Correlation between water quality and seagrass distribution along intertidal zone in Sarangani Province, Philippines

Paper Details

Research Paper 01/05/2016
Views (855)
current_issue_feature_image
publication_file

Correlation between water quality and seagrass distribution along intertidal zone in Sarangani Province, Philippines

Nidelli S. Vinson, Shennie C. Ante, Rizza Jean Faith S. Roxas, Shienna Marie C. Salvio, Shiphrah Lois C. Rabe, Mark Anthony J. Torres, Maria Luisa N. Cabrera, Elani A. Requieron
J. Biodiv. & Environ. Sci. 8(5), 30-35, May 2016.
Copyright Statement: Copyright 2016; The Author(s).
License: CC BY-NC 4.0

Abstract

This study aimed to determine the correlation between certain properties of water quality and the distribution of seagrasses in the coastal areas of Glan and Maasim, Sarangani Province. Both sites have no previous correlation studies. At each site, three 50m transects were laid perpendicular to the shore with each transect having 11 quadrats at 5m intervals. Six species of seagrass were identified throughout the study. The most dominant species in Glan was Halodule pinifolia while in Maasim, the most dominant was Enhalus acoroides. Water samples were taken in each quadrat using vials. Salinity was measured using Atago refractometer. Temperature and pH were simultaneously measured using a HM Digital pH meter. Turbidity was observed visually. Correlation was analyzed using the statistic tool Pearson’s correlation through PAST software. The correlation analysis in Glan yielded a negative correlation of -0.99915 between salinity and seagrass distribution, implying an unhealthy fluctuation of salinity in the area which can harm seagrass. pH resulted in 0.99916 and temperature in 0.76758. In Maasim, the analysis yielded positive correlations in all physicochemical properties. 0.4342 for pH, 0.4342 for temperature, and 0.93193 for salinity. Overall, the results indicate generally healthy seagrass beds which means they are in a generally healthy marine environment. Researchers strongly recommend a more extensive study on the correlation of physicochemical properties with seagrasses along Sarangani Bay.

Ahmad-Kamil EI, Ramli R, Jaaman SA, Bali J, Al-Obaidi JR. 2013. The Effects of Water Parameters on Monthly Seagrass Percentage Cover in Lawas, East Malaysia. The Scientific World Journal, vol. 2013, Article ID 892746, 8 pages, 2013. http://dx.doi.org/10.1155/2013/892746

Alima J, Arellano BJ, Menguita K, Omar M, Panolino C, Par L, Pilar TJ, Pundug NA, Suarez GJ, Jumawan J. 2014. Comparative diversity analysis and species composition of seagrasses and macroalgae along the intertidal zone of Sarangani Province, Philippines. Journal of Biodiversity and Environmental Sciences (JBES) 5(4), 356‐364.

de Jesus EA, DiamanteFabunan DAD, Nañola C, White AT, Cabangon HJ. 2001. Coastal Environmental  Profile  of  the  Sarangani  Bay  Area, Mindanao, Philippines. Coastal Resource Management Project, Cebu City, Philippines, 102 p.

Fortes M. 1990. Seagrasses: A Resource Unknown in the ASEAN Region. Volume 5 of ICLARM Technical Reports. ICLARM education series. WorldFish. ISBN: 9711022516, 9789711022518

Green EP, Short FT. 2010. World Atlas of Seagrasses. Prepared by the UIMEP World Conservation Monitoring Centre. University of California Press, Berkeley, USA.

McKenzie L. 2007. Seagrass-Watch: Guidelines for Philippine Participants. Proceedings of a training workshop, Bolinao Marine Laboratory, University of the Philippines, 9th – 10th April 2007 (DPI&F, Cairns). 36p.

Short F, Carruthers T, Dennison W,  Waycott M. 2007. Global seagrass distribution and diversity: A bioregional model. Journal of Experimental Marine Biology and Ecology, 350. http://dx.doi.org/10.1016/j.jembe.2007.06.012

Thomas LP, Moore DR, Work RC. 1961. Effects of Hurricane Donna on the turtle grass beds of Biscayne Bay, Florida. Bulletin of Marine Science 11 (2), 191-197.

Related Articles

Agroforestry in woody-encroached Sub-Saharan savannas: Transforming ecological challenges into sustainable opportunities

Yao Anicet Gervais Kouamé, Pabo Quévin Oula, Kouamé Fulgence Koffi, Ollo Sib, Adama Bakayoko, Karidia Traoré, J. Biodiv. & Environ. Sci. 27(3), 10-22, September 2025.

Extreme rainfall variability and trends in the district of Ouedeme, municipality of Glazoue (Benin)

Koumassi Dègla Hervé, J. Biodiv. & Environ. Sci. 27(3), 1-9, September 2025.

Heterosis breeding, general and specific combining ability and stability studies in pearl millet: Current trends

Ram Avtar, Krishan Pal, Kavita Rani, Rohit Kumar Tiwari, Mahendra Kumar Yadav, J. Biodiv. & Environ. Sci. 27(2), 117-124, August 2025.

Combining ability, heterosis and stability for yield and fibre quality traits in cotton: Breeding approaches and future prospects

Rohit Kumar Tiwari, Krishan Pal, R. P. Saharan, Ram Avtar, Mahendra Kumar Yadav, J. Biodiv. & Environ. Sci. 27(2), 109-116, August 2025.

Bridging the COPD awareness gap in marginalized populations: Findings from a multicentre study in Khalilabad, Sant Kabir Nagar, Uttar Pradesh, India

Anupam Pati Tripathi, Jigyasa Pandey, Sakshi Singh, Smita Pathak, Dinesh Chaudhary, Alfiya Mashii, Farheen Fatima, J. Biodiv. & Environ. Sci. 27(2), 97-108, August 2025.

Antioxidant and anti-inflammatory activity of Pleurotus citrinopileatus Singer and Pleurotus sajor-caju (Fr.) Singer

P. Maheswari, P. Madhanraj, V. Ambikapathy, P. Prakash, A. Panneerselvam, J. Biodiv. & Environ. Sci. 27(2), 90-96, August 2025.

Mangrove abundance, diversity, and productivity in effluent-rich estuarine portion of Butuanon River, Mandaue City, Cebu

John Michael B. Genterolizo, Miguelito A. Ruelan, Laarlyn N. Abalos, Kathleen Kay M. Buendia, J. Biodiv. & Environ. Sci. 27(2), 77-89, August 2025.

Cytogenetic and pathological investigations in maize × teosinte hybrids: Chromosome behaviour, spore identification, and inheritance of maydis leaf blight resistance

Krishan Pal, Ravi Kishan Soni, Devraj, Rohit Kumar Tiwari, Ram Avtar, J. Biodiv. & Environ. Sci. 27(2), 70-76, August 2025.