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Goals of zooplankton suspension feeder project

Goals of zooplankton suspension feeder project. Zooplankton consumption estimates Dynamic model of impact of changing prey densities on potential zooplankton consumption rates

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Goals of zooplankton suspension feeder project

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  1. Goals of zooplankton suspension feeder project • Zooplankton consumption estimates • Dynamic model of impact of changing prey densities on potential zooplankton consumption rates • Coordinate efforts with the investigators on the benthic suspension feeder project and Chesapeake Bay Program advisors.

  2. Progress: • Compilation of a database from published literature of empirically derived mesozooplankton and microzooplankton clearance and ingestion rates • Includes information related to the effects of temperature and food quality on feeding rates • SAS code created to derive taxon-specific consumption rates for the dominant micro- and mesozooplankton

  3. Parameters used for consumption estimates

  4. Zooplankton abundance Chesapeake Bay Program (CBP) monitoring program data • Dominant mesozooplankton taxa • Microzooplankton • Copepod nauplii • Rotifers • Ciliates, tintinnids, sarcodinids • Bivalve larvae

  5. Prey Density Phytoplankton biomass (carbon) from Breitburg et al. synthesis of CBP phytoplankton data • by segment • by size class

  6. Ingestion Rates • Literature values for functional response parameters by zooplankton taxa • I(d) = Imax* d /(Km + d) • temperature effect: Q10 = 2.8 (Hansen et al. 1997)

  7. Density dependent ingestion rates Imax Ingestion rate (I) Cmax Imax = max ingestion; Cmax = max clearance; Km = half saturation food density (after Hansen et al. 1997) Km prey density (d)

  8. Deliverable 2: Dynamic Model • The clearance rate calculations will be used to refine parameter estimates for site-specific implementation of dynamic aquatic ecosystem models using the Comprehensive Aquatic Simulation Model (CASM) developed by Steve Bartell. Goal: Provide a means of predicting zooplankton grazer feeding responses to changing abundances and species composition of phytoplankton as the nutrient regimes in Chesapeake Bay change in response to anticipated management actions.

  9. To provide the necessary food web structure for CASM application to the Bay, the parameter values that determine the feeding rates, prey selectivity, and growth of the consumer populations in the CASM are being examined and a dynamic approach to modeling prey selectivity is being explored.

  10. Final deliverable(Bartell, Bundy, postdoctoral associate, Jacobs) • Coordinate efforts with the investigators on the benthic suspension feeder project and Chesapeake Bay Program advisors. • Provide information and work with other modelers to link clearance rate estimations resulting from the consumption estimates, and the predictions of the intermediate complexity model, to the Chesapeake Bay Estuary Model (CE-QUAL-ICM) and ECOPATH with ECOSIM.

  11. Advertisement for postdoc will be out next week.

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