Dynamics of Arthopod Predator-Prey Systems
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A01=Michael Patrick Hassell
Acari
Apex predator
Aphid
Arthropod
Author_Michael Patrick Hassell
Bark beetle
Barnacle
Biological pest control
Biomass (ecology)
Cactoblastis cactorum
Case study
Category=PSVA
Coccinella septempunctata
Coccinellidae
Damselfly
Density dependence
Diapause
Drosophila
Ecology
Encarsia formosa
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
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Fecundity
Foraging
Functional response
Growth curve (biology)
Haplodiploidy
Host (biology)
Housefly
Hymenoptera
Hyperparasite
Ichneumonidae
Infestation
Insect
Instar
Interspecific competition
Invertebrate
Larch sawfly
Larva
Limit cycle
Local extinction
Lotka-Volterra equations
Mayfly
Mytilus (genus)
Nasonia vitripennis
Odor
Optimal foraging theory
Oviparity
Ovipositor
Paradox of enrichment
Parasitism
Parasitoid
Parasitology
Pest control
Pisaster ochraceus
Poisson distribution
Population dynamics
Population ecology
Population model
Predation
Probability
Pupa
Sawfly
Scale insect
Scramble competition
Sex pheromone
Spatial heterogeneity
Tetranychus
Tetranychus urticae
Theoretical ecology
Trichogramma evanescens
Trophic level
Vertebrate
Product details
- ISBN 9780691082158
- Weight: 312g
- Dimensions: 140 x 216mm
- Publication Date: 21 Dec 1978
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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In this study of arthropod predador-prey systems Michael Hassell shows how many of the components of predation may be simply modeled in order to reveal their effects on the overall dynamics of the interacting populations. Arthropods, particularly insects, make ideal subjects for such a study because their generation times are characteristically short and many have relatively discrete generations, inviting the use of difference equation models to describe population changes. Using analytical models framed in difference equations, Dr. Hassell is able to show how the detailed biological processes of insect predator-prey (including host-parasitoid) interactions may be understood. Emphasizing the development and subsequent stability analysis of general models, the author considers in detail several crucial components of predator-prey models: the prey's rate of increase as a function of density, non-random search, mutual interference, and the predator's rate of increase as a function of predator survival and fecundity. Drawing on the correspondence between the models and field and laboratory data, Dr.
Hassell then discusses the practical implications for biological pest control and suggests how such models may help to formulate a theoretical basis for biological control practices.
Michael P. Hassell is Reader in Insect Ecology at Imperial College, London.
