Gippsland Lakes INFFER Assessment Results Presentation
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Presentation of INFFER assessment results for Gippsland Lakes project, highlighting key findings, scenarios analyzed, and reflections on environmental resource management. Includes recommendations for achieving nutrient reduction goals.
Gippsland Lakes INFFER Assessment Results Presentation
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Presentation Transcript
INFFER (Investment Framework For Environmental Resources) Gippsland Lakes INFFER assessment results presentation
Gippsland Lakes • Important national asset with agreed goal • Gippsland Lakes Taskforce • Agreed goal: 40% nutrient reduction • Test INFFER on large, complex asset • Mutual benefit: • Underpin business case for Taskforce • Additional credibility for INFFER
What we have done • Developed agreement with GLTF • Appointed Peter Cottingham to work with us • Collated previous information • Inception meeting (14 people) • Technical workshop (16 people) • Adoption workshop (12 people) • Workshop with Chris Barry and Barry Hart • Review assumptions • Provide guidance • Additional specialist input • External review (Tony Ladson, Dan Rattray, Darron Cook)
Outputs • Updated land use layer • Better basis for future work • Gippsland P load tool • Integrates previous load modelling, effectiveness, adoption and cost assumptions • Underpins scenario analysis • Benefit:Cost Ratio Calculator • Uses costs from P tool as input • Considers all the other important factors • Report to GLTF • 18 scenarios • Economic optimisation analysis • Highlights knowledge gaps • Detailed assessment for 20 and 40% P options
Scenarios analysed • 40, 30, 20 and 10% P least cost • $2, 5 and 10 million/year/5 years + on-going maintenance costs • As above but no on-going costs • Current incentives – 3 scenarios • Effluent enforcement • Streambanks only – 50% and 20% effective • Higher lakes value
Land use Forest - production, plantation Horticulture/cropping High rainfall mixed dairy-beef Dryland dairy Dryland beef-sheep Irrigated dairy
40% 30% P 20% 10% 789 mil PV 20yrs 0.04 BCR Dryland dairy/high rainfall mixed dairy-beef – Full cost all BMP’s; Full enforcement of effluent management Stream bank– Full cost bank stabilisation over 99% or priority waterways Irrigated dairy – Full cost all BMP’s; full enforcement of effluent management Dryland beef-sheep – Full cost all BMP’s Forest production & plantation – Full cost road improvements Retirement of 2,415 ha of irrigated dairy land out of agriculture
40% 30% P 20% 10% 73 mil PV 20yrs 1.1 BCR Stream bank – Full cost, streambank protection on 90% of priority waterways Irrigated dairy – Current incentives for tailwater re-use (30%) & pressurised irrigation(40%); Full enforcement effluent management, (80%); Current incentives irrigated farm plans(98%)
40% 30% P 20% 10% 16 mil PV 20yrs 3.2 BCR Stream bank – Current incentives for streambank stabilisation bank stabilisation offered on 73% of priority waterways Irrigated dairy – Current inventives, presurised irrigation conversion on 40% of relevant land
Some scenarios 584 38 0.04 117 0.32 10 54 2.5 1.1 10 0.6 3.2 25 8 0.8 25 0 2.0 1 14 1.6 5 1 2. 0
Time taken to complete • 100 person days • 40+ was for workshop engagement • Medium/large scale assets 10-15 days • Small assets 2-5 days • Learning costs for 1st assessments • Should be viewed as due diligence for large public investments
Several reflections • Knowledge gaps • Link between P and algal blooms • N • Connectivity issues • Lack of integration of available info • Large costs, low BCR for 40% no surprise • Plenty of opportunity for high BCR projects on components of Lakes catchment (if staff trained) • Need for long term incentives tied to performance and enforced regulation • Voluntary BMPs wont get far enough • The bigger the target the more impact on agriculture • Pressures on lakes will increase (dairying) • Reconsider P and N targets
How does INFFER add value? • Strong basis for business case • More effective use of public $ • Budget certainty and longevity is crucial • Internal consistency • Basis for strategic direction and debate • What % P target should be aimed for? • More realism about agricultural and environmental trade-offs required • Challenges some existing approaches • Reduces bias in decision making • Review current emphasis • Assumptions are transparent