2015
DOI: 10.1016/j.jglr.2014.12.018
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Modeling the effect of invasive quagga mussels on the spring phytoplankton bloom in Lake Michigan

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Cited by 48 publications
(70 citation statements)
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“…Lakes research and operational applications (Beletsky et al 2003;Wang et al 2010;Anderson and Schwab 2013;Rowe et al 2015; and many others). Inclusion of LS87 in FVCOM was tied to the fact that the algorithm was historically part of real-time nowcasts and forecasts of NOAA's GLOFS, which is based on the Princeton Ocean Model, and that GLOFS is transitioning its 5 physical model to FVCOM.…”
Section: Lakes Environmental Research Laboratory (Glerl) and Subsequementioning
confidence: 99%
“…Lakes research and operational applications (Beletsky et al 2003;Wang et al 2010;Anderson and Schwab 2013;Rowe et al 2015; and many others). Inclusion of LS87 in FVCOM was tied to the fact that the algorithm was historically part of real-time nowcasts and forecasts of NOAA's GLOFS, which is based on the Princeton Ocean Model, and that GLOFS is transitioning its 5 physical model to FVCOM.…”
Section: Lakes Environmental Research Laboratory (Glerl) and Subsequementioning
confidence: 99%
“…However, the model peak in GPP associated with the spring/summer phytoplankton bloom tends to occur 1–2 months earlier than the observed peak in both comparisons. This is consistent with an earlier onset of stratification due to a warm bias in the model NARR forcing [ Pilcher et al ., ; Rowe et al ., ]. This difference is most pronounced in May of the postquagga timeframe (Figure b), when simulated and observed GPP is 218 and 851 mgC/m 2 /day, respectively.…”
Section: Resultsmentioning
confidence: 93%
“…Productivity is then eventually limited by depleted epilimnetic nutrient concentrations and zooplankton grazing, as in the prequagga model [ Pilcher et al ., ]. This seasonal dependence of quagga mussel grazing is consistent with studies citing quagga mussels as the primary mechanism for the observed Lake Michigan productivity changes [ Fahnenstiel et al ., ; Kerfoot et al ., ; Vanderploeg et al ., ; Rowe et al ., ]. Nearshore regions (<20 m) are an exception to this seasonal dependency, since maximum depths are shallower than the surface mixed layer, resulting in year‐round grazing by mussels.…”
Section: Discussionmentioning
confidence: 99%
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“…To illustrate how vertical mixing, stratification, and mussel grazing influence the dynamics of food availability to mussels at littoral vs. profundal habitats in 2015 and to estimate the relative food availability throughout the water column in 2016, we ran simulations using a 1‐dimensional (vertical column) version of the biophysical model described by Rowe et al (). Rowe et al ( a ) showed that 1‐dimensional biophysical model simulations can reproduce seasonal patterns of phytoplankton abundance observed in the Great Lakes, including the spring bloom during the late isothermal and early stratification periods, the deep chlorophyll maximum during stratification, and secondary maxima in surface and bottom chlorophyll associated with fall turnover. The biophysical model represented a simplified, phosphorus (P)‐limited lower food web, consisting of five functional groups: phytoplankton, zooplankton, dissolved P, detritus, and mussel biomass.…”
Section: Methodsmentioning
confidence: 99%