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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

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.