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Stephen P. Ellner

Researcher at Cornell University

Publications -  220
Citations -  18837

Stephen P. Ellner is an academic researcher from Cornell University. The author has contributed to research in topics: Population & Predation. The author has an hindex of 73, co-authored 202 publications receiving 17239 citations. Previous affiliations of Stephen P. Ellner include University of Cambridge & Hebrew University of Jerusalem.

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Journal ArticleDOI

Rapid evolution drives ecological dynamics in a predator–prey system

TL;DR: It is reported that rapid prey evolution in response to oscillating predator density affects predator–prey (rotifer–algal) cycles in laboratory microcosms, and that attempts to understand population oscillations in nature cannot neglect potential effects from ongoing rapid evolution.
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Rapid evolution and the convergence of ecological and evolutionary time

TL;DR: This work proposes that rapid evolution be defined as a genetic change occurring rapidly enough to have a measurable impact on simultaneous ecological change, and proposes a framework for decomposing rates of ecological change into components driven by simultaneous evolutionary change and by change in a non-evolutionary factor.
Book ChapterDOI

Coexistence of plant species with similar niches

TL;DR: A model based on the dynamics of species turnover in microsites, and incorporates localized competition, non-uniform seed dispersal and aspects of spatiotemporal environmental heterogeneity allow stable coexistence of trophically equivalent species.
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Size-specific sensitivity: applying a new structured population model

TL;DR: In this article, the authors introduced the integral projection model, which eliminates the need for division into discrete classes, without requiring any additional biological assumptions and provides estimates of the asymptotic growth rate, stable size distribution, reproductive values, and sensitivities of the growth rate to changes in vital rates.
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Integral projection models for species with complex demography.

TL;DR: A general model encompassing these cases, numerical methods, and theoretical results, including stable population growth and sensitivity/elasticity analysis for density‐independent models, local stability analysis in density‐dependent models, and optimal/evolutionarily stable strategy life‐history analysis are presented.