Michael Bode ARC Centre of Excellence for Environmental Decisions, University of Melbourne mbode@unimelb.edu.au
Larval dispersal in reef fishes: biology, ecology, economics Michael - - PowerPoint PPT Presentation
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
SLIDE 1
SLIDE 2
Early research into tropical fish communities
SLIDE 3
i
Population dynamics on a single patch
Nonlinear dynamics in the absence of dispersal:
SLIDE 4
Population dynamics on a single patch
Recruitment limitation:
Doherty (1991) Ecology of Fishes on Coral Reefs
SLIDE 5
Population dynamics on multiple patches
SLIDE 6
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
SLIDE 7
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
SLIDE 8
- P. maculatus. Harrison et al. (2012) Current Biology
Measuring dispersal
SLIDE 9
- Resource intensive
- Invasive – individual & species level
- Scale limited
– (temporal and spatial)
SLIDE 10
Part 1: Modelling dispersal
SLIDE 11
Modelling dispersal
SLIDE 12
14 16 18 (d) 14 16 18
Source reef Destination reef
Connectivity patterns
SLIDE 13
SLIDE 14
Inter-annual variation
SLIDE 15
Inter-specific variation
SLIDE 16
Part 2: Dispersal and coexistence
SLIDE 17
Coexistence needs differences
SLIDE 18
Reef fish community theory
SLIDE 19
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
SLIDE 20
(%)
SLIDE 21
- Same model
- Two species, identical at a local scale
- Larval dispersal stages of slightly different lengths.
- Three identical patches
Dispersal differences and coexistence
SLIDE 22
Dispersal differences and coexistence
SLIDE 23
Dispersal differences and coexistence
SLIDE 24
Coexistence is possible if each species is a superior disperser over one of the inter-patch distances
SLIDE 25
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
SLIDE 26
Dispersal differences support coexistence that:
- Is simple and intuitive
- Driven by common factors
- Can create quite complex patterns
- Creates stable geographic replacement
SLIDE 27
Mechanisms ¡ are ¡not ¡locally ¡
- bservable. ¡
SLIDE 28
Part 3: Economic perspectives on dispersal
SLIDE 29
Measuring dispersal on Manus Island
Plectropomus areolatus. Source: FAO
Timonai Mbunai Pere Tawi Locha
SLIDE 30
Bioeconomic scales on Manus
SLIDE 31
Bioeconomic scales on Manus
Community tenure areas Spawning aggregation source areas
SLIDE 32
Management question
- What is the maximum annual equilibrium
harvest rate from each spawning aggregation?
- How do dispersal externalities affect the
harvesting decision?
SLIDE 33
Harvested population model
Plectropomus areolatus. Source: FAO
SLIDE 34
Harvested population model
SLIDE 35
Harvested population model
Simulation model Population estimates
SLIDE 36
Independent communities
- Each community chooses:
– a harvest rate on each of their aggregations, – that maximises total equilibrium harvest. – given that other communities act rationally.
SLIDE 37
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
SLIDE 38
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%)
SLIDE 39
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
SLIDE 40
Grand coalition stability
Group 2 leaves coalition
SLIDE 41
Grand coalition stability
- The grand coalition surplus is insufficient for
a set of side-payments to yield rational cooperation.
SLIDE 42
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
SLIDE 43
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
SLIDE 44
Collaborators
- Maurice James
- Paul Armsworth
- Glenn Almany
- Lance Bode
- Rick Hamilton
- Luciano Mason
- Geoff Jones
- David Williamson