Models in EcologyCUP Archive, 17.01.1974 - 157 Seiten This 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. |
Inhalt
Twospecies interactions or complexity per | 5 |
F Stochastic and deterministic models | 12 |
Breeding seasons and age structure | 36 |
Predatorprey systems with age structure | 47 |
Competition | 59 |
Migration | 69 |
7 | 85 |
19 | 94 |
Complexity with several trophic levels | 104 |
Coevolution page | 116 |
Territorial behaviour | 125 |
137 | |
23 | 139 |
143 | |
145 | |
146 | |
Häufige Begriffe und Wortgruppen
abundant adult alter analysis assumed assumptions average biological biomass birds blowfly breeding season breeding success Chapter coexistence competing species competitive exclusion competitive exclusion principle complex conclusion consider constant corresponding curve cycle depends divergent oscillation dx/dt ecological ecosystem effects environment equal equilibrium value establish territories evolution extinction factors favour figure 44 Fluctuations in numbers generalist genetic feedback group selection Hence herbivores host houseflies Kerner kin selection Krebs large amplitude Levins limited logistic equation MacArthur mathematical maximise Maynard Smith migration natural selection neighbouring cells number of cells number of prey number of species optimal habitat oscillations parasite parasitoid patterns persistence phase Pimentel population regulation predator predator-prey interactions predator-prey system prey and predators prey species reproductive success shown in figure simulation stabilising stability stable equilibrium stationary point statistical mechanics suboptimal habitat suppose survival synchrony territorial behaviour tion trophic levels unstable variables Volterra's equations X₁ Xn+1