Carbon biomass, carbon-to-chlorophyll a ratios and growth rates of phytoplankton in Jiaozhou Bay, China

2021 ◽  
Author(s):  
Shujin Guo ◽  
Xiaoxia Sun
Keyword(s):  
Chlorophyll A ◽  
Growth Rates ◽  
Water Samples ◽  
Jiaozhou Bay ◽  
Phytoplankton Growth ◽  
Biomass Carbon ◽  
Carbon Biomass ◽  
Four Seasons ◽  
Carbon Based ◽  
Phytoplankton Cells

<p>Carbon biomass, carbon-to-chlorophyll a ratio (C:Chl a) values and growth rates of phytoplankton cells were studied during four seasonal cruises in 2017 and 2018 in Jiaozhou Bay, China. Water samples were collected from twelve stations, and phytoplankton carbon biomass (phyto-C) was estimated from microscope-measured cell volumes. Phyto-C ranged from 5.05 to 78.52 μg C/L (mean 28.80 μg C/L) in the bay, and it constituted a mean of 38.16% of the total particulate organic carbon in the bay. High phyto-C values always appeared in the northern or northeastern bay. Diatom carbon was predominant during all four cruises. Dinoflagellate carbon contributed much less (<30%) to the total phyto-C, and high values always appeared in the outer bay. The C:Chl a of phytoplankton cells varied from 11.50 to 61.45 (mean 31.66), and high values appeared in the outer bay during all four seasons. The phyto-C was also used to calculate the intrinsic growth rates of phytoplankton cells in the bay, and phytoplankton growth rates ranged from 0.56 to 1.96 day<sup>-1</sup>; the rate was highest in summer (mean 1.79 day<sup>-1</sup>), followed by that in fall (mean 1.24 day<sup>-1</sup>) and spring (mean 1.17 day<sup>-1</sup>), and the rate was lowest in winter (mean 0.77 day<sup>-1</sup>). Temperature and silicate concentration were found to be the determining factors of phytoplankton growth rates in the bay. To our knowledge, this study is the first report on phytoplankton carbon biomass and C:Chl a based on water samples in Jiaozhou Bay, and it will provide useful information for studies on carbon-based food web calculations and carbon-based ecosystem models in the bay.</p>

scholarly journals Temperature Dependence of Freshwater Phytoplankton Growth Rates and Zooplankton Grazing Rates

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1591
Author(s):  
Jennifer Pulsifer ◽  
Edward Laws
Keyword(s):  
Temperature Dependence ◽  
Chlorophyll A ◽  
Growth Rates ◽  
Eutrophic Lake ◽  
Phytoplankton Growth ◽  
Type I ◽  
Zooplankton Grazing ◽  
Temperature Range ◽  
Freshwater Phytoplankton ◽  
Louisiana State University

Phytoplankton growth rates and zooplankton grazing rates were estimated on 16 occasions over a period of 17 months in University Lake, a highly eutrophic lake on the campus of Louisiana State University. Phytoplankton growth rates and chlorophyll a concentrations averaged 1.0 ± 0.2 d−1 and 240 ± 120 mg m−3, respectively. Chlorophyll a concentrations were at or above the inflection point of the Holling type I curve that described the relationship between zooplankton grazing rates and chlorophyll a concentrations. In most cases, it was necessary to dilute lake water by more than a factor of 4 before zooplankton grazing rates became sensitive to chlorophyll a concentrations. Chlorophyll a concentrations were positively correlated with temperature and were roughly fourfold higher at 30 °C than at 15 °C. An analysis of the temperature dependence of the growth rates and grazing rates in this study and 87 other paired estimates of limnetic phytoplankton growth rates and zooplankton grazing rates revealed virtually identical temperature dependences of growth rates and grazing rates that were very similar to the temperature dependence predicted by the metabolic theory of ecology. Phytoplankton growth rates exceeded zooplankton grazing rates by 0.13 ± 0.05 d−1 at all temperatures over a temperature range of 8.5–31.5 °C. The Q10 for both phytoplankton growth rates and zooplankton grazing rates was 1.5 over that temperature range.

A new method for estimating phytoplankton growth rates and carbon biomass

1981 ◽  
Vol 62 (1) ◽  
pp. 73-79 ◽  
Author(s):  
D. G. Redalje ◽  
E. A. Laws
Keyword(s):  
Growth Rates ◽  
Phytoplankton Growth ◽  
New Method ◽  
Carbon Biomass

Analysis of within- and between-day chlorophyll-a dynamics in Mantua Superior Lake, with a continuous spectroradiometric measurement

2013 ◽  
Vol 64 (4) ◽  
pp. 303 ◽  
Author(s):  
M. Bresciani ◽  
M. Rossini ◽  
G. Morabito ◽  
E. Matta ◽  
M. Pinardi ◽  
...  
Keyword(s):  
Chlorophyll A ◽  
Continuous Monitoring ◽  
Phytoplankton Growth ◽  
Key Factors ◽  
Eutrophic Lakes ◽  
Chl A ◽  
Metabolic Adaptations ◽  
Horizontal Migration ◽  
Radiometric System ◽  
Growth Distribution

Eutrophic lakes display unpredictable patterns of phytoplankton growth, distribution, vertical and horizontal migration, likely depending on environmental conditions. Monitoring chlorophyll-a (Chl-a) concentration provides reliable information on the dynamics of primary producers if monitoring is conducted frequently. We present a practical approach that allows continuous monitoring of Chl-a concentration by using a radiometric system that measures optical spectral properties of water. We tested this method in a shallow, nutrient-rich lake in northern Italy, the Mantua Superior Lake, where the radiometric system collected data all throughout the day (i.e. every 5 min) for ~30 days. Here, specifically developed algorithms were used to convert water reflectance to Chl-a concentration. The best performing algorithm (R2 = 0.863) was applied to a larger dataset collected in September 2011. We characterised intra- and inter-daily Chl-a concentration dynamics and observed a high variability; during a single day, Chl-a concentration varied from 20 to 130 mg m–3. Values of Chl-a concentration were correlated with meteo-climatic parameters, showing that solar radiance and wind speed are key factors regulating the daily phytoplankton growth and dynamics. Such patterns are usually determined by vertical migration of different phytoplankton species within the water column, as well as by metabolic adaptations to changes in light conditions.

Subsampling errors in active chlorophyll a determination in water samples

1991 ◽  
Vol 33 (4) ◽  
pp. 353-370 ◽  
Author(s):  
Leo I Heileman ◽  
Aphtaab Mohammed
Keyword(s):  
Chlorophyll A ◽  
Water Samples

scholarly journals Diversity and Seasonal Impact ofAcanthamoebaSpecies in a Subtropical Rivershed

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Po-Min Kao ◽  
Ming-Yuan Chou ◽  
Chi-Wei Tao ◽  
Wen-Chien Huang ◽  
Bing-Mu Hsu ◽  
...  
Keyword(s):  
Water Samples ◽  
Enrichment Culture ◽  
Human Health Risk ◽  
Culture Method ◽  
Acanthamoeba Keratitis ◽  
Four Seasons ◽  
Seasonal Impact ◽  
Subtropical Monsoon Climate ◽  
The Relationship ◽  
Risk Potential

This study evaluated the presence ofAcanthamoebaspecies in the Puzih River watershed, which features typical subtropical monsoon climate and is located just above the Tropic of Cancer in Taiwan. The relationship between the seasonal and geographical distributions ofAcanthamoebaspecies in this rivershed was also investigated.Acanthamoebaspecies were detected in water samples using the amoebal enrichment culture method and confirmed by PCR. A total of 136 water samples were included in this study, 16 (11.7%) of which containedAcanthamoebaspecies. Samples with the highest percentage ofAcanthamoeba(32.4%) were obtained during the summer season, mainly from upstream areas. The identified species in the four seasons includedAcanthamoeba palestinensis(T2),Acanthamoebasp. IS2/T4 (T4),Acanthamoeba lenticulata(T5),Acanthamoeba hatchetti(T11),Acanthamoeba healyi(T12), andAcanthamoeba jacobsi(T15). The most frequently identifiedAcanthamoebagenotype was T4 (68.7%).Acanthamoebagenotype T4 is responsible forAcanthamoeba keratitisand should be considered for associated human health risk potential in the rivershed.

Seasonal variation of microplastics in seawater and zooplankton in Jiaozhou Bay, the Yellow Sea

2020 ◽  
Author(s):  
Xiaoxia Sun
Keyword(s):  
Seasonal Variation ◽  
Chemical Composition ◽  
Surface Water ◽  
Yellow Sea ◽  
Jiaozhou Bay ◽  
Coastal Areas ◽  
Average Concentration ◽  
The Yellow Sea ◽  
Plastic Pollution ◽  
Four Seasons

<p>Plastic pollution is a globally concerning issue in marine environments. There is currently little research about the seasonal changes in microplastics in coastal areas. Here, we report a seasonal study on the concentrations and characteristics of microplastics in the surface seawater and zooplankton of Jiaozhou Bay, a typical bay in the west Yellow Sea. The concentrations of microplastics in the surface water of Jiaozhou Bay were 0.063, 0.174, 0.094, and 0.050 pieces/m<sup>3 </sup>in February, May, August and November, respectively, with an annual average concentration of 0.095 pieces/m<sup>3</sup>, a low value compared with the plastic concentrations of other coastal areas. The size of the collected microplastics ranged from 346 to 155200 μm, with an average of 5093 μm. The overall percentages of fibers, fragments and plastic foams were 29%, 55% and 16%, respectively. Fragments were the most dominant shape in four seasons. Nine plastic polymers were detected from the surface water of Jiaozhou Bay. The dominant chemical composition was polypropylene (PP), accounting for 51.04% of polymers, followed by polyethylene (PE), accounting for 26.04% of polymers. The seasonal variation of plastic characteristics in Jiaozhou Bay, including the shape, color and chemical composition, was significant. The highest concentration of plastics occurred in May and the lowest concentration of plastics occurred in November. Strong rainfall resulted in an increase in the plastic concentration in May, and winds and eddies affected the spatial distribution of plastics in Jiaozhou Bay. Focused on the dominant zooplankton groups in Jiaozhou Bay, the morphology, color, size, chemical composition and quantity of MPs in zooplankton were investigated in Jiaozhou Bay. The results showed that the MPs in zooplankton of the Jiaozhou Bay were dominated by fibers. The proportions of fiber in February, May, August and November were 91%, 88%, 89% and 88%, respectively. The average size of MPs in zooplankton was 441±2, 468±2, 576±2, and 379±4μm in the four seasons. For the 2 common zooplankton groups in the 4 seasons, the MP/zooplankton was 0.3, 0.26, 0.17, 0.19 for copepod, and 0.22, 0.19, 0.17, 0.45 for chaetognath, respectively.</p>

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