Effects of spatial and temporal variability of turbidity on phytoplankton blooms

A central challenge of coastal ecology is sorting out the interacting spatial and temporal components of environmental variability that combine to drive changes in phytoplankton biomass. For 2 decades, we have combined sustained observation and experimentation in South San Francisco Bay (SSFB) with numerical modeling analyses to search for general principles that define phyto- plankton population responses to physical dynamics characteristic of shallow, nutrient-rich coastal waters having complex bathymetry and influenced by tides, wind and river flow. This study is the latest contribution where we investigate light-limited phytoplankton growth using a numerical model, by modeling turbidity as a function of suspended sediment concentrations (SSC). The goal was to explore the sensitivity of estuarine phytoplankton dynamics to spatial and temporal variations in turbidity, and to synthesize outcomes of simulation experiments into a new conceptual framework for defining the combinations of physical-biological forcings that promote or preclude development of phytoplankton blooms in coastal ecosystems. The 3 main conclusions of this study are: (1) The timing of the wind with semidiurnal tides and the spring-neap cycle can significantly enhance spring- neap variability in turbidity and phytoplankton biomass; (2) Fetch is a significant factor potentially affecting phytoplankton dynamics by enhancing and/or creating spatial variability in turbidity; and (3) It is possible to parameterize the combined effect of the processes influencing turbidity —and thus affecting potential phytoplankton bloom development —with 2 indices for vertical and horizontal clearing of the water column. Our conceptual framework is built around these 2 indices, providing a means to determine under what conditions a phytoplankton bloom can occur, and whether a poten- tial bloom is only locally supported or system-wide in scale. This conceptual framework provides a tool for exploring the inherent light climate attributes of shallow estuarine ecosystems and helps determine susceptibility to the harmful effects of nutrient enrichment.

[1]  D. Schoellhamer,et al.  Combined Use of Remote Sensing and Continuous Monitoring to Analyse the Variability of Suspended-Sediment Concentrations in San Francisco Bay, California , 2001 .

[2]  J. Cloern Our evolving conceptual model of the coastal eutrophication problem , 2001 .

[3]  Stephen G. Monismith,et al.  Three-Dimensional Salinity Simulations of South San Francisco Bay , 1999 .

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

[5]  Stephen G. Monismith,et al.  Processes governing phytoplankton blooms in estuaries. II: The role of horizontal transport , 1999 .

[6]  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 .

[7]  S. Agustí,et al.  Determining the contribution of pigments and the nonalgal fractions to total absorption: Toward an improved algorithm , 1998 .

[8]  Janet K. Thompson,et al.  Does the Sverdrup critical depth model explain bloom dynamics in estuaries , 1998 .

[9]  David H. Schoellhamer,et al.  Factors affecting suspended‐solids concentrations in South San Francisco Bay, California , 1996 .

[10]  J. Cloern PHYTOPLANKTON BLOOM DYNAMICS IN COASTAL ECOSYSTEMS' A REVIEW WITH SOME GENERAL LESSONS FROM SUSTAINED INVESTIGATION OF SAN FRANCISCO , 1996 .

[11]  James E. Cloern,et al.  An empirical model of the phytoplankton chlorophyll : carbon ratio‐the conversion factor between productivity and growth rate , 1995 .

[12]  Kuo-chuin Wong On the nature of transverse variability in a coastal plain estuary , 1994 .

[13]  L. Sanford Wave-forced resuspension of upper Chesapeake Bay muds , 1994 .

[14]  B. Mcpherson,et al.  CAUSES OF UGHT AVI'ENUATION IN TAMPA BAY AND CHARLOTTE HARBOR, SOUTHWESTERN FLORIDA , 1994 .

[15]  Alan F. Blumberg,et al.  Modeling Vertical Structure of Open-Channel Flows , 1992 .

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

[17]  W. Vant Causes of light attenuation in nine New Zealand estuaries , 1990 .

[18]  J. Matthews,et al.  Tidal straining, density currents, and stirring in the control of estuarine stratification , 1990 .

[19]  James E. Cloern,et al.  Turbidity as a control on phytoplankton biomass and productivity in estuaries , 1987 .

[20]  James E. Cloern,et al.  Temporal dynamics of estuarine phytoplankton: A case study of San Francisco Bay , 1985, Hydrobiologia.

[21]  G. Mellor,et al.  Development of a turbulence closure model for geophysical fluid problems , 1982 .

[22]  O. Madsen,et al.  Combined wave and current interaction with a rough bottom , 1979 .

[23]  R. T. Cheng,et al.  A numerical model of sediment transport applied to San Francisco Bay, California , 1997 .

[24]  S. Monismith,et al.  Stratification dynamics and gravitational circulation in northern San Francisco Bay , 1996 .

[25]  J. Cloern,et al.  Phytoplankton growth rates in a light-limited environment, San Francisco Bay , 1988 .

[26]  B. Cole,et al.  An empirical model for estimating phytoplankton productivity in estuaries , 1987 .

[27]  D. D. Toro,et al.  Optics of turbid estuarine waters: Approximations and applications , 1978 .

[28]  T. T. Bannister A general theory of steady state phytoplankton growth in a nutrient saturated mixed layer , 1974 .