The time series of striped bass removals and indices from the 2022 assessment update were extended to include data from 2022-2023. Total removals from 2022-2023 averaged 6.18 million fish, a 20% increase from 2021, the terminal year of the last assessment.
Fisheries Science
Sustainable fisheries management depends on sound, timely scientific advice. The Fisheries Science Program delivers this through a rigorous, peer-reviewed stock assessment process, utilizing a mix of fishery-independent surveys and fishery-dependent monitoring, complemented by research from coastal state, federal, and academic institutions. The program also focuses on developing innovative scientific methods and enhancing state stock assessment capabilities, while coordinating and expanding collaborative research and data collection efforts.
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The River Herring Benchmark Stock Assessment and Peer Review Report is divided into three sections: River Herring Benchmark Stock Assessment Peer Review; River Herring Benchmark Stock Assessment; and Appendices
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This document presents a summary of the 2024 benchmark stock assessment for alewife and blueback herring, collectively referred to as river herring. The assessment was peer-reviewed by an independent panel of scientific experts through the Atlantic States Marine Fisheries Commission’s (ASMFC) external peer review process. This assessment is the latest and best information available on the status of the US river herring for fisheries management.
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The 2024 Atlantic Sturgeon Stock Assessment Update is an update to the 2017 Atlantic Sturgeon Benchmark Stock Assessment that was peer-reviewed by an independent panel of scientific experts through the Commission’s Peer Review process.
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The purpose of this assessment was to update the 2017 Atlantic Sturgeon Benchmark Stock Assessment and Peer Review Report (ASMFC 2017) with recent data from 2016-2022.
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This assessment of the Black Sea Bass (Centropristis striata) stock is a Level-2 2024 management track assessment which updates the 2023 research track assessment model using the WHAM framework to fit a spatially explicit model specified for two regions, North or South of Hudson Canyon.
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