期刊
ICES JOURNAL OF MARINE SCIENCE
卷 79, 期 6, 页码 1801-1814出版社
OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsac109
关键词
agent-based model; Atlantic surfclam; fishing effort displacement; ocean multi-use; offshore wind energy
资金
- U.S. Department of the Interior, Bureau of Ocean Energy Management, Environmental Studies Program, Washington DC [M19AC00016]
This study applied an existing integrated bioeconomic model to evaluate the potential economic effects of offshore wind development on the Atlantic surfclam fishery. By simulating fishing activity and economic outcomes under different offshore wind energy development scenarios, the study found that spatial restrictions and changes in fishing effort distribution would decrease revenues for fishing vessels and processors and increase fishing costs.
The Atlantic surfclam (Spisula solidissima) fishery generates approximately USD 30 million in landings revenues annually, distributed across ports throughout the US Mid-Atlantic and Northeast. Overlap between areas of Atlantic surfclam harvests and offshore wind energy leasing make the fishery vulnerable to exclusion and effort displacement as development expands in the region. An existing integrated bioeconomic agent-based model, including spatial dynamics in Atlantic surfclam stock biology, heterogeneous captain behaviour, and federal management processes, was extended to incorporate costs and revenues for fishing vessels and processors and used to evaluate the potential economic effects of offshore wind development on the Atlantic surfclam fishery. Fishing activity and economic outcomes were simulated under different offshore wind energy development scenarios that impose spatial restrictions on Atlantic surfclam vessel fishing and transiting behaviour. Decreases in the number of trips and shifts in the spatial distribution of fishing effort reduced revenues for Atlantic surfclam fishing vessels and processors by similar to 3-15% and increased average fishing costs by < 1-5%, with impacts varying across development scenarios and fishing ports. The modelling approach used in this analysis has potential for addressing additional questions surrounding sustainable ocean multi-use and further quantifying interactions between offshore wind energy development and commercial fisheries.
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