Applying a Coupled Biophysical Model to Predict Larval Dispersal and Source/Sink Relationships in a Depleted Metapopulation of the Eastern OysterCrassostrea virginica

Arnold, William S.; Meyers, Steven D.; Geiger, Stephen P.; Luther, Mark E.; Narváez, Diego; Frischer, Marc E.; Hofmann, Eileen

doi:10.2983/036.036.0112

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

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Applying a Coupled Biophysical Model to Predict Larval Dispersal and Source/Sink Relationships in a Depleted Metapopulation of the Eastern OysterCrassostrea virginica

2017
By Arnold, William S. ; Meyers, Steven D. ; Geiger, Stephen P. ; ...
Source: Journal of Shellfish Research, 36(1), 101-118

[PDF-2.87 MB]

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Journal Title:

Journal of Shellfish Research
Personal Author:

Arnold, William S. ; Meyers, Steven D. ; Geiger, Stephen P. ; Luther, Mark E. ; Narváez, Diego ; ... More +

Arnold, William S. ; Meyers, Steven D. ; Geiger, Stephen P. ; Luther, Mark E. ; Narváez, Diego ; Frischer, Marc E. ; Hofmann, Eileen Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; SER (Southeast Region)

NMFS (National Marine Fisheries Service) ; SER (Southeast Region) Less -
Description:

The eastern oyster Crassostrea virginica once supported one of the largest ﬁsheries in the eastern United States. Oyster populations and the reefs they form have suffered chronic long-term decline throughout the species /C213range, including in northwest Florida /C213s Pensacola Bay estuary system (PBS). To guide efforts to rebuild oyster populations in the PBS, connectivity patterns were evaluated among historic and extant reef locations using an integrated biophysical numerical model. Water quality parameters and oyster recruitment were monitored in May 2007 and then monthly from July 2007 through July 2008. Resultantsalinity data were used to calibrate an Estuarine Coastal Ocean Model–based numerical circulation model of Pensacola Bay,which was then coupled to an existing, individual-based, oyster larvae routine to predict ontogenetic larval distribution. Three- dimensional Lagrangian transport algorithms were used to simulate transport of modeled larvae during four 20-day time periods during those summer and autumn months when oyster recruitment was empirically recorded in the bay. Based on outcomes fromcontemporaneous sampling of oyster larvae, the model was shown to represent the salient features of oyster larval distribution inPensacola Bay. There were, however, instances of incongruity between modeled and sampled outcomes, indicating that model
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Aquatic Science
Source:

Journal of Shellfish Research, 36(1), 101-118
DOI:

https://doi.org/10.2983/036.036.0112
ISSN:

0730-8000;1943-6319;
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PDF
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National Shellfisheries Association
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Journal Article
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Grant no. NA06NMF4540319
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urn:sha256:0986ecaef42062e90fe1b83a230dba16c2f975b875d15a637522a6c720960a16
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Applying a Coupled Biophysical Model to Predict Larval Dispersal and Source/Sink Relationships in a Depleted Metapopulation of the Eastern OysterCrassostrea virginica

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