Date of Award

8-2024

Degree Type

Masters Thesis

Degree Name

Master of Science (MS)

School

Ocean Science and Engineering

Committee Chair

Dr. Eric N Powell

Committee Chair School

Ocean Science and Engineering

Committee Member 2

Dr. Chet F Rakocinski

Committee Member 2 School

Ocean Science and Engineering

Committee Member 3

Dr. John M Klinck

Committee Member 4

None

Abstract

The Atlantic surfclam, Spisula solidissima, and ocean quahog, Arctica islandica, are biomass dominant bivalve species on the eastern North American continental shelf, both supporting lucrative commercial fisheries in the Mid-Atlantic with a combined value of $53.6 million in ex-vessel revenue per year. Rapid climate change is expected to modify the geographic range of these bivalve populations across the Mid-Atlantic Bight (MAB), suggesting transformative consequences for the surfclam fishery. This study forecasted future distributions of the two species from years 2016 – 2095, based on projected bottom water temperatures and a temperature-dependent population dynamics model, to project subsequent fishery-based indicators using a Spatially Explicit, agent-based Fisheries and Economics Simulator (SEFES). Simulations showed a positive trend in Atlantic surfclam biomass throughout the next three-quarters of the century as the clam’s range continues to shift offshore and northward into habitat previously occupied by the ocean quahog, restricting ocean quahog habitat to offshore Long Island by 2095. Regional surfclam populations expand into deeper waters off New Jersey, Long Island, and southern New England starting in the early 2050s, whereas Georges Bank and Delmarva populations begin to gradually decline. A general decrease in fishing mortality is projected, with a simultaneous increase in catch and LPUE (landings per unit effort), signaling future potential growth in the surfclam fishery. These results can inform industries dependent on this resource, and other competing coastal users, by providing a basis for the development of anticipatory management for the socio-ecological and economic impacts that may result from future changes in range distribution.

ORCID ID

0009-0008-9433-826X

Available for download on Tuesday, November 11, 2025

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