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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:
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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