Climate Change Adaptation: An Australian Perspective Professor Tim - - PowerPoint PPT Presentation
Climate Change Adaptation: An Australian Perspective Professor Tim - - PowerPoint PPT Presentation
Climate Change Adaptation: An Australian Perspective Professor Tim Smith Director, Sustainability Research Centre NZCCRI Seminar Series, Victoria University of Wellington, 13 December 2011 Inter-generational equity Water Biodiversity
Inter-generational equity Intra-generational equity Poverty Biodiversity Waste Consumption Globalisation Pollution Water Population
“As for the future, your task is not to foresee it but to enable it”
Saint-Exupery, A de 1952, The Wisdom of the Sands, Hollis & Carter, London (UK Edition).
Antoine De Saint-Exupery
- Complexity, uncertainty and high decision stakes
leading to changes in:
– The science-policy-community interface – Research approaches
Context for climate change adaptation
Climate change: what we know
- Hotter
- Sea level rise
- More extreme events:
– More intense storms – More intense floods – More intense storm surge
Australia is a coastal nation
- 85% of Australia’s population reside within 50km of the
coastline
- up to 247 600 existing residential buildings will be at
risk from sea inundation by 2100 under a sea-level rise scenario of 1.1m*
* Climate Change Risks to Australia’s Coasts Report
Is it really that bad?
Sea level rise is relatively easy ... it’s the extreme events that are the major worry!
Is it really that bad?
Some examples of different outcomes
North Queensland versus South East Queensland Fatalities:
- North Queensland (cyclone Yasi) = 1
- South East Queensland (floods) = >20
- Brazil (floods) = >700
Japan versus Indonesia Fatalities:
- Japan (Tsunami and earthquake) = >20 000
- Indonesia (Tsunami) = >200 000
Understanding vulnerability
- Eg. increased temperature
- Eg. elderly
- Eg. social networks
Adapted from Allen Consulting 2005, after IPCC 2001
Allen Consulting 2005 Climate Change Risk and Vulnerability, Australian Greenhouse Office, Department of the Environment and Heritage, Canberra, Australia. Intergovernmental Panel on Climate Change (2001). In: McCarthy, J., Caziani, O., Leary, N., Dokken, D. & White,
- K. (eds.) Climate change 2001: Impacts, adaptation, and vulnerability. Cambridge: Cambridge University Press.
Past science focus exposure sensitivity Adaptive capacity Potential harm Vulnerability
From planning to implementation
Climate adaptation strategy Effective Implementation Adaptive Capacity
Adaptive capacity
- Refers to what is needed to adapt:
– Access to resources – Education – Social networks
Responding to climate change is a social process
Evolution of adaptive capacity thinking
Daffara, P ., Keys, N. and Smith, T . F . 2009, Critical Review
- f
Adaptive Capacity Literature, Report prepared for the National Climate Change Adaptation Research Facility , Brisbane.
Daffara et al., 2009
Dominance of biophysical assessments of climate change Recognition of the importance of adaptive capacity Focus on searching for generic determinants of adaptive capacity Recognition of the importance of context Recognition of the need for case studies of adaptive capacity determinants Emerging discourse of the relationships between adaptive capacity determinants
Conceptual model of adaptive capacity
Daffara et al., 2009
Generic determinants of adaptive capacity Context-specific determinants
- f adaptive capacity
External influences on adaptive capacity
- Environmental change
- Socio-economic change
- May have positive or
negative influences depending on the context
- Often assumed
- Relationships not explored
Drivers of climate change impacts Climate change drivers:
- Wind, sea level rise, rainfall, temperature
Other drivers:
- Population movements (eg. migration)
- Population characteristics (eg. education)
- Economic conditions (eg. ability to raise funds)
- Legislative and policy frameworks
Coastal Population Growth Projections
Australian sea change regions (local government area, State) Projected population change (2002 to 2022) Projected population in 2022 Sunshine Coast, Queensland 80% increase 450,000 Surf Coast, Victoria 71% increase 30,572 Douglas Shire, Queensland 65% increase 17,365 Augusta-Margaret River, Western Australia 64% increase 16,513
Smith and Thomsen 2008, adapted from ABS 2001, and QDIP 2008
Smith, T. F. and Thomsen, D. C. (2008) “Understanding Vulnerabilities in Transitional Coastal Communities”, In Wallendorf, L., Ewing, L., Jones, C. and Jaffe, B. (eds.) Proceedings of Solutions to Coastal Disasters 2008, April 13-16, Hawaii: American Society of Civil Engineers, pp. 980-989. Australian Bureau of Statistics (2001) Population Projections by SLA (ASGC 2001), 2002-2022. Canberra: Commonwealth Department of Health and Ageing. Queensland Department of Infrastructure and Planning (QDIP) (2008) Sunshine Coast population and housing fact sheet. Brisbane: Queensland Department of Infrastructure and Planning, February 2008.
Population at risk in South East Queensland
Risk of inundation from a 1-in-100 year storm surge event:
- Current risk
270 000 people (10% of current population)
- Risk in 2030 without population growth
378 000 people
- Risk in 2030 with projected population growth of 60%
616 000 people
This material was prepared by Xiaoming Wang, Mark Stafford Smith, Ryan McAllister, Anne Leitch, Steve McFallan, Seona Meharg of CSIRO‟s Climate Adaptation Flagship, based on research in the „South East Queensland Climate Adaptation Research Initiative‟, analysis of readily available information and expert knowledge to provide a realistic assessment of the issues covered.
Illustration of how adaptation can expand the coping range of an activity/sector/species and therefore expand the coping range and reduce vulnerability to climate change
Jones & Mearns 2005
Vulnerability-based Risk Assessment of Climate Change
Resilience framework
- eg. ability to re-organise and renew
Vulnerability framework
- eg. reducing harm
Sustainability framework
- eg. inter-generational equity
Adaptation discourses
Evolution of climate change science
Performance Time Climate change science (1st Curve) Mono-disciplinarity Adaptation science (2nd Curve) Trans-disciplinarity Next shift (3rd Curve) – Resilience science? Holism? A B C
Daffara et al., 2009
Adaptation pathways
Characteristics of Resource Dilemmas
SLIM, 2002
SLIM, 2004
Alternative models of knowledge construction
Post-normal science
- Recognition of uncertainty
- Value-laden
- Participatory
Kuhn, 1962; Funtowicz and Ravetz, 1991; Ravetz, 1999
Kuhn, T. S. 1962. The Structure of Scientific Revolutions. Chicago: The University of Chicago Press. Funtowicz, S. O. and Ravetz, J. R. 1991, „A new scientific methodology for global environmental issues‟, In Costanza, R. (ed.), Ecological Economics: The Science and Management of Sustainability, pp. 137-152. Columbia University Press, New York. Ravetz, J. R. 1999, „What is post-normal science?‟, Futures, 31, pp. 647-653.
Post-normal science
Smith 2009 after Ravetz, 2006
Post-normal science Decision stakes Professional consultancy Uncertainty Applied science
Responding to sustainability
- The compass
- The gyroscope
- social learning
Kai Lee 1993; Milbrath 1989; Smith & Lazarow 2007
Lee, K. 1993, The Compass and the Gyroscope, Island Press, Washington DC. Milbrath, L. W. 1989, Sustainable Society: Learning Our Way Out, SUNY University Press, New York. Smith, T. F. and Lazarow, N. S. 2007, „Social Learning and the Adaptive Management Framework‟, Journal
- f Coastal Research, SI 39.
What is being done?
- 1. Australian Department of Climate Change & Energy Efficiency
- 2. National Climate Change Adaptation Research Facility
- 3. The CSIRO Climate Adaptation National Research Flagship
- 4. Australian Research Council
1. Sydney climate change adaptation initiative (Dept of Climate Change) 2. Coastal Adaptation Pathways Program, Multi-criteria analysis for coastal adaptation decision-making (Dept of Climate Change) 3. National Climate Change Adaptation Research Facility
a) Partner in the Facility b) Lead the Communities Theme of the Marine Biodiversity & Resources Network c) Part of the Socio-economic and Institutional Network d) Co-authored National Adaptation Research Plan for Human Settlements e) Synthesis project: Nature and Utility of Adaptive Capacity Research
4. Australian Research Council Discovery project: Household vulnerability index (Griffith, USC, Flinders) 5. CSIRO Coastal Collaboration Cluster (7 universities, $10m over 3 years) 6. SEQ Climate Adaptation Research Initiative (CSIRO, Griffith, USC, UQ; funded by CSIRO Collaboration Fund, DCC, Qld govt, $14m over 3 years)
Examples of climate change projects
Sydney Climate Change Adaptation Initiative
Aim:
- To develop and trial a method for a
systems approach to regional climate change adaptation strategies in large urban areas Researchers:
Tim Smith, Ben Preston, Cassandra Brooke, Russell Gorddard, Tom Measham, Geoff Withycombe, Beth Beveridge, Debbie Abbs, Kathy McInnes, and Craig Morrison
“Systems Approach to Regional Climate Change Adaptation Strategies in Metropolises”
- To study these systems we need to look at:
– Drivers of change – Relays of change – Impacts on sustainability – Management responses
An integrated approach
Systems approaches
- From disciplinary to trans-disciplinary
- From reductionist to whole of ecosystem science
- Ways of looking at the whole rather than the parts
– A language for systemic rather than linear thinking – Building shared understanding of the system Acknowledgement to Russell Gorddard (CSIRO) for some of the following slides
Identifying key interventions
Adapted from Godet, 1994
Godet, M. (1994). From anticipation to action: A handbook of strategic prospecting. UNESCO Publishing.
influence dependence drivers relays impacts
Relative vulnerability mapping
System conceptualisation
System conceptualisation
Horrendagram
Rainfall Heat Storm Surge Storm Water Managem ent Open Space Managem ent Coastline Managem ent Natural Areas Managem ent
Development Control
Urban Planning Health Plan Transport System Plan Waste Managem ent Pollution Control Em ergancy Managem ent Com m uncation Plan Education (Managem ent)/ Capacity Building / Social Plan Weed Managem ent Water Conservation Managem ent Infrastructure Planning Financial Plan Data Collection Carbon Plan Econom ic Prosperity Legislation Fram e Work Lobbying Funding / Grants Bushland Managem ent Neighboring Councils State Govenm ent Policy Sea Level Rise Drought Population Political Will Topography Foreshore Dam age Com m unity Evacuation Disease / Health Im pacts Acid Sulphate Soils Sewage Ecosysem s Flooding
Infrastructure
Financial Im pacts Housing Am enity Social Breakdown Vulnerable Com m unities Com m unity Behavior Strategic Plan
System conceptualisation
Infrastructure Amenity Economic Prosperity Financial Impacts Flooding Community Evacuation (Economic Prosperity) Housing (Infrastructure) Social Breakdown
System conceptualisation
In fras tru ctu re F lo o d in g C o m m u n ity B eh av io r (In fras tru ctu re) N eig h b o rin g C o u n cils R ain fall S ea L ev el R is e S tate G o v en m en t P o licy S to rm S u rg e T o p o g rap h y F u n d in g / G ran ts (S tate G o v en m en t P o licy ) (S trateg ic P lan ) H eat P o p u latio n (S tate G o v en m en t P o licy ) S to rm W ater M an ag em en t D ev elo p m en t C o n tro l E m erg an cy M an ag em en t (R ain fall) S trateg ic P lan B u s h lan d M an ag em en t C o as tlin e M an ag em en t D ata C o llectio n F in an cial P lan H ealth P lan In fras tru ctu re P lan n in g N atu ral A reas M an ag em en t (N eig h b o rin g C o u n cils ) P o litical W ill (P o p u latio n ) (S tate G o v en m en t P o licy ) T ran s p o rt S y s tem P lan U rb an P lan n in g W as te M an ag em en t W eed M an ag em en t
Priority issues
Rainfall Heat Storm Surge Storm Water Managem ent Open Space Managem ent Coastline Managem ent Natural Areas Managem ent
Development Control
Urban Planning Health Plan Transport System Plan Waste Managem ent Pollution Control Em ergancy Managem ent Com m uncation Plan Education (Managem ent)/ Capacity Building / Social Plan Weed Managem ent Water Conservation Managem ent Infrastructure Planning Financial Plan Data Collection Carbon Plan Econom ic Prosperity Legislation Fram e Work Lobbying Funding / Grants Bushland Managem ent Neighboring Councils State Govenm ent Policy Sea Level Rise Drought Population Political Will Topography Foreshore Dam age Com m unity Evacuation Disease / Health Im pacts Acid Sulphate Soils Sewage Ecosysem s Flooding
Infrastructure
Financial Im pacts Housing Am enity Social Breakdown Vulnerable Com m unities Com m unity Behavior Strategic Plan
Development Control Infra rastru ructure
Barriers and opportunities
Issue: Infrastructure Potential impact: (very low – low – medium – high – very high) Capacity to manage: (very low – low – medium – high – very high)
Barriers Opportunities
Aging infrastructure $$ high cost of maintenance and low capacity to fund new infrastructure No standards re capacity required Restricted space and scope to increase capacity / Brownfield Political cutting back S94 funds Uncertainty of science – planning for future needs Topography Some infrastructure would have adverse impacts on the City Forced reliance on other infrastructure provides for institutional barriers, competing interests, legislative inconsistencies Good cross-unit linkages internally New development brings funding opportunities and opportunities to ensure climate change needs are met (S94) Improved Technology, design, higher standards Good frame works for funding and gaining new infrastructure (legislation) Share information with other organisation and councils Innovative thinking New technology to improve environmental
- utcomes e.g. Stormwater reuse
Proximity to public transport though fare to City Special Levy (to ensure climate change needs are met) and storm water levy
Barrier Number of times cited Community 33 Infrastructure 31 Planning 29 Water 23 Funds / funding 21 Development 17 State 15 Council 12 Political 11 Transport 10 Government 9 Knowledge 8 Flooding 5
Regional barriers
Case study results
- Climate change adaptation is an emerging issue (focus on
mitigation)
- Climate change was usually the responsibility of environmental
divisions within local government
- The role of local government in addressing climate change is
poorly defined
- Climate change is mostly ignored in the process of regulating
development
- There is little understanding within councils about the level of
vulnerability to climate change impacts
- There is an absence of systematic monitoring and evaluation
Actions to build adaptive capacity
Stream Name Description of Covered Actions
“Know Your Enemy” Enhancing understanding regarding existing and future climate hazards and social and ecological vulnerability “Plan for Change” Incorporating climate change into existing and novel Local Government planning frameworks “Get Smart” Implementing education and outreach programs to increase the knowledge of Council and the broader community with respect to climate change, vulnerability and adaptation “Act, Watch and Learn” Implementing monitoring, evaluation and reporting measures for Local Government to track outcomes with respect to policies and measures associated with climate adaptation “Put the House in Order” Developing both internal and external institutional arrangements that build adaptive capacity within and across Councils and other levels of government “Money Talks” Enhancing revenue streams to Councils to assist in financing adaptation and cost-sharing mechanisms to spread the burden among multiple tiers of government
SEQ Climate Adaptation Research Initiative AU$14 m initiative over 3 years
- The CSIRO Climate Adaptation National Research Flagship
- The Queensland State Government
- The Australian Government Department of Climate Change
- Griffith University
- The University of the Sunshine Coast
- The University of Queensland
SEQ Climate Adaptation Research Initiative
From planning to implementation
Climate adaptation strategy Effective Implementation Adaptive Capacity
Building adaptive capacity in SEQ
- 1. Identifying relevant socio-economic patterns and trends
- 2. Historical analysis of adaptation
- 3. System conceptualisation – identifying the perceived
and likely vulnerabilities of each sector
- 4. Identifying the key attributes of adaptive capacity
- 5. Designing cost effective strategies to enhance adaptive
capacity that include institutionalised monitoring, evaluation and learning
- 1. Socio-economic trends
- Population grew significantly (19%) between 1996 and 2006
Trends set to continue (57% projected increase to 2031)
- The growing population, in particular increasing densities in
high risk coastal urban areas, is a cause for concern for climate change adaptation
- Projections also show a doubling of lone person households
and an increase of at least 60% for one parent family households across the region
- 2. Historical Analysis of Adaptive Capacity
- 9 determinants of adaptive capacity across 33 cases
* Complexity * Values * Imagination * Leadership * Technology * Information * Institutions * Knowledge * Scale
- These determinants play out in unique ways according to
context
- Interventions in the personal, technological, social and
cultural domains are required for a whole of system response to climate change
- 3. System conceptualisation
Rainfall Heat Storm Surge Storm Water Managem ent Open Space Managem ent Coastline Managem ent Natural Areas Managem ent
Development Control
Urban Planning Health Plan Transport System Plan Waste Managem ent Pollution Control Em ergancy Managem ent Com m uncation Plan Education (Managem ent)/ Capacity Building / Social Plan Weed Managem ent Water Conservation Managem ent Infrastructure Planning Financial Plan Data Collection Carbon Plan Econom ic Prosperity Legislation Fram e Work Lobbying Funding / Grants Bushland Managem ent Neighboring Councils State Govenm ent Policy Sea Level Rise Drought Population Political Will Topography Foreshore Dam age Com m unity Evacuation Disease / Health Im pacts Acid Sulphate Soils Sewage Ecosysem s Flooding
Infrastructure
Financial Im pacts Housing Am enity Social Breakdown Vulnerable Com m unities Com m unity Behavior Strategic Plan
Community Re Resilience and Capacity
Community Resilience & Capacity Mitigation Planning & Preparedness Response Capacity Recovery Capacity Aware- Prepared Community Apathy (motivation) Adequacy of Resources Infrastructure (coping) Socio- Economic Status Community Support Networks
- 4. Determinants of adaptive capacity (BBN)
60% 20% 20% 80% 20% 50% 50% 50% 50%
- Self-Recovery
- Aided-Recovery
- Proactive
- Reactive
- Manageable
- Overwhelming
- Independent
- Dependent
Conditional Probability Table
Mitigation Planning & Preparedness Response Capacity Recovery Capacity Community Resilience & Capacity SELF-RECOVERY AIDED-RECOVERY PROACTIVE MANAGEABLE INDEPENDENT PROACTIVE MANAGEABLE DEPENDENT PROACTIVE OVERWHELMING INDEPENDENT PROACTIVE OVERWHELMING DEPENDENT REACTIVE MANAGEABLE INDEPENDENT REACTIVE MANAGEABLE DEPENDENT REACTIVE OVERWHELMING INDEPENDENT REACTIVE OVERWHELMING DEPENDENT Mitigation Planning & Preparedness Response Capacity Recovery Capacity Community Resilience & Capacity SELF-RECOVERY AIDED-RECOVERY PROACTIVE MANAGEABLE INDEPENDENT 85% 15% PROACTIVE MANAGEABLE DEPENDENT 70% 30% PROACTIVE OVERWHELMING INDEPENDENT 80% 20% PROACTIVE OVERWHELMING DEPENDENT 70% 30% REACTIVE MANAGEABLE INDEPENDENT 80% 20% REACTIVE MANAGEABLE DEPENDENT 60% 40% REACTIVE OVERWHELMING INDEPENDENT 60% 40% REACTIVE OVERWHELMING DEPENDENT 50% 50%
Competing mandates
- Australia: Largest coal exporter in the world (35% of
market share=$50bn)
- Coal not exported is primarily used for domestic
energy supply
- Focus on (short-term) economic growth
How can institutions for sustainability compete?
Institutional complexity
Wet Tropics World Heritage Area Freehold Land Provincial Boundary Grazing Land, leasehold Regional Coastal Management Plan
Source: Jenny Bellamy
Environmentally Relevant Activity: EPA Major Rock Wall Voluntary Conservation Agreement Wetland: Code of Practice for sustainable Cane Growing Declared Fish Habitat Area Fish Habitat Code of Practice Works in tidally affected areas Bed/banks River Marine Plants Recreation Area Management Act Coastal Control District Wetland Voluntary Conservation Agreement Sugar Cane: Sugar Industry Act
Nested adaptation
Adaptation Conservation agendas Development agendas Economic growth agendas International agendas Equity agendas
Key questions for scoping the future
- What future/s do we want?
- How do we achieve it? – back casting
- Where are we heading? – current trajectories
- How should we be responding?
- How can we learn to alter and monitor our
trajectories?
Adaptation goals
Adaptive capacity complicaters
Biological mind Biased to: Disconnection Proximity Simplicity Certainty Discrepancy Worldview mind Biased to: Atomism Mechanism Anthropocentrism Rationalism Individualism Contemporary mind Biased to: Efficiency Growth Secularism Narcissism Techno-optimism Psychodynamic mind Biased to: Repression Denial Projection Rationalisation Insulation The unsustainable mind
Gladwin, T., Newburry, W. and Reiskin, E. 1997, „Why is the Northern Elite Mind Biased Against Community, the Environment and a Sustainable Future?‟, In: Bazerman, M., Messick, D., Tenbrunsel, A. and Wade-Benzoni, K. (eds) Environment, Ethics and Behaviour, The New Lexington Press, San Francisco, pp. 234-274.
Learning
Biggs, J. 1999, Teaching for Quality Learning at University, Society for Research into Higher Education & Open University Press, Buckingham.
Higher order learning Lower order learning
theorising conceptualising recognising memorising reflecting applying note-taking
Contextual Learning Framework
Learning type Learning process Learner outcomes System outcomes
Prestructural Not specified
- Misses point
No outcome Unistructural One-way information transfer
- Identifies
- Follows
procedure Information distribution Multistructural Multi-way information transfer
- Enumerates
- Describes
- Combines
Describes system Systems thinking Transformative information
- Compares and
contrasts
- Explains causes
- Analyses
- Relates
- Applies
Improves knowledge
- f system
Extended systems thinking Transformative knowledge
- Theorises
- Hypothesises
- Reflects
Improves system
Smith & Thomsen 2006
Smith, T. F. and Thomsen, D. C. 2006, „Institutionalising Adaptive Learning For Coastal Management‟, in Lazarow, N., Souter, R., Fearon, R. and Dovers, S. (eds.) 2006, Coastal Management in Australia: Key institutional and governance issues for coastal natural resource management and planning, CRC for Coastal Zone, Estuary and Waterway Management, Brisbane, pp. 115-120.
Enhancing sustainability
Futures focus Proactive learning Today focus Reactive learning Post-normal science Systems thinking Normal science Reductionist science Transforming data to information to knowledge to impact to wisdom Transition Enhancing sustainability Integration
Smith, T. F. 2009
A neo-research approach to enhance climate change adaptation, In Martin, J. (ed.) Climate Change Responses across Regional Australia: Social Learning and Adaptation. VURRN Press, Victoria
Enhancing adaptive capacity
- Focus often on:
– measuring and predicting biophyscial changes – Developing new technologies
- Meaningless without understanding and enhancing