Fragmentation & Island Biogeography Lecture

Forest Fragmentation & Disease

  • Forest fragmentation (breaking continuous forests into smaller patches)
    • Previously linked to rise in Lyme disease in eastern deciduous forests.
    • Housing developments act as fragmentation drivers.

Ecological vs. Geological Islands

  • Conventional image: land surrounded by water.
  • Ecological definition
    • Island = Any patch of habitat isolated from similar habitat by a barrier that significantly restricts dispersal.
    • Barriers can be:
    • Water\text{Water} (for terrestrial organisms)
    • Land\text{Land} (for aquatic organisms)
    • Mountains, inhospitable habitat, elevation gradients, etc.
    • Species–specific: what is an island for an earthworm may not be for a bird.
  • Examples
    • Forest patch inside a clear-cut = island for shade-obligate plants & soil invertebrates.
    • Pond in a meadow = island for aquatic taxa.
    • Gutter full of soil on a roof: vertical distance creates an island for microbes & seedlings.

Scale, Perspective & Relativity

  • Australia
    • Terrestrial mammals: true island (water is barrier).
    • Marine fish: not an island (water continuous habitat).
  • Same habitat patch can be island or continuous matrix depending on organism.

Forest Fragmentation Case – Bolivia (Teres Bahaa Project)

  • Government relocated Andean farmers to lowlands.
  • Created radial “spoke” communities with soccer field, church, café, etc.
  • Soybean export fields: large diagonal strips.
  • Results
    • Vast tropical dry forest cleared → many tiny forest islands.
    • Presence of corridors (narrow strips of contiguous forest) between some fragments allows limited movement & maintains diversity.
    • Lesson: leaving connected habitat strips mitigates some fragmentation impacts.

Species–Area Relationship (SAR)

  • General empirical rule: S=cAzS = cA^{z}
    • SS = species richness, AA = area, cc & zz = constants (z ≈ 0.150.350.15\text{–}0.35 for most taxa).
  • Data sets presented
    • Galápagos plants: larger islands → more species.
    • English flowering plants, North-American birds show identical positive trends.
  • Applies to true islands and terrestrial plots.

Origin of Islands & Time Available for Colonisation

  • Volcanic islands
    • Begin sterile; rely on primary succession → lower richness.
  • Land-bridge / sea-level islands (e.g., Aleutians; former peninsulas high & dry during glacial maxima)
    • Start with pre-existing communities → higher richness.

Oceanic vs. Continental “Islands” of Equal Area

  • True oceanic islands (isolated by hostile matrix) accumulate species faster with added area than patches embedded in similar mainland habitat.
  • Because immigration outweighs emigration on isolated islands; on continental patches, immigration ≈ emigration.

Immigration & Extinction Dynamics

  • Species richness (not “diversity”) determined by balance of:
    • Immigration rate (new species time1\text{time}^{-1}).
    • Extinction rate (species lost time1\text{time}^{-1}).
  • Immigration curve
    • Highest when S0S \approx 0.
    • Declines to 00 when island contains complete species pool.
  • Extinction curve
    • 00 when S=0S = 0.
    • Increases with SS due to competition, resource limits.
  • Equilibrium point (*E*)
    • Intersection of curves → expected long-term SeqS_{eq}.
    • Disturbances that push SS left (losses) trigger high immigration → recovery toward SeqS_{eq}.
    • Push SS right (additions) trigger extinctions → decline toward SeqS_{eq}.
Distance Effects
  • Near vs. far islands (same size)
    • Near: higher immigration → higher SeqS_{eq}.
    • Far: lower immigration → lower SeqS_{eq}.
Size Effects
  • Large vs. small islands (same distance)
    • Small: higher extinction, lower SeqS_{eq}.
    • Large: lower extinction, higher SeqS_{eq}.
Student Exercises Mentioned
  1. Draw extinction curves for near vs. far islands.
  2. Draw immigration curves for large vs. small islands.

Empirical Test – Simberloff & Wilson (1960s, Florida Keys)

  • Mangrove islets (diameter 550ft\approx 5\text{–}50\,\text{ft}).
  • Steps
    1. Survey arthropods (species pool \approx 5001000500\text{–}1000 spp.).
    2. Cover islands with tents; fumigate (reset S=0S=0).
    3. Monitor recolonisation.
  • Findings
    • Islands held 2040\approx 20\text{–}40 species at equilibrium.
    • Near islands re-established pre-defaunation richness (~250270250\text{–}270 days) then oscillated.
    • Far islands lagged, never fully reached prior richness within study window.
    • Species composition changed (turnover) even when richness stabilised.

Colonisation Phases & Community Change

  1. Non-interactive phase
    • Early colonisers; minimal biotic interactions; richness driven solely by immigration.
  2. Interactive phase
    • Competition, predation, mutualism develop; richness/diversity reshaped by interactions.
  3. Assortative (successional) phase
    • Habitat modification & succession mechanisms (facilitation, tolerance, inhibition) dominate.
  4. Evolutionary phase
    • In situ speciation/adaptation alter richness; important on long-isolated, large islands.
  • All phases operate concurrently; dominance shifts with island age.

Designing Reserves – Applying Island Biogeography

  • Optimal goals: maximise species richness.
  • Design principles (from classroom exercise)
    • Bigger > smaller (lower extinction).
    • Single large > several small (SLOSS debate – here, richness driven by area).
    • Close-together > far-apart (boost immigration).
    • Connected by corridors > isolated (reduce barrier strength).
    • Compact shape > convoluted/elongated if objective is interior-dependent species (reduces edge effects).
    • Edge-preferring species might demand opposite design.

Case Study – Mount Rainier National Park (WA)

  • Smallest U.S. national park at designation (~early 19101910s).
  • Expected to hold 68\approx 68 of state’s 8686 mammal spp.
  • Actual counts
    • 19201920s: 50\approx 50 spp.
    • 19701970s: 37\approx 37 spp.
    • 19801980s: 25\approx 25 spp.
  • Cause: state land sales converted surrounding similar habitat into residential/industrial matrix → park became true island.
  • Restoration: 1980s–90s corridor & re-forestation purchases raised current richness to 65\approx 65 spp. (near theoretical maximum).
  • Demonstrates reversible effects when barriers removed.

Summary Points

  • Island species richness = dynamic equilibrium of immigration vs. extinction.
  • Immigration influenced by
    • Size of species pool
    • Dispersal ability
    • Distance (near vs. far)
  • Extinction influenced by
    • Island area (small vs. large)
    • Resource availability & competition
    • Presence/absence of predators, mutualists, etc.
  • Four colonisation phases (non-interactive, interactive, assortative/successional, evolutionary) govern temporal patterns.
  • Reserve design should heed island principles: large, clustered, connected preserves sustain higher richness.