COMMUNITY STRUCTURE AND HEALTHINESS OF MANGROVE IN MIDDLEBURG-MIOSSU ISLAND, WEST PAPUA

  • Doni Nurdiansah Pusat Penelitian Oseanografi (P2O), LIPI, Jakarta
  • I Wayan Eka Dharmawan Pusat Penelitian Oseanografi (P2O), LIPI, Jakarta
Keywords: community structure, interpolation, mangrove, mangrove health index, zonation

Abstract

Mangrove ecosystem plays important role in a small island’s existence and provided ecosystem services. Its functionality highly depends on the size, community structure, and ecosystem quality. A field study on the mangrove quality in a small island was conducted on Middleburg-Miossu Island as a series of Nusa Manggala Expedition 2018. The study was aimed to analyze the community structure and mangrove health index (MHI) of mangroves on the island related to remote sensing-based vegetation indices. Mangrove area was divided into four zones (Z1-Z4). The study results showed that the outmost zone was dominated by Sonneratia alba (IVI 263.32%), less than 50% of canopy coverage, more than 20 cm of diameter, and a lower height. Meanwhile, the other three landward zones were dominated by type C. tagal with more than 80% of canopy coverage and higher sapling density. Based on the MHI value, mangrove in Middleburg-Miossu island was categorized into moderate ranging from 38.7 to 60.7%. Based on AIC analysis, a combination of NBR, GCI, SIPI, and ARVI vegetation indexes showed the highest regression coefficient, R2-adjusted, for predicting MHI, which was 0.831. Interpolation of the predicted MHI value from the best model showed that 6.56 ha mangroves at the research site or 40.74% were in the healthy condition.

Downloads

Download data is not yet available.

References

Atwood, T.B., R.M. Connolly, H. Almahasheer, P.E. Carnell, C.M. Duarte, C.J.E. Lewis, X. Irigoien, J.J. Kelleway, P.S. Lavery, P.I. Macreadie, & O. Serrano. 2017. Global patterns in mangrove soil carbon stocks and losses. Nature Climate Change, 7(7): 523-528. https://doi.org/10.1038/nclimate3326

Aye, W.N., Y. Wen, K. Marin, S. Thapa, & A.W. Tun. 2019. Contribution of mangrove forest to the livelihood of local communities in Ayeyarwaddy region, Myanmar. Forests, 10(5): 414-426. https://doi.org/10.3390/f10050414

Baloloy, A.B., A.C. Blanco, R.R.C.S. Ana, & K. Nadaoka. 2020. Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping. ISPRS J. of Photogrammetry and Remote Sensing, 166: 95-117. https://doi.org/10.1016/j.isprsjprs.2020.06.001

Bao, T.Q. 2011. Effect of mangrove forest structures on wave attenuation in coastal Vietnam. Oceanologia, 53(3): 807-818. https://doi.org/10.5697/oc.53-3.807

Benzeev, R., N. Hutchinson, & D.A. Friess. 2017. Quantifying fisheries ecosystem services of mangroves and tropical artificial urban shorelines. Hydrobiologia, 803(1): 225-237. https://doi.org/10.1007/s10750-017-3299-8

Carugati, L., B. Gatto, E. Rastelli, M.L. Martire, C. Coral, S. Greco, & R. Danovaro. 2018. Impact of mangrove forests degradation on biodiversity and ecosystem functioning. Scientific reports, 8(1): 1-11. https://doi.org/10.1038/s41598-018-31683-0

Chaube, N.R., N. Lele, A. Misra, T.V.R. Murthy, S. Manna, S. Hazra, M. Panda, & R.N. Samal. 2019. Mangrove species discrimination and health assessment using AVIRIS-NG hyperspectral data. Current Sciences, 116: 1136-1142. https://doi.org/10.18520/cs/v116/i7/1136-1142

Chougule, V.A. & J.B. Sapkale. 2020. Detecting changes and health status of mangrove forest in Achara estuary, Maraharashtra using remote sensing and GIS. Sustainability, Agri, Food and Environmental Research, 8(3): 212-221. https://doi.org/10.7770/safer-V0N0-art2093

Dharmawan, I.W.E. & A. Widyastuti. 2017. Pristine mangrove community in Wondama gulf, West Papua, Indonesia. Marine Research in Indonesia, 42(2): 73-82. https://doi.org/10.14203/mri.v42i2.175

Dharmawan, I.W.E., R.S. Utama, Giyanto, L.P. Aji, P.C. Makatipu & A. Irawan. 2019. Monitoring kondisi kesehatan terumbu karang dan ekosistem pesisir terkait di TWP. Padaido, Biak-Numfor. COREMAP-CTI, LIPI. Jakarta. 152 hlm.

Dharmawan, I.W.E. & Pramudji. 2020. Mangrove community structure in Papuan Small Islands, Case Study in Biak Regency. Proceeding The IOP Conference Series: Earth and Environmental Science, Purwokerto, Indonesia, 21 - 23 August 2019. 1-8 pp. https://doi.org/doi:10.1088/1755-1315/550/1/012002

Dharmawan, I.W.E., Suyarso, Y.I. Ulumuddin, B. Prayudha & Pramudji. 2020a. Manual for mangrove community structure monitoring and research in Indonesia. NAS Media Pustaka. Makassar. 150 p.

Dharmawan, I.W.E., T.A. Hadi, U.Y. Arbi, P.C. Makatipu, S. Rahmawati, A. Budiyanto, A.B. Sitepu, B. Usman, P. Halang, Y. Kapitaraw, A. Sulaksmana, F.C.E. Dan & B. Otoluwa. 2020b. Monitoring kesehatan terumbu karang dan ekosistem terkait di Kabupaten Biak-Numfor. COREMAP CTI, LIPI. Jakarta. 231 p.

Du, J., M. Xie, Y. Wang, Z. Chen, W. Liu, J. Liao, & B. Chen. 2020. Connectivity of fish assemblages along the mangrove-seagrass-coral reef continuum in Wenchang, China. Acta Oceanologica Sinica, 39(8): 43-52. https://doi.org/10.1007/s13131-019-1490-7

Faridah-Hanum, I., F.M. Yusoff, A. Fitrianto, N.A. Ainuddin, S. Gandaseca, S. Zaiton, K. Norizah, S. Nurhidayu, M.K. Roslan, K.R. Hakeem, & I. Shamsuddin. 2019. Development of a comprehensive mangrove quality index (MQI) in Matang Mangrove: Assessing mangrove ecosystem health. Ecological Indicators, 102: 103-117. https://doi.org/10.1016/j.ecolind.2019.02.030

Giri, C., E. Ochieng, L.L. Tieszen, Z. Zhu, A. Singh, T. Loveland, J Masek, & N. Duke. 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

Giyanto, Mudjiono, F.D. Hukom, J. Picasouw, S. Unyang, R. Haryanto, Djuwariah, L. Tanda, A.B. Sitepu, A. Sidiq, Samsuardi, M.Y. Amrullah, Y. Zai, J. Gea, & A.P. Siregar. 2018. Monitoring kesehatan terumbu karang dan ekosistem terkait di Kabupaten Nias Utara. COREMAP-CTI, LIPI. Jakarta. 120 p.

Hilmi, E., C. Kusmana, E. Suhendang, & I. Iskandar. 2017. Correlation analysis between seawater intrusion and mangrove greenbelt. Indonesian J. of Forestry Research, 4(2): 151-168. https://doi.org/10.20886/ijfr.2017.4.2.151-168

Horstman, E.M., C.M. Dohmen-Janssen, P.M.F. Narra, N.J.F. Van den Berg, M. Siemerink, & S.J. Hulscher. 2014. Wave attenuation in mangroves: A quantitative approach to field observations. Coastal Engineering, 94: 47-62. https://doi.org/10.1016/j.coastaleng.2014.08.005

Ilman, M., P. Dargusch, & P. Dart. 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

Insani, W.O.N., W. Widayati, & S. Sawaludin. 2020. Analisis Degradasi hutan mangrove di Kecamatan Kaledupa Kabupaten Wakatobi. JAGAT, 4(1): 15-24. https://doi.org/10.5281/zenodo.3871258

Irwanto, I., S.A. Paembonan, N.P. Oka, & R.I. Maulany. 2020. Growth characteristics of the mangrove forest at the raised coral island of Marsegu, West Seram, Maluku. International J. of Innovative Science and Research Technology, 5(10): 211-219. https://ijisrt.com/assets/upload/files/IJISRT20OCT247.pdf

Jiang, Z., W. Guan, Y. Xiong, M. Li, Y. Chen, & B. Liao. 2019. Interactive effects of intertidal elevation and light level on early growth of five mangrove species under Sonneratia apetala Buch. Hamplantation canopy: Turning monocultures to mixed forests. Forests, 10(2): 83-97. https://doi.org/10.3390/f10020083

Kusmana, C., F.G. Dwiyanti, & Z. Malik. 2020. Comparison of several methods of stands inventory prior to logging towards the yield volume of mangrove forest in Bintuni Bay, West Papua Province, Indonesia. Biodiversitas J. of Biological Diversity, 21(4): 1438-1447. https://doi.org/10.13057/biodiv/d210423

Menéndez, P., I.J. Losada, S. Torres-Ortega, S. Narayan, & M.W. Beck. 2020. The global flood protection benefits of mangroves. Scientific reports, 10(1): 1-11. https://doi.org/10.1038/s41598-020-61136-6

Muhsoni, F.F., A.B. Sambah, M. Mahmudi, & D.G.R. Wiadnya. 2018. Comparison of different vegetation indices for assessing mangrove density using sentinel-2 imagery. Int. J. Geomate, 14: 42-51. https://doi.org/10.21660/2018.45.7177

Nugroho, T.S., A. Fahrudin, F. Yulianda, & D.G. Bengen. 2019. Structure and composition of riverine and fringe mangroves at Muara Kubu protected areas, West Kalimantan, Indonesia. Aquaculture, Aquarium, Conservation & Legislation, 12(1): 378-393. https://www.bioflux.com.ro/docs/2019.378-393.pdf

Nurdiansah, D. & I.W.E Dharmawan. 2018. Komunitas mangrove di wilayah pesisir Pulau Tidore dan sekitarnya. Oseanologi dan Limnologi di Indonesia, 3(1): 1-9. https://doi.org/10.14203/oldi.2018.v3i1.63

Peng, Y., J. Diao, M. Zheng, D. Guan, R. Zhang, G. Chen, & S.Y. Lee. 2016. Early growth adaptability of four mangrove species under the canopy of an introduced mangrove plantation: Implications for restoration. Forest Ecology and Management, 373: 179-188. https://doi.org/10.1016/j.foreco.2016.04.044

Prasetya, J.D. & F. Purwanti. 2017. Mangrove health index as part of sustainable management in mangrove ecosystem at Karimunjawa National Marine Park Indonesia. Advanced Science Letters, 23(4): 3277-3282. https://doi.org/10.1166/asl.2017.9155

Pribadi, R., I.W.E. Dharmawan, & A.K. Bahari. 2020. Penilaian kondisi kesehatan ekosistem mangrove di Ayau dan Ayau Kepulauan, Kabupaten Raja Ampat. Majalah Ilmiah Biologi Biosfera, 37(2): 106-111. https://doi.org/10.20884/1.mib.2020.37.2.1206

Purwanto, A.D. & E.R. Ardli. 2020. Development of a simple method for detecting mangrove using free open source software. J. Segara, 16(2): 71-82. https://doi.org/10.15578/segara.v16i2.7512

Que, V.K.S., S.Y.J. Prasetyo, & C. Fibriani. 2019. Analisis perbedaan indeks vegetasi normalized difference vegetation index (NDVI) dan normalized burn ratio (NBR) Kabupaten Pelalawan Menggunakan Citra Satelit Landsat 8. Indonesian J. of Computing and Modeling, 2(1): 1-7. https://ejournal.uksw.edu/icm/article/view/2534/1177

Rahadian, A., L.B. Prasetyo, Y. Setiawan, & K. Wikantika. 2019. A historical review of data and information of Indonesian mangroves area. Media Konservasi, 24(2): 163-178. https://doi.org/10.29244/medkon.24.2.163-178

Rahmawati, S., D. Kurniawan, R.D. Putra, I.B. Vimono, I.P. Putra, I.W.E. Dharmawan, B. Prayudha, U.Y. Arbi, U.E. Hernawan, A. Budiyanto, A. Rasyidin, M. Sinaga, & S.H.M. Nainggolan. 2019. Pemantauan kesehatan terumbu karang dan ekosistem terkait di Kabupaten Bintan. COREMAP CTI-LIPI, Jakarta. 117 hlm.

Rahmi, K.I.N. & N. Febrianti. 2020. Pemanfaatan data sentinel-2 untuk analisis indeks area terbakar (burned area). J. Pengindraan Jauh Indonesia, 2(1): 1-6. https://jurnal.mapin.or.id/index.php/jpji/article/view/21/15

Razali, S.M., A.A. Nuruddin, & M. Lion. 2019. Mangrove vegetation health assessment based on remote sensing indices for Tanjung Piai, Malay Peninsular. J. of Landscape Ecology, 12(2): 26-40. https://doi.org/10.2478/jlecol-2019-0008

Richards, D.R. & D.A. Friess. 2016. Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012. Proceedings of the National Academy of Sciences, 113(2): 344-349. https://doi.org/10.1073/pnas.1510272113

Rizal, A., A. Sahidin, & H. Herawati. 2018. Economic value estimation of mangrove ecosystems in Indonesia. Biodiversity International J., 2(1): 98-100. https://doi.org/10.15406/bij.2018.02.00051

Sari, NWP., M. Abrar, R.M. Siringoringo, Nurhasim, R.D. Putra, M. Sinaga, Jumsurizal, Irawan, F. Lestari, I. Pangestyansyah, A. Rasyidin, R. Sutiyadi, O.R. Sianturi, B.Perisha. 2018. Monitoring Kesehatan Terumbu Karang dan Ekosistem Terkait di Kawasan Konservasi Perairan Nasional, Taman Wisata Perairan, Kepulauan Anambas dan Laut Sekitarnya. COREMAP-CTI, LIPI. Jakarta. 103 p.

Seary, R., T. Spencer, M. Bithell, & C. McOwen. 2020. Measuring mangrove-fishery benefits in the Peam Krasaop Fishing Community, Cambodia. Estuarine, Coastal and Shelf Science, 106918: 1-10. https://doi.org/10.1016/j.ecss.2020.106918

Siddiq, A., M. Dimyati, & A. Damayanti. 2020. Analysis of carbon stock distribution of mangrove forests in the coastal city of Benoa, Bali with combination vegetation index, and statistics approach. International J. on Advanced Science, Engineering and Information Technology, 10(6): 2386-2393. https://doi.org/10.18517/ijaseit.10.6.12991

Sippo, J.Z., C.J. Sanders, I.R. Santos, L.C. Jeffrey, M. Call, Y. Harada, K. Maguire, D. Brown, S.R. Conrad, & D.T. Maher. 2020. Coastal carbon cycle changes following mangrove loss. Limnology and Oceanography, 65(11): 2642-2656. https://doi.org/10.1002/lno.11476

Spalding, M. & C.L. Parrett. 2019. Global patterns in mangrove recreation and tourism. Marine Policy, 110: 103540-103547. https://doi.org/10.1016/j.marpol.2019.103540

Tabalessy, R. 2014. Economic value analysis of mangrove forest ecosystems in Sorong, West Papua Province. Aquatic Science & Management, 2: 39-43. https://doi.org/10.35800/jasm.0.0.2014.7305

Tinh, H.P., N.T.H. Hanh, V.V. Thanh, M.S. Tuan, P.V. Quang, S.P. Sharma, & R.A. MacKenzie. 2020. A comparison of soil carbon stocks of intact and restored mangrove forests in northern Vietnam. Forests, 11(6): 660-669. https://doi.org/10.3390/f11060660

Tomlinson, P.B., 2016. The Botany of Mangroves, Second Edition. Cambridge University Press, UK, 432 p.

Utama, R.S., H.A.W. Cappenberg, D. Anggraeni, I.N. Edrus, P. Makatipu, A. Irawan, I.W.E. Dharmawan, A. Budiyanto, A.R. Dzumalex, & A. Salatalohi. 2019. Kondisi kesehatan terumbu karang dan ekosistem terkait di Kabupaten Wakatobi, Sulawesi Tenggara. COREMAP CTI-LIPI. Jakarta. 102 hlm.

Valderrama-Landeros, L., F. Flores-de-Santiago, J.M. Kovacs, & F. Flores-Verdugo. 2018. An assessment of commonly employed satellite-based remote sensors for mapping mangrove species in Mexico using an NDVI-based classification scheme. Environmental monitoring and assessment, 190(1): 1-13. https://doi.org/10.1007/s10661-017-6399-z

Wong, P.P. 2018. Coastal protection measures–case of Small Island Developing States to address sea-level rise. Asian J. of Environment & Ecology, 6(3): 1-14. https://doi.org/10.9734/AJEE/2018/41019

Wu, C., Z. Niu, & S. Gao. 2012. The potential of the satellite-derived green chlorophyll index for estimating midday light use efficiency in maize, coniferous forest and grassland. Ecological Indicators, 14(1): 66-73. https://doi.org/10.1016/j.ecolind.2011.08.018

Xiao, H., F. Su, D. Fu, Q. Wang, & C. Huang. 2020. Coastal mangrove response to marine erosion: Evaluating the impacts of spatial distribution and vegetation growth in Bangkok Bay from 1987 to 2017. Remote Sensing, 12(2): 220-235. https://doi.org/10.3390/rs12020220

Xin, K., Q. Zhou, S.K. Arndt, & X. Yang. Invasive capacity of the mangrove Sonneratia apetala in Hainan Island, China. J. of Tropical Forest Science, 25(1): 70–78. https://www.frim.gov.my/v1/JTFSOnline/jtfs/v25n1/70-78.pdf

Zhang, Y., F.P. Liang, Y.Y.W. Li, J.W. Zhang, S.J. Zhang, H. Bai, Q. Liu, C.Y.R. Zhong, & L. Li. 2018. Allelopathic effects of leachates from two alien mangrove species, Sonneratia apetala and Laguncularia racemosa on seed germination, seedling growth and antioxidative activity of a native mangrove species Sonneratia caseolaris. Allelopathy J., 44(1): 119-130. https://doi.org/10.26651/allelo.j/2018-44-1-1158

Published
2021-04-30
How to Cite
NurdiansahD., & DharmawanI. W. E. (2021). COMMUNITY STRUCTURE AND HEALTHINESS OF MANGROVE IN MIDDLEBURG-MIOSSU ISLAND, WEST PAPUA. Jurnal Ilmu Dan Teknologi Kelautan Tropis, 13(1), 81-96. https://doi.org/10.29244/jitkt.v13i1.34484