1. Salmonid angling – application to Tasman District Council Neil Deans, Fish and Game Nelson-Marlborough, 2009

2. Salmonid Fisheries Provided guidance for developing methodology Includes fisheries derived from –trout (brown, rainbow, lake and brook char) –salmon (chinook, sockeye) No salmon in Tasman DC but criteria applicable

3. Personnel Mary-Anne Baker, Trevor James, TDC Neil Deans, FGNZ Martin Unwin, NIWA Kay Booth, Lindis Consulting Peer Review Chris Arbuckle, MAF John Hayes, Cawthron

4. Method 1.Define River Value Categories and River Segments 2.Identify potential attributes 3.Select primary attributes 4.Choose indicators of primary attributes 5.Determine Indicator Thresholds 6.Apply indicators and thresholds

5. Method contd 7. Weight primary attributes (if appropriate) 8. Determine River Significance 9. Outline other relevant factors 10. Review and assess future requirements

6. Applying the Method Attributes to reflect social, economic, environmental, cultural wellbeing easier said than done A key concept was the Recreational Opportunity Spectrum. –Provided rationale and context for this activity Need for discipline in language and terminology Wilderness/scenic attractiveness

7. Lucky to have good national data (NAS) –For 1150 angling waters, c. 800 rivers –Angling use data, angler perceptions Water quality thresholds already determined –salmonids well studied –Cawthron Report 1205 for Horizons

8. Primary Attributes Level of use Origin of NZ users Proportion of overseas use Mean Free Distance (Angler Density)* Anticipated catch rate Anticipated chance of catching large fish Water Quality Scenic Attractiveness Wilderness Character Angler perceptions of River’s Importance

11. Data Gaps Recent user perceptions about –the importance of the river, –scenic value –wilderness value –Overall evaluation of the fishery Fish & Game pilot survey available River labelling

12. Analysis More robust analysis than already in Plan –Consistency with WCO and WONI outputs –Intuitively accurate Comprehensive Implications for management –Better understanding of where issues may arise

13. Gaps Attributes not included; –Contribution to a collective value –Scarcity –Access –Future/potential value –Past value –Existence value Relevance for management decisions

14. Issues Importance of trialling in more than one region Question of how many regions before method is ‘standardised’ for national application Original regional analysis may need review before ‘final’ acceptance What to do about data gaps?