Scallop fishing activity characterization in Southern New England: Offshore wind demands and fisheries-dependent methods.

ABSTRACT: Managers attempt to minimize spatial use conflicts in siting of offshore wind developments, but they must rely on available data to balance biological, commercial, and recreational needs. Marine spatial planning products are only as good as the data they are built upon and fishing data present major challenges due to their confidentiality and the difficulty in isolating true fishing activity. We present a methodology to increase the spatiotemporal resolution of fishing effort and exposure estimates for Southern New England scallop fishing activity using random decision forests to perform supervised classification on AIS data, with fallback to lower resolution datasets for vessels without AIS coverage. Final predictive accuracy of the tuned random forest AIS model was 97.9%, offering improv

SUBMITTER: Livermore J 

PROVIDER: S-EPMC11554225 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature