developing metric assessments for biodiversity tenders
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Developing Metric Assessments for Biodiversity Tenders. John Rolfe. Participants. Project run by Central Queensland University John Rolfe and Jill Windle Collaboration with Kathleen Broderick & Ingrid van Puten (GBRMPA) Romy Griener & Daniel Gregg (River Cons.)

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Presentation Transcript
participants
Participants
  • Project run by Central Queensland University
    • John Rolfe and Jill Windle
  • Collaboration with
    • Kathleen Broderick & Ingrid van Puten (GBRMPA)
    • Romy Griener & Daniel Gregg (River Cons.)
    • Roy Brouwer (Vrije Universiteit Amsterdam)
    • Jeff Bennett (ANU)
    • Geoff Kerr (Lincoln NZ)
tender mechanisms
Tender mechanisms
  • Tenders are a form of market based instrument (MBI)
    • Process for auctioning public funding for biodiversity protection
  • Two major types
    • Purchasing environmental protection
      • BushTender
    • Addressing pollution issues
      • Water quality tender
setting metrics
Setting metrics
  • Allocations of public funding need to distinguish between different priorities
  • Need to assess the level of environmental improvement and compare to the bid price
  • Metric provides the mechanism to generate an Environmental Benefits Index
    • Used to rank and select bids
missing information
Missing Information
  • Most environmental auctions are cost-efficiency exercises
    • Identifying better ways to allocate public funding and gain biodiversity protection
  • Better to assess the economic benefits that are being generated by public funds
    • Need to evaluate the metric against some valuation of the environmental benefits
an example
An example
  • Large water quality tender run in Burdekin catchment in north Queesland
    • $600K in on-ground incentives
    • Lower Burdekin and Haughton River catchments
    • Cane and grazing industries
  • Tender run from Sept 07 – Jan 08
  • Nearly 90 bids submitted (for $2.1M)
  • Bids assessed using a metric
key outputs assessed in the metric
Key outputs assessed in the metric
  • Nutrient management
    • such as better nutrient budgeting and lower fertiliser application rates
  • Waste water management
    • such as recycle pits, sediment traps, drain design
  • Pesticide management
    • reductions in the application of key herbicides and pesticides
  • Sediment management
    • improved ground cover, minimum tillage, reduced stocking rates.
the metric selected
The metric selected:
  • 33 successful bids for $600,000
    • 491.8 tons of sediment reduction for $89.22 per ton,
    • 96,207 kg nitrogen reduction for $4.55 per kg, and
    • 55.6 kg Pesticide reduction for $2,221 per kg.
  • Was the $600K of investment appropriate?
proportion of movement
Proportion of movement
  • 0.04% of annual sediment load in river
  • 1.7% of annual Nitrogen load in river
  • 0.04% of annual Pesticide application in region
the project aim
The project aim
  • Identify values from NMV experiments that can be used in tenders to evaluate bids
  • Estimate values for agricultural water quality improvements in GBR
  • Repeat the Water Quality metric with those values and compare the resulting allocations
complications
Complications
  • Difficult to translate pollutants into impacts on GBR
    • Sediments, nutrients, pesticides
  • Footprint of impacts often localised
    • Flood plume of Burdekin River
  • Different pathways involved
    • Surface runoff versus groundwater movement
  • Events often episodic – major flood events
the key task
The key task
  • Design CM experiments relating to water quality in relevant area of GBR catchment
  • Translate SS, N and Pesticides into environmental outcomes
    • + certainty levels for the outcomes to occur
  • Assess WTP for the benefits of improved water quality
  • Have this in a form suitable for inclusion in a metric
    • Test against the Burdekin WQ data
other parts to the study
Other parts to the Study
  • Reviewing scope for CM and benefit transfer to be used in metrics
    • Reviewing vegetation metrics & benefit transfer (Windle)
    • Reviewing existing case studies for BT in other areas
      • Meta analysis of values for rivers and wetlands (with Roy Brouwer)
      • Meta analysis of values for recreational fishing (with Geoff Kerr)
    • Testing in CM how benefit values are influenced by the type of input actions
      • E.g. shipping, green zones, Ag. Water quality
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