CARBON STOCK ESTIMATION IN PICHAVARAM MANGROVE FOREST, TAMIL NADU, INDIA
Keywords:
Mangrove, Ecosystem, Allometric, Carbon sequestration, Climate changeAbstract
The study was carried out during 2020 in Pichavaram mangrove wetland site located between Lat. 11°20’N and Long 79°55’E. Pichavaram mangrove forest is situated between two prominent estuaries, the Vellar estuary in the north and Coleroon estuary in the south. The Vellar-Coleroon estuarine complex forms the Killai backwater and Pichavaram mangroves. Seven circular plots were established with a radius of 17.84 m and an area of 1000 m² per plot in four sites classified as Plot 1, 2, 3 and 4. These plots were laid out in selected reserve forest areas of Killai, Pichavaram and Pichavaram Extension. Three pools of carbon were considered to measure the carbon stored in mangrove ecosystems. They were above-ground biomass, below-ground biomass/root and sediment/soil. Above-ground biomass (Wtop) and root biomass (WR) were estimated using the allometric equations for mangroves. The soil samples were collected in the landward side, dense and seaward mangroves stand in a depth of 0-15 cm, 15-30 cm, 30-60 cm and 60-90 cm using a stainless steel spade. Among 4 sample plots, the maximum biomass of 113.80 tonnes/hectare and biomass carbon of 56.90 tonnes/hectare was recorded in Plot 3 of Pichavaram RF. The minimum biomass of 32.61 tonnes/hectare and minimum biomass carbon of 16.31 tonnes/ha was recorded in plot 2. Estimated results were found clear that role of mangrove soil as an important carbon pool. Mangroves ecosystem played an auspicious role in mitigate the climate change impacts through carbon storage and it proved that it has maximum potential in carbon sequestration through analysis. In addition with, the founded results clearly depicts that it is important to conserve mangroves and wetland ecosystems.
Downloads
References
Almeida Sitoe, A., Luís Júnior Comissário Mandlate and Benard Guedes, S. (2014) Biomass and Carbon Stocks of Sofala Bay Mangrove Forests. www.mdpi.com/journal/forests.
Alongi, D.M., (2009). The energetics of mangrove forests. Springer Science and Business Media BV, New York.
Blasco, F. (1975). The mangroves of India. Institute Francais De Pondicherry Travaux de la section. Scientifique of technique. Tome XIV. Fasc. 1: 1-175.
Bosire, J.; Bandeira, S.O.; Rafael, J. Coastal Climate Change Mitigation and Adaptation through REDD+ Carbon Programs in Mangroves in Mozambique: Pilot in the Zambezi Delta. Component: Determination of Carbon Stocks through Localized Allometric Equations; Eduardo Mondlane University: Maputo, Mozambique, 2012; p. 27.
Bray, R.H. and L.T. Kurtz. 1945. Determination of total, organic and available forms of phosphrous in soils. Soil Sci. 59: 39-45
Chavan, B. L. and G. B. Rasal., (2010), “Sequestered standing carbon stock in selective tree species grown in University campus at Aurangabad, Maharashtra, India,” International Journal of Engineering Science and Technology, vol. 2, pp. 3003-3007.
Das, S., De, M., Ganguly, D., Maiti, T. K., Mukherjee, A., Jana, T. K., De, T. K. (2012): Depth integrated microbial community and physico-chemical properties in mangrove soil of Sundarban, India. – Advances in Microbiology 2: 234–240.
Fatoyinbo, T.S.M.; Washington-Allen, R.A.; Shugart, H.H. Landscape-scale extent, height, biomass, and carbon estimation of Mozambique’s mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data. J. Geophys. Res. 2008, 113, G02S06.
Giesen, W., Wulffraat, S., Zieren, M. and Scholten, L. (2007). Mangrove guidebook for Southeast Asia. Food and Agricultural Organisation and Wetlands International, Bangkok.
Gorte Ross W, (2009). Carbon Sequestration in Forests. Congressional Research Service.
Havlin, J. L., Tisdale, S. L., Nelson, W. L., Beaton, J. D. (2014): Soil Fertility and Fertilizers: An Introduction to Nutrient Management. – Pearson, Upper Saddle River, NJ.
India State of Forest Report (ISFR), 2019.
IPCC, (2003). Good Practice Guidance for Land Use. Land Use Change and Forestry. IPCC National Greenhouse Gas Inventories Programme. Kanagawa, Japan.
Istomo, C., Kusmana, B.D., Naibaho, (2017). Biomass potential on several mangrove planting models in Java Island, Indonesia AACL Bioflux, 10, pp. 754-767.
Kangkuso, J., Jamili, A., Septiana, R., Raya, I., Sahidin, U., Rianse, S., Rahim, Alfirman, S., Sharma, K., and Nadaoka, (2016). Allometric model and aboveground biomass of Lumnitzera racemosa Willd. Forest in Rawa Aopa Watumohai National Park, Southeast Sulawesi, Indonesia For. Sci. Technol., 12, pp. 43-50.
Kangkuso, S., Sharma, J., Jamili, A., Septiana, I., Sahidin, U., Rianse, S., and Rahim, K., (2018). Nadaoka Trends in allometric models and aboveground biomass of family Rhizophoraceae mangroves in the Coral Triangle ecoregion, Southeast Sulawesi, Indonesia J. Sustain. For. 10.1080/10549811.2018.1453843.
Komiyama, A.; Poungparn, S.; Kato, S. Common allometric equations for estimating the tree weight of mangroves. J. Trop. Ecol. 2005, 21, 471–477.
Kusmana, C., (1997). An estimation of above-and below-ground tree biomass of a mangrove forest in East Kalimantan, Indonesia J. Biol. Response Modif., 2, pp. 20-26.
Mitsch, W.J. and Gosselink, J.G. (2007). Wetlands, 4th edn. Wiley, New York.
Morikawa, Y., (2002). Biomass Measurement in Planted Forest in and Around Benakat. Fiscal Report of Assessment on the Potentiality of Reforestation and Afforestation Activities in Mitigating the Climate Change 2001 JIFPRO, Tokyo, Japan, pp. 58-63.
Muhd-Ekhzarizal, M.E., Mohd-Hasmadi, I., Hamdan, O., Mohamad-Roslan, M.K., and Noor-Shaila, S., (2018). Estimation of aboveground biomass in mangrove forests using vegetation indices from spot-5 image journal of Tropical forest science 30(2): 224–233.
Murdiyarso, D.D.D.; Kauffman, J.B.; Stidham, M.; Kanninen, M. Carbon Storage in Mangrove and Peatland Ecosystems: A Preliminary Account from Plots in Indonesia; Working paper 48; Center for International Forest Research (CIFOR): Bogor, Indonesia, 2011; p. 37.
Nelson, B.W., Mesquita, R., Periera, J.L.G., De Souza, S.G.A., Batista, G.T., Couto, L.B., (1999). Allometric regressions for improved estimate of secondary forest biomass in the Central Amazon For. Ecol. Manag., 117, pp. 149-167.
Panse, V.G. and P.V. Sukhatme., (1985). Statistical methods for agricultural workers (4th ed.). ICAR, New Delhi. 347p.
Patil, V., Singh, A., Naik, N., Seema, U. and Sawant, B.(2012). Carbon Sequestration in Mangroves Ecosystems. Journal of Environmental Research and Development Vol. 7 No. 1A, July-September 2012.
Sonaimuthu, M. 2016. Studies on Soil Quality Status as Influenced by Different Land Uses in Udhagai Range, Nilgiri South Forest Division, Tamil Nadu, M.Sc. Thesis, Forest College and Research Institute, Mettupalayam.
Stanford, S. and L. English. 1949. Use of flame photometer in rapid soil tests of K and Ca. Agron. J. 4: 446-447.
Subbiah, B.V. and G.L. Asija. 1956. A rapid method for estimation of available N in soil. Current Science, 25: 259-260.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 LIFE SCIENCES LEAFLETS
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright Notice
Authors retain all their rights to the published works, such as (but not limited to) the following rights;
- Copyright and other proprietary rights relating to the article, such as patent rights,
- The right to use the substance of the article in own future works, including lectures and books,
- The right to reproduce the article for own purposes,
- The right to self-archive the article
- The right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (LSL).
