Phytoplankton trends in the Great Lakes, 2001–2011

Reavie, Euan D.; Barbiero, Richard P.; Allinger, Lisa E.; Warren, Glenn J.

doi:10.1016/j.jglr.2014.04.013

Cited by 97 publications

(84 citation statements)

References 50 publications

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“…Recently, chlorophyll a concentrations at the intakes in the western and the eastern basins have increased, and the cell densities of several diatom species in the western basin have also been higher in several years during the last decade than during the early 1990s. These changes are consistent with observations made in open water monitoring programs and have been attributed in part to recent increases in total P inputs to the western basin (Allinger and Reavie, 2013;Reavie et al, 2014;Scavia et al, 2014). The inputs of dissolved reactive P into the western basin from its major agricultural tributaries have also increased significantly since 1991, contributing to increases in algal biomass and re-eutrophication of the lake Johnson et al, 2014;Kane et al, 2014).…”

Section: Discussionsupporting

confidence: 85%

“…As a result, steps were taken that achieved significant loading reductions, including reducing the levels of P in laundry detergents and upgrading sewage treatment plants to remove P from effluents (Nicholls and Hopkins, 1993). However, the symptoms of eutrophication that were reduced during the 1970s and 1980s re-emerged in the 1990s (Allinger and Reavie, 2013;Reavie et al, 2014). These included cyanobacterial blooms in the western basin that have again become frequent (Bridgeman et al, 2012), and the resurgence of nuisance growth of Cladophora (Auer et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Lake-wide seasonal comparisons from 2007 to 2011 summarized by Twiss et al (2012) revealed that chlorophyll a concentrations were greatest in the winter, followed by summer and spring. The central basin also had a notable recent increase in spring Aulacoseira abundance (Reavie et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Long term changes in nutrients, chloride, and phytoplankton density in the nearshore waters of Lake Erie

Winter

Palmer

Howell

et al. 2015

Journal of Great Lakes Research

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

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Long term changes in nutrients, chloride, and phytoplankton density in the nearshore waters of Lake Erie

Winter

Palmer

Howell

et al. 2015

Journal of Great Lakes Research

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“…Population sizes are based on site specific information (see Model Application). For example, for the Great Lakes, they are based on observed cyanobacteria concentration in each segment (Reavie, Barbiero, Allinger, & Warren, 2014).…”

Section: Growth and Deathmentioning

confidence: 99%

“…Population sizes for each segment are based on observed cyanobacteria concentrations (cells/ml) ( Table 3-1) (Reavie et al, 2014). The data corresponds to the 9 segments of the model, which has some lakes resolved using two or more segments.…”

Section: Great Lakesmentioning

confidence: 99%

Neutral Evolution and Dispersal Limitation Produce Biogeographic Patterns in Microcystis aeruginosa Populations of Lake Systems

Shirani

Hellweger

2017

Microb Ecol

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Molecular observations reveal substantial biogeographic patterns of cyanobacteria within systems of connected lakes. An important question is the relative role of environmental selection and neutral processes in the biogeography of these systems. Here we quantify the effect of genetic drift and dispersal limitation by simulating individual cyanobacteria cells using an agent-based model (ABM). In the model, cells grow (divide), die and migrate between lakes. Each cell has a full genome that is subject to neutral mutation (i.e. the growth rate is independent of the genome). The model is verified by simulating simplified lake systems, for which theoretical solutions are available. Then, it is used to simulate the biogeography of the cyanobacterium Microcystis aeruginosa in a number of real systems, including the Great Lakes, Klamath River, Yahara River and Chattahoochee River. Model output is analyzed using standard bioinformatics tools (BLAST, MAFFT). The emergent patterns of nucleotide divergence between lakes are dynamic, including gradual increases due to accumulation of mutations and abrupt changes due to population takeovers by migrant cells (coalescence events). The model predicted nucleotide divergence is heterogeneous within systems and for weakly connected lakes it can be substantial. For example, Lakes Superior and Michigan are predicted to have an average genomic nucleotide divergence of 8,200 bp or 0.14%. The divergence between more strongly connected lakes is much lower. Our results provide a quantitative baseline for future biogeography studies. They show that dispersal limitation can be an important factor in microbe biogeography, which is contrary to the common belief, and could affect how a system responds to environmental change.iii ACKNOWLEDGMENTSWe thank Steve Chapra for providing the Great Lakes model and Euan Reavie for cyanobacteria concentration data in the Great Lakes. Peter Furth and Haris Koutsopoulos provided advice on the theoretical aspect. Haiwei Luo helped with the mutation rates. Three anonymous reviewers provided constructive criticism.

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Physical and biogeochemical mechanisms of internal carbon cycling in Lake Michigan

et al. 2015

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The lakewide seasonal carbon cycle of Lake Michigan is poorly quantified and lacks the mechanistic links necessary to determine impacts upon it from eutrophication, invasive species, and climate change. A first step toward a full appreciation of Lake Michigan's carbon cycle is to quantify the dominant mechanisms of its internal carbon cycle. To achieve this, we use the MIT general circulation model configured to the bathymetry of Lake Michigan and coupled to an ecosystem model to simulate the seasonal cycle of productivity, temperature, circulation, and the partial pressure of CO 2 in water (pCO 2 ). This biogeochemistry is designed to be appropriate for the prequagga mussel state of the lake. The primary mechanism behind the seasonal cycle of primary productivity is lake physics. The offshore spring phytoplankton bloom begins following a reduction in deep vertical mixing and ends with the depletion of nutrients via thermal stratification. The exception is the western shoreline, where summer winds drive coastal upwelling, providing hypolimnetic nutrients and generating significant productivity. Surface pCO 2 is controlled by the net effect from temperature on solubility, and is modulated by biological uptake of dissolved inorganic carbon (DIC) and isothermal mixing of DIC-rich water in winter. Temperature tends to have the greatest seasonal impact in nearshore regions, while local DIC has the greatest impact in offshore regions. Lakewide, the model suggests that carbon is absorbed from the atmosphere during the spring bloom and released to the atmosphere during winter mixing and when summer surface temperatures are at their maximum.

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Phytoplankton trends in the Great Lakes, 2001–2011

Cited by 97 publications

References 50 publications

Long term changes in nutrients, chloride, and phytoplankton density in the nearshore waters of Lake Erie

Long term changes in nutrients, chloride, and phytoplankton density in the nearshore waters of Lake Erie

Neutral Evolution and Dispersal Limitation Produce Biogeographic Patterns in Microcystis aeruginosa Populations of Lake Systems

Physical and biogeochemical mechanisms of internal carbon cycling in Lake Michigan

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