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

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...

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Main Authors: Nicholas R. Record, Johnathan Evanilla, Kohl Kanwit, Craig Burnell, Carmen Cartisano, Bryant J. Lewis, Jill MacLeod, Benjamin Tupper, David W. Miller, Adrienne T. Tracy, Carol White, Matt Moretti, Ben Hamilton, Cameron Barner, Stephen D. Archer
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2022.923738/full
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author Nicholas R. Record
Johnathan Evanilla
Kohl Kanwit
Craig Burnell
Carmen Cartisano
Bryant J. Lewis
Jill MacLeod
Benjamin Tupper
David W. Miller
Adrienne T. Tracy
Carol White
Matt Moretti
Ben Hamilton
Cameron Barner
Stephen D. Archer
author_facet Nicholas R. Record
Johnathan Evanilla
Kohl Kanwit
Craig Burnell
Carmen Cartisano
Bryant J. Lewis
Jill MacLeod
Benjamin Tupper
David W. Miller
Adrienne T. Tracy
Carol White
Matt Moretti
Ben Hamilton
Cameron Barner
Stephen D. Archer
author_sort Nicholas R. Record
collection DOAJ
description 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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spelling doaj.art-e2fe1107e2eb41d6bb4a0ea0801b02a12022-12-22T01:41:04ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452022-07-01910.3389/fmars.2022.923738923738Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal MaineNicholas R. Record0Johnathan Evanilla1Kohl Kanwit2Craig Burnell3Carmen Cartisano4Bryant J. Lewis5Jill MacLeod6Benjamin Tupper7David W. Miller8Adrienne T. Tracy9Carol White10Matt Moretti11Ben Hamilton12Cameron Barner13Stephen D. Archer14Bigelow Laboratory for Ocean Sciences, Tandy Center for Ocean Forecasting, East Boothbay, ME, United StatesBigelow Laboratory for Ocean Sciences, Tandy Center for Ocean Forecasting, East Boothbay, ME, United StatesMaine Department of Marine Resources, Boothbay, ME, United StatesBigelow Analytical Services, Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, United StatesBigelow Analytical Services, Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, United StatesMaine Department of Marine Resources, Boothbay, ME, United StatesMaine Department of Marine Resources, Boothbay, ME, United StatesBigelow Laboratory for Ocean Sciences, Tandy Center for Ocean Forecasting, East Boothbay, ME, United StatesMaine Department of Marine Resources, Boothbay, ME, United StatesMaine Department of Marine Resources, Boothbay, ME, United StatesBiology Department Southern Maine Community College, South Portland, ME, United StatesBangs Island Mussels, Portland, ME, United StatesLovepoint Oysters, South Freeport, ME, United StatesLovepoint Oysters, South Freeport, ME, United StatesBigelow Analytical Services, Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, United StatesParalytic 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.https://www.frontiersin.org/articles/10.3389/fmars.2022.923738/fullforecastharmful algal bloomMaineneural networkparalytic shellfish toxinstakeholder
spellingShingle Nicholas R. Record
Johnathan Evanilla
Kohl Kanwit
Craig Burnell
Carmen Cartisano
Bryant J. Lewis
Jill MacLeod
Benjamin Tupper
David W. Miller
Adrienne T. Tracy
Carol White
Matt Moretti
Ben Hamilton
Cameron Barner
Stephen D. Archer
Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine
Frontiers in Marine Science
forecast
harmful algal bloom
Maine
neural network
paralytic shellfish toxin
stakeholder
title Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine
title_full Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine
title_fullStr Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine
title_full_unstemmed Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine
title_short Benefits and Challenges of a Stakeholder-Driven Shellfish Toxicity Forecast in Coastal Maine
title_sort benefits and challenges of a stakeholder driven shellfish toxicity forecast in coastal maine
topic forecast
harmful algal bloom
Maine
neural network
paralytic shellfish toxin
stakeholder
url https://www.frontiersin.org/articles/10.3389/fmars.2022.923738/full
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