Factors affecting the distribution of Pyrodinium bahamense var. bahamense in coastal waters of Florida

AbstractA coastal front was detected in the eastern Guangdong (EGD) coastal waters during a downwelling-favorable wind period by using the diffuse attenuation coefficient at 490 nm (Kd(490)). Long-term satellite data, meteorological data and hydrographic data collected from 2003 to 2017 were jointly utilized to analyze the environmental factors affecting coastal fronts. The intensities of the coastal fronts were found to be associated with the downwelling intensity. The monthly mean Kd(490) anomalies in shallow coastal waters less than 25 m deep along the EGD coast and the monthly mean Ekman pumping velocities retrieved by the ERA5 dataset were negatively correlated, with a Pearson correlation of − 0.71. The fronts started in October, became weaker and gradually disappeared after January, extending southwestward from the southeastern coast of Guangdong Province to the Wanshan Archipelago in the South China Sea (SCS). The cross-frontal differences in the mean Kd(490) values could reach 3.7 m−1. Noticeable peaks were found in the meridional distribution of the mean Kd(490) values at 22.5°N and 22.2°N and in the zonal distribution of the mean Kd(490) values at 114.7°E and 114.4°E. The peaks tended to narrow as the latitude increased. The average coastal surface currents obtained from the global Hybrid Coordinate Ocean Model (HYCOM) showed that waters with high nutrient and sediment contents in the Fujian and Zhejiang coastal areas in the southern part of the East China Sea could flow into the SCS. The directions and lengths of the fronts were found to be associated with the flow advection.

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Factors Affecting Aerial Surveys of Marine Fauna, and Their Relationship to a Census of Dugongs in the Coastal Waters of the Northern-Territory

Wildlife Research ◽

10.1071/wr9860027 ◽

1986 ◽

Vol 13 (1) ◽

pp. 27 ◽

Cited By ~ 14

Author(s):

P Bayliss

Keyword(s):

Coastal Waters ◽

Total Population ◽

Surface Condition ◽

High Tide ◽

Northern Territory ◽

Probability Of Detection ◽

Correction Factors ◽

Marine Fauna ◽

Factors Affecting ◽

Similar Range

Some factors that may affect the aerial counts of dugongs, dolphins and turtles were examined experimentally. Tidal influence did not affect the counts of dugongs or dolphins, but those of turtles increased around high tide. A combined doubling of survey altitude and transect width reduced observed density of all three classes of animals by 50%. The counts of four observers did not differ significantly, but further data counsel caution. Overcast weather depressed counts of dugongs and turtles. Dolphin counts were affected by water surface condition, counts being lowest in choppy seas. A mark-recapture model was used on tandem observations to derive correction factors for groups of animals missed on the surface of a transect. Observers missed between 33% and 75% of dugong groups on the surface, the probability of detection decreasing with increased survey altitude and transect width. A similar range and pattern of probabilities was found for dolphins and turtles. Dugongs were censused in the coastal waters of the Northern Territory between the Daly River and Millingimbi in December 1983, an area of 28 746 km*2. Sampling intensity was 7.6%. A minimum population of 2953 � 530 (standard error) was estimated, an overall relative density of 0.11 � 0.02 km-2. A theoretical correction for submerged dugongs not seen yielded a total population estimate of 38 000, an overall density of 1.46 km-2. The distribution of dugongs in the survey area was patchy, the highest densities being associated with shallow coastal waters, sheltered bays, and large islands.

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Factors affecting the accumulation of phytoplankton biomass in Irish estuaries and nearshore coastal waters: A conceptual model

Estuarine Coastal and Shelf Science ◽

10.1016/j.ecss.2015.01.007 ◽

2015 ◽

Vol 155 ◽

pp. 75-88 ◽

Cited By ~ 17

Author(s):

Shane O'Boyle ◽

Robert Wilkes ◽

Georgina McDermott ◽

Sorcha Ní Longphuirt ◽

Clare Murray

Keyword(s):

Conceptual Model ◽

Coastal Waters ◽

Phytoplankton Biomass ◽

Factors Affecting

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Environmental factors affecting anchovy reproductive potential in the southern coastal waters of Korea

Animal Cells and Systems ◽

10.1080/19768354.2013.782896 ◽

2013 ◽

Vol 17 (2) ◽

pp. 133-140 ◽

Cited By ~ 3

Author(s):

Jin Yeong Kim ◽

Sun Kil Lee ◽

Sang Su Kim ◽

Mun Seong Choi

Keyword(s):

Environmental Factors ◽

Coastal Waters ◽

Reproductive Potential ◽

Factors Affecting

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Environmental factors affecting the distribution of charophyte species in Estonian coastal waters, Baltic Sea

Proceedings of the Estonian Academy of Sciences. Biology. Ecology ◽

10.3176/biol.ecol.2004.4.03 ◽

2004 ◽

Vol 53 (4) ◽

pp. 251

Author(s):

G Martin ◽

K Torn

Keyword(s):

Environmental Factors ◽

Baltic Sea ◽

Coastal Waters ◽

Factors Affecting

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Risk Coupling Characteristics of Maritime Accidents in Chinese Inland and Coastal Waters Based on N-K Model

Journal of Marine Science and Engineering ◽

10.3390/jmse10010004 ◽

2021 ◽

Vol 10 (1) ◽

pp. 4

Author(s):

Jian Deng ◽

Shaoyong Liu ◽

Cheng Xie ◽

Kezhong Liu

Keyword(s):

Risk Factors ◽

Coastal Waters ◽

Factors Affecting ◽

Inland River ◽

Maritime Traffic ◽

Different Types ◽

Coupling Characteristics ◽

Location Type ◽

Different Characteristics ◽

Specific Degree

The causes of maritime accidents are complex, mostly due to the coupling of four types of factors: human-ship-environmental-management. To effectively analyze the causes of maritime accidents in China, and reveal the risk coupling characteristics of accidents, this paper establishes the N-K model of maritime accident, and calculates and analyzes the four types of coupling of risk factors affecting safety in maritime traffic. This paper collects 922 maritime accidents that occurred in China from 2000 to 2020, and analyzes the location, type, and level of accidents and uses the trigger principle to describe the process of accidents. For marine and inland river accidents, this paper calculates the four types of coupling values of risk factors (single-factor coupling, two-factor coupling, three-factor coupling, four-factor coupling) for comparison and analysis. In addition, this paper calculates the coupling values of six typical maritime accidents of collision, sinking, contact, fire/explosion, stranding, grounding. According to the coupling values and the frequency of sub-factors, this paper analyzes the coupling characteristics of maritime accidents. The results show that in maritime accidents, as the number of risk factors participating in the coupling increases, the coupling value increases, and the multi-factor coupling is more likely to cause accidents. The overall situation of risk coupling causes of maritime accidents is basically consistent with inland river accidents, but they have their own characteristics in the specific degree of risk coupling and the dominant risk elements. In different types of maritime accidents, the risk coupling has different characteristics, and the dominant risk factors are also different.

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Seasonal factors affecting surfactant biodegradation in Antarctic coastal waters: comparison of a polluted and pristine site

Marine Environmental Research ◽

10.1016/s0141-1136(01)00127-1 ◽

2002 ◽

Vol 53 (4) ◽

pp. 403-415 ◽

Cited By ~ 15

Author(s):

Alison L George

Keyword(s):

Coastal Waters ◽

Factors Affecting ◽

Seasonal Factors ◽

Pristine Site ◽

Surfactant Biodegradation

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Distribusi dan Kelimpahan Kista Pyrodinium bahamense di Perairan Rawan Marak Alga Berbahaya di Indonesia

Oseanologi dan Limnologi di Indonesia ◽

10.14203/oldi.2021.v6i1.337 ◽

2021 ◽

Vol 6 (1) ◽

pp. 37

Author(s):

Arief Rachman ◽

Mariana D. B. Intan ◽

Hikmah Thoha ◽

Oksto Ridho Sianturi ◽

Estelle Masseret

Keyword(s):

Coastal Waters ◽

Harmful Algal Blooms ◽

Algal Blooms ◽

Risk Level ◽

Distribution Data ◽

Toxic Dinoflagellate ◽

Literature Study ◽

Potential Source ◽

Pyrodinium Bahamense ◽

Negative Impacts

Distribution and abundance of Pyrodinium bahamense cyst in the harmful algal blooms risk waters in Indonesia. Pyrodinium bahamenseas Harmful Algal Blooms (HABs) is one of the rising environmental problems in the coastal areas of Southeast Asia, particularly in Indonesia. Cyst bank formed after the blooms of P. bahamense is a potential source for the future blooming events. Therefore, an effort to describe the distribution and abundance of P. bahamense cyst banks in Indonesian coastal waters is necessary as a part of the mitigation strategy against the negative impacts of those toxic dinoflagellate blooms. This study was done as a desk study, which included a literature study, reanalysed of previous research data, and reanalysed of preserved samples or stored raw samples. Data and samples used in this study were collected and analysed from part of past researches in Lampung Bay, Jakarta Bay, Cirebon coastal waters, and Ambon Bay. This study also included an analysis to determine the P. Bahamense HABs risk level in the studied areas based on the cyst density and distribution data. Results showed a low density of P. bahamense cyst in Lampung Bay and Jakarta Bay, with cyst density <50 cysts.g-1 wet sediment. In contrast, the bottom sediments of Ambon Bay and Cirebon coastal waters contained high cyst density, which reached >1,000 cysts.g-1 wet sediment. Based on those data, the P. Bahamense HABs risk in Jakarta Bay and Lampung Bay would be generally much lower compared to Ambon Bay and Cirebon waters. The existence of cyst banks in those coastal waters may indicate a possibility of future blooms of P. bahamense.

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