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Fisherman Behavior and Fishery Management: A Cooperative Study

Explore original mapping projects, socio-economic interviews, and fishermen's ecological knowledge to understand fishing effort, regulatory issues, and fishermen travel behavior. Learn about the 14 fisheries studied and how data collection efforts impact management practices. Uncover the misalignment of economic data, regulatory overlap, and how modeling fisherman travel behavior can enhance decision-making. Discover the implications of scale in extraction compared to regulation and the need for more detailed modeling for better understanding and management. Join in improving communication among fishermen, regulators, and scientists for efficient and realistic management practices.

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Fisherman Behavior and Fishery Management: A Cooperative Study

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  1. Fisherman Behavior and Fishery Management: A Cooperative Investigation Michael Robinson Geography Department UC Santa Barbara image: www.montecitofire.com

  2. Overview • Original mapping projects • Socio-economic interviews • Fishermen mapping • “Fishermen’s Ecological Knowledge” • Scale issues • Fishing effort • Regulatory effort • Fishermen travel behavior

  3. Original mapping efforts Socioeconomic Profile information

  4. Original mapping efforts • Where did data come from? • CINMS socioeconomic monitoring • MRWG process • Fishermen interviews  Barilotti & Pomeroy samples • What types of data? • Economic • Ethnographic

  5. 14 fisheries: Market squid Kelp Urchins Spiny lobster Prawn Rockfishes Flatfishes Sea cucumbers Wetfish Crabs California sheephead Sculpin & Bass Tuna Shark Original mapping efforts The 13 fish species accounted for over 99% of ex-vessel value of the 1999 CINMS commercial catch. 19% of the fishermen in the CINMS accounted for 82% of the value of catch.

  6. Data: CA DFG, NOAA Bathymetry in fathoms

  7. Data: CA DFG, NOAA Bathymetry in fathoms

  8. Data: CA DFG, NOAA Bathymetry in fathoms

  9. Data: CA DFG, NOAA Bathymetry in fathoms

  10. Fishermen mapping efforts Fishermen’s ecological knowledge & effect of scale

  11. Effect of scale • Small scale map • covers large area • view relationships within entire region • scale of analysis & regulation • Large scale map • covers small area • see detail & differences • identify “hot spots” • scale of fishing effort & extraction

  12. Data: CA DFG, NOAA Bathymetry in fathoms

  13. Data: CA DFG, NOAA Bathymetry in fathoms

  14. Data: CA DFG, NOAA Bathymetry in fathoms

  15. Misalignment of data • A noticeable portion of the economic data isn’t in the correct place. Why? • Difficulty identifying exact locations • Intentional misrepresentation • Improved economic data will improve the accuracy of biocomplexity models and reserve analysis

  16. Data: CA DFG, NOAA, C.Miller Bathymetry in fathoms

  17. Data: CA DFG, NOAA, C.Miller Bathymetry in fathoms

  18. Data: CA DFG, NOAA, C.Miller Bathymetry in fathoms

  19. Regulatory Overlap • Existing fishery management & “regulatory redundancy” • Concentrated fishing efforts outside reserves

  20. Data: CA DFG, NOAA Bathymetry in fathoms

  21. Data: CA DFG, NOAA Bathymetry in fathoms

  22. Regulatory Overlap • Existing fishery management & “regulatory redundancy” • Concentrated fishing efforts outside reserves

  23. Data: CA DFG, NOAA Bathymetry in fathoms

  24. Fishermen travel behavior

  25. Modeling fisherman travel behavior • What factors determine when and where a fisherman goes to work? • Smith & Wilen, 2003 • How do these factors vary across: • Fleets • Ports • Fisheries • How does this affect the spatial distribution of fish stocks?

  26. Will I fish today? If so, where? Realistic range? Optimizer or satisficer? W hat factors determine when and where a fisher- man goes to work? WHEN WHERE Physical Variables Mechanical Variables Physical Variables Mechanical Variables Water temperature Market value vs. cost to fish Bathymetry Gear restrictions Wind conditions Season closures Substrate Size restrictions Equipment “restrictions” (boat/ Kelp presence Marine reserves Wave height trap maintenance, etc) Fish presence Other closures Other “NOAA parameters” Time & Distance Decision “paradigm” Fishing location

  27. Modeling fisherman travel behavior • Determining behavior variables: • Location • Duration • Range • Quantity & value • Levels of interest: • Boat (individuals interacting on a particular boat) • Port (boats interacting at a certain port) • Fishery (ports interacting/impacting a certain fishery)

  28. Conclusions…so far

  29. Conclusions • Everything is preliminary • Scale of extraction seems small • Scale of regulation is comparatively large • This disparity has significant implications for fish stock, economic, and reserve models • Need more detailed and realistic modeling of fishermen: • Decision-making • Travel behavior

  30. Prospects • Improved communication • Among fishermen • Between fishermen, regulators, and scientists • Fishermen involvement in mapping and reserve process • Fox guarding the henhouse vs. farmer in charge of the farm (Hilborn et al, 2005) • Expanded data collection efforts • More efficient and realistic management practices

  31. image: Wm. B. Dewey, www.islandpackers.com

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