complex dispersal networks Michael Bode, University of Melbourne - - PowerPoint PPT Presentation

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complex dispersal networks Michael Bode, University of Melbourne - - PowerPoint PPT Presentation

Modelling the ecological implications of complex dispersal networks Michael Bode, University of Melbourne Population dynamics on a single patch In the absence of dispersal: Population dynamics on a single patch Recruitment limitation: Doherty


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Modelling the ecological implications of complex dispersal networks

Michael Bode, University of Melbourne

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Population dynamics on a single patch

In the absence of dispersal:

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Population dynamics on a single patch

Recruitment limitation:

Doherty (1991) Ecology of Fishes on Coral Reefs

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Metapopulations are populations of populations linked by dispersal

Connectivity is interesting, complex and novel

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Dispersal is essentially a linear driver of a multidimensional, nonlinear system

  • Dispersal is defined by connectivity matrix C
  • Matrix element cij is the proportion of larvae

from reef i that travel to reef j

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Metacommunity models = Local processes (dynamically & temporally complex) + Connectivity (spatially & temporally complex)

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Metacommunity models = Local processes (dynamically complex) + Connectivity (spatially complex)

The role of mathematics is to provide some insight into what the result might look like Not necessarily prediction

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How does dispersal interact with :

  • Population ecology
  • Evolution
  • Community dynamics

How does this affect ecosystem dynamics and conservation management?

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THREE COMMUNITY ECOLOGY EXAMPLES Small scale community dynamics

  • 1. Asymmetric dispersal
  • 2. Different dispersal abilities

Large scale community dynamics

  • 3. Dispersal differences on the GBR
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Prologue: Competition in a single population

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Prologue: Competition in a single population

These two species cannot stably coexist “Gause’s exclusion principle”

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Population dynamics on a connected patch

a b c d

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Competition across two patches

Patch 1 Patch 2

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Invasibility criteria

2 2

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Invasibility criteria

The two patches are saturated, allowing us to express Linearise the system of equations around the two extinction points: 2 2

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Invasibility criteria

If the dominant eigenvector of the Jacobian at both extinction points is greater than 1, coexistence is possible

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Example 1: Asymmetric dispersal patterns

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Coexistence via asymmetric dispersal

  • What ecological mechanisms could drive different

dispersal patterns for different species?

  • How does this manifest in larger metapopulations?
  • Is the coexistence robust to reasonable variation?
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  • Two species, identical at a local scale
  • Larval dispersal stages of

slightly different lengths.

  • Three identical patches

Example 2: dispersal differences and coexistence

dij

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Dispersal differences and coexistence

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Dispersal differences and coexistence

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Coexistence is possible if each species is a superior disperser over

  • ne of the inter-patch

distances However, this is neither necessary nor sufficient.

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Dispersal differences support coexistence that:

  • Is simple and intuitive
  • Can create quite complex patterns
  • Does not depend on local competitive advantage
  • Creates stable geographic replacement
  • Driven by common factors
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Williams (1991) Patterns and processes in the distribution of coral reef fishes. In:The Ecology of Fishes on Coral Reefs (Ed. P.F. Sale)

Example 3: GBR dispersal differences

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Theoretical proof involves drastic simplifications:

  • Simple, three-patch landscape
  • Deterministic, isotropic dispersal
  • No temporal variation
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Interannual variation Interspecific variation

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Coexistence is still possible when dispersal involves:

  • Realistic patch distributions
  • Multiple species
  • Biophysical drivers
  • Temporal stochasticity

(%)

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