Chap14

CHAPTER 14: EXPLOITATIVE INTERACTIONS

Predation, Herbivory, Parasitism & Disease Pathogens
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TYPES OF INTERACTIONS BETWEEN SPECIES

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  • Table 13.1: Types of Species Interactions

    • Definitions based on the net impact on each species or individual involved:

      • Competition: Both species negatively impacted

        • Example: A lion and a hyena fighting over a carcass; both expend energy and risk injury.

      • Mutualism: Both species positively impacted

        • Example: A penstemon and the bee that pollinates it; the penstemon spreads its genes while the bee gets food.

      • Predation/Parasitism: Species 1 is positively impacted while species 2 is negatively impacted

        • Example: A fungus growing on a wild rosebush causes disease to the rose while benefiting the fungus.

      • Herbivory: Involves consumption of plants, generally not resulting in death but negatively impacting the plant.

      • Commensalism: Species 1 positively impacted, species 2 not impacted

        • Example: An orchid growing on a tree has a support structure, benefiting by being more accessible to pollinators, without impacting the tree.

      • Amensalism: Species 1 negatively impacted, species 2 not impacted

        • Example: A sunflower growing in the shade of a walnut tree.

      • Neutralism: Neither species positively or negatively impacted

        • Example: Two species of insects living on the same plant using different parts without affecting each other.

Basic Definitions

  • Predation: An organism kills another organism and consumes it.

  • Herbivory: An animal feeds on some portion of a plant but does not usually kill it.

  • Parasitism: An organism lives on or in a host, usually reducing the host’s fitness, sometimes killing it but usually not.

  • Parasitoid: A special case of predation where insect larvae live as parasites and eventually consume their host.

  • Pathogen: An organism inducing disease and reducing the fitness of hosts, may or may not kill the hosts.

    • Example: Borrelia burgdorferii (causes Lyme disease).

Predation And Population Cycles

  • Discusses the classic ecological scenario of the Snowshoe Hare and Lynx predation cycles, highlighting:

    • Earlier hypotheses including sunspots and solar radiation cycles as causes of energy cycles.

    • The impact of disease and food loss following overpopulation.

    • Ongoing research emphasizing the complexity of predator-prey interactions, notably studies by Charles Krebs et al.

Lotka and Volterra Models of Predator-Prey Interactions

  • Key Variables:

    • Prey (H) = Host

    • p = Predation Rate

    • extPredationRate(p)=Preykilledperunitoftimeext{Predation Rate (p) = Prey killed per unit of time}

  • Impact: Depends on both host and predator populations, with predator growth influenced by prey availability (c).

  • Approximate one cycle in predator-prey relationship dynamics.

Environmental Complexity

  • Refuges: Addition of spatial complexity enhances predator-prey oscillations, but does not fully solve challenges in simple systems under laboratory conditions.

  • Example by Gause: Paramecium aurelia and protozoan predator Didinium nasutum.

    • Oscillations maintained with periodic immigration; influenced by real-world complexities (e.g., metapopulations on heterogeneous landscapes).

Carl Huffaker’s Experiment (1958)

  • Investigated herbivorous and predatory mite dynamics utilizing habitat patches.

  • Results showed more intricate spatial arrangements produce viable predator-prey oscillations.

    • Acknowledges the ecological variability over time and space, marking it as a foundational exploration in landscape ecology.

Lotka’s Insights on Spatial Analysis

  • Emphasizes variability in the capture/consumption rate (p) across spatially structured populations.

  • Explains how environmental gradients influence predation dynamics, including different habitat types.

Population Cycles In Real Life and Top Down Food Chain Effects

  • Case Study: Isle Royale National Park in Lake Superior illustrates:

    • Low predation leads to high herbivory,

    • Conversely, high predation leads to low herbivory, influencing balsam fir growth suppression and release dynamics.

  • Explains the lag effects observed (1-2 years behind moose variations).

Linkage of Exploitative Interactions to Behavior

  • Discuss how predation influences herbivory behavior, showcasing real-world examples, notably:

    • Yellowstone National Park reintroduction of wolves influencing elk foraging behavior, revealing "The ecology of fear."

Parasitism and Host Behavior Dynamics

  • Behavioral Alteration: For example, certain parasitic worms in starlings change host behavior, enhancing parasite propagation.

    • Discuss the work by Kathleen McAuliffe ("This Is Your Brain on Parasites") discussing manipulative effects of parasites on host behavior and broader socio-historical implications.

    • Example of toxoplasmosis affecting rodent fear response to cats.

Pathogen, Parasite, and Host Interactions

  • Integrative Concepts: Life histories, dispersal, and population ecology link with diversities in host presence and land use change.

Tick-Pathogen Relations and Human Health Implications

  • Key Species:

    • American Dog Tick (Dermacentor variabilis) linked with:

      • Rocky Mountain Spotted Fever (Rickettsia rickettsii)

      • Tularemia

    • Blacklegged Tick (Ixodes scapularis) as a vector for:

      • Lyme Disease

      • Powassan virus

      • Anaplasmosis

      • Babesiosis (parasite)

      • Related to habitat use, niche breadth, and overlap.

Life History Strategy

  • Ticks require 2-3 blood meals before maturity, spending a significant portion of their life cycle off hosts. Host species can influence tick dispersal patterns.

Tick Dispersal Dynamics

  • Categories: Short distance vs. Long distance dispersal, highlighting that despite dispersal, population establishment and growth post-dispersal may not be assured.

Regional Tick Population Dynamics

  • Case study of Blacklegged Tick distribution emphasizing habitat composition and land use changes over time.

    • Identifying dispersal paths and future land use impacts on tick distribution and associated disease risks.

Niche Modeling and Density Predictions

  • Evaluation of potential tick populations via habitat composition, configuration, and climatic factors impacts on tick establishment and human health risks.

Summary & Final Notes

  • Prediction maps depict potential tick occurrences, hypothesis testing for field sampling, emphasizing the ecological implications regarding Lyme disease.

  • Emphasizes the complexity of relationships linking land use, host species presence, tick dynamics, and human health outcomes.