Change in Communities - PCB 3043

Relative Interaction Intensity (RII)

  • Formula:
      RII=rac(CE)(C+E)RII = rac{(C - E)}{(C + E)}
      - Where:
        - C = number or biomass of target individuals in presence of interactor
        - E = number or biomass of target individuals in absence of interactor
      - Scenario: Removing mussels (interactor species) to measure RII for gulls (target species).
      - Question: What is the expected RII?
        a) Positive
        b) Negative
        c) Zero
        d) Not enough information to answer
      - Data Provided:
        - With mussels:
          - Barnacles: 10
          - Gulls: 8
        - Without mussels:
          - Barnacles: 20
          - Gulls: 12
      - Calculated RII for gulls:
        - RIIgulls=rac(812)(8+12)=rac420=0.2RII_{gulls} = rac{(8 - 12)}{(8 + 12)} = rac{-4}{20} = -0.2

Outline of Community Changes

  • Main Topics:
      - Agents of Change
      - Primary vs Secondary Succession
      - Models of Succession
      - Experimental Tests of Succession
      - Succession and Diversity

Agents of Change in Ecological Communities

  • Key Concepts:
      - Communities are dynamic, experiencing both gradual and abrupt changes.
      - Agents of Change:
        - Abiotic Factors: e.g., waves
        - Biotic Factors: e.g., predation
      - Concepts of Disturbance and Stress:
        - Disturbance: An event (abiotic/biotic) that injures/kills individuals, creating opportunities for growth/reproduction.
        - Stress: A factor reducing growth/reproduction/survival, similarly creating opportunities for others.
      - Intensity and Frequency of Change:
        - Changes can be:
          - Intense but rare (e.g., volcanic eruptions) leading to significant change.
          - Mild but frequent (e.g., waves, predation) can promote diversity without major changes.

  • Succession Definition:
      - The process through which species composition and community structure change over time due to abiotic and biotic agents.
      - Succession often examines changes following disturbances.

Types of Succession

  • Succession Defined:
      1. Primary Succession:
        - Involves colonization of lifeless habitats (no soil).
        - Extremely slow, as early species face harsh conditions and are crucial for transforming habitats.
      2. Secondary Succession:
        - Involves the reestablishment of communities where most organisms have been destroyed but some life remains.
      - Climax Stage: Stable endpoint community changes minimally until a disturbance resets the succession.

Examples of Succession

  • Primary Succession:
      - Hawaiian Islands example showcasing stages from bare substrates to tropical forests over time.

  • Secondary Succession Illustrated with Crabgrass: Chronological progression from crabgrass to oak-hickory climax forests within specified years.
      - Timeline Overview:
        - Year 1: Crabgrass
        - Year 2: Crabgrass, horseweed
        - Year 3-25: Ragweed, heath aster
        - Year 25-100: Broomsedge, perennial flowers, shrubs, pines
        - Year 100-200: Remnant pines with young oak and hickory trees
        - Year 200+: Oak-hickory climax forest

Key Ecological Case Study: Mt. St. Helens

  • Mt. St. Helens eruption provided a unique case for studying primary and secondary succession.

  • Notable features of the eruption included various zones including blowdown, scorch, and mudflow zones.

  • Plant Colonization Post-Eruption:
      - Fireweed (Chamerion angustifolium) seeds dispersed post-eruption to colonize bare sites, crucial for nitrogen levels in nutrient-poor soils.
      - The mutualistic relationship with nitrogen-fixing bacteria highly beneficial for new growth.

Historical Perspectives on Succession

  • Clements vs. Gleason:
      - Clements’ View: Succession is predictable and converges on a climax community, species being interdependent.
      - Gleason’s View: Succession is less predictable and influenced by abiotic tolerances and space availability.

Mechanisms of Succession

  • Three Conceptual Models of Succession:
      1. Facilitation Model: Early species support later colonization through environmental modifications.
      2. Tolerance Model: Establishment probability depends on dispersal ability and environmental persistence capabilities.
      3. Inhibition Model: Early species hinder the establishment of other species, requiring disturbance to promote change.

Experimental Tests of Successional Models

  • Example 1: Secondary succession in New England salt marshes, focusing on intertidal plant species.

  • Key Findings: Distichlis plays a dual role in facilitating or inhibiting colonization by Spartina or Juncus depending on salt stress.

  • Example 2: Primary succession in the rocky intertidal. Research by Wayne Sousa demonstrated effects of frequent disturbances on species colonization patterns, particularly with algal species.

Species Richness and Diversity in Succession

  • Patterns of Species Richness: Typically rises quickly and may plateau or decline in later stages.

  • Diversity Complexity: Changes as evenness often declines in later stages, indicating shifts in species interactions and competition.

Final Considerations on Succession

  • Predictability of Succession Paths: Suggests that while some patterns may be recognizable, alternate community development can occur under similar conditions.

  • Priority Effects: Early colonizers can influence future community structure significantly.

  • Alternative Stable States: Following disturbance, communities may resist change due to established structures.

Take Home Messages

  • Abiotic and biotic factors are significant agents of ecological change.

  • Succession represents the ongoing processes of change following disturbances.

  • Distinctions between primary and secondary succession are vital—primary is typically slower.

  • Key mechanisms during succession include facilitation, tolerance, and inhibition, with their importance potentially shifting over time.

  • Communities may follow varied successional paths and display alternative stable states.