forest has been an immense source of aquatic resources from time immemorial. Among the resources, harvesting of Giant Freshwater Prawn (Macrobrachium rosenbergii de Man 1879) plays an important role in the economy of the country, therefore, this investigation was carried out to assess the Gear Efficiency for Harvesting Artisanal Giant Freshwater Prawn Fisheries from the Sundarbans Mangrove Ecosystem in Bangladesh. Four types of non-mechanized crafts made of fourteen types of wood were found in harvesting Giant Freshwater Prawn. Crafts were varied from 6.25±0.35 to 8.2±0.71 m in length, 1.1±0.14 to 1.75±0.36 m in breadth and 0.65±1.07 to 1.55±3.16 m in depth with a carrying capacity of 0.40 - 1.00 MT with an economic life of 10±2.11 years. A total of eight types of gears, namely, Hookline, Behundijal, Badhajal, Charpata, Chandijal, Gillnet, Kathijal and KhalPata were found in Giant Freshwater Prawn fishing. Among them the Hookline was the only main primary active Giant Freshwater Prawn fishing gear while the rest of the seven gears were multi-species gears which harvest Giant Freshwater Prawn as a by-catch. Only 13.6% of 1,989 fishers were found to use Hookline; the rest, 86.4% of fishers used the seven other gears. They only harvest 3.24% Giant Freshwater Prawn as a bycatch. The highest daily harvest volume per boat (kg day-1 boat-1) was 1.00±0.96 for the Kathijal followed by 0.99±0.27 for the Badhajal and 0.99±0.42 for the Hookline. The highest annual catch per boat (kg boat-1 yr-1) which was 172.80±0.29 was recorded for the Hookline followed by 172.24±0.54 for the Chandijal and the lowest (152.08±0.21) for the Khalpata. Total annual catch by all the eight gears surveyed was estimated at 1318.60±0.37 kg from 1,428 unit gears, 545 individual boats and 1,989 individual fishers. Based on the above scenario, Hookline showed the best performance among the 8 gears used for Giant Freshwater Prawn harvesting in the Sundarbans by the small-scale artisanal fishery. It is believed that the findings and the recommendations of this study will be helpful to policy makers in improving the current status of Giant Freshwater Prawn fishery and relevant livelihood as well as conserving the SME ecosystem

scholarly journals Mangrove Mapping and Above-Ground Biomass Change Detection using Satellite Images in Coastal Areas of Thai Binh Province, Vietnam

2019 ◽  
Vol 3 (2) ◽  
pp. 248 ◽  
Author(s):  
Long Duc Nguyen ◽  
Cuong Trong Nguyen ◽  
Hoa Sy Le ◽  
Bao Quang Tran
Keyword(s):  
Satellite Images ◽  
Land Reclamation ◽  
Accuracy Assessment ◽  
Mangrove Ecosystem ◽  
Mangrove Forests ◽  
Above Ground Biomass ◽  
Tropical Regions ◽  
Mangrove Area ◽  
Ground Biomass ◽  
Mangrove Ecosystems

Mangroves are recognized as a highly valuable resource due to their provision of multiple ecosystem services. Therefore, mangrove ecosystems mapping and monitoring is a crucial objective, especially for tropical regions. Thai Binh province is one of the most important mangrove ecosystems in Vietnam. The mangrove ecosystem in this province has faced threats of deforestation from urban development, land reclamation, tourism activities, and natural disasters. Recently, to maintain the fundamental functions of the ecosystems, a large mangrove area was planted in Thai Binh. The aim of this research is to detect the change in the mangrove areas and to create an aboveground biomass map for mangrove forests in Thai Binh province. Landsat and Sentinel-2 satellite images from 1998 to 2018 were analysed using the supervised classification method to detect mangrove area change. Mangrove Above-ground Biomass (AGB) was estimated using linear regression between vegetation indices and field AGB survey. The accuracy assessment for the classified images of 1998, 2003 and 2007, 2013 and 2018 are 93%, 86%, 96%, 94% and 91% respectively with kappa of 0.8881, 0.7953, 0.9357, 0.9114 and 0.8761. The mangrove cover in the study area was estimated at 5874.93 ha in 1998. This figure decreased significantly to 4433.85 ha in 2007, before recovery began to take place in the study area, which was estimated at 6587.88 ha in 2018. In 1998, the average AGB in this study area was 22.57 ton/ha, and in 2018 it was 37.74 ton/ha with a standard error of 12.41 ton/ha and the root mean square error (RMSE) was ±12.08 ton/ha.

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