Report of the training course on seagrass conservation and monitoring in Myanmar Coastal Zone, Mawlamyine University, Myanmar, 26 April-3 May, 2013

A training course on seagrass conservation and monitoring was conducted at Mawlamyine University and Ngapali Beach government department and Non-Government Organizations (NGO) trainees

Seagrass conservation and monitoring in Myanmar: the biodiversity, distribution and coverage of seagrasses in the Tanintharyi and Rakhine

Surveys on seagrass taxonomy, distribution and extent were carried out in 14 locations within Myeik Archipelago and along the Rakhine Coast

Fine‐scale distribution of tropical seagrass beds in Southeast Asia

Southeast Asia is a hotspot of global seagrass diversity, offering valuable ecosystem services for human life. However, historically, there have been large gaps in the scientific knowledge of the distribution of seagrass beds in this region. Information on the distribution has not been updated in global databases since the publication of the World Seagrass Atlas in 2003, which was based on data mostly obtained up until the late 1990s. We collected more recent data on seagrass bed distribution from nine ASEAN countries plus southern China and southern Japan, and integrated these data into a geographic information system (GIS)-database. A total of 1,064 polygon data and 937 points data were uploaded in this paper, which were obtained from 107 scientific articles and reports published after 2000, including those written in local languages. Among them, 7.3% of the data have associated information on seagrass bed size and 35.3% have associated information on seagrass species composition. Data obtained from Vietnam, Cambodia, Singapore, Timore-Leste and Southern China cover almost all the coastlines of each country, whereas data for the Philippines, Indonesia, Malaysia, Myanmar, Thailand still have large gaps in areal coverage. The data set has a few points from Brunei Darussalam, the Paracel Islands, Spratly Islands and Pratas Islands, which are areas that we lacked information on for a long time. The obtained data will be useful to understand the current status of seagrass beds and to help facilitate better conservation and management of coastal areas in this region. The complete data set for this abstract published in the Data Paper section of the journal is available in electronic format in MetaCat in JaLTER at

The advertisement call of Brachytarsophrys feae

Volume: 55Start Page: 251End Page: 25

Genetic species identification and population structure of Halophila (Hydrocharitaceae) from the Western Pacific to the Eastern Indian Ocean

Background: The Indo-Pacific region has the largest number of seagrass species worldwide and this region is considered as the origin of the Hydrocharitaceae. Halophila ovalis and its closely-related species belonging to the Hydrocharitaceae are well-known as a complex taxonomic challenge mainly due to their high morphological plasticity. The relationship of genetic differentiation and geographic barriers of H. ovalis radiation was not much studied in this region. Are there misidentifications between H. ovalis and its closely related species? Does any taxonomic uncertainty among different populations of H. ovalis persist? Is there any genetic differentiation among populations in the Western Pacific and the Eastern Indian Ocean, which are separated by the Thai-Malay peninsula? Genetic markers can be used to characterize and identify individuals or species and will be used to answer these questions. Results: Phylogenetic analyses of the nuclear ribosomal internal transcribed spacer region based on materials collected from 17 populations in the Western Pacific and the Eastern Indian Ocean showed that some specimens identified as H. ovalis belonged to the H. major clade, also supported by morphological data. Evolutionary divergence between the two clades is between 0.033 and 0.038, much higher than the evolutionary divergence among H. ovalis populations. Eight haplotypes were found; none of the haplotypes from the Western Pacific is found in India and vice versa. Analysis of genetic diversity based on microsatellite analysis revealed that the genetic diversity in the Western Pacific is higher than in the Eastern Indian Ocean. The unrooted neighbor-joining tree among 14 populations from the Western Pacific and the Eastern Indian Ocean showed six groups. The Mantel test results revealed a significant correlation between genetic and geographic distances among populations. Results from band-based and allele frequency-based approaches from Amplified Fragment Length Polymorphism showed that all samples collected from both sides of the Thai-Malay peninsula were clustered into two clades: Gulf of Thailand and Andaman Sea. Conclusions: Our study documented the new records of H. major for Malaysia and Myanmar. The study also revealed that the Thai-Malay peninsula is a geographic barrier between H. ovalis populations in the Western Pacific and the Eastern Indian Ocean