J. M. Cushing

ORCID: 0000-0003-1844-661X
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About
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Research Areas
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Evolution and Genetic Dynamics
  • Evolutionary Game Theory and Cooperation
  • Animal Ecology and Behavior Studies
  • Ecosystem dynamics and resilience
  • Plant and animal studies
  • Ecology and Vegetation Dynamics Studies
  • Differential Equations and Numerical Methods
  • Animal Behavior and Reproduction
  • Nonlinear Dynamics and Pattern Formation
  • Mathematical Biology Tumor Growth
  • Avian ecology and behavior
  • Nonlinear Differential Equations Analysis
  • Differential Equations and Boundary Problems
  • Stochastic processes and statistical mechanics
  • Advanced Differential Equations and Dynamical Systems
  • Advanced Mathematical Modeling in Engineering
  • Advanced Thermodynamics and Statistical Mechanics
  • Soil and Environmental Studies
  • Nonlinear Partial Differential Equations
  • advanced mathematical theories
  • COVID-19 epidemiological studies
  • Chaos control and synchronization
  • Marine and fisheries research
  • Matrix Theory and Algorithms

University of Arizona
2014-2024

Northeastern University
2017

Applied Mathematics (United States)
1992-2016

University of Utah
2009

U.S. National Science Foundation
2005

United States Military Academy
2005

Veterans Health Administration
2004

University of Tennessee at Knoxville
2003

Andrews University
2003

William & Mary
2002

1: Introductory Remarks.- 2: Some Preliminary Remarks on Stability.- 2.1 Linearization.- 2.2 Autonomous Linear Systems.- 3: Stability and Delay Models for a Single Species.- 3.1 Logistic Equations.- 3.2 The Equation with Constant Time Lag.- 3. 3 Other Models.- 3.4 General Results.- 3.5 A Instability Result.- 3.6 Stabilizing Effect of Delays.- 4: Multi-Species Interactions 4.1 Volterra's Predator-Prey Model 4. 2 Density Terms.- 4.3 Response Delays to Resource Limitation.- 4.4...

10.2307/2344498 article EN Journal of the Royal Statistical Society Series A (General) 1978-01-01

We present an ordinary differential equation mathematical model for the spread of malaria in human and mosquito populations. Susceptible humans can be infected when they are bitten by infectious mosquito. They then progress through exposed, infectious, recovered classes, before reentering susceptible class. mosquitoes become bite or humans, once move exposed classes. Both species follow a logistic population model, with having immigration disease‐induced death. define reproductive number,...

10.1137/050638941 article EN SIAM Journal on Applied Mathematics 2006-01-01

A nonlinear demographic model was used to predict the population dynamics of flour beetle Tribolium under laboratory conditions and establish experimental protocol that would reveal chaotic behavior. With adult mortality rate experimentally set high, animal abundance changed from equilibrium quasiperiodic cycles chaos as adult-stage recruitment rates were manipulated. These transitions in corresponded those predicted by mathematical model. Phase-space graphs data together with deterministic...

10.1126/science.275.5298.389 article EN Science 1997-01-17

The general system of differential equations describing predator-prey dynamics is modified by the assumption that coefficients are periodic functions time. By use standard techniques bifurcation theory, as well a recent global result Rabinowitz, it shown this has solution (in place an equilibrium) provided long term time average, predator’s net, unihibited death rate in suitable range. from time-dependent logistic equation for prey (which results absence any predator). Numerical which...

10.1137/0132006 article EN SIAM Journal on Applied Mathematics 1977-01-01

An important component of the mathematical definition chaos is sensitivity to initial conditions. Sensitivity conditions usually measured in a deterministic model by dominant Lyapunov exponent (LE), with indicated positive LE. The measure has been extended stochastic models; however, it possible for (SLE) be when LE underlying negative, and vice versa. This occurs because long‐term average over attractor while SLE stationary probability distribution. property conditions, uniquely associated...

10.1034/j.1600-0706.2003.12387.x article EN Oikos 2003-07-04

Our approach to testing nonlinear population theory is connect rigorously mathematical models with data by means of statistical methods for time series. We begin deriving a biologically based demographic model. The analysis identifies boundaries in parameter space where stable equilibria bifurcate periodic 2—cycles and aperiodic motion on invariant loops. analysis, stochastic version the model, provides procedures estimation, hypothesis testing, model evaluation. Experiments using flour...

10.2307/2937060 article EN Ecological Monographs 1995-08-01

Introduction. Models. Bifurcations. Chaos. Patterns in What We Learned. Bibliography. Appendix.

10.5860/choice.40-5213 article EN Choice Reviews Online 2003-05-01

A defining hypothesis of theoretical ecology during the past century has been that population fluctuations might largely be explained by relatively low-dimensional, nonlinear ecological interactions, provided such interactions could correctly identified and modeled. The realization in recent decades result chaos other exotic dynamic behaviors exciting but tantalizing, attributing a particular real to complex dynamics mathematical model proved an elusive goal. We experimentally tested...

10.1890/0012-9615(2001)071[0277:ecacdi]2.0.co;2 article EN Ecological Monographs 2001-05-01

A difference equation model, called that Leslie/Gower played a key historical role in laboratory experiments helped establish the "competitive exclusion principle" ecology. We show this model has same dynamic scenarios as famous Lotka/Volterra (differential equation) competition model. It is less well known some anomalous results from seem to contradict principle and dynamics. give an example of non-Lotka/Volterra dynamics are consistent with case.

10.1080/10236190410001652739 article EN The Journal of Difference Equations and Applications 2004-08-09

The net reproductive value n is defined for a general discrete linear population model with non‐negative projection matrix. This number shown to have the biological interpretation of expected offspring per individual over its life time. main result relates population's growth rate (i.e. dominant eigenvalue λ matrix) and shows that stability extinction state (the trivial equilibrium) can be determined by whether less than or greater 1. Examples are given show explicit algebraic formulas often...

10.1111/j.1939-7445.1994.tb00188.x article EN Natural Resource Modeling 1994-09-01

10.1007/bf00276097 article EN Journal of Mathematical Biology 1980-12-01

10.1007/bf01832847 article EN Journal of Mathematical Biology 1982-06-01

10.1016/j.jtbi.2016.06.017 article EN Journal of Theoretical Biology 2016-06-18

1. We experimentally set adult mortality rates, μ a , in laboratory cultures of the flour beetle Tribolium at values predicted by biologically based, nonlinear mathematical model to place regions different asymptotic dynamics. 2. Analyses time-series residuals indicated that stochastic stage-structured described data quite well. Using and maximum-likelihood parameter estimates, stability boundaries bifurcation diagrams were calculated for two genetic strains. 3. The transitions dynamics...

10.2307/5923 article EN Journal of Animal Ecology 1997-09-01

has a unique positive equilibrium K and all solutions with x0 . 0 approach as t !1: This equation (known the Beverton–Holt equation) arises in applications to population dynamics, that context is “carrying capacity” r “inherent growth rate”. A modification of this study populations living periodically (seasonally) fluctuating environment replaces constant carrying capacity by periodic sequence Kt capacities.

10.1080/1023619021000053980 article EN The Journal of Difference Equations and Applications 2002-01-01

1. We identify an unstable equilibrium with a two‐dimensional stable manifold and one‐dimensional in three‐state variable (larva, pupa, adult) insect population growth model. 2. The saddle node forecasts that the time series of some initial numbers larvae, pupae adults are drawn closely to before approaching asymptotic attractor (a two‐cycle), while other points not. 3. Using two quantitative indices, we examine from Tribolium experiment for evidence predicted node. conclude accounts...

10.1046/j.1365-2656.1998.00194.x article EN Journal of Animal Ecology 1998-03-01

We show that a discrete-time, two-species competition model with Ricker (exponential) nonlinearities can exhibit multiple mixed-type attractors. By this is meant dynamic scenarios in which there are simultaneously present both coexistence attractors (in species present) and exclusion one absent). Recent studies have investigated the inclusion of life-cycle stages models as casual mechanism for existence these kinds In paper we investigate role without stages.

10.1080/17513750701610010 article EN Journal of Biological Dynamics 2007-10-01

Animals and many plants are counted in discrete units. The collection of possible values (state space) population numbers is thus a nonnegative integer lattice. Despite this fact, mathematical models assume continuum system states. complex dynamics, such as chaos, often displayed by continuous-state have stimulated much ecological research; yet discrete-state with bounded size can display only cyclic behavior. Motivated data from experiment, we compared the predictions models. Neither...

10.1126/science.1063358 article EN Science 2001-10-19

10.1016/0025-5564(91)90071-p article EN Mathematical Biosciences 1991-11-01
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