Processes governing phytoplankton blooms in estuaries. II: The role of horizontal transport

The development and distribution of phytoplankton blooms in estuaries are functions of both local conditions (i.e. the production-loss balance for a water column at a particular spatial location) and large-scale horizontal transport. In this study, the second of a 2-paper series, we use a depth-averaged hydrodynamic-biological model to identify transport-related mechanisms impacting phytoplankton biomass accumulation and distribution on a system level. We chose South San Francisco Bay as a model domain, since its combination of a deep channel surrounded by broad shoals is typical of drowned-river estuaries. Five general mechanisms involving interaction of horizontal transport with variability in local conditions are discussed. Residual (on the order of days to weeks) transport mechanisms affecting bloom development and location include residence time/export, import, and the role of deep channel regions as conduits for mass transport. Interactions occurring on tidal time scales, i.e. on the order of hours) include the phasing of lateral oscillatory tidal flow relative to temporal changes in local net phytoplankton growth rates, as well as lateral sloshing of shoal-derived biomass into deep channel regions during ebb and back into shallow regions during flood tide. Based on these results, we conclude that: (1) while local conditions control whether a bloom is possible, the combination of transport and spatial-temporal variability in local conditions determines if and where a bloom will actually occur; (2) tidal-time-scale physical-biological interactions provide important mechanisms for bloom development and evolution. As a result of both subtidal and tidal-time-scale transport processes, peak biomass may not be observed where local conditions are most favorable to phytoplankton production, and inherently unproductive areas may be regions of high biomass accumulation.

[1]  Stephen G. Monismith,et al.  Evaluation of Advective Schemes for Estuarine Salinity Simulations , 2000 .

[2]  S. Monismith,et al.  Comparison of Advective Transport Algorithms with an Application in Suisun Bay, a Sub-Embayment of San Francisco Bay, California , 1993 .

[3]  Jeffrey W. Gartner,et al.  Tidal, Residual, Intertidal Mudflat (TRIM) Model and its Applications to San Francisco Bay, California , 1993 .

[4]  J. Cloern Tidal stirring and phytoplankton bloom dynamics in an estuary , 1991 .

[5]  C. Frid,et al.  Environmental monitoring of caged fish farming in macrotidal environments , 1989 .

[6]  J. Zimmerman,et al.  Some principles of mixing in tidal lagoons , 1982 .

[7]  Vincenzo Casulli,et al.  Semi-implicit finite difference methods for the two-dimensional shallow water equation , 1990 .

[8]  Thomas M. Powell,et al.  Spatial and temporal variability in South San Francisco Bay (USA). II. Temporal changes in salinity, suspended sediments, and phytoplankton biomass and productivity over tidal time scales , 1989 .

[9]  J. Zimmerman,et al.  Chaotic Stirring in a Tidal System , 1992, Science.

[10]  Jeffrey W. Gartner,et al.  Harmonic analysis of tides and tidal currents in South San Francisco Bay, California , 1985 .

[11]  J. Cloern,et al.  Changes in production and respiration during a spring phytoplankton bloom in San Francisco Bay, California, USA: Implications for net ecosystem metabolism , 1998 .

[12]  J. Hauxwell,et al.  Macroalgal blooms in shallow estuaries: Controls and ecophysiological and ecosystem consequences , 1997 .

[13]  T. Powell,et al.  Episodic changes in lateral transport and phytoplankton distribution in South San Francisco Bay , 1990 .

[14]  Stephen G. Monismith,et al.  Processes governing phytoplankton blooms in estuaries. I: The local production-loss balance , 1999 .

[15]  J. Zimmerman,et al.  The tidal whirlpool: a review of horizontal dispersion by tidal and residual currents , 1986 .