PHAM is to develop a decision support system that merges NASA imagery and models with fishery data in order define the habitat of commercial and threatened pelagic species. The PHAM-EPO Tuna will improve stock assessment of tropical tuna of the eastern

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The Pelagic Habitat Analysis Module
(PHAM)System Science Applications (D. Kiefer),
Interamerican Tropical Tuna Commission (M.
Hinton), Southwest Fisheries Science Center (S.
Kohin), JPL (E. Armstrong)

• PHAM is to develop a decision support system that
  merges NASA imagery and models with fishery data
  in order define the habitat of commercial and
  threatened pelagic species. The PHAM-EPO Tuna
  will improve stock assessment of tropical tuna of
  the eastern Pacific, and the PHAM-Cal Pelagics
  will improve stock assessment of albacore and
  sharks of the California Current.
• PHAM is simply a geographic information system
  that offers custom integration and analytical
  tools for achieving the goal stated above.

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Flow of information through the Pelagics Habitat
Analysis Module (PHAM)

• The projects goal develop a decision support
  system that merges NASA imagery and models with
  fishery data in order define the habitat of
  commercial and threatened pelagic species.
• The EPO Tuna application will improve stock
  assessment of tropical tuna of the eastern
  Pacific, and the Cal Pelagics application will
  improve stock assessment of albacore and sharks
  of the California Current.
• PHAM is simply a geographic information system
  that offers custom integration and analytical
  tools for achieving the goal stated above.

Dynamic Maps of Essential Fish Habitat
Stock Assesssment Recruitment Models
Electronic Tags Satellite imagery Circulation
models Fisheries data
Quotas, Closures, Best Practices
PHAM
(recently mandated by National Marine Fisheries
Service)
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CATCH BY OCEAN
Recent Value of Pacific Tuna Fishery 6-8 B
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PHAM screen of distribution of big eye tuna catch
per set for IATTCs 34 year time series.
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PHAM screen of SeaWiFS image of surface
chlorophyll and IATTCs tuna fishery stations.
Note Overlap of chlorophyll and fishing grounds.
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PHAM screen of habitat analysis interface, map of
calculated spawning sites, and graphical results
of analysis
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Velocity Vector Image
PHAM screen of NASAs ECCO-2 global circulation
model and graphical results of analysis.
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Juvenile Drift 7/1/2003
PHAM map of skipjack spawning sites (7/21/03)
calculated from NASAs ECCO-2 global circulation
model and fisheries age structure analysis of
catch.
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The 2nd EOF mode (upper) and it temporal
expansion coefficient (lower) for the GHRSST time
series for eastern Pacific. The mode catches
temperature shifts caused by El NINO and La NINA
events.
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The temporal expansion coefficients for EOF modes
2 3 closely track the recruitment of skipjack
as well as the bigeye and yellowfin tuna. It
appears likely that such information will provide
new and improved estimates for the stock
assessment models.
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PHAM screen of critical habitat of skipjack tuna
as calculated from habitat analysis and current
satellite imagery.
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Invitation
If you are interested in seeing PHAM software,
please introduce yourself to me during a break,
and I will give you a short demonstration.