Fisheries Needs For Ocean Currents And Temperatures: Linking Pink Shrimp Fishery To Oceanographic Mo

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Fisheries Needs For Ocean Currents And
Temperatures Linking Pink Shrimp Fishery To
Oceanographic Modeling
On The West Florida Shelf
Peter J. Rubec1, Sal Versaggi2, Charles
Ashbaugh3, Jesse Lewis1, Curt Lashley3, Robert
Weisberg4, Chris Jenkins5, David Reed1, and
Lianyuan Zheng4

• Florida Fish Wildlife Research Institute
• Versaggi Shrimp Corporation
• Sasco Inc.
• University of South Florida
• University of Colorado at Boulder

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Tortugas Pink Shrimp Farfantepenaeus duorarum
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Electronic Logbook (ELB)
Software and hardware were developed and tested
in conjunction with Sasco Inc. and Versaggi
Shrimp Corporation to facilitate recording catch
and effort data on three shrimp vessels on the
West Florida Shelf Pull-down menus allowed the
captain to record the weights of shrimp caught
per tow by species and size grades. Positions
were recorded by GPS on each boat. A data logger
(CTD) attached to the door of the trynet recorded
bottom temperatures, depth, and conductivity .
The date were wirelessly transmitted to a
computer in the wheelhouse when the trynet was
retrieved
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COMPS Observing Stations West Florida Shelf
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Habitat Suitability Modeling
Habitat Suitability Index (HSI) models were
developed by the U.S. Fish and Wildlife Service
in the early 1980s as part of the Habitat
Evaluation Program.

Scientists at the Florida Fish Wildlife
Research Institute have developed spatial habitat
suitability models (HSM) using geographic
information systems (GIS).

HSM allows scientists to predict spatial
distributions and relative abundance of species
at various life stages using abundance indices
associated with mapped habitat layers.


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Suitability Functions and Habitat Mapping
Mean catch rates (CPUEs) in pounds per hour
(lbs/h) were computed from the ELB data as
histograms or splines across environmental
gradients representing various habitat types. The
habitat types mapped included -Depth -Aspect -Bot
tom Type -Bottom Temperature -Bottom Current
Speed -Bottom Current Direction -Vessel
Monitoring System (VMS) Zones
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83.0
57.3
29.8
12.9
7.9
8.4
Total Area 19,251 Square Nautical Miles
31,185 trawl locations by 6 vessels
over 9 years
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Verification Test
The HSM models were verified by overlaying raw
CPUE data obtained using the ELB system onto
predicted HSM zones (Low to Optimum).
Increasing mean CPUEs across the HSM zones
indicated that the models correctly predicted the
spatial distributions and relative abundances of
pink shrimp on the West Florida Shelf.
Increasing CPUE relationships were found for
16 months from March 2004 to June 2005.
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Verification of Observed Mean CPUEs From HSM
Analysis September 2004
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• SUMMARY
• An electronic logbook (ELB) was used to gather
  catch and effort data on shrimp-fishing vessels
  on the West Florida Shelf (WFS).
• 2 Wireless data loggers (CTDs) were used to
  gather environmental data.
• 3. Oceanographic modeling predicted bottom
  patterns for temperature, salinity, and water
  current directions and speeds for 16 months.
• Data mining was used to aggregate, analyze, and
  map bottom types.
• GIS was used to analyze fishing patterns, map
  habitats, and conduct
• habitat suitability modeling (HSM) to predict
  spatial distributions and relative abundance of
  pink shrimp on the WFS.
• The predicted habitat and HSM maps can be used to
  support fisheries, fisheries management, and the
  management of Essential Fish Habitat

The study was sponsored by the Gulf and
South Atlantic Fisheries Foundation