E Electronic Logbook (ELB) Project Goals Improve CFH data - - PowerPoint PPT Presentation

e electronic logbook elb project goals
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E Electronic Logbook (ELB) Project Goals Improve CFH data - - PowerPoint PPT Presentation

E Electronic Logbook (ELB) Project Goals Improve CFH data collection in GOM Paper to ELB Calibration of voluntary, validated data Trip level catch/effort database Structure Voluntary participation with VMS Validated,


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SLIDE 1

E Electronic Logbook (ELB) Project

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SLIDE 2

Goals

  • Improve CFH data collection in GOM
  • Paper to ELB
  • Calibration of voluntary, validated data
  • Trip level catch/effort database
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SLIDE 3

Structure

  • Voluntary participation with VMS
  • Validated, trip reporting via satellite
  • No hail in/hail out
  • Calibrated to MRIP/state data - Capture/recapture

approach

  • Participant equity/reward
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SLIDE 4
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SLIDE 5
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SLIDE 6

Installed Vessels

  • Florida -

120

  • Alabama -

94

  • Mississippi - 4
  • Texas -

16

  • TOTAL - 234
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Louisiana

  • Funded late 2016
  • 100 vessels max
  • Implementation underway
  • 2 year project
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Vessel Trip Distribution

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Vessel Trip Reports (thru 12/31/16)

Wave 3 Wave 4

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How many reports do captains file? (thru 12/31/16)

10 20 30 40 20 40 60 80 100 120 140 160 180 200

frequency

# of reports/boat

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SLIDE 11

Top 5 Species Caught

  • Number of Fish
  • Blue - kept
  • Green - Rlsd alive
  • Yellow - Rlsd dead

22500 45000 67500 90000 RS VS RP RG GT

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Red Grouper, 2016 Number of fish

  • Blue - Kept
  • Green - Discard alive
  • Yellow - Discard dead

1500 3000 4500 6000 March June September December

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Red Snapper, 2016 Number of fish

  • Blue - Kept
  • Green - Discard alive
  • Yellow - Discard dead

7500 15000 22500 March June September December

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Target Species

  • Primary - Blue
  • 2nd - Green

1500 3000 4500 6000 None RS VS KM RG GG GAJ

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What would result in data that provides estimates with variance equivalent to that of APAIS?

Variety of ways:

 Some examples…

 Current number of devices, Current level of reporting, we

improve our matching, ~ quadruple verification sample size

 Double number of devices, current level of reporting but

make it accurate, increase APAIS sample by about 75%

 Current number of devices, 100% reporting, reporting

accuracy at current level, increase verification sample by about 40%

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Challenges

  • Participation
  • Initial/Ongoing
  • Calibration - Coverage/Compliance/Variance
  • Feedback
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Lessons Learned

  • Trip definition essential - preferably automatic
  • KISS important - add wants incrementally
  • High level of proactive communications required
  • Expect the unexpected
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SLIDE 18

?

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SLIDE 19

Acknowledgements

  • CLS America
  • Gulf Seafood Institute (GSI)
  • Alabama, Florida, Mississippi, Texas
  • SERO
  • SEFSC
  • MRIP
  • GSMFC
  • Charterboat Associations
  • CFH Owners/Captains
  • GMFMC