1. Laura Palamara, John Manderson, Josh Kohut, Matthew Oliver, John Goff, Steven Gray Developing Ecological Indicators for Fisheries Management using IOOS Defined Habitat Characteristics in the Mid-Atlantic Bight

2. Objectives  Model fish distributions (multi- and single- species) using environmental data: benthic AND pelagic  See if we can use remotely sensed data as a surrogate for going out to sea  Apply model results to fisheries management  Important environmental indices  EFH, MPA  Curb by-catch

3. Statistical models of fish-habitat associations NEFSC bottom trawls Spring 2003 - Fall 2007 65 Species

4. Bathymetry Sediment Grain Size Ship Surveys: Bottom Habitat Data depth median standard deviation slope median standard deviation aspect median standard deviation profile curvature median standard deviation tangential curvature median standard deviation sediment grain size

5. Ship Surveys: CTD temperature surface bottom salinity surface bottom stratification mixed-layer depth Simpson’s potential energy entire water column top 30 meters

6. Sea Surface Temperature Ocean Color Integrated Ocean Observation Systems: Satellite Data sea surface temperature mean standard deviation water-leaving radiance (ocean color) 412 nm (M & SD) 443 nm (M & SD) 488 nm (M & SD) 531 nm (M & SD) 551 nm (M & SD) 667 nm (M & SD) Chlorophyll a mean standard deviation water mass data

7. Integrated Ocean Observation Systems: HF radar - ocean currents Current Velocity Divergence Trend detided & filtered along-shore velocity detided & filtered cross-shore velocity variance in raw along-shore velocity variance in raw cross-shore velocity divergence average trend vorticity average trend

8. Current Velocity

12. Divergence & Vorticity

13. Seasonal Divergence Trends

14. Multivariate Analysis (CCA) Final Environmental Variables Used Benthic Depth (log-transformed) Profile curvature Slope (residuals vs. depth) Sediment grain size IOOS SST 488 nm reflectance 551 nm reflectance (residuals vs. 488 nm) Cross-shore velocity Variance in cross-shore velocity Divergence trend CTD Mixed-layer depth Simpson’s PE (limited to top 30 m) Bottom temp Bottom salinity (residuals vs. depth)

15. Community Axis 1 Temp Depth 551 nm resids

16. Benthic IOOS CTD 21.4% 16.8% 24.8% 5.2% 6.1% 16.7% 8.9% 41.6% 47.6% 56.5% 27.5% 33.5% 14.1% 30.9% 22.0% 25.6% Percent of Explained Community Variation Partial CCA divergence trend 488 nm reflectance Simpson’s potential energy bottom T  SST bottom salinity residuals  SST mixed-layer depth  current velocity

17. Squid GAM Used multivariate results as a guide Explained approximately 85% of the variation in squid abundance Variables included: – bottom temperature – SST x depth interaction – sediment grain size – current velocity – divergence trend – water-leaving radiance: 488 nm

18. Conclusions Pelagic habitat is important IOOS provides useful measures of the pelagic habitat IOOS increases explanatory power of statistical habitat models