T
Thomas J. Miller
Researcher at University of Maryland Center for Environmental Science
Publications - 90
Citations - 5497
Thomas J. Miller is an academic researcher from University of Maryland Center for Environmental Science. The author has contributed to research in topics: Population & Callinectes. The author has an hindex of 35, co-authored 90 publications receiving 5164 citations. Previous affiliations of Thomas J. Miller include McGill University & Chesapeake Biological Laboratory.
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Journal ArticleDOI
Larval Size and Recruitment Mechanisms in Fishes: Toward a Conceptual Framework
TL;DR: A large number of mechanisms controlling recruitment in fishes are unknown and the literature on recruitment mechanisms is large and growing rapidly, but it is unclear how these mechanisms are influenced by environmental influences.
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Estimation and analysis of biological parameters in elasmobranch fishes: a comparative life history study
TL;DR: The von Bertalanffy parame- ters asymptotic length and growth rate, and natural mortality and maximum age were used to de- scribe the life-history strategies of elasmobranch fishes and it was found that the M/k ratio in elasmOBranchs is significantly different from those for other fish and reptile taxa.
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Evidence for a dome-shaped relationship between turbulence and larval fish ingestion rates
TL;DR: An analytical model is developed that shows the overall probability of feeding is a dome-shaped function of turbulent velocity and that the height and location of the maxima depend on turbulence level and the behavioral characteristics of predator and prey.
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Growth Rate Variation and Larval Survival: Inferences from an Individual-Based Size-Dependent Predation Model
James A. Rice,Thomas J. Miller,Kenneth A. Rose,Larry B. Crowder,Elizabeth A. Marschall,Anett S. Trebitz,Donald L. DeAngelis +6 more
TL;DR: An individual-based Monte Carlo simulation model was used to explore how changes in the mean and variance of growth rates of individuals in a larval fish cohort interact with size-dependent predatio...
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Contribution of individual-based coupled physical-biological models to understanding recruitment in marine fish populations
TL;DR: An increase in the frequency of hypothe- sis-generating applications of coupled physical-biological models may be expected over time as the field matures and refinements to both the physical and biological processes included in the models are made.