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NCCOS Metadata Library > NCCOS Grants: RESTORE Science Program > FY17 >

RESTORE Sponsored Research Project: SPAT: Shellfish Portfolio Assessment Tool

Data Set (DS)  |  National Centers for Coastal Ocean Science (NCCOS)
GUID: gov.noaa.nmfs.inport:63217  |  Updated: October 17, 2023  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Access Info
Distribution Info
URLs
Data Quality
Data Management
Lineage
Acquisition Info
Catalog Details

Summary

RESTORE Science Program

Short Citation
National Centers for Coastal Ocean Science, 2024: RESTORE Sponsored Research Project: SPAT: Shellfish Portfolio Assessment Tool, https://www.fisheries.noaa.gov/inport/item/63217.
Full Citation Examples

Abstract

This project will design, test, and put into use a decision support tool to assist resource managers and oyster farmers in optimizing oyster resources in the State of Mississippi.

Distribution Information

  • CSV - Comma Separated Values (Text)

    Petrolia, D.R., F. Nyanzu, J. Cebrian, A. Harri, J. Amato, and W.C. Walton. 2021. NOAA RESTORE Science Program: Shellfish Portfolio Assessment Tool: Expert judgment of oyster resources for ecosystem services, 2018-07-01 to 2018-11-30 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4675100

Access Constraints:

None

Use Constraints:

None

Controlled Theme Keywords

DYNAMIC VEGETATION/ECOSYSTEM MODELS

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov

Metadata Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov

Extents

Geographic Area 1

-98° W, -82° E, 31° N, 18° S

RESTORE Program

Geographic Area 2

-98° W, -66.5° E, 45° N, 24° S

Project fieldwork

Time Frame 1
2017-06 - 2021-05

Project

Time Frame 2
2018-07-01 - 2018-11-30

Project fieldwork

Item Identification

Title: RESTORE Sponsored Research Project: SPAT: Shellfish Portfolio Assessment Tool
Short Name: Project: Petrolia, Oyster Planning Tool
Status: In Work
Creation Date: 2017
Publication Date: 2020
Abstract:

This project will design, test, and put into use a decision support tool to assist resource managers and oyster farmers in optimizing oyster resources in the State of Mississippi.
Purpose:

The State of Mississippi has established an ambitious goal to produce one million sacks of oysters per year and to increase the ecological and economic benefits to the state from healthy and productive natural oyster reefs and farms. This project draws on knowledge from economics, ecology, marine extension, and resource management to design, test, and put into use a decision support tool to optimize the restoration and use of oyster resources in Mississippi.

This approach recognizes that oysters provide a number of ecological and economic benefits and decisions about their management are most informed when the entire suite of benefits is considered. This project will provide oyster restoration practitioners, resource managers, and farmers with a tool to minimize the downside risk and maximize the benefits from oyster restoration, planting, and farming. This project will demonstrate how combining an economic approach with ecological knowledge can lead to more informed management decisions.

This project is led by Mississippi State University in partnership with Auburn University, Dauphin Island Sea Lab, and Mississippi Department of Marine Resources.

This project is funded by the NOAA National Centers for Coastal Ocean Science (NCCOS) RESTORE Science Program under award NA17NOS4510090 to Mississippi State University. This work was also supported by the National Institute of Food and Agriculture and the Mississippi Agricultural and Forestry Experiment Station via Multistate Project W-4133 “Costs and Benefits of Natural Resources on Public and Private Lands: Management, Economic Valuation, and Integrated Decision-Making”, (Hatch Project MIS-033140).

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Service Keywords
EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS
UNCONTROLLED
NCCOS Keywords NCCOS Research Data Type > Field Observation
NCCOS Keywords NCCOS Research Data Type > Model
NCCOS Keywords NCCOS Sponsored Research > RESTORE Science Program

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF MEXICO
UNCONTROLLED
NCCOS Keywords NCCOS Research Location > Region > Gulf of Mexico

Physical Location

Organization: National Centers for Coastal Ocean Science
City: Silver Spring
State/Province: MD

Data Set Information

Data Set Scope Code: Data Set
Data Presentation Form: Table (digital)

Support Roles

Data Steward

CC ID: 992830
Date Effective From: 2020
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Distributor

CC ID: 1183903
Date Effective From: 2021
Date Effective To:
Contact (Organization): Zenodo
URL: homepage

Metadata Contact

CC ID: 992831
Date Effective From: 2020
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Point of Contact

CC ID: 992832
Date Effective From: 2017
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov
Contact Instructions:

Becky Allee, NOAA OCM, becky.allee@noaa.gov

Frank Parker, NOAA RESTORE Science Program, frank.parker@noaa.gov
View Historical Support Roles

Extents

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 992843
W° Bound: -98
E° Bound: -82
N° Bound: 31
S° Bound: 18
Description

RESTORE Program

Extent Group 1 / Geographic Area 2

CC ID: 992844
W° Bound: -98
E° Bound: -66.5
N° Bound: 45
S° Bound: 24
Description

Project fieldwork

Extent Group 1 / Time Frame 1

CC ID: 992841
Time Frame Type: Range
Start: 2017-06
End: 2021-05
Description:

Project

Extent Group 1 / Time Frame 2

CC ID: 992842
Time Frame Type: Range
Start: 2018-07-01
End: 2018-11-30
Description:

Project fieldwork

Access Information

Security Class: Unclassified
Data Access Procedure:

Download from website
Data Access Constraints:

None
Data Use Constraints:

None

Distribution Information

Distribution 1

CC ID: 1183904
Start Date: 2021-04-14
End Date: Present
Download URL: http://doi.org/10.5281/zenodo.4675100
Distributor: Zenodo (2021 - Present)
File Name: Ecosystem Services
Description:

Petrolia, D.R., F. Nyanzu, J. Cebrian, A. Harri, J. Amato, and W.C. Walton. 2021. NOAA RESTORE Science Program: Shellfish Portfolio Assessment Tool: Expert judgment of oyster resources for ecosystem services, 2018-07-01 to 2018-11-30 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4675100
File Type (Deprecated): csv (comma-separated values)
Distribution Format: CSV - Comma Separated Values (Text)

URLs

URL 1

CC ID: 992834
URL: https://cdn.coastalscience.noaa.gov/restore/restore_tagbottom.png
Name: RESTORE Science Program
URL Type:
Browse Graphic
RESTORE Science Program
Description:

RESTORE Science Program Logo

URL 2

CC ID: 992835
URL: https://restoreactscienceprogram.noaa.gov/projects/oyster-planning-tool
Name: Oyster Planning Tool
URL Type:
Online Resource
Description:

RESTORE Research Project Webpage: SPAT: Shellfish Portfolio Assessment Tool

Data Quality

Completeness Report:

For details, see Distribution Information.
Quality Control Procedures Employed:

For details of data quality control methods, see Lineage Sources. All users should independently analyze the datasets according to their own needs and standards to determine data usability.

Data Management

Have Resources for Management of these Data Been Identified?: No
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Is Access to the Data Limited Based on an Approved Waiver?: No
Approximate Delay Between Data Collection and Dissemination: 2 years
Actual or Planned Long-Term Data Archive Location: Other
Approximate Delay Between Data Collection and Archiving: 2 years
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

NCCOS IT Policy

Lineage

Lineage Statement:

The team will begin by determining the type and extent of benefits delivered by three distinct oyster cultivation practices – restored oyster reefs, traditional shell plantings, and off-bottom oyster farms – and assign a monetary value to both their market and non-market benefits. They will then develop budgets of construction and maintenance costs for restored reefs, plantings, and farms. Finally, the team will work in conjunction with the Mississippi Department of Marine Resources to develop and test a decision support tool that directs the user through multiple criteria to select the portfolio of oyster cultivation practices that minimizes downside risk while maximizing benefits.

Sources

1. Petrolia, D.R., F. Nyanzu, J. Cebrian, A. Harri, J. Amato, and W.C. Walton. 2020. Eliciting Expert Judgment to Inform Management of Diverse Oyster Resources for Multiple Ecosystem Services. Journal of Environmental Management 268 (August): 110676. https://doi.org/10.1016/j.jenvman.2020.110676

CC ID: 993578
Citation URL: https://doi.org/10.1016/j.jenvman.2020.110676
Citation URL Description:

Petrolia, D.R., F. Nyanzu, J. Cebrian, A. Harri, J. Amato, and W.C. Walton. 2020. Eliciting Expert Judgment to Inform Management of Diverse Oyster Resources for Multiple Ecosystem Services. Journal of Environmental Management 268 (August): 110676. https://doi.org/10.1016/j.jenvman.2020.110676

Acquisition Information

Instruments

Instrument Unavailable Reason: Not Applicable

Platforms

Platform Unavailable Reason: Not Applicable

Catalog Details

Catalog Item ID: 63217
GUID: gov.noaa.nmfs.inport:63217
Metadata Record Created By: Jessica Morgan
Metadata Record Created: 2020-11-16 00:56+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2020-11-17
Owner Org: NCCOS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-11-17
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-11-17