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Michael J. Cyterski
Biographical Information
Name: Michael J. Cyterski
Title: Research Ecologist
Contact Information:
Phone: 706.355.8142
Fax: 706.355.8104
Email: cyterski.mike@epa.gov
Education:
B.A. Biology, Harvard University
M.S. Fisheries, University of Minnesota
M.S. Statistics, Virginia Polytechnic Institute and State University
Ph.D. Fisheries, Virginia Polytechnic Institute and State University
Before coming to the EPA in August of 1999, Dr. Cyterski's research focused on the response of fish communities to commercial and/or recreational exploitation. Population dynamics of piscivores and their prey also figured prominently into his professional endeavors. During his first two years with ERD Athens, Dr. Cyterski focused on characterizing the hydrology of the Contentnea river basin in North Carolina using HSPF, the Hydrologic Simulation Program - Fortran. He also used HSPF to investigate the transport of sediments and nutrients from the land surface into streams in this watershed. In November 2001, he adopted a new position at ERD as a quantitative fish ecologist. Initially he worked to develop models that examined the impact of stressors on coastal habitats that are critical for maintaining healthy estuarine communities. One such model related various habitat types to the abundance of juvenile blue crab along the southeastern Atlantic coast. Another aspect of this research was to determine the impact of nutrient and sediment inputs on submerged aquatic vegetation in estuaries, and how losses of this important habitat will affect societally important fisheries species like blue crab, paenied shrimp, and certain species of finfish. In 2003 and 2004, Dr. Cyterski was involved in the development of automated watershed assessment tools for the Canaan Valley Institute and various other clients in the Mid-Atlantic Highlands region of the U.S. His contributed component allows a user to predict what species of fish are most likely to be found in a stream of interest based on characteristics of the stream and its associated watershed. Easy access to his calculator can be found on the Canaan Valley Institute's website at:
http://www.canaanvi.org/wscalc/frmMainTools.aspx.Dr. Cyterski also has a continued interest in applying uncertainty analyses to complex environmental models.
Professional Activities:
Member, American Fisheries Society
Manuscript Reviewer, American Fisheries Society
Virginia Tech Chapter of the American Fisheries Society, Former President
Southern Division of the American Fisheries Society, Former Newsletter Editor
Recent Publications:
- Cyterski, M., and J. Ney. In Press. Availability of clupeid prey to primary piscivores in Smith Mountain Lake, Virginia. Transactions of the American Fisheries Society.
- Knightes, C. and M. Cyterski. In Press. Evaluating the predictive errors of a complex environmental model using a general linear model. Ecological Modeling.
- Sutton, T., M. Cyterski, J. Ney, and M. Duval. 2004. Determination of factors influencing stomach content retention by striped bass captured using gillnets. Journal of Fish Biology 64: 903-910.
- Cyterski, M., J. Ney, and M. Duval. 2003. Estimation of surplus biomass of clupeids in Smith Mountain Lake, Virginia. Transactions of the American Fisheries Society 132: 361-370.
- Cyterski, M., J. Ney, and M.C. Duval. 2002. Predator Demand for Clupeid Prey in Smith Mountain Lake, Virginia. Fisheries Research. 1337: 1-16.
- Cyterski, M. and J. Ney. 1997. Factors Affecting the Utilization of Gizzard Shad by Sportfishes in Two Virginia Reservoirs. Virginia Journal of Science. 48(2):116.
- Cyterski, M. and G. Spangler. 1996. Development and Utilization of a Population Growth History of Red Lake Walleye. Environmental Biology of Fishes 53: 545-559.
- Cyterski, M. and G. Spangler. 1996. A Tool for Age Determination. North American Journal of Fisheries Management 16(2): 403-412.
- Ogle, D., R. Pruitt, G. Spangler, and M. Cyterski. 1997. A Bayesian Approach to Assigning Probabilities to Fish Ages Determined from Temporal Signatures in Growth Increments. Canadian Journal of Fisheries and Aquatic Sciences 53(8):1788-1794.
Current Projects:
- Develop predictive relationships between biotic endpoints and landscape characteristics
- Automated uncertainty analyses of complex environmental models
- Statistical manipulation of complex environmental datasets