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Office
FSH 220B
Mailing Address
School of Aquatic & Fishery Sciences
Box 355020
Seattle, WA 98195
Phone
206.543.6475
Email
davebea@
u.washington.edu
Undergraduate
Univ. of Washington
Fisheries
Masters
Univ. of Washington
Fisheries
Topic: Upper Granite Lake Arctic Grayling
Doctorate
Univ. of Washington
Fisheries
Topic: Ecology of Hatchery Origin Rainbow Trout
Arrival Date
2000
Research Interests
Aquatic Community Ecology
Food Web Modeling
Native-Nonnative Interactions
Fish Behavior
Population Assessment
Bioenergetics Modeling
Hydroacoustics
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Dr.
David Beauchamp
Asst. Unit Leader - Fisheries
Dr. Beauchamp conducts and coordinates research on fisheries
resources with staff in WCFWRU, other faculty at the University of Washington,
and cooperating state and federal agencies (Washington Departments of
Ecology, Fish and Wildlife, and Natural Resources, U.S. Fish & Wildlife
Service), and other organizations.
His research program addresses basic and applied questions
which link individual behavior to community-level processes that influence
the structure and function of aquatic food webs in lakes, estuaries and
marine systems. His work involves quantifying linkages in food webs to
locate critical processes that structure aquatic communities. Stage-specific
spatial and temporal components of trophic interactions are examined through
a combination of directed sampling, lab and field experiments, and simulation
modeling. Most recently, Dave has been working to enhance the capability
to predict the response of aquatic populations and communities to natural-
and human-induced perturbations (environmental change, species introductions,
enhancement or harvest regimes, etc.) through development, testing, and
application of a visual foraging model for pelagic piscivores. This program
includes a laboratory component for measuring prey detection by predators
as a function of light, prey size, and transparency; a field component
for estimating detection volumes in waters of different optical characteristics
at different depths and times of day; and a modeling component for predicting
prey selection and consumption under a variety of environmental conditions
and prey availabilities.
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