Optimization of Coral Video Transect Technique for Coral Reef Survey: Comparison with Intercept Transect Technique


Variety in video sampling protocol for coral reef survey worldwide has prompted this study to create an optimized protocol for Coral Video Transect (CVT) technique for coral reef survey in Malaysia. The effect of different vertical distance of the camera above the substrate during video recording, number of frames and points analyzed as well as time spent during field and analysis were examined to determine an optimal protocol for CVT technique at different coral reef conditions in Malaysia’s water. Video recording taken at 0.5 m camera distance was selected as optimize vertical distance above the substrate as it can identify more benthic categories than 1.0 m with lesser time taken as well as frames extracted than 0.2 m. Respectively, 80% of total frames extracted from 20 m transect and analyzed with 50 points per frames were chosen as an optimized sample size for its ability to precisely estimate percent cover and accurately identify benthic categories. This optimized protocol was then compared with Line Intercept Transect (LIT) method. No clear difference in estimating percentage cover of major benthic categories between CVT and LIT method, but CVT recorded a significantly higher number of benthic categories with lesser time spent during field survey as compared to LIT method. This implied that the optimize CVT method can precisely estimate percent cover and accurately identify benthic categories in coral communities and are thus more suitable for scientific research and management purposes than LIT method. Other advantages of using this technique are by providing a permanent data that can be reassessed later on, lesser field time and wider survey area. Overall, this study showed that CVT technique is an acceptable alternative method of coral reef survey in Malaysia.

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Safuan, M. , Boo, W. , Siang, H. , Chark, L. and Bachok, Z. (2015) Optimization of Coral Video Transect Technique for Coral Reef Survey: Comparison with Intercept Transect Technique. Open Journal of Marine Science, 5, 379-397. doi: 10.4236/ojms.2015.54031.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Alquezar, R. and Boyd, W. (2007) Development of Rapid, Cost Effective Coral Survey Technique: Tools for Management and Conservation Planning. Journal of Coastal Conservation, 11, 105-119.
[2] Obura, D.O. and Grimsdith, G. (2009) Resilience Assessment of Coral Reefs—Assessment Protocol for Coral Reefs, Focusing on Coral Bleaching and Thermal Stress. International Union for the Conservation of Nature and Natural Resources, 70.
[3] Rogers, C.S. and Miller, J. (2001) Coral Bleaching, Hurricane Damage, and Benthic Cover on Coral Reefs in St. John, U.S. Virgin Islands?: A Comparison of Surveys with the Chain Transect Method and Videography. Bulletin of Marine Science, 69, 459-470.
[4] Hawkin, J.P. and Robert, C.M. (1993) Effect of Recreational Scuba Diving on Coral Reefs: Trampling on Reef-Flat Communities. Journal of Applied Ecology, 30, 23-30. http://dx.doi.org/10.2307/2404267
[5] Hogson, G. (1999) A Global Assessment of Human Effects on Coral Reefs. Marine Pollution Bulletin, 38, 345-355. http://dx.doi.org/10.1016/S0025-326X(99)00002-8
[6] Praveena, S.M., Siraj, S.S. and Aris, A.Z. (2012) Coral Reefs Studies and Threats in Malaysia: A Mini Review. Review Environment Science Biotechnology, 11, 27-39.
[7] English, S., Wilkinson, C. and Baker, V. (1994) Survey Manual for Tropical Marine Resources. Australian Institute of Marine Science, Townville, 34-49.
[8] Hill, J. and Wilkinson, C. (2004) Methods for Ecological Monitoring of Coral Reefs. Australian Institute of Marine Science, Townville, 117.
[9] Lam, K., Shin, P.K.S., Bradbeer, R., Randall, D., Ku, K.K.K., Hodgson, P. and Cheung, S.G. (2006) A Comparison of Video and Point Intercept Transect Methods for Monitoring Subtropical Coral Communities. Journal of Experimental Marine Biology and Ecology, 333, 115-128.
[10] Nadon, M.O. and Stirling, G. (2006) Field and Simulation Analyses of Visual Methods for Sampling Coral Cover. Coral Reefs, 25, 177-185. http://dx.doi.org/10.1007/s00338-005-0074-5
[11] Nakajima, R., Nakayama, A., Yoshida, T., Rajuddin, M. and Kushairi, M. (2010) An Evaluation of Photo Line-Intercept Transect (PLIT) Method for Coral Reef Monitoring. Galaxea, Journal of Coral Reef Studies, 12, 37-44. http://dx.doi.org/10.3755/galaxea.12.37
[12] Liew, H.C., Hii, Y.S., Bachok, Z., Ibrahim, K., Wagiman, S., Chan, A.A. and Said, A. (2012) A Guide to Collecting Digital Videos for Coral Reef Surveys and Monitoring Purposes. Department of Marine Parks Malaysia, Putrajaya, 28.
[13] Dumas, P., Bertaud, A., Peignon, C., Léopold, M. and Pelletier, D. (2009) A “Quick and Clean” Photographic Method for the Description of Coral Reef Habitats. Journal of Experimental Marine Biology and Ecology, 368, 161-168. http://dx.doi.org/10.1016/j.jembe.2008.10.002
[14] Aronson, R.B., Edminds, P.J., Precht, W.F., Swanson, D.W. and Levitan, D.R. (1994) Large-Scale, Long-Term Monitoring of Caribbean Coral Reefs: Simple, Quick, Inexpensive Techniques. Atoll Research Bulletin, No. 421, 1-19. http://dx.doi.org/10.5479/si.00775630.421.1
[15] Carleton, J.H. and Done, T.J. (1995) Quantitative Video Sampling of Coral Reef Benthos: Large-Scale Application. Coral Reefs, 14, 35-46. http://dx.doi.org/10.1007/BF00304070
[16] Reef Check Malaysia (2009) Status of Coral Reefs in Malaysia. Reef Check Malaysia Bhd, Kuala Lumpur, 43.
[17] Brown, E., Cox, E., Jokiel, P., Rodgers, K., Smith, W., Tissot, B., Coles, S.L. and Hultquist, J. (2004) Development of Benthic Sampling Methods for the Coral Reef Assessment and Monitoring Program (CRAMP) in Hawai’i. Pacific Science, 58, 145-158. http://dx.doi.org/10.1353/psc.2004.0013
[18] Abdo, D., Burgess, S., Coleman, G. and Osborne, K. (2004) Surveys of Benthic Reef Communities Using Underwater Video. Australian Institute of Marine Science, Townville, 32.
[19] Houk, P. and Woesik, R.V. (2006) Coral Reef Benthic Video Surveys Facilitate Long-Term Monitoring in the Commonwealth of the Northern Mariana Islands: Toward an Optimal Sampling Strategy. Pacific Science, 60, 177-189. http://dx.doi.org/10.1353/psc.2006.0005
[20] Chou, L.M., Wilkinson, C.R. and Suraphol, S. (1994) Status of Coral Reefs in the ASEAN Region. Proceedings of the 3rd ASEAN-Australia Symposium on Living Coastal Resources, Vol. 1: Status Reviews, Australian Institute of Marine Science, Townville.
[21] Kohler, K.E. and Gill, S.M. (2006) Coral Point Count with Excel Extensions (CPCe): A Visual Basic Program for the Determination of Coral and Substrate Coverage Using Random Point Count Methodology. Computers & Geosciences, 32, 1259-1269. http://dx.doi.org/10.1016/j.cageo.2005.11.009
[22] Veron, J.E.N. (1982) Corals of Australia and the Indo Pacific. Australian Institute of Marine Science, Townville, 644.
[23] Veron, J.E.N. (2000) Corals of the World. Vol. 1-3, Australian Institute of Marine Science, Townville, 1382.
[24] Department of Marine Park Malaysia (2011) Handbook on the Living Marine Resources of Malaysia Marine Park. Ministry of Natural Resources and Environment, Putrajaya, 123.
[25] Ismail, A. (1995) Rumpai Laut Malaysia. Dewan Bahasa dan Pustaka, Kuala Lumpur, 277 p.
[26] Bros, W.E. and Cowell, B.C. (1987) A Technique for Optimising Sample Size Replication. Journal of Experimental Marine Biology and Ecology, 114, 63-71. http://dx.doi.org/10.1016/0022-0981(87)90140-7
[27] Zar, J.H. (1999) Biostatistical Analysis. Prentice Hall, Upper Saddle River.
[28] Leujak, W. and Ormond, R.F.G. (2007) Comparative Accuracy and Efficiency of Six Coral Community Survey Methods. Journal of Experimental Marine Biology and Ecology, 351, 168-187.
[29] Jokiel, P.L., Rodgers, K.S., Brown, E.K., Kenyon, J.C., Aeby, G., Smith, W.R. and Farrell, F. (2005) Comparison of Methods Used to Estimate Coral Cover in the Hawaiian Islands. Hawai’i Coral Reef Assessment and Monitoring Program (CRAMP), Hawai’i Institute of Marine Biology, Hawai’i, 22.
[30] Pante, E. and Dustan, P. (2012) Getting to the Point: Accuracy of Point Count in Monitoring Ecosystem Change. Journal of Marine Biology, 2012, Article ID: 802875. http://dx.doi.org/10.1155/2012/802875

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