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D A Kiefer, D P Harrison, M G Hinton, S Kohin, E M Armstrong, F J O’Brien “NASA Biodiversity & Ecological Forecastin Team Meeting ” 25-27 April 2012 in.

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Presentation on theme: "D A Kiefer, D P Harrison, M G Hinton, S Kohin, E M Armstrong, F J O’Brien “NASA Biodiversity & Ecological Forecastin Team Meeting ” 25-27 April 2012 in."— Presentation transcript:

1 D A Kiefer, D P Harrison, M G Hinton, S Kohin, E M Armstrong, F J O’Brien “NASA Biodiversity & Ecological Forecastin Team Meeting ” 25-27 April 2012 in Seattle. Pelagic Habitat Analysis Module (PHAM) for GIS Based Fisheries Decision Support

2 Pelagic Habitat Analysis Module (PHAM) Fisheries Catch/Survey Data: IATTC, SWFSC Fisheries Catch/Survey Data: IATTC, SWFSC Tagging Data: FishTracker, Tagbase Satellite Imagery: SSH,SSChl, SST Satellite Imagery: SSH,SSChl, SST Circulation Model: ECCO-2 Circulation Model: ECCO-2 EASy GIS PHAM Tools & Statistics EASy GIS PHAM Tools & Statistics Dynamic Maps of Habitat Data & Results of Statistical Analysis visit runeasy.com

3 EASy Spatial Analysis Architecture EASy DatabaseImageryGE/GM Desktop NetViewer GoogleEarth Spatial Analysis Service Custom Data EASy Infrastructure Reg. DataEOF XLS Batch File ‘R’ Data File PNG File Script File ‘R’ Interface GE/GM Files GoogleMaps Google PHAMLite

4 PHAM blob plot of skipjack catch per set during 1997 El Nino superimposed upon SEAWiFS imagery of sea surface chlorophyll. Note movement of catch to the north of northern fish, general decrease in concentration of chlorophyll, and extremely clear and unproductive water at convergence zone at 5 N.

5 PHAM blob plot of skipjack catch per set during 1999 La Nina superimposed upon SEAWiFS imagery of sea surface chlorophyll. Note movement of catch towards equator, general increase in concentration of chlorophyll, and disappearance of clear and unproductive water at 5 N.

6 Time Series Runs: Yellowfin Catch along Color Front

7 Time Series Runs: Yellowfin Catch along Eddy Front ?

8 Using electronic tagging data to estimate movement, identify habitat, and characterize behavior of marine pelagic predators Goals of thesis 1.Develop visualization tools & analytical methods for electronical tag data 2.Apply to two species (striped marlin, great white shark) to investigate three- dimensional movements in relation to their short-and long-term life history strategies in the environment Michael Domeier Marine Conservation Science Institute

9 Day Night Day sunset sunrise Eastern Pacific Cri-16 Light level

10 MODIS. Chlorophyll. February 2007

11 Annual Average O2 at 150 m

12 Vertical structure in the daily search for prey

13 Cube 92 Aviso SSH

14 Cube92PC 1: 16.54% AvisoPC1: 14.31% Cube92PC 1: 6.16% AvisoPC1: 6.81% Cube92PC3: 5.08% AvisoPC3: 4.43% EOF and Linkage to Global Circulation Models

15 The temporal expansion coefficients for mode 2 and 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.

16 Conclusions Software Development PHAM-R interface expanded EOF analysis of satellite imagery GAM Habitat Modeling Launching JPL Netviewer, Stock Assessment Models a challenge but … PHAM international workshops Dynamics of Coupled Natural and Human System: Individual based modeling from tuna distribution to fleet operations to fishery management- driven by satellite SST, SSChl, and SSH Scientific Insights Established influence of ENSO perturbations on tuna recruitment & stock assessment Tracking of fleet movements with fronts and eddies Linkage between depth of hypoxic waters and tuna fishing grounds- predictions of industrial response to climate change. Climate change and EOF series. Validation of ECCO-2 (currents & phytoplankton)/SSH Imagery

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