## Models in EcologyThis book is aimed at anyone with a serious interest in ecology. Ecological models of two kinds are dealt with: mathematical models of a strategic kind aimed at an understanding of the general properties of ecosystems and laboratory models designed with the same aim in view. The mathematical and experimental models illuminate one another. A strength of the account is that although there is a good deal of mathematics, Professor Maynard Smith has concentrated on making clear the assumptions behind the mathematics and the conclusions to be drawn. Proofs and derivations have been omitted as far as possible. The book is therefore comprehensible to anyone with a minimal familiarity with mathematical notation. This book was written in the twin convictions that ecology will not come of age until it has a sound theoretical basis and there is a long way to go before that state of affairs is reached. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Twospecies interactions or complexity per seJ | 5 |

F Stochastic and deterministic models | 12 |

B Volterras equations | 19 |

Some special cases | 25 |

F The functional response of predators | 31 |

b Delays due to development time | 38 |

Predatorprey systems with age structure page | 47 |

Competition | 59 |

### Common terms and phrases

abundant alter analysis assumed assumptions biomass blowfly Callosobruchus chinensis carrying capacity Chapter commensal competing species competition complex conclusion constant convergent oscillation corresponding curve decrease delay depends described Didinium divergent oscillation ecology ecosystem effects environment equilibrium density equilibrium point equilibrium value example extinction favour fluctuations in numbers function generalist genetic feedback growth Hence herbivores host inequalities initial conditions larvae lead Levins limit cycle logistic equation MacArthur maximise methyl cellulose migration natural selection neighbouring cells number of adults number of cells number of prey number of species numbers of individuals optimal habitat pairs parasite parasitoid patterns phase Pimentel possible predator and prey predator-prey interaction predator-prey system prey and predators prey density prey species reasons relevant reproductive success shown in figure simulation solution stabilising stability stable equilibrium stationary point statistical mechanics suboptimal habitat suppose survival synchrony territorial behaviour tion trophic levels unstable variables Volterra's equations