Structural characterization and species composition of mangrove vegetation in Lhokseumawe, Indonesia: Insight from multivariate analysis

Adinda Aulia Putri, Erlangga Erlangga, Syahrial Syahrial, Riri Ezraneti, Hayatun Nufus, Yusyam Leni, Febrina Rolin

Abstract


The structure of the plant community significantly influences the equilibrium of the surrounding environment, affecting the trophic interactions within its ecosystem. The investigation of mangrove vegetation in Cut Mamplam village was carried out in September 2021 to determine the condition and structural characteristics of the mangrove ecosystem by multivariate analysis. The mangrove vegetation in Cut Mamplam Village was sampled at three observation stations by establishing a transect parallel to the coast. Subsequently, the community structure was examined and assessed using cluster analysis and nonmetric multidimensional scaling using the PRIMER v7 software. The study findings indicate that the mangrove forest vegetation in Cut Mamplam Village consists of five species from three families. Avicennia alba, A. lanata, Bruguiera gymnorrhiza, Rhizophora mucronata and Sonneratia alba. The highest density of mangrove vegetation was observed in A. alba in all categories: trees (616.67 ind/ha), seedlings (833.33 ind/ha) and saplings (66666.67 ind/ha). Additionally, the highest important value index (IVI) was recorded in A. alba for all categories: trees (232.16%), seedlings (102.40%), and saplings (228.43%). A similarity of mangrove density between species was noted at 60%, resulting in the formation of two distinct groups. Regarding the basal area, the vegetation stands of A. alba and A. lanata exhibited the highest values (280.61 and 266.03 m2/ha, respectively). The similarity of basal area among the observed species was 20%, resulting in the formation of two distinct groups. Additionally, Station II, classified as having mature vegetation, demonstrated a maturity similarity of 80% between observation stations.


Keywords


Multivariate statistic; cluster analysis; MDS; mangrove vegetation

Full Text:

PDF

References


ACES (Alabama Cooperative Extension System) (2010). Basal area: A measure made for management (ANR-1371).

Adame, M. F., Brown, C. J., Bejarano, M., Herrera-Silveira, J. A., Ezcurra, P., Kauffman, J. B., & Birdsey, R. (2018). The undervalued contribution of mangrove protection in Mexico to carbon emission targets. Conservation Letters, 11, Article e12445. https://doi.org/10.1111/conl.12445.

Alongi, D. M. (2002). Present state and future of the world's mangrove forests. Environmental Conservation, 29(3), 331-349. https://doi.org/10.1017/S0376892902000231.

Alongi, D. M. (2018). Impact of global change on nutrient dynamics in mangrove forests. Forests, 9(10), 596. https://doi.org/10.3390/f9100596.

Analuddin, K., Jamili, R., Raya, R., Septiana, A., & Rahim, S. (2013). The spatial trends in the structural characteristics of mangrove forest at the Rawa Aopa Watumohai National Park, Southeast Sulawesi, Indonesia. International Research Journal of Plant Science, 4(7), 214-221.

Anderson, T. W. (2003). An introduction to multivariate statistical analysis (3rd ed.). John Wiley & Sons, Inc.

Araujo, A. O., Mendonça, L. A. R., de Sousa Lima, M. G., Feitosa, J. V., da Silva, F. J. A., Ness, R. L. L., Frischkorn, H., Simplicio, A. A. F., & Kerntopf, M. R. (2013). Changes in soil properties of a forest management area on the Araripe Plateau. Revista Brasileira de Ciência do Solo, 37, 754-762. https://doi.org/10.1590/S0100-06832013000300022.

Araujo, R. J., & Shideler, G. S. (2019). An R package for computation of mangrove forest structural parameters using plot and plotless methods. Madera y Bosques, 25, Article e2511696. https://doi.org/10.21829/myb.2019.2511696.

Bengen, D. G. (2000). Sampling techniques and biophysical data analysis of coastal resources. Center for Coastal and Marine Resources Studies, IPB.

Bengen, D. G. (2004). Technical guidelines for introduction and management of mangrove ecosystems. Center for Coastal and Marine Resources Studies, IPB.

Campbell, N. A., Reece, J. B., & Mitchell, L. G. (2004). Biologi (Vol. 3, 5th ed.). Erlangga.

Chakraborty, S. K. (2013). Interactions of environmental variables determining the biodiversity of coastal-mangrove ecosystem of West Bengal, India. The Ecoscan, 3, 251-265.

Cruz-Cardenas, G., Silva, J. T., Ochoa-Estrada, S., Estrada-Godoy, F., & Nava-Velazquez, J. (2017). Delineation of environmental units by multivariate techniques in the Duero River Watershed, Michoacan, Mexico. Environmental Modeling and Assessment, 22, 257-266. https://doi.org/10.1007/s10666-016-9534-2.

da Silva, F. B. V., do Nascimento, C. W. A., Araujo, P. R. M., da Silva, L. H. V., & da Silva, R. F. (2016). Assessing heavy metal sources in sugarcane Brazilian soils: An approach using multivariate analysis. Environmental Monitoring and Assessment, 188, 1-12. https://doi.org/10.1007/s10661-016-5409-x.

Delshab, H., Farshchi, P., & Keshavarzi, B. (2016). Geochemical distribution, fractionation, and contamination assessment of heavy metals in marine sediments of the Asaluyeh port, Persian Gulf. Marine Pollution Bulletin, 115, 401-411. https://doi.org/10.1016/j.marpolbul.2016.11.033.

Duke, N. C. (2016). Oil spill impacts on mangroves: Recommendations for operational planning and action based on a global review. Marine Pollution Bulletin, 109, 700-715. https://doi.org/10.1016/j.marpolbul.2016.06.082.

Eddy, S., Mulyana, A., Ridho, M. R., & Iskandar, I. (2015). The anthropogenic activities impact to mangrove forests degradation in Indonesia. Lingkungan dan Pembangunan, 1, 240-254.

Efriyeldi, E., Syahrial, S., Effendi, I., Almanar, I. P., & Syakti, A. D. (2023). The mangrove ecosystem in a harbor-impacted city in Dumai, Indonesia: A conservation status. Regional Studies in Marine Science, 65, Article 103092. https://doi.org/10.1016/j.rsma.2023.103092.

Ezraneti, R., Syahrial, & Erniati. (2021). Assessment of non-metallic pollutant sources in saltwater reservoir Pusong in Lhokseumawe City based on multivariate analysis. Kelautan Tropis, 24, 34-44. https://doi.org/10.14710/jkt.v24i1.9617.

Facchinelli, A., Sacchi, E., & Mallen, L. (2001). Multivariate statistical and GIS-based approach to identify heavy metal sources in soils. Environmental Pollution, 114, 313-324. https://doi.org/10.1016/S0269-7491(00)00243-8.

Fachrul, M. F. (2007). Metode sampling bioekologi. PT. Bumi Aksara.

Filho, C. A. D. C., Moreira, R. M., Branco, O. E. A., Dutra, P. H., Santos, E. A. D., Moura, I. F. S., Fleming, P. M., & Palmieri, H. E. L. (2017). Combined hydrochemical, isotopic, and multivariate statistics techniques to assess the effects of discharges from a uranium mine on water quality in neighboring streams. Environmental Earth Sciences, 76, Article 830. https://doi.org/10.1007/s12665-017-7165-9.

Grosholz, E. (2002). Ecological and evolutionary consequences of coastal invasions. Trends in Ecology and Evolution, 7, 22-27. https://doi.org/10.1016/S0169-5347(01)02358-8.

Hamka, M., Basyuni, M., & Agustina, L. (2012). Characterization of isoprenoid compounds and seedling growth of mangrove Avicennia alba Bl. Peronema Forestry Science, 1, 1-9.

Harkes, I. H. T., Drengstig, A., Kumara, M. P., Jayasinghe, J. M. P. K., & Huxham, M. (2015). Shrimp aquaculture as a vehicle for climate-compatible development in Sri Lanka: The case of Puttalam Lagoon. Marine Policy, 61, 273-283. https://doi.org/10.1016/j.marpol.2015.08.003.

Hartati, & La Harudu. (2016). Identification of types of mangrove forest ecosystem damage due to human activities in Lowulowu Village, Lea-Lea District, Baubau City. Geographical Education Research, 1, 30-45.

Ilman, M., Dargusch, P., Dart, P., & Onrizal. (2016). A historical analysis of the drivers of loss and degradation of Indonesia's mangroves. Land Use Policy, 54, 448-459. https://doi.org/10.1016/j.landusepol.2016.03.010.

Indelicato, S., Bongiorno, D., Tuzzolino, N., Mannino, M. R., Muscarella, R., Fradella, P., Gargano, M. E., Nicosia, S., & Ceraulo, L. (2018). Multivariate analysis of historical data (2004–2013) in assessing the possible environmental impact of the Bellolampo landfill (Palermo). Environmental Monitoring and Assessment, 190, Article 216. https://doi.org/10.1007/s10661-018-6594-6.

Ismoyo, U., Hendrarto, B., & Suryanti. (2017). Analysis of organic matter and soil quality on the size of mangrove leaves at Mojo Village, Ulujami Pemalang. Saintek Perikanan, 12, 134-138. https://doi.org/10.14710/ijfst.12.2.134-138.

Junior, A. I. D. O., Mendonca, L. A. R., De Brito Fontenele, S., Araujo, A. O., & De Sousa Lima Brito, M. G. (2019). Statistical multivariate analysis applied to environmental characterization of soil in Semiarid region. Revista Caatinga, 32, 200-210. https://doi.org/10.1590/1983-21252019v32n120rc.

Kartawinata, K. (2010). Two centuries revealing the richness of Indonesian flora and ecosystems. Sarwono Prawirohardjo Memorial Lecture X - LIPI.

Kasim, F., & Lamalango, A. (2019). Combination of tracking and Point Centered Quarter (PCQ) methods for carbon stock analysis of rare mangroves in Menanggu District, Boalemo Regency. Final report of collaborative research of lecturers and students with PNBP funds in fiscal year 2019. Aquatic Resources Management Study Program, Faculty of Fisheries and Marine Sciences, Gorontalo State University. Gorontalo, Indonesia.

Kepel, T. L., Ati, R. N. A., Rahayu, Y. P., & Adi, N. S. (2018). The impact of mangrove conversion on sediment properties and capacity to store carbon. Kelautan Nasional, 13, 145-153. https://doi.org/10.15578/jkn.v13i3.6620.

Khwedim, K., Meza-Figueroa, D., Hussien, L. A., & Rıo-Salas, R. D. (2015). Trace metals in topsoils near the Babylon Cement Factory (Euphrates River) and human health risk assessment. Environmental Earth Sciences, 74, 665-673. https://doi.org/10.1007/s12665-015-4071-x.

Kumar, V., Sharma, A., Kumar, R., Bhardwaj, R., Thukral, A. K., & Rodrigo-Comino, J. (2018). Assessment of heavy-metal pollution in three different Indian water bodies by combination of multivariate analysis and water pollution indices. Human and Ecological Risk Assessment, 26. https://doi.org/10.1080/10807039.2018.1497946.

Lahabu, Y., Schaduw, J. N. W., & Windarto, A. B. (2015). Mangrove ecological conditions in Mantehage Island, Wori District North Minahasa Regency, North Sulawesi Province. Pesisir dan Laut Tropis, 2, 41-52. https://doi.org/10.35800/jplt.3.2.2015.10851.

Lara, R. J., Neogi, S. B., Islam, M. S., Mahmud, Z. H., Islam, S., Paul, D., Demoz, B. B., Yamasaki, S., Nair, G. B., & Kattner, G. (2011). Vibrio cholerae in waters of the Sunderban mangrove: Relationship with biogeochemical parameters and chitin in seston size fractions. Wetlands Ecology and Management, 19, 109-119. https://doi.org/10.1007/s11273-010-9204-0.

Lovelock, C. E., Cahoon, D. R., Friess, D. A., Guntenspergen, G. R., Krauss, K. W., Reef, R., Rogers, K., Saunders, M. L., Sidik, F., Swales, A., Saintilan, N., Thuyen, L. X., & Triet, T. (2015). The vulnerability of Indo-Pacific mangrove forests to sea-level rise. Nature, 526, 559-563. https://doi.org/10.1038/nature15538.

Lucho-Constantino, C. A., Alvarez-Suarez, M., Beltran-Hernandez, R. I., Prieto-García, F., & Poggi-Varaldo, H. M. (2005). A multivariate analysis of the accumulation and fractionation of major and trace elements in agricultural soils in Hidalgo State, Mexico irrigated with raw wastewater. Environment International, 31, 313-323. https://doi.org/10.1016/j.envint.2004.08.002.

Maiti, S. K., & Chowdhury, A. (2013). Effects of anthropogenic pollution on mangrove biodiversity: A review. Environmental Protection, 4, 1428-1434. https://doi.org/10.4236/jep.2013.412163.

Menendez, P., Losada, I. J., Torres-Ortega, S., Narayan, S., & Beck, M. W. (2020). The global flood protection benefits of mangroves. Scientific Reports, 10, Article 4404. https://doi.org/10.1038/s41598-020-61136-6.

MNLH (Minister of State for the Environment, Republic of Indonesia) (2004). Decree of the Minister of State for the Environment on Standard Criteria and Guidelines for Determining Mangrove Damage Number 201. Jakarta, Indonesia.

Motamedi, S., Hashim, R., Zakaria, R., Song, K., & Sofawi, B. (2014). Long-term assessment of an innovative mangrove rehabilitation project: Case study on Carey Island, Malaysia. The Scientific World Journal, 2014, 1-12. https://doi.org/10.1155/2014/953830.

Mueller-Dombois, D., & Ellenberg, H. (1974). Aims and methods of vegetation ecology. John Wiley & Sons.

Osland, M., Feher, L., Griffith, K., Cavanaugh, K., Enwright, N., Day, R. H., Stagg, C. L., Krauss, K. W., Howard, R. J., Grace, J. B., & Rogers, K. (2016). Climatic controls on the global distribution, abundance, and species richness of mangrove forests. Ecological Monographs, 87, 341-359. https://doi.org/10.1002/ecm.1248.

Polania, J., Urrego, L. E., & Agudelo, C. M. (2015). Recent advances in understanding Colombian mangroves. Acta Oecologica, 63, 82-90. https://doi.org/10.1016/j.actao.2015.01.001.

Rencher, A. C. (2002). Methods of multivariate analysis (2nd ed.). John Wiley & Sons, Inc. https://doi.org/10.1002/0471271357.

Schuerch, M., Spencer, T., Temmerman, S., Kirwan, M. L., Wolff, C., Lincke, D., McOwen, C. J., Pickering, M. D., Reef, R., Vafeidis, A. T., Hinke, J., Nicholls, R. J., & Brown, S. (2018). Future response of global coastal wetlands to sea-level rise. Nature, 561, 231-234. https://doi.org/10.1038/s41586-018-0476-5.

Singh, V. B., & Ramanathan, A. L. (2015). Assessment of solute and suspended sediments acquisition processes in the Bara Shigri glacier meltwater (Western Himalaya, India). Environmental Earth Sciences, 74, 2009-2018. https://doi.org/10.1007/s12665-015-4584-3.

Indonesian National Standardization. (2011). Mangrove survey and mapping - BNS 7717. National Standardization Agency.

Sriyani, N. (2012). Practical guide for weed control science and engineering. Department of Agricultural Cultivation, Faculty of Agriculture, University of Lampung.

Syahrial, Hatta, M., Larasati, C. E., Ruzanna, A., Muzafri, A., Hasidu, L. O. A. F., Syahrian, W., & Zibar, Z. (2023). Multivariate analysis on mangrove community structure in North Rupat District, Bengkalis Regency, Riau Province. Kelautan Tropis, 26, 223-237. https://doi.org/10.14710/jkt.v26i2.15622.

Syarifuddin, A., & Zulharman. (2012). Analysis of mangrove forest vegetation in Lembar Port, West Lombok Regency, West Nusa Tenggara. Gamma, 7, 1-13.

van der Maarel, E. (2005). Vegetation ecology. Blackwell Publishing.

Wang, Y., Qiu, Q., Xin, G., Yang, Z., Zheng, J., Ye, Z., & Li, S. (2013). Heavy metal contamination in a vulnerable mangrove swamp in South China. Environmental Monitoring and Assessment, 185, 5775-5787. https://doi.org/10.1007/s10661-012-2983-4.

Zakaria, R. M., Sofawi, A. B., Joharee, N. A., & Pauzi, A. Z. (2018). Stand structure and biomass estimation in the Klang Islands Mangrove Forest, Peninsular Malaysia. Environmental Earth Sciences, 77, Article 486. https://doi.org/10.1007/s12665-018-7636-7.

Zhang, Z., Xu, X., Sun, Y., Yu, S., Chen, Y., & Peng, J. (2014). Heavy metal and organic contaminants in mangrove ecosystems of China: A review. Environmental Science and Pollution Research, 21, 11938-11950. https://doi.org/10.1007/s11356-014-3100-8.




DOI: https://doi.org/10.29103/joms.v1i3.19052

Article Metrics

 Abstract Views : 183 times
 PDF Downloaded : 14 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Adinda Aulia Putri; Erlangga Erlangga; Syahrial Syahrial; Riri Ezraneti; Hayatun Nufus; Yusyam Leni; Febrina Rolin

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Journal of Marine Studies published by the Department of Marine Science, part of the Universitas Malikussaleh
Content on this site: Copyright © 2024 Journal of Marine Studies

Journal of Marine Studies is licensed under a Creative Commons Attribution 4.0 International License