Unveiling the interplay between tree stand attributes, species diversity, and biomass carbon in Chunati Wildlife Sanctuary, Southeastern Bangladesh
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MEHEDI HASAN RAKIB
♥
S. M. SAKIB HOSSAIN
MOHAMMAD WASIF MURSALIN SADNAN
MOHD IMRAN HOSSAIN CHOWDHURY
https://orcid.org/0009-0004-3762-3583
Abstract
Abstract. Rakib MH, Hossain SMS, Sadnan MWM, Chowdhury MIH. 2024. Unveiling the interplay between tree stand attributes, species diversity, and biomass carbon in Chunati Wildlife Sanctuary, Southeastern Bangladesh. Intl J Trop Drylands 8: 95-105. Biodiversity plays a pivotal role in maintaining ecosystem health and resilience, especially in tropical forest landscapes. This study investigates the intricate relationships between stand structure, biodiversity indices, and biomass carbon within forest ecosystems, specifically focusing on the Chunati Wildlife Sanctuary (CWS), a tropical forestland in Southeastern Bangladesh. The key structural attributes, i.e. tree height, diameter at breast height (DBH), basal area, and stand density, as well as biodiversity indices, were analyzed to understand their correlations with biomass carbon. The study exhibits the measured soil carbon levels ranging from 35.26 to 93.26 Mg C ha-1 and tree biomass carbon from approximately 131.13 to 387.23 Mg C ha-1. The findings revealed a strong positive correlation between tree height and biomass carbon (R² = 0.6517), indicating that taller trees generally store more carbon due to enhanced photosynthesis. Notably, DBH exhibited a robust correlation (R² = 0.8683), highlighting the significance of larger trees as carbon sinks. The basal area emerged as the strongest predictor of biomass carbon, with an impressive correlation (R² = 0.9119). The Shannon-Wiener and Margalef's richness indices had moderate to strong correlations with biomass carbon (R² = 0.4473 and R² = 0.5663) respectively. These results underscore the importance of maintaining diverse and structurally complex forests for effective carbon sequestration. The future study should incorporate additional ecological variables to refine models for predicting forest carbon dynamics with the vast change in tropical landscapes and inform better conservation strategies, leading to tropical biodiversity conservation and climate change mitigation efforts on tropical landscapes.
2017-01-01
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References
Ali S, Khan SM, Siddiq Z, Ahmad Z, Ahmad KS, Abdullah A, Hashem A, Al-Arjani ABF, & Abd_Allah EF. 2022. Carbon sequestration potential of reserve forests present in the protected Margalla Hills National Park. Journal of King Saud University - Science, 34(4), 101978. DOI: 10.1016/j.jksus.2022.101978
Alongi DM. 2020. Carbon payments for mangrove conservation: Ecosystem constraints and uncertainties of sequestration potential Carbon payments for mangrove conservation: ecosystem constraints and uncertainties of sequestration potential. Environmental Science and Policy, 14(4), 462–470. DOI: 10.1016/j.envsci.2011.02.004
Anne E. Magurran. (1988). Ecological Diversity and Its Measurement.
Ball DF. 1964. LOSS?ON?IGNITION AS AN ESTIMATE OF ORGANIC MATTER AND ORGANIC CARBON IN NON?CALCAREOUS SOILS - BALL - 1964—Journal of Soil Science.
Chave J, Coomes D, Jansen S, Lewis SL, Swenson NG, & Zanne AE. 2009. Towards a worldwide wood economics spectrum. Ecology Letters, 12(4), 351–366. DOI: 10.1111/J.1461-0248.2009.01285.X
Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E, Colgan MS, Delitti WBC, Duque A, Eid T, Fearnside PM, Goodman RC, Henry M, Martínez-Yrízar A, Mugasha WA, Muller-Landau HC, Mencuccini M, Nelson BW, Ngomanda A, Nogueira EM, Ortiz-Malavassi E, Vieilledent G. 2014. Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology, 20(10), 3177–3190. DOI: 10.1111/gcb.12629
Chowdhury MIH, Chinmoy Das. 2024b. Carbon Sequestration Potentials for Conservation of Sheikh Russel Aviary and Eco-Park, Rangunia, Chittagong. Journal of Environmental Science and Economics, 3(2), 90–101. DOI: 10.56556/jescae.v3i2.940
Chowdhury MIH, Rakib MH, Das C, Hossain Z. 2024a. Tree Species Germination: A Comprehensive Meta-Analysis and its Implications for Pre-Sowing Treatment in Bangladesh. Journal Of Soil, Plant and Environment,3(1), 24–40.
Chowdhury MIH, Rakib MH, Das C. 2023. Intra and Interspecific Relation of Tree Species Aspects of Seed Biometry, Phenology, Seed Dispersion, and Germination. Journal of Agriculture Sustainability and Environment, 2(2), 57–69. DOI: 10.56556/jase.v2i2.877
Dallmeier F, Kabel M, & Rice R. (1992). Long-term monitoring of biological diversity in tropical forest areas: Methods for establishment and inventory of permanent plots.
Fox JM, Quazi S. 2007. Making Conservation Work: Linking Rural Livelihoods and Protected Area Management in Bangladesh Sugato Dutt State Planning Commission Tamil Nadu. In East-West Center and Nishorgo Program of the Bangladesh Forest Department (Issue May 2014).
Hossain, M. A., Hossain, M. K., Salam, M., & Rahman, S. (2013). Composition and Diversity of Tree Species in Dudhpukuria-Dhopachori Wildlife Sanctuary of Chittagong (South) Forest Division, Bangladesh.
Hasan M, Jorin T, Sayok AK. 2023. Biodiversity Information Systems in Geospatial Applications for Protected Area Management. March. DOI: 10.5923/j.ajgis.20231201.01
Islam K, Jashimuddin M, Nath B, Nath TK. 2018. Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. Egyptian Journal of Remote Sensing and Space Science, 21(1), 37–47. DOI: 10.1016/J.EJRS.2016.12.005
Islam I, Cui S, Hoque MZ, Abdullah HM, Tonny KF, Ahmed M, Ferdush J, Xu L, Ding S. 2022. Dynamics of Tree outside Forest Land Cover Development and Ecosystem Carbon Storage Change in Eastern Coastal Zone, Bangladesh. Land, 11(1). DOI: 10.3390/land11010076
Islam K, Jashimuddin M, Nath B, Nath TK. 2018. Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. Egyptian Journal of Remote Sensing and Space Science, 21(1), 37–47. DOI: 10.1016/j.ejrs.2016.12.005
Islam KN, Rahman MM, Jashimuddin M, Islam K, Zhang Y. 2020. Impact of co-management on tree diversity and carbon sequestration in protected areas: Experiences from Bangladesh. Trees, Forests and People, 2(June), 100033. DOI: 10.1016/j.tfp.2020.100033
Kohli RK, Singh HP, & Rani D. 1996. Status of Floor Vegetation under Some Monoculture and Mixculture Plantations in North India. Journal of Forest Research, 1(4), 205–209. DOI: 10.1007/BF02348326
Kessler M, Abrahamczyk S, Bos M, Buchori D, Putra DD, Gradstein SR, Höhn P, Kluge J, Orend F, Pitopang R, Saleh S, Schulze CH, Sporn SG, Steffan-Dewenter I, Tjitrosoedirdjo SS, Tscharntke T. 2009. Alpha and beta diversity of plants and animals along a tropical land-use gradient. Ecological Applications, 19(8), 2142–2156. DOI: 10.1890/08-1074.1
Kongsager R, Napier J, Mertz O. 2013. The carbon sequestration potential of tree crop plantations. Mitigation and Adaptation Strategies for Global Change, 18(8), 1197–1213. DOI: 10.1007/s11027-012-9417-z
Macdicken K. 2015. A Guide to Monitoring Carbon Storage in Forestry and Agroforestry Projects.
P Michael. 1984. Ecological Methods for Field and Laboratory Investigations.
Pearson T, Walker S, Brown S. 2005. Sourcebook for Land use, Land-use change and forestry projects.
Pielou EC. 1966. The Measurement of Diversity in Different Types of Biological Collections. Journal of Theoretical Biology, 13, 131-144. DOI: 10.1016/0022-5193(66)90013-0
Rahman Md. H, Roy B, Chowdhury GM, Hasan A, Saimun Md. SR. 2022. Medicinal plant sources and traditional healthcare practices of forest-dependent communities in and around Chunati Wildlife Sanctuary in southeastern Bangladesh. Environmental Sustainability, 5(2), 207–241. DOI: 10.1007/S42398-022-00230-Z
Rahman MM, Mahmud MAAl, Ahmed FU. 2017. Restoration of degraded forest ecosystem through non-forestry livelihood supports: experience from the Chunati Wildlife Sanctuary in Bangladesh. Forest Science and Technology, 13(3), 109–115. DOI: 10.1080/21580103.2017.1349003
Rahman M, Parvin W, Sultana N, Tarek S. 2018. Ex-situ conservation of threatened forest tree species for sustainable use of forest genetic resources in Bangladesh. Journal of Biodiversity Conservation and Bioresource Management, 4(2), 89–98. DOI: 10.3329/jbcbm.v4i2.39855
Rahman MS. 2020. Forest-based Tourism in Bangladesh: Challenges Unveiled for the Sundarbans Forest-based Tourism in Bangladesh: Challenges Unveiled for the Sundarbans. European Journal of Business and Management, 10(April), 97–107.
Rakib MH, Chowdhury MIH, Das C, et al. Wildlife Ecological Spectrum: unveiling alpha (?), beta (?), and gamma (?) diversity of the Kaptai National Park, Bangladesh, 24 July 2024, PREPRINT (Version 1) available at Research Square. DOI: 10.21203/rs.3.rs-4668666/v1
Rahman S, Obaydullah AKM. 2020. Causes for Degradation to Chunati Wildlife Sanctuary and Its Restoration Strategy. International Journal of Research and Innovation in Social Science (IJRISS), IV(V), 90–97.
Roy M, Biswas B, Ghosh S. 2015. Trend Analysis of Climate Change in Chittagong Station in Bangladesh. International Letters of Natural Sciences, 47(1), 42–53.
Sattar MA, Bhattachatjee DK, Kabir MF. 1999. Physical and Mechanical Properties and Uses of Timbers of Bangladesh. Bangladesh Forest Research Institute.
Shaheed M, Chowdhury H. 2014. Forest conservation in protected areas of Bangladesh. World Forests, 268. DOI: 10.1007/978-3-319-08147-2
Sandra Brown. 1997. Estimating Biomass and Biomass Change of Tropical Forests: A Primer.
Shukla R, & Chandel PS. 2016. A Textbook of Plant Ecology including Ethnobotany and Soil Science.
Sheikh MA, Kumar M, Bussman RW, Todaria N. 2011. Forest carbon stocks and fluxes in physiographic zones of India. Carbon Balance and Management, 6(1), 15. DOI: 10.1186/1750-0680-6-15
Simon, Longonje N, Mbua RL, Roger E. 2018. Estimation of carbon stock in Bimbia Bonadikombo coastal community forest, south west region, Cameroon: An implication for climate change mitigation. International Journal of Scientific Research and Management, 6(10). DOI: 10.18535/ijsrm/v6i10.fe02
Srinivasan UT, Carey SP, Hallstein E, Higgins PAT, Kerr AC, Koteen LE, Smith AB, Watson R, Harte J, Norgaard RB. 2008. The debt of nations and the distribution of ecological impacts from human activities. Proceedings of the National Academy of Sciences,105(5),1768–1773. DOI: 10.1073/pnas.0709562104
Talukdar NR, Ahmed R, Choudhury P, Barbhuiya NA. 2020. Assessment of forest health status using a forest fragmentation approach: A study in Patharia Hills Reserve Forest, northeast India. Modeling Earth Systems and Environment, 6(1), 27– 37. DOI: 10.1007/s40808-019-00652-5
Teets A, AS Bailey, K Hufkens, SV Ollinger, C Schädel, B Seyednasrollah, AD Richardson. 2023. Early spring onset increases carbon uptake more than late fall senescence: modeling future phenological change in a US northern deciduous forest. Oecologia. DOI: 10.1007/s00442-022-05296-4
Wellnitz T. 2003. Making Conservation Pay. Ecology, 84(1), 270–271. DOI: 10.1890/0012-9658
Zukswert J, Vadeboncoeur MA, Yanai RD. 2023. Responses of stomatal density and carbon isotope composition of sugar maple and yellow birch foliage to N, P, and CaSiO3 fertilization. Tree Physiology, accepted. DOI: 10.1093/treephys/tpad142
Zhou Z, SV Ollinger, LC Lepine. 2018. Landscape variation in canopy nitrogen and carbon assimilation in a temperate mixed forest. Oecologia. DOI: 10.1007/s00442-018-4223-2