Simeon Yurek, Ph.D.
Simeon Yurek is a Research Ecologist at the USGS Wetland and Aquatic Research Center.
RESEARCH INTERESTS:
Identifying optimal strategies for restoration decision making and adaptation planning in coastal areas, given uncertainty in environmental conditions and risk tolerance of decision makers
Ecological modeling of hydrologically pulsed ecosystems with complex geomorphology, dynamic food webs, animal movement, and predator-prey systems
Ensemble-style modeling of alternative scenarios of biophysical and ecological conditions and management decision making, with a goal of predicting ecological outcomes and identifying tradeoffs and risks associated with ecosystem services of interest
Science and Products
Spatially explicit modeling in ecology: A review
Persistence and diversity of directional landscape connectivity improves biomass pulsing in expanding and contracting wetlands
Equation-free modeling unravels the behavior of complex ecological systems
Proposed best modeling practices for assessing the effects of ecosystem restoration on fish
Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
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Filter Total Items: 17
Spatially explicit modeling in ecology: A review
The use of spatially explicit models (SEMs) in ecology has grown enormously in the past two decades. One major advancement has been that fine-scale details of landscapes, and of spatially dependent biological processes, such as dispersal and invasion, can now be simulated with great precision, due to improvements in computer technology. Many areas of modeling have shifted toward a focus on capturiAuthorsDonald L. DeAngelis, Simeon YurekPersistence and diversity of directional landscape connectivity improves biomass pulsing in expanding and contracting wetlands
In flood-pulsed ecosystems, hydrology and landscape structure mediate transfers of energy up the food chain by expanding and contracting in area, enabling spatial expansion and growth of fish populations during rising water levels, and subsequent concentration during the drying phase. Connectivity of flooded areas is dynamic as waters rise and fall, and is largely determined by landscape geomorphoAuthorsSimeon Yurek, Donald L. DeAngelis, Joel C. Trexler, Stephen Klassen, Laurel G. LarsenEquation-free modeling unravels the behavior of complex ecological systems
Ye et al. (1) address a critical problem confronting the management of natural ecosystems: How can we make forecasts of possible future changes in populations to help guide management actions? This problem is especially acute for marine and anadromous fisheries, where the large interannual fluctuations of populations, arising from complex nonlinear interactions among species and with varying envirAuthorsDonald L. DeAngelis, Simeon YurekProposed best modeling practices for assessing the effects of ecosystem restoration on fish
Large-scale aquatic ecosystem restoration is increasing and is often controversial because of the economic costs involved, with the focus of the controversies gravitating to the modeling of fish responses. We present a scheme for best practices in selecting, implementing, interpreting, and reporting of fish modeling designed to assess the effects of restoration actions on fish populations and aquaAuthorsKenneth A Rose, Shaye Sable, Donald L. DeAngelis, Simeon Yurek, Joel C. Trexler, William L. Graf, Denise J. ReedSimulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats
Movement strategies of small forage fish (AuthorsSimeon Yurek, Donald L. DeAngelis, Joel C. Trexler, Fred Jopp, Douglas D. DonalsonNon-USGS Publications**
McManus, L.C., Yurek, S., Teare, P.B., Dolan, T.E. and Serafy, J.E., 2014. Killifish habitat suitability as a measure of coastal restoration performance: integrating field data, behavioral trials and simulation. Ecological Indicators, 44, pp.173-181.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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