Weakly dissipative predator-prey systems

In the presence of seasonal forcing, predator-prey models with quadratic interaction terms and weak dissipation can exhibit infinite numbers of coexisting periodic attractors corresponding to cycles of different magnitude and frequency. These motions are best understood with reference to the conservative case, for which the degree of dissipation is, by definition, zero. Here one observes the familiar mix of “regular” (neutrally stable orbits and tori) and chaotic motion typical of non-integrable Hamiltonian systems. Perturbing away from the conservative limit, the chaos becomes transitory. In addition, the invariant tori are destroyed and the neutrally stable periodic orbits becomes stable limit cycles, the basins of attraction of which are intertwined in a complicated fashion. As a result, stochastic perturbations can bounce the system from one basin to another with consequent changes in system behavior. Biologically, weak dissipation corresponds to the case in which predators are able to regulate the density of their prey well below carrying capacity.

[1]  Elliott W. Montroll,et al.  Nonlinear Population Dynamics. (Book Reviews: On the Volterra and Other Nonlinear Models of Interacting Populations) , 1971 .

[2]  R. F. Morris The Dynamics of Epidemic Spruce Budworm Populations , 1963 .

[3]  R. Macarthur Species packing and competitive equilibrium for many species. , 1970, Theoretical population biology.

[4]  L. Slobodkin,et al.  Community Structure, Population Control, and Competition , 1960, The American Naturalist.

[5]  C. Mira,et al.  Chaotic Dynamics: From the One-Dimensional Endomorphism to the Two-Dimensional Diffeomorphism , 1987 .

[6]  J. Lawton,et al.  Characteristics of successful natural enemies in models of biological control of insect pests , 1978, Nature.

[7]  J. Gillis,et al.  Classical dynamics of particles and systems , 1965 .

[8]  S. I. Rubinow,et al.  Some mathematical problems in biology , 1975 .

[9]  S. Levin,et al.  Dynamical System Theory in Biology. Vol. 1. Stability Theory and Its Applications , 1972 .

[10]  John Maynard Smith Models in ecology , 1974 .

[11]  Miguel A. Altieri,et al.  Polyculture cropping has advantages , 1982 .

[12]  C. B. Huffaker,et al.  Theory and practice of biological control , 1976 .

[13]  M. Rosenzweig Paradox of Enrichment: Destabilization of Exploitation Ecosystems in Ecological Time , 1971, Science.

[14]  S. Rinaldi,et al.  Conditioned chaos in seasonally perturbed predator-prey models , 1993 .

[15]  L. Godfrey,et al.  Alfalfa Harvest Strategy Effect on Lygus Bug (Hemiptera: Miridae) and Insect Predator Population Density: Implications for Use as Trap Crop in Cotton , 1994 .

[16]  D. Ruelle SENSITIVE DEPENDENCE ON INITIAL CONDITION AND TURBULENT BEHAVIOR OF DYNAMICAL SYSTEMS , 1979 .

[17]  Peter Kareiva,et al.  Biotic interactions and global change. , 1993 .

[18]  R. Doutt,et al.  The Rubus Leafhopper and its Egg Parasitoid: An Endemic Biotic System Useful in Grape-Pest Management , 1973 .

[19]  Michael A. Lieberman,et al.  Transient chaotic distributions in dissipative systems , 1986 .

[20]  H. B. Wilson,et al.  Chaotic stochasticity: a ubiquitous source of unpredictability in epidemics , 1991, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[21]  M. Altierr,et al.  Cover crops affect insect and spider populations in apple orchards , 1986 .

[22]  L. Slobodkin,et al.  Regulation in Terrestrial Ecosystems, and the Implied Balance of Nature , 1967, The American Naturalist.

[23]  David Pimentel,et al.  CRC handbook of pest management in agriculture , 1990 .

[24]  J. Lagerlöf,et al.  The abundance of arthropods along two field margins with different types of vegetation composition: an experimental study , 1993 .

[25]  J. M. Cherrett,et al.  Biological Control by Natural Enemies. , 1976 .

[26]  Mark Kot,et al.  Complex dynamics in a model microbial system , 1992 .

[27]  B. Weiss,et al.  Sensitive dependence on initial conditions , 1993 .

[28]  W. Murdoch Diversity, Complexity, Stability and Pest Control , 1975 .

[29]  R. M. Arthur,et al.  Species packing, and what competition minimizes. , 1969, Proceedings of the National Academy of Sciences of the United States of America.

[30]  J. Yorke,et al.  Fractal basin boundaries , 1985 .

[31]  Lee A. Segel,et al.  Mathematics applied to deterministic problems in the natural sciences , 1974, Classics in applied mathematics.

[32]  E. H. Kerner,et al.  Further considerations on the statistical mechanics of biological associations , 1959 .

[33]  Paul R. Ehrlich,et al.  The "Balance of Nature" and "Population Control" , 1967, The American Naturalist.

[34]  William W. Murdoch,et al.  "Community Structure, Population Control, and Competition"-A Critique , 1966, The American Naturalist.

[35]  E. H. Kerner,et al.  A statistical mechanics of interacting biological species , 1957 .

[36]  M. Altieri How Best Can We Use Biodiversity in Agroecosystems? , 1991 .

[37]  Yuri A. Kuznetsov,et al.  Multiple attractors, catastrophes and chaos in seasonally perturbed predator-prey communities , 1993 .

[38]  E. Leigh ON THE RELATION BETWEEN THE PRODUCTIVITY, BIOMASS, DIVERSITY, AND STABILITY OF A COMMUNITY. , 1965, Proceedings of the National Academy of Sciences of the United States of America.

[39]  G. Varley,et al.  Population Changes in German Forest Pests , 1949 .

[40]  R. Levins Evolution in Changing Environments , 1968 .

[41]  E. H. Kerner On the Volterra-Lotka principle , 1961 .

[42]  Michael J. Crawley,et al.  Natural Enemies: The Population Biology of Predators, Parasites and Diseases , 1992 .

[43]  Peter Kareiva,et al.  Plant defense, herbivory, and climate change. , 1993 .

[44]  Masayoshi Inoue,et al.  Scenarios Leading to Chaos in a Forced Lotka-Volterra Model , 1984 .

[45]  Effects of crop rotation and reduced chemical inputs on pests and predators in maize agroecosystems , 1994 .