Larval dispersal in reef fishes: biology, ecology, economics Michael - - PowerPoint PPT Presentation

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Larval dispersal in reef fishes: biology, ecology, economics Michael - - PowerPoint PPT Presentation

Larval dispersal in reef fishes: biology, ecology, economics Michael Bode ARC Centre of Excellence for Environmental Decisions, University of Melbourne mbode@unimelb.edu.au Early research into tropical fish communities Population dynamics on a


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Michael Bode ARC Centre of Excellence for Environmental Decisions, University of Melbourne mbode@unimelb.edu.au

Larval dispersal in reef fishes: biology, ecology, economics

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Early research into tropical fish communities

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i

Population dynamics on a single patch

Nonlinear dynamics 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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Population dynamics on multiple patches

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Dispersal is essentially a linear coupling of a multidimensional nonlinear system

  • Dispersal is defined by connectivity matrix C
  • Matrix elements are the proportion of

larvae from reef i that travel to reef j

1 2 3

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Dispersal is essentially a linear coupling of a multidimensional nonlinear system

  • Dispersal is defined by connectivity matrix C
  • Matrix elements are the proportion of

larvae from reef i that travel to reef j

1 2 3

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  • P. maculatus. Harrison et al. (2012) Current Biology

Measuring dispersal

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  • Resource intensive
  • Invasive – individual & species level
  • Scale limited

– (temporal and spatial)

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Part 1: Modelling dispersal

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Modelling dispersal

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14 16 18 (d) 14 16 18

Source reef Destination reef

Connectivity patterns

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Inter-annual variation

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Inter-specific variation

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Part 2: Dispersal and coexistence

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Coexistence needs differences

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Reef fish community theory

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Metacommunity simulation

  • Real distribution of reefs (P = 110)
  • Variable dispersal matrices (t = 1, …, 32 years)
  • Multiple species (S = 5)

– Identical competitors – Identical niches – Different dispersal behaviour Normally we would expect monodominance

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(%)

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  • Same model
  • Two species, identical at a local scale
  • Larval dispersal stages of slightly different lengths.
  • Three identical patches

Dispersal differences and coexistence

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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 one of the inter-patch distances

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Coexistence is possible if each species is a superior disperser over one of the inter-patch distances Mechanism has high predictive power for larger simulations

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Dispersal differences support coexistence that:

  • Is simple and intuitive
  • Driven by common factors
  • Can create quite complex patterns
  • Creates stable geographic replacement
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Mechanisms ¡ are ¡not ¡locally ¡

  • bservable. ¡
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Part 3: Economic perspectives on dispersal

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Measuring dispersal on Manus Island

Plectropomus areolatus. Source: FAO

Timonai Mbunai Pere Tawi Locha

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Bioeconomic scales on Manus

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Bioeconomic scales on Manus

Community tenure areas Spawning aggregation source areas

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Management question

  • What is the maximum annual equilibrium

harvest rate from each spawning aggregation?

  • How do dispersal externalities affect the

harvesting decision?

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Harvested population model

Plectropomus areolatus. Source: FAO

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Harvested population model

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Harvested population model

Simulation model Population estimates

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Independent communities

  • Each community chooses:

– a harvest rate on each of their aggregations, – that maximises total equilibrium harvest. – given that other communities act rationally.

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Harvests under different coalitions

  • Communities are highly heterogeneous
  • Describe coalition structures using

partitions

e.g., C0 = {{1} {2} {3} {4} {5}} C1 = {{1} {2},{3} {4,5}} C2 = {{1,2,3} {4,5}} CG = {1,2,3,4,5} – 52 unique coalition structures

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Harvest coalition size

  • Non-cooperative groups remove 12-25% / FSA /

yr

  • Cooperative harvests remove 10-17%
  • Grand coalition improve overall catch (by 15%)

and equilibrium population levels (by 70%)

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Harvest coalition size

  • The current scale of management on Manus

could lead to undesirable outcomes.

  • A grand coalition would result in an increase in

catches in every community, for much lower effort

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Grand coalition stability

Group 2 leaves coalition

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Grand coalition stability

  • The grand coalition surplus is insufficient for

a set of side-payments to yield rational cooperation.

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Smaller coalitions

  • The coalition between Locha and Pere is the only

Nash equilibrium (internal & external stability).

  • Almost all the resultant benefits are captured by

the adjacent communities: Tawi and Mbunai

Timonai Mbunai Pere Tawi Locha

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Economic impacts of larval dispersal

  • The scale of larval dispersal creates

interconnections between communities

  • The dissonant scales causes problems.

– Too much dispersal to ignore each other – Too much dispersal to want to cooperate – Not enough dispersal to provide necessary surplus

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Collaborators

  • Maurice James
  • Paul Armsworth
  • Glenn Almany
  • Lance Bode
  • Rick Hamilton
  • Luciano Mason
  • Geoff Jones
  • David Williamson