I am interested in
the a wide variety of equations that define
dynamical (or semi-dynamical) systems, including difference equations,
matrix equations, ordinary and partial differential
equations, integro-difference equations, and functional
delay equations. My work focuses on asymptotic dynamics, i.e. stability
analysis, bifurcation analysis, oscillations, periodic solutions
(forced
or unforced), aperiodic dynamics and chaos. My research is motivated
by applications to ecology and population dynamics. Current research
topics of interest include: the modeling and
analysis of
competitive
interactions among structured populations; the dynamics of semelparous
populations; population dynamics in periodically fluctuating
environments and with periodically fluctuation vital rates; inhibited
(arrested) maturation due to density effects; the adaptation and
evolution
of pheotypic traits (for example, the evolution of competitive
coexistence versus exclusion);
spatial patterns formed by density dependent dispersal in
populations with life cycle stages; and the modeling of animal
behavior.
Current
collaborators include Tom
Vincent and Bob
Costantino on applications of evolutionary game
theory and Shandelle Henson,
Jim
Haywood and Joe
Galusha on the dynamics of seabird behavior ( the Seabird EcologyTeam
). For many years I collaborated an
interdisciplinary team biologists and statisticians (see the Beetle Team ).
The scope of that work included: the derivation of mathematical models
(deterministic
and stochastic), the study of the models (both analytical and numerical
with the aid of computers), parameter estimation and model validation
using laboratory data, and the design and implementation of
laboratory experiments. The over all
goal of this work is to show convincingly the value and explanatory
power of nonlinear dynamical models for describing and understanding
problems in population dynamics and ecology. This goal is addressed by
means of carefully derived, biologically based models; carefully
designed laboratory experiments; the thorough statistical analysis of
gathered data; and rigorous model verification. The first phases of
this
work were published (and featured in the News & Views
section) of the journal Nature, May 1995. Experiments designed
to demonstrate, for the first time, that chaos is possible in
biological
populations have been completed and were reported in Science,
January, 1997. A thorough study of this experiment appears in Ecological
Monographs 71, No. 2 (2001), 277-303. Follow up
theoretical and laboratory work is explored other,
sometimes subtle, nonlinear phenomena (Science
294 (19 Oct
2001), 602-605, and Proceedings of
the National Academy of Sciences 101, No. 1
(2003), 408-413). This includes the effect of
saddle nodes on the dynamics of populations, demographic stochasticity
and habitat size, and latticized phase space. Related studies include
resonance effects and
multi-attractors in periodically fluctuating habitats (see the 29
November 1997 issue of the New Scientist) and competitive
interactions (Journal of Animal
Ecology 72 (2003), 703-712).
Chaos in Ecology: Experimental Nonlinear Dynamics by J. M. Cushing, R. F. Costantino, B. Dennis, R. A. Desharnais, S. M. Henson, Academic Press, 2003
Matrix
Population Models: Construction, Analysis, and
Interpretation (Second Edition) by Hal Caswell, Sinauer
Associates
Inc., 2001
Self-Organization
in Complex Ecosystems by Recard V. Solé and Jordi
Bascompte, Princeton University Press, Princeton, New Jersey, 2006
Stability in
Model Populations by Laurence D. Mueller and Amitabh Joshi,
Monographs in Population Biology 31, Princeton University Press,
Princeton, New Jersey, 2000
What's Happening
in the Mathematical Sciences 1998-1999 by
Barry Cipra, published by the American Mathematical Society (ISBN
0-8218--0766-8)
Boom time for beetles by Jonathan Knight, New Scientist, 29
November 1997
Chaotic Bugs Make the Leap from Theory to Experiment by Barry Cipra, SIAM NEWS, July/August 1997
Chaotic beetles by H. C. Godfray and M. P. Hassell, Science 275 (1997)
Chaos in a cup of flour by P. Rohani and D.J.D. Earn, Trends in Ecology and Evolution 12 (1997)
Predicting and producing chaos by P. Kareiva, Nature 375 (1995)
J.
M.
Cushing / Department
of Mathematics
/ Program
in Applied Mathematics / University
of Arizona / Tucson, AZ 85721-0089
(revised 1 January 2008)
Copyright © 2000