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Kajian Hubungan Allometrik dan Biomassa Lamun Thalassia hemprichii sebagai Bioindikator Lingkungan

  • Andi Zulfikar Fakultas Ilmu Kelautan dan Perikanan, Universitas Maritim Raja Ali Haji Tanjungpinang, Jl. Politeknik Senggarang, Tanjungpinang 29100
  • Mennofatria Boer Departemen Manajemen dan Sumberdaya Perairan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680
  • Luky Adrianto Departemen Manajemen dan Sumberdaya Perairan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680
  • Reny Puspasari Pusat Penelitian Pengelolaan Perikanan dan Konservasi Sumberdaya Ikan Jln. Pasir Putih I, Ancol Timur, Jakarta 14430

Abstract

Seagrass has long been known to be very sensitive to environmental changes, especially caused by human activities (anthropogenic disturbance) and has been used as a bioindicator for environmental condition. This research aimed to study interaction of Thalassia hemprichii measured and derived variables (metrics), at two locations i.e., inhabited island (high anthropogenic location) and uninhabited island (low anthropogenic location). Confirmative approach was conducted using a developed conceptual model based on preliminary studies, the conceptual model was analyzed in multivariate context using data from field observation. The result showed that Thalassia hemprichii dominated and have higher above ground biomass value in inhabited area which indicated high nutrient input, meanwhile uninhabited area showed a higher below ground biomass value. Above ground of Thalassia hemprichii that have direct effect on its biomass and below ground metrics was leaf width, meanwhile leaf length of Thalassia hemprichii have indirect effect on its biomass and below ground metrics. The result also indicated some different metric covariations which were influenced by the degree of Thalassia hemprichii density. Leaf length, leaf width, density, and percent cover of Thalassia hemprichii potentially could be used as components in multimetric index and bioindicator for environmental quality.

 

Keywords: anthropogenic disturbance, path analysis, structural equation modeling, Thalassia hemprichii

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References

Agawin NSR, Duarte CM, Fortes MD.1996. Nutrient limitation of Philippine seagrasses (Cape Bolinao, NW Philippines): in situ experimental evidence. Marine Ecology Progress Series. 138: 233-243. https://doi.org/10.3354/meps138233

Ali MS, He J, Goh PLB, Sin MT. 2018. Environmental correlates of Thalassia hemprichii status descriptors: an evaluation of tools for diagnostic monitoring. Botanica Marina. 61: 3 https://doi.org/10.1515/bot-2017-0083

Angelina I, Sartimbul A, Wahyudi J. 2019. The potential of seagrass beds on the coast of Putri Menjangan as a carbon sequestration ecosystem on Bali Island. IOP Conf. Series: Earth and Environmental Science. 241: 012010. https://doi.org/10.1088/1755-1315/241/1/012010

Armitage AR, Fourqurean JW.2016. Carbon storage in seagrass soils: long-term nutrient history exceeds the effects of near-term nutrient enrichment. Biogeosciences. 13: 313-321. https://doi.org/10.5194/bg-13-313-2016

Baddeley A, Rubak E, Turner R. 2015 Spatial Point Patterns: Methodology and Applications with R. London (EN): Chapman and Hall/CRC Press. https://doi.org/10.1201/b19708

Buia MC, Gambi MC, Dappiano M. 2004. Seagrass System. Biologia Marina Mediterrania. 11: 133-183.

Burkholder JM, Tomasko DA, Touchette BW. 2007. Seagrasses and eutrophication. Journal of Experimental Marine Biology and Ecology. 350: 46-72. https://doi.org/10.1016/j.jembe.2007.06.024

Cabaço S, Santos R, Duarte CM. 2008. The impact of sediment burial and erosion on seagrasses: A review. Estuarine, Coastal, and Shelf Science. 79: 354-366. https://doi.org/10.1016/j.ecss.2008.04.021

Christon, Djunaedi OS, Purba NP. 2012. Pengaruh Tinggi Pasang Surut Terhadap Pertumbuhan dan Biomass Daun Lamun Enhalus acoroides di Pulau Pari Kepulauan Seribu Jakarta. Jurnal Perikan dan Kelautan. 3: 287-294.

Congdon VM, Wilson SS, Dunton KH. 2017. Evaluation of Relationships Between Cover Estimates and Biomass in Subtropical Seagrass Meadows and Application to Landscape Estimates of Carbon Storage. Southeastern Geographer. 57(3): 231- 245. https://doi.org/10.1353/sgo.2017.0023

Duarte CM. 1991. Allometric Scaling of Seagrass Form and Productivity. Marine Ecology Progress Series. 77: 289-300. https://doi.org/10.3354/meps 077289

El Shaffai A. 2016. Field Guide to Seagrasses of the Red Sea. Second Edition.56 pp. Gland (CH) : IUCN

Feryatun F, Hendrarto B, Widyorini N. 2012. Kerapatan dan distribusi lamun (seagrass) berdasarkan zona kegiatan yang berbeda di perairan Pulau Pramuka, Kepulauan Seribu. Journal of management of aquatic resources. Halaman 1-7.

Fraser MW, Kendrick GA. 2017. Belowground stressors and long-term seagrass declines in a historically degraded seagrass ecosystem after improved water quality. Scientific Reports. 7: 14469. https://doi.org/10.1038/s41598-017-14044-1

Jones BL, Unsworth RKF. 2016. The perilous state of seagrass in the British Isles. Royal Society Open Science. 3: 150596. https://doi.org/10.1098/rsos.150596

Hogarth PJ. 2015. The Biology of Mangroves and Seagrasses.Third Edition. Oxford (EN): Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198716549.001.0001

Korkmaz S, Goksuluk D, Zararsiz G. 2014. MVN: An R Package for Assessing Multivariate Normality. The R Journal. 6(2): 151-162. https://doi.org/10.32614/RJ-2014-031

Lefcheck JS. 2016. piecewiseSEM: piecewise structural equation modelling in r for ecology, evolution, and systematics. Methods in Ecology and Evolution. 7: 573–579. https://doi.org/10.1111/2041-210X.12512

Lyons M, Roelfselma C, Covacs E, Samper-Villareal J, Saunders M., Maxwell P, Phinn S. 2015. Rapid monitoring of seagrass biomass using a simple linear modelling approach, in the field and from space. Marine Ecology Progress Series. 530: 1–14. https://doi.org/10.3354/meps11321

Marbà N, Krause-Jensen D, Alcoverro T, Birk S, Pedersen A, Neto JS, Orfanidis S, Garmendia JM, Muxika I, Borja A, Dencheva K, Duarte CM. 2013. Diversity of European seagrass indicators: patterns within and across regions. Hydrobiologia.704: 265-278. https://doi.org/10.1007/s10750-012-1403-7

Mattjik AA, Sumertajaya IM. 2011. Sidik Peubah Ganda. Bogor (ID): IPB Press.

Pinheiro JC, Bates DM. 2000. Mixed-effects models in S and S-plus. New York (US): Springer.

R Core Team. 2019. Perangkat lunak yang saya gunakan, yang saya tahu seperti ini sitasinya. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Tersedia pada https://www.R-project.org/.

Roca G, Alcoverro T, Krause-Jensen D, Balsby TJS, van Katwijk MM, Marbà N, Santos R, Arthur R, Mascaró O, Fernández-Torquemada Y, Pérez M, Duarte CM, Romero J. 2016. Response of seagrass indicators to shifts in environmental stressors: a global review and management synthesis. Ecological Indicator. 63: 310-323. https://doi.org/10.1016/j.ecolind.2015.12.007

Samper-Villarreal J. 2016. Seagrass morphometrics at species level in Moreton Bay, Australia from 2012 to 2013. Scientific Data. 4:170060. https://doi.org/10.1038/sdata.2017.60

Setyawan E, Yusri S, Timotius S. 2011. Terumbu Karang Jakarta: Laporan Pengamatan Jangka Panjang Terumbu Karang Kepulauan Seribu (2005-2009). Yayasan Terumbu Karang Indonesia. 110 p.

Shipley B. 2009. Confirmatory path analysis in a generalized multilevel context. Ecology. 90: 363-368. https://doi.org/10.1890/08-1034.1

Van Tussenbroek BI, Vonk JA, Stapel J, Erftemijer PLA, Middelburg JJ, Zieman JC. 2006.The biology of Thalassia: Paradigms and recent advances in research. In: Larkum AWD, Orth RJ, Duarte CM. Eds. Seagrasses: Biology, Ecology and Conservation. Netherlands (NL): Springer. pp. 227–254.

Vonk JA, Christianen MJA, Stapel J, O’Brien KR. 2015. What lies beneath: Why knowledge of belowground biomassdynamics is crucial to effective seagrass management. Ecological Indicators. 57: 259-267. https://doi.org/10.1016/j.ecolind.2015.05.008

Wahab I, Madduppa H, Kawaroe M. 2017. Seagrass species distribution, density and coverage at Panggang Island, Jakarta. IOP Conference Series: Earth and Environmental Science. 54 012084. https://doi.org/10.1088/1755-1315/54/1/012084

Published
2020-07-29
How to Cite
Zulfikar, A., Boer, M., Adrianto, L., & Puspasari, R. (2020). Kajian Hubungan Allometrik dan Biomassa Lamun Thalassia hemprichii sebagai Bioindikator Lingkungan. Jurnal Ilmu Pertanian Indonesia, 25(3), 356-364. https://doi.org/10.18343/jipi.25.3.356