A model study of the coupled biological and physical dynamics in Lake Michigan

Chen, Changsheng; Ji, Rubao; Schwab, David J.; Beletsky, Dmitry; Fahnenstiel, Gary L.; Jiang, Mingshun; Johengen, Thomas H.; Vanderploeg, Henry A.; Eadie, Brian J.; Budd, Judith Wells; Bundy, M. H.; Gardner, Wayne S.; Cotner, James B.; Lavrentyev, Peter J.

doi:10.1016/s0304-3800(02)00026-1

Cited by 93 publications

(72 citation statements)

References 42 publications

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“…This suggests that the microbial loop associated with bacteria played an important role in the balance of the lower trophic level food web system in southern Lake Michigan. This finding was consistent with the 1-D coupled biological and physical modeling experiments conducted by Chen et al (2002), even when the suspended sediments were taken into account.…”

Section: Flux Within the Food Websupporting

confidence: 90%

“…The model experiments were conducted using the 3-D coupled biological and physical model of Lake Michigan developed by Chen et al (2002). Since our studies were focused on the plume event in early spring, where silicon was not a limiting factor for phytoplankton growth, we removed silicon from the biological model and made a purely phosphorus-controlled lower trophic level food web system with seven state variables (Fig.…”

Section: The Coupled Biological and Physical Modelmentioning

confidence: 99%

“…Following the approach used in Chen et al (2002), we also estimated the flux of biological variables within the food web inside and outside the plume. The estimation was made at sites A and B (see Fig.…”

Section: Flux Within the Food Webmentioning

confidence: 99%

“…Because of light limitation in the plume, no significant cross-shore variation of the phytoplankton concentration was detected, especially over a time scale of 5-7 days. A higher density of bacteria was found during the plume event, which was believed to be a result of high decomposition from the detritus pool associated with sediment resuspension (Cotner et al, 1999;Chen et al, 2002). The existence of high bacterial abundances implies that the microbial food web probably could supply the energy required for the growth of microzooplankton.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we attempt to use our 3-D coupled biological and physical model (Chen et al, 2002) to examine the influence of suspended sediment on the lower trophic food web ecosystem in southern Lake Michigan. Our studies are focused on the spatial distribution of nutrients and phytoplankton and on the role/contribution of the microbial food web in/to the energy flux in the lower trophic level food web system.…”

Section: Introductionmentioning

confidence: 99%

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Influences of suspended sediments on the ecosystem in Lake Michigan: a 3-D coupled bio-physical modeling experiment

Chen

Budd

et al. 2002

Ecological Modelling

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The influence of suspended sediments on the Lake Michigan ecosystem was examined using a 3-dimensional (3-D) coupled biological and physical model developed by Chen et al. (part I). The model was driven by the realistic meteorological forces observed in March 1998, with daily inputs of suspended sediment concentration that were derived from temporally and spatially interpolated satellite imagery. The model results show the significant impact of a seasonally recurring coastal resuspension plume on the spatial and temporal variation of the nutrients and plankton in southern Lake Michigan. The plume-released nutrients played an essential role in maintaining the nutrient level in the lake. Although the growth of phytoplankton in the plume depended on the availability of nutrients and light, the offshore decrease in phytoplankton biomass still satisfied the Sverdrup's relationship. Cross-shore fluxes of nutrients and phytoplankton were controlled by episodic wind events with a period of : 5 -7 days: offshore during southward winds and onshore during northward winds. The flux estimates for biological variables suggest that the microbial food web is a key contributor to secondary production in southern Lake Michigan and the lower trophic level food web system could be dynamically divided into two decoupled loops: (1) detritus-bacteria-microzooplankton-large zooplankton; and (2) nutrient-phytoplankton-detritus. The model-predicted spatial distributions of nutrients and phytoplankton were in reasonable agreement with observations taken during the 1998 EEGLE interdisciplinary cruises, suggesting that the model was sufficiently robust to capture the basic characteristics of the Lake Michigan ecosystem during the plume event.

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Section: Flux Within the Food Websupporting

confidence: 90%

Section: The Coupled Biological and Physical Modelmentioning

confidence: 99%

Section: Flux Within the Food Webmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influences of suspended sediments on the ecosystem in Lake Michigan: a 3-D coupled bio-physical modeling experiment

Chen

Budd

et al. 2002

Ecological Modelling

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Assessing ecosystem response to phosphorus and nitrogen limitation in the Pearl River plume using the Regional Ocean Modeling System (ROMS)

Gan

Cheung

et al. 2014

JGR Oceans

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The effect of phosphorus limitation on the Pearl River plume ecosystem, where large gradients in both nitrogen (N) and phosphorus (P) concentrations exist, is investigated in this process-oriented study by coupling the Regional Ocean Modeling System (ROMS) model with a new nitrogen, phosphorus, phytoplankton, zooplankton, and detritus (NPPZD) ecosystem model. The results of the N-based only model of Gan et al. (2010) were compared with those of the new NP-based model for the plume. The inclusion of Plimitation noticeably reduces the total phytoplankton production in the plume in the P-limited near and midfield regions of the plume. However, the nitrate in the plume extends farther downstream and forms a broad area of phytoplankton bloom in the N-limited far field. Moreover, it changes the photosynthetically active radiation and strengthens the subsurface chlorophyll maximum in the near and midfields, but weakens it in the far field. A high N:P ratio of $120 in the near field decreases quickly to a low N:P ratio of <13.3 in the far field due to a higher N:P consumption ratio and mixing with ambient waters with a lower N:P ratio. Mortality and coagulation acts as major sinks for phytoplankton production in the near and midfield during the developmental stage of the bloom, but grazing gradually becomes the most important sink for phytoplankton production in the entire plume during the mature stage. It was shown that the magnitudes of the difference between the NP-based and N-based cases decrease sequentially for nutrients, phytoplankton, and zooplankton.

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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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A model study of the coupled biological and physical dynamics in Lake Michigan

Cited by 93 publications

References 42 publications

Influences of suspended sediments on the ecosystem in Lake Michigan: a 3-D coupled bio-physical modeling experiment

Influences of suspended sediments on the ecosystem in Lake Michigan: a 3-D coupled bio-physical modeling experiment

Assessing ecosystem response to phosphorus and nitrogen limitation in the Pearl River plume using the Regional Ocean Modeling System (ROMS)

Physical and biogeochemical mechanisms of internal carbon cycling in Lake Michigan

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