scholarly journals Mangrove Phenology and Environmental Drivers Derived from Remote Sensing in Southern Thailand

2019 ◽  
Vol 11 (8) ◽  
pp. 955 ◽  
Author(s):  
Veeranun Songsom ◽  
Werapong Koedsin ◽  
Raymond J. Ritchie ◽  
Alfredo Huete
Keyword(s):  
Surface Temperature ◽  
Tropical Forests ◽  
Vegetation Index ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
Andaman Sea ◽  
Environmental Drivers ◽  
Gulf Of Thailand ◽  
The Gulf Of Thailand ◽  
Study Sites

Vegetation phenology is the annual cycle timing of vegetation growth. Mangrove phenology is a vital component to assess mangrove viability and includes start of season (SOS), end of season (EOS), peak of season (POS), and length of season (LOS). Potential environmental drivers include air temperature (Ta), surface temperature (Ts), sea surface temperature (SST), rainfall, sea surface salinity (SSS), and radiation flux (Ra). The Enhanced vegetation index (EVI) was calculated from Moderate Resolution Imaging Spectroradiometer (MODIS, MOD13Q1) data over five study sites between 2003 and 2012. Four of the mangrove study sites were located on the Malay Peninsula on the Andaman Sea and one site located on the Gulf of Thailand. The goals of this study were to characterize phenology patterns across equatorial Thailand Indo-Malay mangrove forests, identify climatic and aquatic drivers of mangrove seasonality, and compare mangrove phenologies with surrounding upland tropical forests. Our results show the seasonality of mangrove growth was distinctly different from the surrounding land-based tropical forests. The mangrove growth season was approximately 8–9 months duration, starting in April to June, peaking in August to October and ending in January to February of the following year. The 10-year trend analysis revealed significant delaying trends in SOS, POS, and EOS for the Andaman Sea sites but only for EOS at the Gulf of Thailand site. The cumulative rainfall is likely to be the main factor driving later mangrove phenologies.

Ontogenetic variation in diet and habitat of Irrawaddy dolphins (Orcaella brevirostris) in the Gulf of Thailand and the Andaman Sea

2018 ◽  
Vol 35 (2) ◽  
pp. 492-521 ◽  
Author(s):  
Justine Jackson‐Ricketts ◽  
R. Iliana Ruiz‐Cooley ◽  
Chalatip Junchompoo ◽  
Surasak Thongsukdee ◽  
Atichat Intongkham ◽  
...  
Keyword(s):  
Andaman Sea ◽  
Ontogenetic Variation ◽  
Gulf Of Thailand ◽  
The Gulf Of Thailand

scholarly journals Occurrence of Trichodesmium Erythraeum (Cyanophyte) Bloom and Its Effects on the Fish Catch during April 2013, in the Andaman Sea

2015 ◽  
pp. 49-57 ◽  
Author(s):  
Arun Kumar ◽  
Gadi Padmavati ◽  
Hosahalli Pradeep
Keyword(s):  
Surface Temperature ◽  
Growth Phase ◽  
Significant Variation ◽  
Algal Bloom ◽  
Atmospheric Temperature ◽  
Sea Surface ◽  
Andaman Sea ◽  
Fish Populations ◽  
Trichodesmium Erythraeum ◽  
Fish Catch

A highly intense bloom of the nitrogen fixing Cyanobacteria Trichodesmium erythraeum(~7,000 filaments l-1) was observed during April 2013 (for a period of 5 days) in the Andaman Sea, at Lat.10°-13°N and Long. 93°-95°E.This is the first report of this bloom in the open waters of this region. Atmospheric temperature at the time ranged from 27 to 30.5 °C, sea surface temperature ranged from 29 to 34 °C, and salinity values ranged from 32.5 to 34 psu. However, there was no significant variation in pH (8.1-8.3), and DO concentrations ranged from 4.7 to 5.5 mg L-1during the studyperiod. Phosphate values ranged from 0.07 μmol L-1to 0.57 μ mol L-1, silicate values ranged from 1.7 to 2.7 μmol L-1, nitrate levels were very low (0.3-0.57 μmol L-1). At this time, the biomass of Trichodesmium erythraeum was high, indicating the bloom was in a growth phase. An upsurge in water temperature was found to explain the bloom, together with an increase in salinity. The hooking rate of fish ranged from 0 to 0.32%. However, in the study area with the highest density of the bloom, almost zero fish catch was recorded, clearly indicating the harmful impact of this algal bloom on fish populations and their distribution pattern.

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