Biomass carbon stock assessment of mangrove ecosystem in Pannikiang Island South Sulawesi Indonesia

https://doi.org/10.22146/ijg.46989

Abdul Malik(1*), Uca Sideng(2), Jaelani Jaelani(3)

(1) Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar (UNM), Makassar, Indonesia
(2) Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar (UNM), Makassar, Indonesia
(3) Study Program of Geography Education, Postgraduate Program of Universitas Negeri Makassar, Jalan Bontolangkasa, Makassar
(*) Corresponding Author

Abstract


One of the essential services provided by mangroves is carbon sequestration, and therefore climate change mitigation. While previous assessments of mangrove carbon stocks and sequestrations have focused on the estuarine and deltaic mangrove setting, there are still limited studies carried out at small island mangroves. The study aims to assess mangrove biomass carbon stocks in Pannikiang, a small island in South Sulawesi, Indonesia, which occupies 91.64 ha of species-rich pristine mangrove forests. A field-based data collection survey was performed using a circular plot approach, while above-ground tree carbon (AGC) and below-ground root carbon (BGC) stocks were estimated using available species-specific allometric equations. The mean AGC and BGC were 5.34 ± 0.17 and 1.68 ± 0.04 Mg C ha-1, respectively. Bruguiera gymnorrhiza mangrove species stored the greatest of carbon stocks, followed by Scyphiphora hydrophyllacea. Carbon stocks obtained from small island mangroves in this study were lower than stocks assessed from other mangrove locations across Indonesia and Southeast Asia. However, historical rates of deforestation in Pannikiang Island may generate emissions to approximately 82.17 Mg CO2-eq. Findings from this study will be beneficial in providing baseline data for policy decision-making on climate change mitigation in the region, specifically for improved land use management via a low carbon development agenda.


Keywords


Mangrove; biomass carbon stock; climate change; South Sulawesi

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References

Abino, A. C., Castillo, J. A. A., & Lee, Y. J. (2014). Species Diversity, Biomass, and Carbon Stock Assessments of A Natural Mangrove Forest in Palawan, Philippines. Pak. J. Bot, 46(6), 1955–1962.

Alavaisha, E., & Mangora, M. M. (2016). Carbon Stocks in the Small Estuarine Mangroves of Geza and Mtimbwani, Tanga, Tanzania. International Journal of Forestry Research, 2016, 1–11. https://doi.org/10.1155/2016/2068283

Alongi, D. M. (2014). Carbon Cycling and Storage in Mangrove Forests. Annual Review of Marine Science, 6(1), 195–219. https://doi.org/10.1146/annurev-marine-010213-135020

Bindu, G., Rajan, P., Jishnu, E. S., & Ajith Joseph, K. (2020). Carbon stock assessment of mangroves using remote sensing and geographic information system. The Egyptian Journal of Remote Sensing and Space Science, 23(1), 1–9. https://doi.org/10.1016/J.EJRS.2018.04.006

Cameron, C., Hutley, L. B., Friess, D. A., & Brown, B. (2019). Community structure dynamics and carbon stock change of rehabilitated mangrove forests in Sulawesi, Indonesia. Ecological Applications, 29(1). https://doi.org/10.1002/eap.1810

Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4(5), 293–297. https://doi.org/10.1038/ngeo1123

Duke, N. C., Ball, M., & Ellison, J. C. (1998). Factors Influencing Biodiversity and Distributional Gradients in Mangroves. Global Ecology and Biogeography Letter, 7(1), 27–47.

FAO. (2007). The World’s Mangrove 1980-2005 (No. 153; FAO Forestry Paper).

Friess, D. A. (2016). Ecosystem Services and Disservices of Mangrove Forests: Insights from Historical Colonial Observations. Forests 2016, Vol. 7, Page 183, 7(9), 183. https://doi.org/10.3390/F7090183

Giesen, W., Baltzer, M., & Baruadi, R. (1991). Integrating conservation with land-use development in wetlands of South Sulawesi. Asian Wetland Bureau (AWB)-Indonesia.

Giri, C., Ochieng, E., Tieszen, L. L., Zhu, Z., Singh, A., Loveland, T., Masek, J., & Duke, N. (2011). Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20(1), 154–159. https://doi.org/10.1111/j.1466-8238.2010.00584.x

Howard, J., Hoyt, S., Isensee, K., Telszewski, M., & Pidgeon, E. (2014). Coastal blue carbon: methods for assessing carbon stocks and emissions factors in mangroves, tidal salt marshes, and seagrasses. Conservation International, Intergovernmental Oceanographic Commission ofUNESCO, International Union for Conservation of Nature. https://cgspace.cgiar.org/handle/10568/95127

Jaelani, Malik, A., & Djalil, A. R. (2021). Mangrove Changes in Pannikiang Island Barru Regency South Sulawesi. Journal of Physics: Conference Series, 1752(1), 012088. https://doi.org/10.1088/1742-6596/1752/1/012088

Jalil, A., Malik, A., Nurdin, N., Saru, A., & Yunus, I. (2020). Assessment of seawater level, inundation duration and substrate elevation for mangrove rehabilitation program in the Spermonde Archipelago South Sulawesi Indonesia. International Journal of Conservation Science. International Journal of Conservation Science, 11(4), 1115–1126.

Kauffman, J. ., & Donato, D. . (2012). Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests (No. 86).

Komiyama, A., Poungparn, S., & Kato, S. (2005). Common allometric equations for estimating the tree weight of mangroves. Journal of Tropical Ecology, 21(4), 471–477. https://doi.org/10.1017/S0266467405002476

Malik, A., Fensholt, R., & Mertz, O. (2015). Mangrove exploitation effects on biodiversity and ecosystem services. Biodiversity and Conservation, 24(14), 3543–3557. https://doi.org/10.1007/s10531-015-1015-4

Malik, A., Jalil, A. R., Arifuddin, A., & Syahmuddin, A. (2020). Biomass Carbon Stocks In The Mangrove Rehabilitated Area Of Sinjai District, South Sulawesi, Indonesia. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY, 13(3), 32–38. https://doi.org/10.24057/2071-9388-2019-131



DOI: https://doi.org/10.22146/ijg.46989

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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

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