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CASCADING THRESHOLDS TO HETEROCLINICITY IN AN ECOSYSTEM MODEL
J. VANDERMEER Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
ABSTRACT Using a model of three consumer/resource pairs coupled in an ecosystem model, previous work has demonstrated a particular dynamical behavior in which a switch from a chaotic attractor to a heteroclinic cycle is the underlying mechanism that causes extinction of some components of the system. The complex bifurcation sequence from chaos to heteroclinic cycle in this model is described using numerical methods. Evidence is presented suggesting a structure of nested manifolds that gradually reverse stabilities as the bifurcation parameter changes. Keywords: chaos, consumer/resource, heteroclinic cycles.
1 INTRODUCTION Forging generalizations about dynamic behavior of model ecosystems has become far more complicated in recent years as complex nonlinearities are routinely added to models in search of more realism. One feature that has recently emerged as a generalized pattern is the existence of complicated heteroclinic cycles when several consumer resource systems are coupled together. Since consumption is the basis of energy transfer in ecosystems, such behavior is likely to become more important as further levels of complexity are incorporated into ecosystem models. Of particular importance is the way in which some systems generate heteroclinic oscillations that approach the origin, or at least one of the axes of the system, which is to say, the limiting case is extinction of one or more elements in the system. This is precisely the behavior observed in several recent cases of consumer/resource-based ecosystem models [1, 2]. The existence of heteroclinic cycles in ecological models is well known [3–7] and, as noted by Hofbauer and Sigmund [3, 4], are likely to appear more frequently the larger the ecosystem model. In one particular case, in a six-dimensional model, a seemingly complex bifurcation sequence from a constrained chaotic attractor to a heteroclinic attractor has been described [2]. The analysis of that situation recognized the heteroclinic nature of the behavior and also pointed out some unusual additional structural features that were not necessarily evident. Closer examination of this behavior reveals a threshold cascade of chaotic attractors with increasingly lower boundaries. The purpose of the present work is to describe in detail the nature of this cascade. While this paper treats only this special case, in light of the growing complexity of ecosystem models and the consequent inevitability of heteroclinic cycles to emerge [4], I fully expect that this sort of structure will be seen in other systems also.
2 THE MODEL The situation under study is a system of ordinary differential equations meant to represent the classical case of two competitors subject to an invading competitor, where the competition formulation is based on resource competition such that the dual two-dimensional systems {P1, x1} and {P2, x2} (where P stands for predator or consumer and x stands for resource) are subject to the invasion of the system P{P3, x3}. The question then is one of what parameter values generate what dynamical behavior patterns. The basic setup is illustrated in Fig. 1. Previously it has been established that a complex set of behavioral repertoires are possible with this system [2]. Here I am concerned with one particular
WIT Transactions on State of the Art in Science and Engineering, Vol 51, © 2011 WIT Press www.witpress.com, ISSN 1755-8336 (on-line) doi:10.2495/978-1-84564-654-7/18 186 | P a g e
P1 P 23P
X12X X 3
Figure 1: Diagrammatic representation of the system under study. The xs represent prey items, the Ps represent predators, the arrowhead indicates a positive effect, and the small circle indi- cates a negative effect. x1, x2, and x3 are meant to be competitors on a resource gradient, such that x2 is intermediate and thus receives competitive pressure from both sides on the gradient. parameter setting, in which the appearance of heteroclinic cycles is common and tied to the important ecological force of extinction. The model is based on the standard Lotka–Volterra framework, as follows:
dPi/dt =−mPi + aPixi I , (1a)
dx1/dt = x1[1 − x1 − 1.1x2 − ax1P1 1], (1b)
dx2/dt = x2[1 − x2 − 1.1(x1 + x3) − aP2 2], (1c)
dx3/dt = x3[1 − x3 − 1.1x2 − P3 3], (1d)