Download pptx - Murray-Darling Basin

Transcript
Page 1: Murray-Darling Basin

Developing the Basin PlanNatStats 2010 Conference

Rob Freeman, Chief ExecutiveSydney, 16 September 2010

Page 2: Murray-Darling Basin

Murray-Darling Basin• Directly supports 3 million people.• Feeds approximately 20 million people.• Significant environmental values.• 14% of Australia.• Australia’s three longest rivers.• 40% Australia’s farmers.• Agricultural exports earn $9 bil/year.• Gross value of agricultural production $15 bil

(40% Australia).• Home to 34 major Indigenous groups.

Page 3: Murray-Darling Basin

Current Planning

Total Water Water Use

Historical Climate 23,417 11,327 (48%)

2030 Median Climate 20,936 10,876 (52%)

2030 Dry Extreme 15,524 8,962 (58%)

(CSIRO Water Availability – 2008)

Page 4: Murray-Darling Basin

Ecosystem Health Assessments by Valley, 2004-2007

Page 5: Murray-Darling Basin

Key Elements of the Basin PlanPage 8 of the Concept Statement

Page 6: Murray-Darling Basin

Conceptual Cycle

• Identify Key Environmental Assets and Key Ecosystem Functions.

• Determine environmental water requirements of the Key Environmental Assets and Key Ecosystem Functions.

• Calculate possible SDL.• Assess socio-economic impact.• Consider alternative scenarios.• Implement through Environmental Watering

Plan.• Simplicity belies complexity.

Page 7: Murray-Darling Basin

Data Sets

Ecological dataVariable, multiple formats, different emphasis.

Hydrological dataDetailed, comprehensive.[CSIRO Sustainable Yields – foundation].

Social and Economic dataThe big challenge!

Page 8: Murray-Darling Basin

Paroo IQQMWarrego IQQM Nebine IQQM

Condamine MODFLOW

Middle Condamine IQQM

St George SGCS13NT

Lower Balonne IQQM

Upper Condamine IQQM

Border R. and Mac B. IQQMBorder Rivers MODFLOW

Moonie IQQM

Gwydir IQQMLower Gwydir MODFLOW

Eastern Mt Lofty Ranges 6*WATERCRESS

DailyWeeklyMonthly

Barwon-Darling IQQM

Menindee IQQM

Peel IQQMUpper Namoi MODFLOW

Namoi IQQMLower Namoi MODFLOWMacq-Castlereagh 6*IQQMMacquarie MODFLOW

Wimmera REALMLachlan IQQMMid-Lachlan MODFLOWLower Lachlan MODFLOW

Ovens REALMGSM REALM

Avoca REALMSnowy SIM_V9

Murray BigModMurray MSM

Southern Riverine Plains MODFLOW

Upper Bidgee IQQMACTEW REALM

Mid Bidgee MODFLOW

Bidgee IQQMLower Bidgee MODFLOW

MDB Surface and groundwater models

Page 9: Murray-Darling Basin

The Role of Social and Economic Data

• Describe the social and economic fabric of the Basin [ABS / ABARE / BRS Report – Sep 2009].

• Understand the social and economic impacts of new public policy at community, regional, Basin, State and National levels.

• Communicate these impacts using common metrics and analysis at these scales.

• ‘Best available scientific knowledge and socio-economic analysis’ (Water Act 2007).

Page 10: Murray-Darling Basin

Data Challenges• Disaggregate national and state economic data to

better understand community and regional contributions.

• Aggregate local social data to State, Basin and National impacts.

• Effort to re-aggregate existing data for a ‘non-standard geography’ (to ABS) that was still under development (by MDBA).

• Evolution of boundaries impeding time-series analysis.

• Increasing number of boundaries – CSIRO, Natural Resource Management (CMA’s), water catchments, Basin Plan regions, ABS geography.

Page 11: Murray-Darling Basin

Data ChallengesABARE AusRegion MDB regions (comparison with WTM regions)

Page 12: Murray-Darling Basin

• ‘Best Available’ agricultural and population data relates to 2005-06.

• Much of the exiting analysis and underlying data for models relates to 2006 or 2001.

• Challenging to look forward to what might happen when data could already be considered old.

• For example, the drought has reportedly changed the face of much of rural Australia in the last 5 years but the data won’t reflect this, as yet.

The currency of data

Page 13: Murray-Darling Basin

• High expectations of social and economic data.

• Economic data and modelling is designed for national and State purposes but we need to understand the flow on to local and regional areas.

• As we extend the use of data at what point are we left with assumptions and no data.

• Yet it is increasingly important to more fully understand a local areas contribution to the national wealth.

• Concern that once local area data is aggregated the human dimension is lost.

Data issues

Page 14: Murray-Darling Basin

• Took advice early – ABS and ABARE were two of the first agencies contacted.

• Allowed the ABS to do what they do best – producing the Context statistical report for the Basin (with ABARE and BRS).

• Sought regular ongoing advice on developing the short and long term data needs for the Basin plan.

• An active dialogue with the ABS (and others) to progress the issues raised.

How did we progress?

Page 15: Murray-Darling Basin

The Future

• Strengthening strategic alliances to improve statistical data in the Basin.

• Defining data needs early to meet future requirements (Monitoring and Evaluation).

• Better using opportunities (Agricultural Census, Agricultural Survey).

• Identifying less obvious opportunities (cross agency agreed priorities, question design).

Page 16: Murray-Darling Basin

Phases and Timelines

Page 17: Murray-Darling Basin

Feedback

www.mdba.gov.au


Recommended