Abiotic and biotic controls of phytoplankton biomass dynamics in a freshwater tributary, estuary, and large lake ecosystem: Sandusky Bay (Lake Erie) chemostat

Inland Waters ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 473-492 ◽  
Author(s):  
Joseph D. Conroy ◽  
Douglas D. Kane ◽  
Erin L. Quinlan ◽  
William J. Edwards ◽  
David A. Culver
Keyword(s):  
Phytoplankton Biomass ◽  
Lake Erie ◽  
Lake Ecosystem ◽  
Large Lake ◽  
Biomass Dynamics ◽  
Biotic Controls

Relationships of Phytoplankton Biomass with Soluble Nutrients, Primary Production, and Chlorophyll a in Lake Erie, 1970

1976 ◽  
Vol 33 (3) ◽  
pp. 601-611 ◽  
Author(s):  
M. Munawar ◽  
N. M. Burns
Keyword(s):  
Primary Production ◽  
Chlorophyll A ◽  
Phytoplankton Biomass ◽  
Lake Erie ◽  
Soluble Reactive Phosphorus ◽  
Distribution Patterns ◽  
Statistical Procedure ◽  
Annual Average ◽  
Average Distribution ◽  
Reactive Phosphorus

Comparison of the annual average distribution patterns of phytoplankton biomass, chlorophyll a, primary production, soluble reactive phosphorus, nitrate + nitrite, and ammonia concentrations revealed that these six variables had very similar distributions in Lake Erie during 1970. However, statistical analysis of the data only revealed a few consistent relationships between these variables. The phytoplankton biomass was correlated with chlorophyll a only in the summer and fall as was primary production with chlorophyll a and biomass. There was no correlation between these three variables during the spring. Also, there was no consistent relationship between biomass and soluble nutrients. The primary production and activity coefficient (mg Cassimilated per milligram phytoplankton biomass per day) were found to be unrelated to temperature. The statistical procedure of factor analysis showed that in the spring, primary production correlated with the phosphorus and nitrogen soluble nutrients only, whereas during summer, primary production correlated with biomass, chlorophyll a, the major plankton groups (Cyanophyta, Chlorophyta, Chrysomonadinae, and Diatomeae), and the phosphorus nutrients. In the fall, production was positively correlated with phytoplankton biomass and with the Chlorophyta in particular. The use of chlorophyll a and temperature as variables in the equation to estimate phytoplankton growth in Lake Erie was found to be questionable.

Ecological tracers reveal resource convergence among prey fish species in a large lake ecosystem

2014 ◽  
Vol 59 (10) ◽  
pp. 2150-2161 ◽  
Author(s):  
Gord Paterson ◽  
Scott A. Rush ◽  
Michael T. Arts ◽  
Ken G. Drouillard ◽  
Gordon Doug Haffner ◽  
...  
Keyword(s):  
Fish Species ◽  
Lake Ecosystem ◽  
Large Lake ◽  
Prey Fish

Simulating the effect of nutrient reduction on hypoxia in a large lake (Lake Erie, USA-Canada) with a three-dimensional lake model

2016 ◽  
Vol 42 (6) ◽  
pp. 1228-1240 ◽  
Author(s):  
Serghei A. Bocaniov ◽  
Luis F. Leon ◽  
Yerubandi R. Rao ◽  
David J. Schwab ◽  
Donald Scavia
Keyword(s):  
Lake Erie ◽  
Three Dimensional ◽  
Large Lake ◽  
Nutrient Reduction ◽  
Lake Model

Evaluating the influence of predator–prey interactions on stock assessment and management reference points for a large lake ecosystem

2016 ◽  
Vol 73 (9) ◽  
pp. 1372-1388 ◽  
Author(s):  
Hiroyuki Kurota ◽  
Murdoch K. McAllister ◽  
Eric A. Parkinson ◽  
N.T. Johnston
Keyword(s):  
Species Interactions ◽  
Single Species ◽  
Reference Points ◽  
Management Policy ◽  
Management Approach ◽  
Lake Ecosystem ◽  
Large Lake ◽  
Ecosystem Models ◽  
Predator Prey ◽  
Results Management

Ecosystem models are thought to offer advantages over single-species models in terms of management policy analysis. This hypothesis has proven difficult to test because of underlying system complexities, coupled with short time series and minimal contrast in environmental conditions or management policies. This paper presents a Bayesian statistical catch-at-age model to compare ecosystem models and test hypotheses about the management of a recreational fishery based on a predator–prey system using a relatively simple and data-rich ecosystem in a large lake, Kootenay Lake, British Columbia, where kokanee (Oncorhynchus nerka) are the prey and piscivorous rainbow trout (Oncorhynchus mykiss) are the predator. A model that explicitly incorporates the predator–prey interaction explained long-term data of field and fishery surveys much better than single-species models without any interactions. Minimally realistic multispecies models that treated predation identically but differed in their representation of the effects of prey abundance on predator mortality produced quite different results. Management reference points, for example, differed considerably between the models. Our study thus emphasizes that the choice of a management approach for this type of fishery will depend strongly on the model form and should take into consideration results from empirically based models that include species interactions.

Equilibrium Models for Seasonal Dynamics of Plankton Biomass in Four Oligotrophy Lakes

1987 ◽  
Vol 44 (5) ◽  
pp. 1002-1017 ◽  
Author(s):  
Carl J. Walters ◽  
Edith Krause ◽  
William E. Neill ◽  
Thomas G. Northcote
Keyword(s):  
Phytoplankton Biomass ◽  
Zooplankton Biomass ◽  
Seasonal Cycles ◽  
Zooplankton Grazing ◽  
Metabolic Rates ◽  
Phytoplankton Productivity ◽  
Plankton Biomass ◽  
Recovery Times ◽  
Biomass Dynamics ◽  
Coastal British Columbia

Plankton biomass dynamics were monitored over an 11-yr period in four coastal British Columbia lakes while they were disturbed by salmonid introductions, fertilization, and zooplankton harvesting. Except for dramatic zooplankton responses to fertilization, the lakes had relatively simple and stable seasonal biomass patterns, with midsummer zooplankton peaks and no clear seasonal cycles in biomass of unicellular phytoplankton. Simple models predict that equilibrium biomasses should follow the observed pattern, provided zooplankton grazing and metabolic rates are temperature independent; experimental measurements of these rates did not show clear temperature dependence. Enclosure studies showed that phytoplankton biomass can return quickly (48 – 72 h) to equilibrium after disturbance, but zooplankton biomass responds more slowly (2- to 3-wk recovery times), yet fast enough to track a seasonally varying equilibrium. We conclude that the biomass equilibrium of unicellular phytoplankton is set by grazing and metabolic rates of zooplankton, while the zooplankton biomass equilibrium is set by phytoplankton productivity.

Re-eutrophication of Lake Erie: Correlations between tributary nutrient loads and phytoplankton biomass

2014 ◽  
Vol 40 (3) ◽  
pp. 496-501 ◽  
Author(s):  
Douglas D. Kane ◽  
Joseph D. Conroy ◽  
R. Peter Richards ◽  
David B. Baker ◽  
David A. Culver
Keyword(s):  
Phytoplankton Biomass ◽  
Lake Erie ◽  
Nutrient Loads

scholarly journals The effect of copper and manganese on phytoplankton in the Grand River (southern Ontario), Lake Erie and Pacific Ocean ecosystems

2021 ◽  
Author(s):  
Rachel Helen Welbourn
Keyword(s):  
Pacific Ocean ◽  
Food Webs ◽  
Phytoplankton Biomass ◽  
Lake Erie ◽  
Natural Conditions ◽  
Southern Ontario ◽  
Cu Toxicity ◽  
The Pacific ◽  
The Pacific Ocean ◽  
Grand River

With the increased use and loading of metals into the environment, the accumulation of toxic metals by phytoplankton has become a concern. Trace metal interactions with phytoplankton are of particular interest due to the influence of phytoplankton on the biogeochemical cycling of metals in aquatic systems. The study of the accumulation of metals and their toxicity in phytoplantkon is also of interest since phytoplankton lie at the base of many aquatic food webs. Toxic metals therefore have the potential to disrupt food webs and may have important implications on aquatic ecosystems. This study has chosen to focus on the response of phytoplankton to two trace metals in particular: copper (Cu) and manganese (Mn). Although both Cu and Mn are essential elements for phytoplankton, Cu is of particular interest as a toxicant. A number of laboratory studies have suggested that there exists a physiological interaction between Cu and Mn, and that Cu toxicity can be decreased in the presence of high concentrations of Mn. However, few studies have examined the effects of these metals on phytoplankton in their natural environments. The significance of this study is that it is one of the first to examine whether the importance of Cu toxicity and the interaction between Cu and Mn observed in the laboratory is also observable under natural conditions. Short-term bioassays were conducted in order to observe the response of phytoplankton from the Grand River (Southern Ontario) and Lake Erie to additions of various concentrations of eu and Mn under natural conditions. Similar long-term bioassay experiments were also conducted in the Pacific Ocean. Experiments in the Grand River and the Pacific Ocean revealed no significant decrease in phytoplankton biomass or in photosynthetic efficiency with the addition of various concentrations of Cu and Mn. In Lake Erie, phytoplankton biomass was only adversely affected following relatively high additions of Cu of 60 nM, and only under certain conditions. These results seem to indicate that under the tested conditions, Cu toxicity may not be of particular concern to the phytoplankton of the Grand River, Lake Erie and Pacific Ocean ecosystems.

scholarly journals The effect of copper and manganese on phytoplankton in the Grand River (southern Ontario), Lake Erie and Pacific Ocean ecosystems

2021 ◽  
Author(s):  
Rachel Helen Welbourn
Keyword(s):  
Pacific Ocean ◽  
Food Webs ◽  
Phytoplankton Biomass ◽  
Lake Erie ◽  
Natural Conditions ◽  
Southern Ontario ◽  
Cu Toxicity ◽  
The Pacific ◽  
The Pacific Ocean ◽  
Grand River

With the increased use and loading of metals into the environment, the accumulation of toxic metals by phytoplankton has become a concern. Trace metal interactions with phytoplankton are of particular interest due to the influence of phytoplankton on the biogeochemical cycling of metals in aquatic systems. The study of the accumulation of metals and their toxicity in phytoplantkon is also of interest since phytoplankton lie at the base of many aquatic food webs. Toxic metals therefore have the potential to disrupt food webs and may have important implications on aquatic ecosystems. This study has chosen to focus on the response of phytoplankton to two trace metals in particular: copper (Cu) and manganese (Mn). Although both Cu and Mn are essential elements for phytoplankton, Cu is of particular interest as a toxicant. A number of laboratory studies have suggested that there exists a physiological interaction between Cu and Mn, and that Cu toxicity can be decreased in the presence of high concentrations of Mn. However, few studies have examined the effects of these metals on phytoplankton in their natural environments. The significance of this study is that it is one of the first to examine whether the importance of Cu toxicity and the interaction between Cu and Mn observed in the laboratory is also observable under natural conditions. Short-term bioassays were conducted in order to observe the response of phytoplankton from the Grand River (Southern Ontario) and Lake Erie to additions of various concentrations of eu and Mn under natural conditions. Similar long-term bioassay experiments were also conducted in the Pacific Ocean. Experiments in the Grand River and the Pacific Ocean revealed no significant decrease in phytoplankton biomass or in photosynthetic efficiency with the addition of various concentrations of Cu and Mn. In Lake Erie, phytoplankton biomass was only adversely affected following relatively high additions of Cu of 60 nM, and only under certain conditions. These results seem to indicate that under the tested conditions, Cu toxicity may not be of particular concern to the phytoplankton of the Grand River, Lake Erie and Pacific Ocean ecosystems.

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