scholarly journals Effects of Environmental Factors on Phytoplankton Communities in the Marine Ranching Ground of Tongyeong Coastal Waters, Korea

2005 ◽  
Vol 27 (1) ◽  
pp. 15-24 ◽  
Keyword(s):  
Environmental Factors ◽  
Coastal Waters ◽  
Phytoplankton Communities

scholarly journals Dynamics of the cyanobacterial water bloom with focus to Microcystis and its relationship with environmental factors in Brno reservoir

2013 ◽  
Vol 61 (5) ◽  
pp. 1383-1390
Author(s):  
Lucie Straková ◽  
Radovan Kopp ◽  
Eliška Maršálková ◽  
Blahoslav Maršálek
Keyword(s):  
Environmental Factors ◽  
Point Sources ◽  
Water Bloom ◽  
Data Set ◽  
New Information ◽  
Phytoplankton Communities ◽  
Management Effort ◽  
Phosphate Loading ◽  
Treatment Facilities

Our paper brings new information about long-term changes of the phytoplankton communities in the Brno reservoir with the focus on the Microcystis abundance using the semi-monthly monitoring data covering the period 2006–2012. The main aim is to extract from this long-term data set differences in number of Microcystis cells depending on environmental factors. The development of cyanobacteria in Brno reservoir is caused by excessive phosphate loading from wastewater treatment facilities upstream and from non–point sources along the Svratka river. It focuses management effort on upstream controls of reservoir condition. High abundance in millions of cyanobacteria cells in 1ml observed in Brno reservoir before was reduced to values in the order of thousands cells in 1ml in last two years through a combination of measures (liming, precipitation of phosphorus on inflow, aeration and destratification). Phytoplankton composition was also changed and at the expense of cyanobacteria promoted the development of green algae and diatoms.

Study on the Relationship between Population Density of Noctiluca scintillans and Environmental Factors in the Coastal Waters of Qinhuangdao

2014 ◽  
Vol 1010-1012 ◽  
pp. 635-638
Author(s):  
Yan Juan Xi ◽  
Zhen Liang Zhao ◽  
Chun Long Zhao ◽  
Yan Qin Xi ◽  
Li Yan ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Population Density ◽  
Correlation Analysis ◽  
Dissolved Oxygen ◽  
Linear Correlation ◽  
Coastal Waters ◽  
Ammonia Nitrogen ◽  
Noctiluca Scintillans ◽  
Nitrite Nitrate ◽  
The Relationship

Based on the environmental survey data in off-shore of Qin Huangdao from May to June 2011,correlation analysis was made between population density of Noctiluca scintillans and environmental factors. The results indicates that population density of Noctiluca scintillans does not exist linear correlation with nitrite, nitrate, ammonia, nitrogen, phosphate,dissolved oxygen and PH ,it is positive correlation with temperature and silicate noctiluca and negatively correlation with transparency and salinity.

Distribution of Aureococcus anophagefferens in relation to environmental factors and implications for brown tide seed sources in Qinhuangdao coastal waters, China

Harmful Algae ◽  
2020 ◽  
Vol 109 ◽  
pp. 102105
Author(s):  
Qing-Chun Zhang ◽  
Ren-Cheng Yu ◽  
Jia-Yu Zhao ◽  
Fan-Zhou Kong ◽  
Zhen-Fan Chen ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Coastal Waters ◽  
Brown Tide ◽  
Aureococcus Anophagefferens ◽  
Seed Sources

Testing mechanistic explanations of observed correlations between environmental factors and marine fisheries

2001 ◽  
Vol 58 (1) ◽  
pp. 208-219
Author(s):  
A E Gargett ◽  
M Li ◽  
R Brown
Keyword(s):  
Environmental Factors ◽  
Coastal Waters ◽  
North Pacific ◽  
Pacific Salmon ◽  
Mechanistic Explanation ◽  
Marine Fisheries ◽  
Predictive Tool ◽  
Mechanistic Explanations ◽  
The North ◽  
The North Pacific

Based on observed correlations, marine fisheries are often hypothesized to depend on environmental factors. Since correlations are unreliable as a predictive tool, it is desirable to seek mechanistic explanations for observed correlations. This paper considers methods available for testing such mechanistic explanations. As a specific example, we consider the optimal stability window, proposed as a mechanistic explanation of observed correlations between the survival of North Pacific salmon stocks and the state of the atmosphere over the North Pacific in winter, as applied to the coastal waters and fisheries of southern British Columbia, Canada.

scholarly journals Spatial and temporal trends in order richness of marine phytoplankton as a tracer for the exchange zone between coastal and open waters

2016 ◽  
Vol 97 (3) ◽  
pp. 477-489 ◽  
Author(s):  
A.S. Jung ◽  
R. Bijkerk ◽  
H.W. Van Der Veer ◽  
C.J.M. Philippart
Keyword(s):  
Particulate Matter ◽  
North Sea ◽  
Coastal Waters ◽  
Wadden Sea ◽  
Temporal Trends ◽  
Marine Phytoplankton ◽  
Environmental Drivers ◽  
Suspended Particulate ◽  
Phytoplankton Communities ◽  
Spatial And Temporal Trends

Quantifying exchange of particulate matter between coastal and open waters is an important and often unresolved issue. Here, we apply phytoplankton order richness as an innovative marine tracer to identify the geographic position of a coastal exchange zone in the SE North Sea, including its variability in time and space. Previous observations on dynamics of suspended particulate matter accumulation resulted in a hypothesized boundary between coastal waters (including the Wadden Sea) and open North Sea waters, the so-called ‘line-of-no-return’. Our study along two transects (Terschelling, Noordwijk) in the Dutch coastal zone showed seasonality patterns in phytoplankton order richness, both for diatoms and flagellates. The coastal Wadden Sea was found to be clearly different from the open North Sea, implying that seasonality in Wadden Sea phytoplankton is at least partly driven by local environmental conditions. Seasonality in flagellates was found to be more uniform than seasonality in diatoms. Stations in the coastal North Sea to a distance of 10 km (Terschelling) to 20 km (Noordwijk) from the shore appeared to be at the inside of the ‘line-of-no-return’. Our findings indicate that this approach is a useful aid in exploring mixing of particulate matter between coastal and open waters and to study the responses of phytoplankton communities to environmental drivers.

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