Priority reef areas in the Pacific coast of the Philippines for marine protected area deployment
2011
Licuanan, W.Y. | Medina, L.S., De La Salle Univ., 2401 Taft Ave., Manila 1004 (Philippines). Biology Dept. | Luzon, K.S., Philippines Univ. Diliman, Diliman, Quezon City 1101 (Philippines). Marine Science Inst. | Samson, M.S., De La Salle Univ., 2401 Taft Ave., Manila 1004 (Philippines). Biology Dept. | Nañola, C.L. Jr., Philippines Univ. Mindanao, Brgy. Mintal, Tugbok District, Davao City 8022 (Philippines). Coll. of Science and Mathematics | Rollon, R.N., Philippines Univ. Diliman, Diliman, Quezon City 1101 (Philippines). Inst. of Environmental Science and Meteorology | Roleda, M.Y., University of Otago, P.O. Box 56, Dunedin 9054 (New Zealand). Dept. of Botany
The present paper seeks to provide a scientific basis for the establishment to marine protected areas (MPA) through an integrated and objective analysis biodiversity survey data, which permits ranking of various sites in order of their importance as potential MPA. The approach proposed here involves the determination of biodiversity values for each of the four taxonomic groups (corals, reef fishes, seagrasses and seaweeds) and an assessment of the levels of risk for each of the survey sites to human degradation and natural disturbance. The biodiversity and risk scores were then combined into one MPA priority score using a conversion table. Five of the 17 geographic units (mostly small islands) stand out as high priority sites for conservation: Biri in Northern Samar, Ticao and Palaguigue Islands in Masbate, Pajada Bay, Davao Oriental, Homonhon and Suluan Islands, Eastern Samar, and Laoang, Northern Samar. The approach described here provides a framework by which an objective, repeatable prioritization of conservation value of various areas could be undertaken. Although the final measures are not absolute, it allows one to make explicit the assumptions made about the characters and measures used in prioritization and assign relative weights to various species, taxonomic groups and data sets, thereby reducing the impact of an observer's subjectivity.
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