Next Generation Systems

Transcription

1 Our Land and Water National Science Challenge Toitū te Whenua Toiora te Wai Next Generation Systems Robyn Dynes, Anita Wreford, Alan Renwick, Warren King, Paul Johnstone, Peter Clinton, Carolyn Hedley, Grant Edwards.

2 Beyond business as usual Exports: adding Value to Volume Environmental outcomes = Next Generation Systems +

3 Linking to other Challenge research & aligned research

4 Sources & Flows The Problem We know Water Quality needs to improve We know the contaminants are coming from the land Next Generation Systems: new systems New technologies Transformational change So what do we need to do on the land and where? Within a catchment Sources = what to target Flows = where to target

5 Feedback from receiving environments to land use decisions at source areas.? Receiving environment (values, objectives, resilience, etc.) Feedback

6 The value chain Next Generation Systems: Science supporting business innovation Selecting NGS in with complex drivers Multiple criteria decision making. Farmers Processors Wholesalers Retailers

7 Vision Mātauranga --- partners in transformation --- sharing collated data ---- case studies in value chain case studies in supply chain development?

8 Why science in NGS Development, redesign, New technologies Science supporting innovation Business decision Which solutions have comparative advantage??

9 Which system?

10 Financial Capital investment Return/ha (profitability of enterprise) Return on Investment Payback period Variability in profit Environment Domain N leaching, Erosion, P losses, E. coli GHG emissions Market factors Scale of market Ability to capture value added Supply variability Strength of supply chain, System choice Regulation Water, Animal welfare Food safety Building Social well-being Community acceptability Impact on communities Quality of life Knowledge base Current state of knowledge Similarity to existing systems State of Technology Level of Confidence

11 Case study-sheep milking

12 Weights at Domain Level Regulation Financial performance Market factors Equally Weighted Knowledge base Social well-being Environment

13 Weighting of each alternative under each criteria sheep dairy example Capital investment Greenhouse Gas 1.00 Profit/haReturn Building on Investment Water 0.90 Payback Period Animal Welfare Variability in Profit Food safety Income diversification 0.60 Health and Safety Confidence State of Technology Available Advisory support Scale of market Ability to capture value added Variability of supply Supply chain strength chain strength Extent system is proven Availability of Labour State of my knowledge Local Employment Similarity to current system Env Stewardship Disease (Ecoli etc) P Losses GHG Emissions Conditions of Employment Noise/Visual Impact Cultural Values Value Distribution (multiplier effect) Quality of Life

14 Selection of Preferred Options Milking Sheep (Actual) Dairy Goats Blueberries Specialty seeds Int Int Score

15 What are the benefits from partnering with NGS? Business Certainty of investment Less risk Challenge science Science Investment priorities Impact per $ spent Mitigation Farm optimisation Aligned science Time System reset Industry Consistency of desired product Valued NZ brand Shifting culture and performance

16 Next Generation Systems: partnerships with innovators Corporate farming : redesigning systems within nutrient limits Corporate farming:- diversifying portfolio Maori: iwi and collectives exploring alternatives

17 Next Generation Systems: case studies of optimised systems Value chain Taupo beef Precision Agriculture - Greenvale pastures Continuous-harvest forestry Iwi supply chain development????

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