Charles P Madenjian, PhD
Charles P. Madenjian is a Research Fishery Biologist in the Lake Michigan Section of the Deepwater Sciences Branch of the U.S. Geological Survey (USGS) Great Lakes Science Center. He is stationed at the USGS Great Lakes Science Center headquarters in Ann Arbor, Michigan.
The scientist’s research efforts can be categorized into four theme areas: (1) fish community dynamics and native fish restoration in the Laurentian Great Lakes, (2) invasion biology in the Laurentian Great Lakes, (3) bioenergetics modeling, and (4) contaminant accumulation in fish. The scope of the scientist’s research varies across these four theme areas. For fish community dynamics, native fish restoration, and invasion biology, the scientist’s research is focused on Lake Michigan, given the scientist’s assignment to the Lake Michigan Section. However, comparing Lake Michigan with the other Laurentian Great Lakes is within the scientist’s scope of research. Much of the scientist’s research work emanates from these inter-lake comparisons. Data available for analysis of fish community dynamics, native fish restoration, and invasion biology extend back to the 1960s, or even earlier in some cases. These long-term time series represent a valuable resource for trying to identify the important factors regulating fish community dynamics, native fish restoration, and effects of invasives on the fish community. For bioenergetics modeling and contaminant accumulation in fish, the scientist’s focus is on the Laurentian Great Lakes. Nonetheless, for both bioenergetics modeling and contaminant accumulation in fish, the scientist’s scope of research is global, because the scientist examines results from studies around the world to advance our knowledge in both fields. Bioenergetics modeling can be applied to organisms and populations around the world. Analogously, fish from all areas of the globe accumulate environmental contaminants, such as mercury (Hg) and polychlorinated biphenyls (PCBs). The scientist collaborates with scientists and researchers both within the Laurentian Great Lakes basin and outside the basin, with most of the collaborations within the basin. Even so, collaborations have been forged with researchers across the United States, Canada, Europe, and China. Much of the funding received by the scientist is drawn from the base budget of the USGS Great Lakes Science Center (GLSC), because the GLSC has been mandated to maintain long-term surveys for fish communities in the Laurentian Great Lakes, and maintaining these surveys is part of the scientist’s assigned duties. Supplemental funding has been provided by the Great Lakes Fishery Commission, the Great Lakes Fishery Trust, the Great Lakes Fish and Wildlife Restoration Act, and the USGS Climate Adaptation Science Center.
Professional Experience
March 1995-present; Research Fishery Biologist; NBS/USGS Great Lakes Science Center. Duties: Research on prey fish dynamics, food web dynamics, lake trout population dynamics in Lakes Michigan and Huron, laboratory and field evaluations of fish bioenergetics models, using PCBs as a tracer of food consumption by fish, contaminant accumulation in fish, effects of invasives on food web dynamic
January 1992-March 1995; Research Fishery Biologist; USFWS/NBS Lake Erie Biological Station. Duties: Research on life-history characteristics, population dynamics, and stock-recruitment relationships of Lake Erie fishes; also bioenergetics modeling of zebra mussels and waterbirds.
1990-1991; Associate Researcher; Center for Limnology, University of Wisconsin. Duties: Research on variability in contaminant accumulation rates within populations of Lake Michigan salmonines, via individual-based modeling.
1989-1990; Postdoctoral Fellow; Center for Limnology, University of Wisconsin. Duties: Basic and applied research on variability in growth rates of age-0 walleyes (Sander vitreus), using individual-based modeling.
1988-1989; Associate Researcher; Hawaii Natural Energy Institute, University of Hawaii. Duties: Research on prediction of primary production and secondary production in artificial upwellings, via computer simulation modeling.
1983-1988; Graduate Research Assistant; Hawaii Institute of Marine Biology, University of Hawaii. Duties: Research on predicting overnight loss of dissolved oxygen from aquaculture ponds, using computer simulation modeling.
1980-1983; Research Associate; Great Lakes Research Division, University of Michigan. Duties: Research on the impact of the J. H. Campbell Power Plant and D. C. Cook Power Plant on fish populations in eastern Lake Michigan.
1978-1980; Research Assistant; Great Lakes Research Division, University of Michigan. Duties: Research on the impact of the J. H. Campbell Power Plant on fish populations in eastern Lake Michigan.
1977-1978; Research Assistant; University of Michigan. Duties: Research on time series analysis of fishery catch and effort.
1976-1977; Teaching Assistant; School of Natural Resources, University of Michigan. Duties: Assisted in teaching an introductory course on applied statistics.
Education and Certifications
Ph.D., Zoology, University of Hawaii, 1988.
M.S., Resource Ecology, University of Michigan, 1979.
B.S., Aquatic Biology (minor in mathematics), Rutgers University, 1975.
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Estimate of net trophic transfer efficiency of PCBs to Lake Michigan lake trout from their prey
Maturity schedules of lake trout in Lake Michigan
Ontogenic and spatial patterns in diet and growth of lake trout in Lake Michigan
Net trophic transfer efficiency of PCBs to Lake Michigan coho salmon from their prey
Sexual difference in polychlorinated biphenyl accumulation rates of walleye (Stizostedion vitreum)
Gillnet selectivity for lake trout (Salvelinus namaycush) in Lake Superior
First-year growth, recruitment, and maturity of walleyes in western Lake Erie
Waterbird predation on fish in western Lake Erie: a bioenergetics model application
Removal of algae by the zebra mussel (Dreissena polymorpha) population in western Lake Erie: a bioenergetics approach
Fisheries management to reduce contaminant consumption
Effect of gear selectivity on recommended allowable harvest with application to the Lake Erie yellow perch fishery
Use of a simulation model to reconstruct PCB concentrations in prey of Lake Ontario lake trout
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Filter Total Items: 161Estimate of net trophic transfer efficiency of PCBs to Lake Michigan lake trout from their prey
Most of the polychlorinated biphenyl (PCB) body burden accumulated by lake trout (Salvelinus namaycush) from the Laurentian Great Lakes is from their food. We used diet information, PCB determinations in both lake trout and their prey, and bioenergetics modeling to estimate the efficiency with which Lake Michigan lake trout retain PCBs from their food. Our estimates were the most reliable estimateAuthorsCharles P. Madenjian, Robert J. Hesselberg, Timothy J. Desorcie, Larry J. Schmidt, Ralph M. Stedman, Richard T. Quintal, Linda J. Begnoche, Dora R. Passino-ReaderMaturity schedules of lake trout in Lake Michigan
We determined maturity schedules of male and female lake trout (Salvelinus namaycush) in Lake Michigan from nearshore populations and from an offshore population on Sheboygan Reef, which is located in midlake. Gill nets and bottom trawls were used to catch lake trout in fall 1994 and 1995 from two nearshore sites and Sheboygan Reef. Each lake trout was judged immature or mature, based on visual exAuthorsCharles P. Madenjian, Timothy J. Desorcie, Ralph M. StedmanOntogenic and spatial patterns in diet and growth of lake trout in Lake Michigan
Lake trout Salvelinus namaycush in nearshore waters of Lake Michigan grow faster than lake trout residing offshore on Sheboygan Reef, which is in midlake. We examined the stomachs of lake trout, spanning ages 1 through 16, caught in both nearshore and offshore environments of Lake Michigan during 1994 and 1995 to determine whether diet differences may be responsible for the difference in growth rAuthorsCharles P. Madenjian, Timothy J. Desorcie, Ralph M. StedmanNet trophic transfer efficiency of PCBs to Lake Michigan coho salmon from their prey
Most of the polychlorinated biphenyl (PCB) body burden accumulated by coho salmon (Oncorhynchus kisutch) from the Laurentian Great Lakes is from their food. We used diet information, PCB determinations in both coho salmon and their prey, and bioenergetics modeling to estimate the efficiency with which Lake Michigan coho salmon retain PCBs from their food. Our estimate was the most reliable estimatAuthorsCharles P. Madenjian, Robert F. Elliott, Larry J. Schmidt, Timothy J. Desorcie, Robert J. Hesselberg, Richard T. Quintal, Linda J. Begnoche, Patrick M. Bouchard, Mark E. HoleySexual difference in polychlorinated biphenyl accumulation rates of walleye (Stizostedion vitreum)
Adult male walleye (Stizostedion vitreum) exhibited significantly higher polychlorinated biphenyl (PCB) concentrations than similarly aged female walleye from Saginaw Bay (Lake Huron). To explain this difference, we tested the following three hypotheses: (i) females showed a considerably greater reduction in PCB concentration immediately following spawning than males, (ii) females grew at a fasteAuthorsCharles P. Madenjian, George E. Noguchi, Robert C. Haas, Kathrin S. SchrouderGillnet selectivity for lake trout (Salvelinus namaycush) in Lake Superior
Gillnet selectivity for lake trout (Salvelinus namaycush) was estimated indirectly from catches in nets of 102-, 114-, 127-, 140-, and 152-mm stretch measure. Mesh selectivity was modeled as a nonlinear response surface that describes changes in the mean, standard deviation, and skewness of fish lengths across mesh sizes. Gillnet selectivity for lake trout was described by five parameters that expAuthorsMichael J. Hansen, Charles P. Madenjian, James H. Selgeby, Thomas E. HelserFirst-year growth, recruitment, and maturity of walleyes in western Lake Erie
In some lakes, first-year growth of walleyes Stizostedion vitreum has been identified as an important factor governing recruitment of juveniles to the adult population. We developed a regression model for walleye recruitment in western Lake Erie by considering factors such as first-year growth, size of the spawning stock, the rate at which the lake warmed during the spring, and abundance of gizzarAuthorsCharles P. Madenjian, Jeffrey T. Tyson, Roger L. Knight, Mark W. Kershner, Michael J. HansenWaterbird predation on fish in western Lake Erie: a bioenergetics model application
To better understand the role of piscivorous waterbirds in the food web of western Lake Erie, we applied a bioenergetics model to determine their total fish consumption, The important nesting species included the Herring Gull (Larus argentatus), Ring-billed Gull (L. delawarensis), Double-crested Cormorant (Phalacrocorax auritus), Great Blue Heron (Ardea herodias), Black-crowned Night-Heron (NycticAuthorsCharles P. Madenjian, Steven W. GabreyRemoval of algae by the zebra mussel (Dreissena polymorpha) population in western Lake Erie: a bioenergetics approach
A bioenergetics model for growth of a zebra mussel (Dreissena polymorpha) individual was verified with observations on zebra mussel growth in western Lake Erie. The bioenergetics model was then applied to the zebra mussel population in the western basin of Lake Erie to estimate the removal of phytoplankton by mussels. According to the modeling results, the zebra mussel population consumed 5.0 millAuthorsCharles P. MadenjianFisheries management to reduce contaminant consumption
This paper concludes that contaminants in Lake Michigan fishes are likely to remain above detectable levels for some time. Some interest groups have called for measures ranging from additional effluent controls to a ban on the industrial use of chlorine. Such measures, however well intended, are likely to have little impact on many of the contaminants of primary concern. PCBs, in particular, are lAuthorsCraig A. Stow, Stephen R. Carpenter, Charles P. Madenjian, Lisa A. Eby, Leland J. JacksonEffect of gear selectivity on recommended allowable harvest with application to the Lake Erie yellow perch fishery
Because the 57-mm-mesh gill net is the predominant gear in the Lake Eric fishery for yellow perch Perca flavescens, gear selectivity is an important factor operating in that fishery. The selectivity curve for age-groups 2–6 is roughly symmetrical with peak vulnerability at age 4; younger and older perch are substantially less susceptible to the gear. The Beverton-Holt yield-per-recruit and RickerAuthorsCharles P. Madenjian, Philip A. RyanUse of a simulation model to reconstruct PCB concentrations in prey of Lake Ontario lake trout
No abstract available.AuthorsCharles P. Madenjian, Michael D. Whittle, Joseph H. Elrod, Robert O'Gorman, Randall W. Owens - News