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Decision support systems for Great Barrier Reef managers Cathy Dichmont CSIRO Oceans and Atmosphere PROGRAM OVERVIEW 9.1: Dynamic vulnerability maps and decision support tools for the Great Barrier Reef ( Ken Anthony, AIMS ) 9.2: Design and


  1. Decision support systems for Great Barrier Reef managers Cathy Dichmont CSIRO Oceans and Atmosphere

  2. PROGRAM OVERVIEW • 9.1: Dynamic vulnerability maps and decision support tools for the Great Barrier Reef ( Ken Anthony, AIMS ) • 9.2: Design and implementation of Management Strategy Evaluation for the Great Barrier Reef inshore (MSE ‐ GBR) ( Cathy Dichmont, CSIRO ) • 9.3: Prioritising management actions for Great Barrier Reef islands ( Bob Pressey, JCU ) • 9.4: Conservation planning for a changing coastal zone ( Bob Pressey, JCU )

  3. DECISION SUPPORT TOOLS – WHY? • Complex systems • Cumulative impacts • Overlapping scales • Need a suite of tools – Tactical vs strategic – Local vs regional vs GBR – Qualitative vs semi ‐ quantitative vs quantitative

  4. Project 9.1 -Framework SCENARIO MODELLING LOCAL / REGIONAL GLOBAL / REGIONAL Land-use Coastal Ocean Cyclones OA practices development warming DECISION Run-off and nutrient Coral bleaching ANALYSES export and disease Management Algal COTS options / growth alternatives Coral Coral growth & mortality recovery Review of results against objectives : min vulnerability & Coral vulnerability Coral resilience max resilience ECOSYSTEM MODEL

  5. PROJECT 9.1: INPUT SCENARIOS Climate change & storms Management potential All stressors combined Areas that can give returns on management investment k.anthony@aims.gov.au

  6. PROJECT 9.2: MULTI ‐ CRITERIA DECISION ANAYSIS OBJECTIVES OBJECTIVES • Hierarchy • Hierarchy QUALITATIVE QUALITATIVE • Relative importance • Relative importance MODELLING MODELLING MANAGEMENT MANAGEMENT STRATEGIES STRATEGIES RELATIVE IMPACT RELATIVE IMPACT • Information • Information • Issues • Issues • Actions • Actions

  7. QUALITATIVE MODEL PROJECT 9.2 COASTAL DEVELPMENT

  8. HIGH LEVEL OBJECTIVES Repulse Bay to Clairview (Mackay) 1.0 0.8 Importance weight 0.6 0.4 0.2 0.0 Environment Governance Well − being Objective

  9. PROJECT 9.2 ‐ HIGH LEVEL OBJECTIVES

  10. PROJECT 9. 2 ‐ OVERALL RELATIVE IMPACT Reference Group Managers

  11. PROJECT 9.3 ‐ DATABASES • Biological records for southern GBR National Park Islands o More than 30,900 records from 204 islands o Years: 1843 to 2014 o Native animal species (plants later) – overwhelmingly birds o Alien plants and animals o Records to be culled for quality, e.g. date 1468 321 Alien species ‐ animals Native species Alien species ‐ plants 29153

  12. PROJECT 9.4 ‐ SPATIAL SCENARIOS Land use scenarios • 1 st step: Coastal zone definition • 2 nd step: Spatial scenarios RTC TH • 3 rd step: Cumulative impact assessments • 4 th step: Goals and Marine scenarios objectives =Marine consequences • 5 th step: Prioritisation (raster maps for decisions each impact, eg shipping) Shipping traffic

  13. PROJECT 9.4 – BAYESIAN BELIEF NETWORKS • 1 st step: Coastal zone definition • 2 nd step: Spatial scenarios • 3 rd step: Cumulative Sediment sub-model Toxicity sub-model impact assessments • 4 th Goals and Growth sub-model objectives Habitat sub-model • 5 th : Prioritisation decisions

  14. WHAT HAVE WE LEARNT • Stakeholder engagement is essential • Both local and large ‐ scale decision support systems are needed • Tools/Methods – Priority areas for management – Priority actions for management

  15. NEXT STEPS? • Further develop tools • Overarching framework of how the DSS fit together • Link with social and economic work • Need to link with tools being developed outside NERP for example – eReefs models – Models of Intermediate Complexity of Ecosystems (MICE ‐ Morello et al. in press. MEPS – GBR ‐ Atlantis

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