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Predator-Prey Relationships BIOL400 21 September 2015 Evidence Predators Can Regulate Prey Abundance Achieved via controlled prey-transplant or predator-removal experiments Also strongly suggested by introduction of new, exotic predators Fig. 5.9 p. 73 Small mussels eliminated by crabs and starfish in Lough Ine, but waves and salinity limit predators on open coast Large mussels disappeared in SE Lough, where they do not occur due to large crabs Fig. 5.10 p. 74 Fig. 11.13 p. 200 Modelling Predator-Prey Interactions Elton’s Oscillations (1924, 1942) Apparent effect of prey density on predator density in pelt data Ups and downs in lynx seemed to come just after ups and downs of their primary prey, snowshoe hares, on a 9-10 year cycle Ups and downs in prey base of hares are probably also a part of this cycle Fig. 11.19 p. 203 HANDOUT—Lynx and Hare Cycles Fig. 11.2 p. 191 Assumptions of the model: Single predator species/single prey species Simple relationship of prey density to predation rate (i.e., predator density) Predator reproductive rate is proportional to prey density Figs. 11.15a & 11.16 p. 201 Laboratory Attempts to Generate Predator-Prey Oscillations Fig. 11.7a p. 195 Gause 1934 Fig. 11.7b p. 195 Gause 1934 Fig. 11.7c p. 195 Gause 1934 Huffaker’s Mites and Oranges Experiments Eotetranychus, a mite that feeds on oranges Typhlodromus, a mite that feeds on Eotetranychus Former disperses with threads of silk, latter only disperses overland Predator and Prey on Single Orange Extinction of prey Starvation and extinction of predator Fig. 11.8 p. 195 Huffaker 1958 Multiple Oranges Adjacent to One Another Prey populations grew to 113-650 per orange Prey extinct in 23-32 days Starvation and extinction of predator Multiple Oranges, Widely Dispersed Prey populations grew to 2000-4000 per orange Prey extinct in 36 days Starvation and extinction of predator Vaseline Barriers, Oranges Dispersed Four oscillations generated over 14 months Fig. 11.9 p. 196 Why it is Generally Not That Simple in Nature It's a food web, not a food chain Prey may have refugia, and be less prone to predation at low densities Predators may have search images that switch as prey become more abundant or less abundant Other environmental factors may influence prey or predator density (e.g., salinity and starfish/crabs) Predator and prey constantly are selected by one another in a co-evolutionary “arms race” HANDOUT—Stenseth et al. 1997 Predator Responses to Prey Density Fig. 11.18 p. 202 Numerical Response Refers to both… …increases in predator N via reproduction …aggregation of predators in prey-rich areas HANDOUT—Bowman et al. 2006 Functional Response Change in per-capita rate of prey consumption Type I—constant increase in per-capita rate of consumption as prey density increases Type II—predator satiation at high prey densities plus the effect of handling time Type III—satiation/handling time effect at high prey densities, and, at low prey densities, refugium saturation plus prey-switching behavior Fig. 11.14 p. 200 Fig. 11.15 p. 201 HANDOUT—Brown et al. 2010 Predator-Prey Model Incorporating a Functional Response Panel a—Prey regulated near Kprey Panel b—Prey regulated near Kprey or at very low density (B is unstable point) Panel c—Prey regulated well below Kprey Panel d—Prey is driven to extinction Indirect Effects and Predation Indirect Effects and Predation An effect expressed upon a species, A, via an interaction between species B and C B, by preying on C, may benefit A Exs: Keystone predators that limit strong competitors Fig. 19.17 p. 392 Paine 1974 Fig. 20.12 p. 413 Fig. 11.1 p. 189 Left: Competition between two predators Right: Apparent competition If H1 increases, P1 increases, H2 decreases, and P2 decreases • Last change not necessarily due to competition between predators Schmitt (1987) Experiments with snails, clams, and their major predators • A lobster, an octopus, and a whelk Adding either prey caused aggregative numerical response of predators, leading to reduced density of other prey “Apparent competition” between snails and clams