CS39A Zooplankton - Feeding, Reproduction, Growth and Molecular Diversity
Date: Tuesday, June 11, 2002
Time: 10:30:00 AM
Location: View Royal
 
BlukaczEA, University of Toronto at Mississauga, Mississauga, Canada, ablukacz@utm.utoronto.ca
Sprules, W, G, University of Toronto at Mississauga, Mississauga, , gsprules@cyclops.erin.utoronto.ca
Gubala, C, , Scientific Assessment Technologies Laboratory, University of Toronto at Mississauga, Mississauga, Canada, cgubala@credit.erin.utoronto.ca
Millard, S, , Scott, Fisheries and Oceans Canada, Canada Centre for Inland Waters, Burlington, Canada, MillardS@DFO-MPO.GC.CA
 
INCORPORATING SPATIAL AND TEMOPRAL INFORMATION INTO ENERGY TRANSFER MODELS
image
Spatial and temporal variations in the distribution of organisms can affect energy flow from prey to predator in aquatic food webs. Multiple continuous sensors attached to a tow-body were used to sample three inland lakes in Ontario (Opeongo, Drag, and Smoke), Canada. In each lake, we recorded the spatial and temporal distribution of pelagic organisms and classified physical habitat. A fluorometer recorded chlorophyll concentrations while an Optical Plankton Counter (OPC) and 710 kHz acoustic transducer recorded zooplankton biomass. Fish abundance was simultaneously measured with a 120 kHZ acoustic transducer. Sampling was repeated three times for each lake during a single season . Preliminary estimates show that average zooplankton consumption exceeds photosynthetic rates by 30%. In an effort to explain this apparent lack of energy, we will model the transfer of energy through the entire food web using a method that preserves the temporal and spatial structure of the data. A single energy transfer model will be generated for each lake, summarizing seasonal gains and losses for each trophic group.