Dynamic resilience in landscape exploitation systems Cameron Fletcher, David Hilbert, Andrew Higgins, Peter Roebeling, John Ludwig - PowerPoint PPT Presentation

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Dynamic resilience in landscape exploitation systems Cameron Fletcher, David Hilbert, Andrew Higgins, Peter Roebeling, John Ludwig

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Title: Dynamic resilience in landscape exploitation systems Cameron Fletcher, David Hilbert, Andrew Higgins, Peter Roebeling, John Ludwig


1
Dynamic resilience in landscape exploitation
systems Cameron Fletcher, David Hilbert, Andrew
Higgins, Peter Roebeling, John Ludwig
  • CSIRO Sustainable Ecosystems
  • CSIRO Complex Systems Science
  • Emerging Science Area

2
Synopsis
  • Important points
  • We have created a dynamic, generic model of
    landscape exploitation systems
  • We analyse the topology of state space to
    summarize properties across all systems
  • We aim to analyse these systems at multiple
    scales, across multiple objectives
  • Definition
  • Landscape exploitation systems are systems in
    which human beings harvest a renewable natural
    resource using human-made capital to create an
    economic good. They are therefore very general,
    including hunting-gathering, swidden agriculture,
    grazing and intensive agriculture systems.

3
Outline
  • Synopsis
  • ? Motivation
  • Predator-prey analogy
  • Exploitation systems
  • Model structure
  • State space topology
  • First results
  • Multi-objective optimization
  • A spatial mosaic

4
Motivation
5
Outline
  • Synopsis
  • Motivation
  • ? Predator-prey analogy
  • Exploitation systems
  • Model structure
  • State space topology
  • First results
  • Multi-objective optimization
  • A spatial mosaic

6
The predator-prey analogy
7
A model exploitation system
8
Outline
  • Synopsis
  • Motivation
  • Predator-prey analogy
  • ? Exploitation systems
  • Model structure
  • State space topology
  • First results
  • Multi-objective optimization
  • A spatial mosaic

9
A range of generic systems
10
Outline
  • Synopsis
  • Motivation
  • Predator-prey analogy
  • Exploitation systems
  • ? Model structure
  • State space topology
  • First results
  • Multi-objective optimization
  • A spatial mosaic

11
The local model
Consuming natural capital
Natural capital growth Intrinsic growth - Consumption
Human-made capital growth Reinvestment - Depreciation
Natural capital growth Intrinsic growth - Consumption
Human-made capital growth f(Consumption) - Depreciation
12
The local model
Intrinsic growth
Consumption
Savings rate
Depreciation
Production
13
Making a choice
Reinvestment Savings Fraction x Profit
14
Outline
  • Synopsis
  • Motivation
  • Predator-prey analogy
  • Exploitation systems
  • Model structure
  • ? State space topology
  • First results
  • Multi-objective optimization
  • A spatial mosaic

15
Space-space topology
16
Space-space topology
17
Space-space topology
State space topology
18
Outline
  • Synopsis
  • Motivation
  • Predator-prey analogy
  • Exploitation systems
  • Model structure
  • State space topology
  • ? First results
  • Multi-objective optimization
  • A spatial mosaic

19
First results simple strategies
20
Results
21
Results
Economic (solid), basin size (dashed) and return
time (dotted) performance
22
Outline
  • Synopsis
  • Motivation
  • Predator-prey analogy
  • Exploitation systems
  • Model structure
  • State space topology
  • First results
  • ? Multi-objective optimization
  • A spatial mosaic

23
Multi-objective optimization
  • Multi-objective optimization
  • We can investigate dynamic qualities like
    resilience
  • We can investigate traditional measures like
    profits
  • Is there a formal way to combine out
    investigations of both?

24
Results Multi-objective optimization
Trade-offs between dynamic and economic
performance
25
Outline
  • Synopsis
  • Motivation
  • Predator-prey analogy
  • Exploitation systems
  • Model structure
  • State space topology
  • First results
  • Multi-objective optimization
  • ? A spatial mosaic

26
Spatial systems
  • Spatial systems
  • Region built up of independent farms, with
    independent exploiters, each with their own
    management strategies and goals
  • Management strategies and goals are functions of
    economic and social forces across the region, and
    they change with time
  • How does the behaviour of the total system emerge
    from the many diverse local behaviours?

27
Spatial systems and multi-scale optimization
  • Multi-scale optimization
  • Across a spatial system, each exploiter will
    manage towards different optima
  • In addition, the global system will exert some
    pressure to find a social optimum
  • Can we capture this multi-scale optimization
    using the tools we have developed?

28
Thank You
  • CSIRO Sustainable Ecosystems
  • Name Cameron Fletcher
  • Title Ecological Modeller
  • Phone 61 7 4091 8820
  • Email Cameron.Fletcher_at_csiro.au
  • Web www.csiro.au

CSIRO Sustainable Ecosystems Name David
Hilbert Title Ecological Modeller Phone 61 7
4091 8835 Email David.Hilbert_at_csiro.au Web www.csi
ro.au
Contact CSIRO Phone 1300 363 400 61 3 9545
2176 Email enquiries_at_csiro.au Web www.csiro.au
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