A Quantitative Approach to Characterizing Hypoxic Events

Abstract Because hypoxia can have catastrophic effects on estuarine ecosystem health, a critical coastal resource management need is the ability to quantify and compare the relative severity of hypoxic events in terms of their potential for ecological impact. This study makes use of continuous, high-frequency water quality monitoring data available through the National Estuarine Research Reserve's System-Wide Monitoring Program to explore a quantitative index approach that captures the transient nature of hypoxic events and allows for their comparison across space and time. The conceptual model explores various time and concentration thresholds for defining “events,” which then allows for ranking their severity in terms of duration and concentration. In our example, we have borrowed from the familiar hurricane categorization index to create an analogous hypoxic event severity index (1–5), with higher values indicating more ecologically damaging events. We demonstrate that the model provides a convenient way to quantify and compare the frequency and severity of hypoxia over 4 years at one site and between two widely separated locations over 3 years.

[1]  T. Targett,et al.  Ecophysiological responses of juvenile summer and winter flounder to hypoxia: experimental and modeling analyses of effects on estuarine nursery quality , 2006 .

[2]  P. Montagna,et al.  Direct and indirect effects of hypoxia on benthos in Corpus Christi Bay, Texas, U.S.A. , 2006 .

[3]  J. Osborne,et al.  Hypoxia tolerance in two juvenile estuary-dependent fishes , 2005 .

[4]  J. A. Rice,et al.  Hypoxia-induced growth rate reduction in two juvenile estuary-dependent fishes , 2004 .

[5]  M. Kennish NERRS Research and Monitoring Initiatives , 2004 .

[6]  A. Holland,et al.  Variability in Dissolved Oxygen and Other Water-Quality Variables Within the National Estuarine Research Reserve System , 2004 .

[7]  James D. Hagy,et al.  Hypoxia in Chesapeake Bay, 1950–2001: Long-term change in relation to nutrient loading and river flow , 2004 .

[8]  L. Crowder,et al.  Effects of hypoxic disturbances on an estuarine nekton assemblage across multiple scales , 2004 .

[9]  Aaron T. Adamack,et al.  The pattern and influence of low dissolved oxygen in the Patuxent River, a seasonally hypoxic estuary , 2003 .

[10]  D. Breitburg Effects of hypoxia, and the balance between hypoxia and enrichment, on coastal fishes and fisheries , 2002 .

[11]  Don C. Miller,et al.  Determination of lethal dissolved oxygen levels for selected marine and estuarine fishes, crustaceans, and a bivalve , 2002 .

[12]  I. Valiela,et al.  The ecological effects of urbanization of coastal watersheds: historical increases in nitrogen loads and eutrophication of Waquoit Bay estuaries , 2001 .

[13]  J. Hauxwell,et al.  MACROALGAL CANOPIES CONTRIBUTE TO EELGRASS (ZOSTERA MARINA) DECLINE IN TEMPERATE ESTUARINE ECOSYSTEMS , 2001 .

[14]  Wannamaker,et al.  Effects of hypoxia on movements and behavior of selected estuarine organisms from the southeastern United States. , 2000, Journal of experimental marine biology and ecology.

[15]  D. Burdick,et al.  Quantifying eelgrass habitat loss in relation to housing development and nitrogen loading in Waquoit Bay, Massachusetts , 1996 .

[16]  D. Dauer,et al.  Effects of low dissolved oxygen events on the macrobenthos of the lower Chesapeake Bay , 1992 .

[17]  S. Baden,et al.  Hypoxia-induced structural changes in the diet of bottom-feeding fish and Crustacea , 1992 .

[18]  Ivan Valiela,et al.  Nitrogen loading from watersheds to estuaries: Verification of the Waquoit Bay Nitrogen Loading Model , 2000 .

[19]  R. Rosenberg,et al.  Marine benthic hypoxia: a review of its ecological effects and the behavioural responses of benthic macrofauna , 1995 .