Evaluation of Broad and Fine Scale Models of Butterfish Biomass Applied to Bycatch Reduction in the Longfin Inshore Squid Fishery in the Mid-Atlantic Bight

Josh Kohut, Rutgers University

Through coordination between government and academic research institutions, fisheries
management institutions, and commercial squid fishermen and we intend to: (1) evaluate existing
auto-correlative and environmentally based models of butterfish biomass with a single 8-day at
sea trial, (2) demonstrate the feasibility of employing real-time temperature data delivered
automatically from industry boats, and (3) evaluate the applicability of acoustic information in
identifying fine scale structure in butterfish biomass relevant to the Loligo industry. All
proposed work will follow best practices for cooperative research, and include industry input in
various capacities, as outlined by Johnson and van Denson.

1) Evaluate larger scale dynamic habitat and finer scale auto-correlative models of butterfish
for by-catch reduction with at sea test.
2) Deploy initial strategy for real-time/near real time reporting of bottom temperatures.
3) Test feasibility of incorporating industry Simrad ES-60 acoustic data to expand dynamic
habitat and auto-correlative models for butterfish to finer scales, including the vertical
dimension, than is currently possible with fishery independent or dependent trawl data.