WK7 - INTERACTIONS: Predation: Part 1: The impacts of predation

Predation: Impacts and Effects

Introduction to Predation

  • Predation is an exploitative interaction where one organism (the predator) consumes another (the prey).
  • Differs from competition: predation has a positive impact on the predator and a negative impact on the prey.

Types of Predation Effects

  • Direct Effects: Predator gains food, prey is injured or killed.
  • Indirect Effects: Changes in population densities.
  • Intraspecific Predation (Cannibalism): Predation within the same species, common in spiders and praying mantises.
  • Interspecific Predation: Predation between different species.

Predation vs. Parasitism

  • Predation: Causes immediate death of the prey.
  • Parasitism: Parasite consumes nutrients from a host, decreasing host fitness but not necessarily causing death.
  • Parasitoids: An exception where the parasite eventually kills the host (e.g., parasitoid wasps laying eggs in caterpillars).

Types of Exploitative Interactions

  • Categorized by lethality and specificity.
  • Herbivores: Low lethality, general prey choice (e.g., eating grass without killing the plant).
  • Parasites: Rarely lethal, highly specific (e.g., deer ticks preferentially feeding on deer).
  • Carnivores: High lethality, generalist prey choice (e.g., eating a range of herbivores).
  • Parasitoids: Kill one prey during a prolonged attack, highly specific interaction (e.g., parasitoid wasp).

Axes of Interaction

  • X-axis: Degree of lethality (less injury to death).
  • Y-axis: Specificity of interaction (least specific to most specific).

Predator Diet Breadth

  • Specialists (Monophagous): Eat only one type of food (e.g., anteater eating only ants).
  • Generalists (Polyphagous): Eat a broad diet (e.g., yabby eating almost anything).
  • Species exist along a gradient from narrow to broad diets.

Effects of Predation

  • Prey population abundance and dynamics.
  • Geographic range and local distributions of species.
  • Population structure (age classes).
  • Community structure (species present).

Range Contraction Example

  • Burrowing Bettong (Bui) in Australia:
    • Once widespread, populations disappeared from mainland Australia due to fox predation by 1942. Remnant populations were only found on offshore islands.
    • Example of range contraction due to predation.
    • Prairie-proof fences are now used to reintroduce bettongs to the mainland.

Range Expansion: Enemy Release Hypothesis

  • Introduction of a species to a new area without its natural enemies allows successful establishment and population growth.
  • Foxes in Australia: Introduced without natural enemies, leading to rapid population expansion.
  • Plants in their native range are affected by many pathogens and viral species. Once you take that plant out of its native range and put it into a new environment, we find that there are far fewer pathogens.

Changes to Biomass Example

  • Caddisfly Larvae and Algal Blooms:
    • Caterpillar larvae graze on algae and build protective sand houses.
    • Experiment with elevated tiles showed that larvae couldn't access algae on elevated tiles, leading to greater algal biomass.
    • Demonstrates the effect of caddisfly larvae on algae biomass in rivers.

Altering Population Structure Example

  • Dingoes Predation on Feral Pigs:
    • When dingoes are present, few young piglets survive. Population is mostly older pigs (2-5 years old).
    • When dingoes are absent, many young piglets are present, and there are fewer older pigs.
    • Predation shifts the population structure towards older individuals.

Predation Affecting Abundance Example

  • Fox Predation on Rock Wallabies:
    • Foxes were introduced to Victoria and spread across Australia, decreasing rock wallaby abundance.
    • Removal of foxes led to a quick increase in rock wallaby abundance.
    • Release from predation results in a significant population increase.

Predation Affecting Community Structure

  • Starfish Predation on Barnacles and Mussels:
    • Starfish predation promotes biodiversity by countering competition between barnacles and mussels.
    • When starfish are present, both barnacles and mussels coexist.
    • When starfish are removed, mussels become dominant, leading to competitive exclusion of barnacles.
    • Starfish are needed to maintain diversity in the community.

Components of Predation

  • Numerical Response: How predator abundance changes relative to prey abundance.
  • Functional Response: Changes in predator behavior related to how many prey are eaten per predator.
    • Mediated by search time, handling time, and satiation.
  • Total response is the combined effect of numerical and functional responses.

Warblers and Spruce Budworm Outbreak Example

  • Functional Response: Number of larvae eaten increases with larvae density, but plateaus at a satiation point.
  • Numerical Response: Number of nesting pairs increases as the larvae population grows.
  • Combined Response: Percentage mortality due to predation increases with larvae numbers, but the effect is small at high prey densities.
  • Predators have a greater effect when prey numbers are low.

Prey Overwhelming Predation

  • Insects emerging simultaneously to overwhelm predators.
  • Masting in trees, where all trees release seeds at the same time to satiate predators.

Lotka-Volterra Predator-Prey Model

  • Models predator-prey interactions and population dynamics.

  • Rate of change in prey population: dNdt=rNpNP\frac{dN}{dt} = rN - pNP

    • r: exponential rate of increase
    • N: size of the prey population
    • p: rate of predation
    • P: number of predators
  • Effect of predation is subtracted from prey population growth.

  • Hare and Lynx Example: Shows nine to eleven-year cycles of abundance.

    • Initial increase in hare numbers, followed by an increase in lynx numbers.
    • As lynx eat more hares, hare numbers decrease, followed by a decrease in lynx numbers (and vice versa).
    • Oscillation between the two species.
  • Growth of predator populations: dPdt=cP<em>rN</em>hN<em>pdP</em>n\frac{dP}{dt} = cP<em>rN</em>hN<em>p - dP</em>n

    • c: conversion rate of prey into predator offspring
    • Pr : predation rate
    • Nh : population of the prey
    • Np : population of predators
    • dP: death rate of predators.

Summary of Predator-Prey Equations

  • Prey exponential growth is often contained by predator responses to prey population growth.
  • Increased predation equals more predators, which leads to a higher exploitation rate.
  • Larger prey population eventually reduces prey population, in turn reducing predator population (oscillations).
  • Exceptions: Prey can overwhelm predator reaction through strategies like masting or swarming.