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

Paper Details

Research Paper 01/05/2016
Views (334) Download (25)
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. Bio. Env. Sci.8( 5), 30-35, May 2016.
Certificate: JBES 2016 [Generate Certificate]

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.

VIEWS 9

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.