DEEPFISHMAN Data and data availability

1. DEEPFISHMANData and data availability Stakeholder’s meeting Bruxelles 29-30 June 2009 Institute of Economic Studies Gunnar Haraldsson

2. Socio-economic aspects - What are we looking at? • Sustainability (long-term) • Profitability/Social benefits • Employment • Markets • Cost of management

3. The data • Construct a general bio-economic model applicable to each case study for which there exist appropriate data. Data requirements • 1. Stocks • 2. Harvest • 3. Costs • 4. Revenue • 5. Various macroeconomic data • 6. Various microeconomic data

4. Basic characteristics • The model should be • 1. Dynamic • 2. Stochastic • 3. Capable of incorporating various management regimes (which?)

5. What data is ‘easily’ available • Macroeconomic data (economic and social data) • Unemployment rates • Wage developments • ...

6. What data is not so easily available? • Microeconomic data • Cost data (fuel, labor, gear, effort indices) • Prices • Soft data • Institutional setting • Fisheries management measures (official/unofficial)

7. Case studies • Case study 1 – Directed single species fisheries:- • Highly vulnerable - orange roughy in Namibian waters – NatMIRC • Highly vulnerable - orange roughy in ICES VI &VII – MI • Less vulnerable - blue ling (Molva dypterygia) in Vb,VI ,VII – Cefas  • Case study 2 – Mixed demersal fishery:- • French trawl fishery for roundnose grenadier (Coryphaenoides rupestris), black scabbardfish, deep-water sharks in Vb, VI and VII – IFREMER • Case study 3 – Artisanal fisheries : • Vulnerable : • -Fisheries for red (blackspot) seabream in the Gibraltar Strait and Bay of Biscay– IEO • -Fisheries for red (blackspot) seabream in the eastern Mediterranean– HCMR • Less vulnerable : • -Portuguese fishery for black scabbardfish in IX –IPIMAR • Case study 4 – Data rich stock – NE Atlantic redfish -IMR • Case study 5 – Data- rich stock - Greenland halibut stocks in the NAFO area – IEO

8. Case studies • We can do a socio-economic description of each case • Bioeconomic modeling for selected cases • We rely heavily on receiving data from case study leaders and on collaboration with our colleagues in the scientific community • Stakeholder’s participation is very important

9. An example: Comparison between actual and optimal harvest.