Metapopulations A A metapopulation is a collection (ensemble) of sub - - PowerPoint PPT Presentation

metapopulations a a metapopulation is a collection
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Metapopulations A A metapopulation is a collection (ensemble) of sub - - PowerPoint PPT Presentation

Metapopulations A A metapopulation is a collection (ensemble) of sub t l ti i ll ti ( bl ) f b populations connected by migration. Shift in emphasis: Populations as single, well mixed collection of individuals. Populations as


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Metapopulations A t l ti i ll ti ( bl ) f b A metapopulation is a collection (ensemble) of sub‐ populations connected by migration. Shift in emphasis: Populations as single, well‐mixed collection of individuals. Populations as single, well mixed collection of individuals. Total population size fluctuates (either deterministically or stochastically) around an environmentally determined i it carrying capacity vs. Populations as a mosaic of subpopulations connected by migration, each of fluctuate asynchronously and are migration, each of fluctuate asynchronously and are subject to local extinction and (re‐)colonization.

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Metapopulations: examples Glanville fritillary fritillary (Ilkka Hanski, U. Helsinki)

Image courtesy UK Butterflies

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Metapopulations: examples Bay checkerspot butterfly (Susan Harrison UC Davis (Susan Harrison, UC Davis Paul Ehrlich, Stanford) “island mainland metapopulation”

Images courtesy Cal Academy

island‐mainland metapopulation

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Hanski’s four “conditions” for metapopulations 1 Th it bl h bit t i di t t h hi h

  • 1. The suitable habitat occurs in discrete patches which

may be occupied by local breeding populations.

  • 2. All local populations have a substantial risk of extinction.
  • 3. Habitat patches are not too isolated to prevent
  • 3. Habitat patches are not too isolated to prevent

recolonization. 4 L l l ti d t h l t l h

  • 4. Local populations do not have completely syncrhonous

dynamics.

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Richard Levins’s metapopulation model (1969) “th th f ll t l ti d l ” (H ki) “the mother of all metapopulation models” (Hanski) p = proportion of habitat patches that are occupied c = rate of propagule production, per occupied patch e = per patch rate of extinction (1 ) dp cp p ep dt   

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Key assumptions in the Levins model N diff t h

  • No differences among patches
  • No spatial structure (model is “implicitly spatial”)
  • Local population dynamics within a patch are unimportant

(or happen quickly relative to the processes of colonization (or happen quickly relative to the processes of colonization and extinction). L b f t h

  • Large number of patches
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Model variations I l d i l d d l “ l i ” Island – mainland model: “propagule rain” (1 ) dp c p ep dt   

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Model variations: rescue effect H ki “O f th f tl d b t ft Hanski: “One of the more frequently used but often misunderstood concepts in the metapopulation literature” Basic idea: => When p is large, some patches will have large local populations. populations. => Large local populations generate migrants that emigrate f d l i d t h t l i d from densely occupied patches to sparsely occupied patches.

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Model variations: rescue effect, con’t Mi ti t l i d t h d => Migration to sparsely occupied patches decreases extinction at those patches. Reduction in extinction probability from immigration to sparsely occupied patches exceeds increase in extinction probability caused by emigration from emigration from densely occupied

  • patches. (Think Allee effects.)
  • patches. (Think Allee effects.)

=> Thus, per patch rate of extinction, e, decreases as p increases. d (1 ) [ ] dp cp p e p p dt   