Eric A. Eager, Ph.D.
Affiliations: | 2012 | Mathematics | The University of Nebraska - Lincoln, Lincoln, NE |
Area:
Mathematics, Ecology BiologyGoogle:
"Eric Eager"Parents
Sign in to add mentor| Richard Rebarber | grad student | 2012 | University of Nebraska - Lincoln | |
| (Modeling and mathematical analysis of plant models in ecology.) | ||||
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Publications
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| Callahan J, Eager E, Rebarber R, et al. (2021) Correction to: Analysis of a Length-Structured Density-Dependent Model for Fish. Bulletin of Mathematical Biology. 83: 84 |
| Callahan J, Eager E, Rebarber R, et al. (2019) Analysis of a Length-Structured Density-Dependent Model for Fish. Bulletin of Mathematical Biology |
| Erickson RA, Eager EA, Kocovsky PM, et al. (2018) A spatially discrete, integral projection model and its application to invasive carp Ecological Modelling. 387: 163-171 |
| Eager EA, Pilson D, Alexander HM, et al. (2017) Assessing the Influence of Temporal Autocorrelations on the Population Dynamics of a Disturbance Specialist Plant Population in a Random Environment. The American Naturalist. 190: 570-583 |
| Haider HS, Oldfield SC, Tu T, et al. (2017) Incorporating Allee effects into the potential biological removal level Natural Resource Modeling. 30: e12133 |
| Erickson RA, Eager EA, Brey MK, et al. (2017) An integral projection model with YY-males and application to evaluating grass carp control Ecological Modelling. 361: 14-25 |
| Erickson RA, Gray BR, Eager EA. (2017) Estimating linear temporal trends from aggregated environmental monitoring data Ecological Indicators. 74: 62-72 |
| Eager EA, Rebarber R. (2016) Sensitivity and elasticity analysis of a Lur'e system used to model a population subject to density-dependent reproduction. Mathematical Biosciences |
| Eager EA. (2016) Modelling and analysis of population dynamics using Lur’e systems accounting for competition from adult conspecifics Letters in Biomathematics. 3: 41-58 |
| Erickson RA, Eager EA, Stanton JC, et al. (2015) Assessing local population vulnerability with branching process models: An application to wind energy development Ecosphere. 6 |