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National Committee on Marine Sciences (NCMS)

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  • Update of seagrass cover and species diversity in Southern Viet Nam using remote sensing data and molecular analyses
    Nguyen, Xuan-Vy; Lau, Va-Khin; Nguyen-Nhat, Nhu-Thuy; Nguyen, Trung-Hieu; Phan, Kim-Hoang; Dao, Viet-Ha; Ho-Dinh, Duan; Hayashizaki, Ken-ichi; Fortes, Miguel D.; Papenbrock, Jutta (Elsevier, 2021-05)
    Along with coral reefs and mangroves, seagrass meadows are being threatened globally Southeast Asia is considered within the area of seagrasses’ cradle of diversity. However, information on the current status of seagrass beds from Southern Viet Nam is limited due to lack of reliable data about seagrass species occurring in the Southeast Asian region. One factor is the difficulty of unambiguous species identification. For example, the leaf morphological characteristics of Halophila ovalis and closely related species are overlapping which leads to misidentifications. In this study, the latest satellite Landsat 8 OLI and SENTINEL-2B image analyses were applied to determine the distribution of seagrass beds in Southern Viet Nam. Detailed morphological and genetic marker analyses were used to determine and update the species composition. The present study together with literature reviews indicate that the total area of seagrass beds from Southern Viet Nam are 10,832.1 ha. 2562 ha (or 19.1%) of seagrass coverage has been lost. The seagrass beds at Phu Quoc Island are the largest with 7579 ha. The occurrence of Halophila major is updated for almost all off-shore islands and open-water areas.
    We are deeply indebted to all staff of the Department of Marine Botany, Center for Oceanographic Data, GIS and Remote Sensing, Institute of Oceanography (ION), Viet Nam, for their support, generously providing many valuable suggestions. We thank the VAST Key lab on Food and Environmental Safety (Central Viet Nam) for the ability to use their equipment. We would like to thank the three anonymous reviewers for their suggestions, comments, and editing. We also thank to JSPS Core-toCore Program CREPSUM.JPJSCCB20200009. This work was supported by Vietnam Academy of Science and Technology, grant code VAST04.01/20-21.