Abstract
—Fishers in the United States pelagic longline fishery are required to self-report all fishing interactions (captures) on a per-set basis to the National Oceanic and Atmospheric Administration (NOAA) to quantify catch, increase conservation efforts, and allow for an accounting of international quota-managed species. Additionally, trained fisheries observers are deployed on commercial vessels to produce a statistical subset of pelagic longline fisheries data. Generalized additive mixed models were used to compare vessel captain-reported versus observer-collected datasets for fishing occurring in the western North Atlantic Ocean. Results showed a general consistency in logbook reporting for most target species, but potential under-reporting from 1.4× to 5.4× for lesser-valued and bycatch species. These discrepancies among catch rates of targeted species, species of bycatch concern, and species of minimum economic value showed an under-reporting in the logbook versus observer data, indicating the level of accuracy for self-reported data is lower than data collected by pelagic fisheries observers for a number of species. Additional analyses are needed to examine how varying management measures through time may influence reporting accuracy at the species level.
| Original language | English |
|---|---|
| Pages (from-to) | 655-669 |
| Number of pages | 15 |
| Journal | Bulletin of Marine Science |
| Volume | 100 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2024 |
Bibliographical note
Publisher Copyright:© 2024 Rosenstiel School of Marine, Atmospheric & Earth Science of the University of Miami.
ASJC Scopus Subject Areas
- Oceanography
- Aquatic Science
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