BIEB 102 Final Exam

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24 Terms

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Consumption

  • predation: consumption of one organism by another

  • predators: kill prey immediately & consume prey item (consume many prey over lifetime, some predators also scavenge)

  • scavenging predators: combine predation + scavenging

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Food webs and trophic position

  • trophic position: number of links btw species & primary producers

  • food web: map of feeding links

  • trophic levels/guilds: groups of species at same trophic position (consume similar resources)

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How can predators impart non-lethal effects on prey?

  • defense can be expensive to develop & maintain

  • avoiding predation can result in lost opportunities for growth & reproduction

  • ex: moose hanging near roads when there’s lots of bears

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Predator Regulation (Top-Down Control)

  • predators regulate pops of prey

  • pop growth rate comparable to that of prey (ex: whales can’t respond to rapid change of krill bc large differences in generation time)

  • high dispersal ability (prey easy to find bc they can’t hide)

  • ability to switch resources based on availability (dietary specialists may crash once prey depleted)

  • ex: predatory mites control herbivorous mites (pesticides remove predatory mites

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Donor Control (Bottom-Up Control)

  • some predators don’t regulate populations of prey → instead, prey abundance affects predators

  • predators only have access to small part of prey population (prey has refuge to hide)

  • predators pops controlled by something other than prey availability (ex: nests, intra-specific aggression)

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Cyclical population behavior

caused by time delay between predator’s numerical response + changes in prey pop size

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Empirical examples of predator-prey cycles

  • Hudson Bay Company observing trends in pelts between good and bad years (not due to variation in trapping)

  • Lynx and hares in Arctic

  • CB Huffaker explored herbivory & predatory mites (prey survival could be prolonged by dispersing oranges randomly + increase of spatial complexity of environment; barriers impeded predator movement + wooden pegs erected so prey could move to new oranges)

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Gause experiment

using Paramecium & Didinium cultures to illustrate importance of prey refuges & cycles (no refuge, prey refuge, restocking of predator-prey cycles)

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When do predator-prey cycles occur?

  • predators have strong regulating impact on prey

  • prey allows predator pop to grow fast (predator pop responds quickly by reproduction to increasing numbers of prey)

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When do predator-prey cycles not occur?

  • prey have high-quality refuge from predators

  • prey can employ defenses that lower predator growth (ex: algae aggregate into colonies to avoid predation)

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Isocline

  • condition in which the pop size of predator/prey doesn’t change in size for given number of prey/predators

  • dashed, horizontal line reps number of predators needed to keep prey pop from changing

  • dashed, vertical line reps number of prey needed to keep predator pop from changing

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Joint equilibrium

point where two isoclines cross (superimposes predator & prey isoclines to follow elliptical counterclockwise path)

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What influences changes to theoretical models?

  • initial numbers of predators & prey changes amplitude of cycles

  • the higher population turnover, faster the system oscillates

  • if initial number of predators & prey at joint equilibrium, pops stay there

  • if initial conditions too extreme, something crashes

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What stabilizes predator-prey cycles?

  • reduced time delays in predator’s response to changes in prey abundance (reduces prey crash bc predators don’t allow prey pop to get so high to begin with)

  • prey phenotypic plasticity (as predator pop increases, prey becomes harder to catch + less nutritious; reduces growth of predator pop)

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Functional Response curves

  • Type I: straight line unrealistic (no predator satiation, no time lost handling prey, no consideration of animal behavior)

  • Type II: initially like Type I w/ decelerating predation rate at hig prey density (predator satiation at high prey density)

  • Type III: accelerating predation at low prey density, declerating at high density (prey switching at low density, predator satiation at high density, prey has limited number of refuges)

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What do predators do for ecosystems?

  • no mountain lions → lots of deer → windy rivers

  • mountain lions → few deer → limited erosion → straight rivers

  • no predators → lots of large cottonwood trees but no young trees to replace them

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What does predation rate depend on?

  • predator density

  • prey density (challenging to find if few prey)

  • attack rate of predator (predators not always hungry + successful)

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Prey population growth equation

  • exponential growth - # lost to predator (rN - aNP)

  • aN = functional response (rate of prey capture by individual predator as function of prey abundance → losses to predators proport to NP; predators find prey at random)

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Predator population growth equation

  • aeNP - dP

  • e increase w/ value of individual prey items (nutritious prey converted into new predators more efficiently)

  • aeN = numerical response (predators produced for every prey available)

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Predator equilibrium

  • Pequil = r/a

  • when growth rate of prey pop high (r), more predators needed to keep prey pop from growing

  • when predators feed at high rates (a),  fewer of them needed to keep prey pop from growing

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Prey equilibrium

  • Nequil  = d/ae

  • w/ increasing predator death rate (d), more prey needed to keep predator pop from declining

  • w/ greate conversion efficiency (e) or predator attack rate (a), fewer prey needed to keep predator pop at equil

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Numerical response

  • add. predators added to pop for every prey available

  • individual predators increase consumption of prey only up to satiation

  • continued response to increasing prey density can be achieved only thru increased size of predator pop

  • immigration: mobile predators can track prey over lage areas (ex: Bay-breasted Warblers follow outbreaks of spruce budworm)

  • reproduction: for less mobile species, numerical response results from local pop growth

  • numerical response of predator lags behind pop growth (cycling around joint equilibrium; prey increase = predators scarce while prey decrease = predators plentiful)

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