4.7 Article

Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine

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FRONTIERS IN MARINE SCIENCE
卷 9, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2022.923738

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forecast; harmful algal bloom; Maine; neural network; paralytic shellfish toxin; stakeholder

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  1. NOAA MERHAB [NA19NOS4780187]

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This paper discusses the operation of a stakeholder-based PSP forecasting program in the 2021 season and emphasizes the importance of stakeholder input. The forecasts were accurate and well-received by stakeholders, but there are challenges in the system design.
Paralytic shellfish poison (PSP) is a human health concern for shellfish aquaculture and wild harvest. This paper discusses lessons learned from a forecasting program for PSP in coastal Maine, USA, designed based on stakeholder input, and run in an operational mode for the 2021 season. The forecast uses a deep learning algorithm to make site-specific, probabilistic forecasts at a weekly forecast range for toxin levels measured in shellfish tissue. Forecasts had high accuracy in the 2021 season, correctly predicting closure events and locations despite a highly unusual season. Stakeholders reported a positive view of the forecast system, and stakeholder input continues to be of key importance as further modifications are made to the system. There are benefits and challenges to the stakeholder-based design of the system.

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