Research Topics
| S P EllnerSummaryAffiliation: Cornell University Country: USA Publications
| Collaborators
|
Detail Information
Publications
Temporally variable dispersal and demography can accelerate the spread of invading speciesStephen P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853 2701, USA
Theor Popul Biol 82:283-98. 2012..Temporal variability in dispersal has received very little attention in both the theoretical and empirical literature on invasive species spread. Our results suggest that this needs to change...
Stochastic stable population growth in integral projection models: theory and applicationStephen P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
J Math Biol 54:227-56. 2007..These results strongly suggest that the flowering strategy in O. illyricum is an adaptation to random between-year variation in vital rates...
Within-host disease ecology in the sea fan Gorgonia ventalina: modeling the spatial immunodynamics of a coral-pathogen interactionStephen P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York 14853, USA
Am Nat 170:E143-61. 2007..g., ocean warming, nutrient enrichment) on aspergillosis prevalence and severity and for the observed high spatial and between-host variability in disease impacts...
Integral projection models for species with complex demographyStephen P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, 24853, USA
Am Nat 167:410-28. 2006..The online edition of the American Naturalist includes a zip archive of R scripts illustrating our suggested methods.A zip archive of R scripts illustrating our suggested methods is also provided...
Commentary on Holmes et al. (2007): resolving the debate on when extinction risk is predictableStephen P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853 2701, USA
Ecol Lett 11:E1-5. 2008..imprecise). This allows PVA practitioners to define the prediction interval and threshold regions of safety (low risk with high confidence), danger (high risk with high confidence), and uncertainty...
Pair approximation for lattice models with multiple interaction scalesS P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, E145 Corson Hall, Ithaca, NY 14853 2701, USA
J Theor Biol 210:435-47. 2001..The multiscale pair approximation thus provides a useful intermediate between the standard pair approximation for a single interaction neighborhood, and a complete set of moment equations for more spatially detailed models...
Habitat structure and population persistence in an experimental communityS P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York 14853 2701, USA
Nature 412:538-43. 2001..Rather, habitat structure reduced the success of predators at locating prey outbreaks, allowing between-plant asynchrony of local population cycles due to random colonization events...
Does rapid evolution matter? Measuring the rate of contemporary evolution and its impacts on ecological dynamicsStephen P Ellner
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca NY 14853 2701, USA
Ecol Lett 14:603-14. 2011..Paradoxically, rapid evolution may be most important when it is least evident...
Rapid evolution drives ecological dynamics in a predator-prey systemTakehito Yoshida
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
Nature 424:303-6. 2003..These results confirm that prey evolution can substantially alter predator-prey dynamics, and therefore that attempts to understand population oscillations in nature cannot neglect potential effects from ongoing rapid evolution...
Rapid contemporary evolution and clonal food web dynamicsLaura E Jones
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853 2701, USA
Philos Trans R Soc Lond B Biol Sci 364:1579-91. 2009....
Cryptic population dynamics: rapid evolution masks trophic interactionsTakehito Yoshida
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, United States of America
PLoS Biol 5:e235. 2007..Modeling suggests that rapid evolution may also confound experimental approaches to measuring interaction strength, but it identifies certain experimental designs as being more robust against potential confounding by rapid evolution...
Ecology: mechanisms for consumer diversityTakehito Yoshida
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York 14853 2701, USA
Nature 439:E1-2; discussion E2. 2006..Here we confirm this possibility by using a simple mathematical model and suggest that more than one mechanism may account for the maintenance of genetic diversity observed by Nelson et al. in their system...
Evolutionary tradeoff and equilibrium in an aquatic predator-prey systemLaura E Jones
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
Bull Math Biol 66:1547-73. 2004..Finally, we posit some simple experiments to verify our prediction that evolution can have significant qualitative effects on observed population-level responses to changing conditions...
Evolutionary trade-off between defence against grazing and competitive ability in a simple unicellular alga, Chlorella vulgarisTakehito Yoshida
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
Proc Biol Sci 271:1947-53. 2004..This genetic variation underlies rapid algal evolution that significantly alters the ecological predator-prey cycles between rotifers and algae...
Understanding rapid evolution in predator‐prey interactions using the theory of fast‐slow dynamical systemsMichael H Cortez
Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, USA
Am Nat 176:E109-27. 2010....
Effects of rapid prey evolution on predator-prey cyclesLaura E Jones
Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
J Math Biol 55:541-73. 2007..Finally, some of our key results are extended to a general model in which functional forms for the predation rate and prey birth rate are not specified...
Reduction of adaptive genetic diversity radically alters eco-evolutionary community dynamicsLutz Becks
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
Ecol Lett 13:989-97. 2010..Our results show how small changes in the amount of adaptive genetic variance initially present can radically alter eco-evolutionary dynamics, and can ultimately determine whether heritable variation is maintained or lost...
Prey evolution on the time scale of predator-prey dynamics revealed by allele-specific quantitative PCRJustin R Meyer
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
Proc Natl Acad Sci U S A 103:10690-5. 2006..We used AsQ-PCR to confirm this prediction: the superior competitor dominated initially, but as rotifer densities increased, the more predator-resistant clone predominated...
Crossing the hopf bifurcation in a live predator-prey systemG F Fussmann
Department of Ecology and Evolutionary Biology, Corson Hall, Cornell University, Ithaca, NY 14853, USA
Science 290:1358-60. 2000..The qualitative dynamical behavior of our experimental system, that is, cycles, equilibria, and extinction, is highly predictable by a simple nonlinear model...
How microbial community composition regulates coral disease developmentJustin Mao-Jones
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, United States of America
PLoS Biol 8:e1000345. 2010....
Why animals lie: how dishonesty and belief can coexist in a signaling systemJonathan T Rowell
Center for Applied Mathematics, Cornell University, Ithaca, New York 14853, USA
Am Nat 168:E180-204. 2006..We suggest future theoretical directions to make the models more general and propose some possible experimental tests...
Evolution of size-dependent flowering in a variable environment: construction and analysis of a stochastic integral projection modelDylan Z Childs
Department of Biological Sciences, NERC Centre for Population Biology, Imperial College, Silwood Park, Ascot SL5 7PY, UK
Proc Biol Sci 271:425-34. 2004..We prove the existence of a unique stochastic growth rate, lambda(s), which is independent of the initial population vector, and show that Tuljapurkar's perturbation analysis for log(lambda(s)) can be used to calculate elasticities...
Evolution as a critical component of plankton dynamicsGregor F Fussmann
Institut für Biochemie und Biologie, Universitat Potsdam, Maulbeerallee 2, D 14469 Potsdam, Germany
Proc Biol Sci 270:1015-22. 2003..We suggest that a similar amalgam of ecological and evolutionary mechanisms may drive the dynamics of rapidly reproducing organisms in the wild...
Pair-edge approximation for heterogeneous lattice population modelsNikkala A Thomson
Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
Theor Popul Biol 64:271-80. 2003..Conversely, the situations where the approximation is less accurate reveals limitations of pair approximation in the presence of spatial heterogeneity...
Chaos in a long-term experiment with a plankton communityElisa Benincà
Aquatic Microbiology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Nieuwe Achtergracht 127, 1018 WS Amsterdam, The Netherlands
Nature 451:822-5. 2008..This implies that stability is not required for the persistence of complex food webs, and that the long-term prediction of species abundances can be fundamentally impossible...
Evolution of complex flowering strategies: an age- and size-structured integral projection modelDylan Z Childs
Department of Biological Sciences, Imperial College, Silwood Park, Ascot SL5 7PY, UK
Proc Biol Sci 270:1829-38. 2003..Results proving the existence of a dominant eigenvalue and its associated eigenvectors in general size- and age-dependent integral projection models are presented...
Energy storage and the evolution of population dynamicsKyle W Shertzer
Center for Coastal Fisheries and Habitat Research, National Oceanic and Atmospheric Administration, 101 Pivers Island Road, Beaufort, NC 28516 USA
J Theor Biol 215:183-200. 2002..With the evolution of energy storage, population dynamics can shift from aperiodic to stable cycles without any need to invoke group selection...
