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

RESTORE Sponsored Research Project: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida

Data Set (DS)  |  National Centers for Coastal Ocean Science (NCCOS)
GUID: gov.noaa.nmfs.inport:58981  |  Updated: September 2, 2022  |  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: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida, https://www.fisheries.noaa.gov/inport/item/58981.
Full Citation Examples

Abstract

This project will develop a decision-support tool to aid resource managers, municipalities, and a county with decisions related to the preservation and restoration of mangrove, marsh, and beach habitats; water management; and coastal planning, zoning, and land acquisition.

Distribution Information

  • Sheng, Y.P., V.A. Paramygin, and J.R. Davis. 2022. NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Flood Maps for current conditions, 2030, 2060, and 2100 under different sea level rise scenarios (NCEI Accession 0248802). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/kak7-1a89

  • Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Episodic Water Level Monitoring in Henderson Creek and Rookery Bay from 2018-06-10 to 2020-01-10 (NCEI Accession 0246938). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37

  • Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Episodic Water Level Monitoring in Goodland from 2018-06-10 to 2020-01-09 (NCEI Accession 0246055). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37

  • Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: episodic water level monitoring in Clam Bay from 2018-06-10 to 2020-01-07 (NCEI Accession 0244397). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37

  • Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in southwest Florida: episodic water level monitoring in Ten Thousand Islands from 2018-06-10 to 2020-01-08 (NCEI Accession 0244860). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37

  • Buffington, K., M. Barry, and K. Thorne. 2021. Wetland classification model developed with remotely sensed imagery obtained from the Sentinel-1 and -2 satellites and digitized species distribution maps for southwest Florida, coastal Gulf of Mexico, from 2010 to 2018 (NCEI Accession 0243071). NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/243071

  • Sharp, S., P. Norby, and C. Angelini. 2020. NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in southwest Florida: measured and laser-scanned vegetation structure from 2017-11-27 to 2017-12-02 (NCEI Accession 0222471). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/q9mn-d869

  • Buffington, K.J., and K.M. Thorne. 2019. LEAN-Corrected Collier County DEM for wetlands. U.S. Geological Survey data release. https://doi.org/10.5066/P9GJFZHT

Access Constraints:

None

Use Constraints:

None

Controlled Theme Keywords

DYNAMIC VEGETATION/ECOSYSTEM MODELS, OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN 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

-81.822705° W, -81.524302° E, 26.225565° N, 25.847874° S

Project fieldwork

Time Frame 1
2017-06 - 2021-05

Project

Time Frame 2
2017-11-27 - 2017-12-02

Project fieldwork

Item Identification

Title: RESTORE Sponsored Research Project: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida
Short Name: Project: Sheng, Local Coastal Tool
Status: In Work
Creation Date: 2017
Publication Date: 2020
Abstract:

This project will develop a decision-support tool to aid resource managers, municipalities, and a county with decisions related to the preservation and restoration of mangrove, marsh, and beach habitats; water management; and coastal planning, zoning, and land acquisition.
Purpose:

Southwest Florida contains the largest area of tidally influenced public lands in the Gulf of Mexico and the fastest growing urban landscape in Florida. Both the human and natural components of the ecosystem are under increasing risk due to the threats of a growing human population, sea level rise, and tropical cyclones. This decision-support tool will aid resource managers with preservation and restoration of mangrove, marsh, beach habitats and adaptation of water management efforts to mitigate future saltwater intrusion in estuaries and their associated habitats.

This information will be useful for strategic coastal resiliency planning. To ensure the tools use, end-users will be consulted during its development and trained on how to use the tool. End-users will be involved in the development of a decision-support tool to inform decisions in coastal planning, zoning, land acquisition, and restoration using state-of-the-art computer models.

This project is led by the University of Florida in partnership with Florida Gulf Coast University, University of Miami, U.S. Geological Survey, and the The Institute of Regional Conservation.

This project is funded by the NOAA National Centers for Coastal Ocean Science (NCCOS) RESTORE Science Program under award NA17NOS4510094 to the University of Florida.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Service Keywords
EARTH SCIENCE SERVICES > MODELS > DYNAMIC VEGETATION/ECOSYSTEM MODELS
Global Change Master Directory (GCMD) Service Keywords
EARTH SCIENCE SERVICES > MODELS > OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN 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
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA
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: 898829
Date Effective From: 2020
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Distributor

CC ID: 1183135
Date Effective From: 2020
Date Effective To:
Contact (Organization): National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS)
Address: Building 1021, Suite 1003
Stennis Space Center, MS 39529
Phone: (228) 688-2936

Distributor

CC ID: 1183136
Date Effective From: 2019
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 898830
Date Effective From: 2020
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Point of Contact

CC ID: 898831
Date Effective From: 2017
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov
Contact Instructions:

Dave Kidwell, NOAA NCCOS, david.kidwell@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: 898840
W° Bound: -98
E° Bound: -82
N° Bound: 31
S° Bound: 18
Description

RESTORE Program

Extent Group 1 / Geographic Area 2

CC ID: 898841
W° Bound: -81.822705
E° Bound: -81.524302
N° Bound: 26.225565
S° Bound: 25.847874
Description

Project fieldwork

Extent Group 1 / Time Frame 1

CC ID: 898839
Time Frame Type: Range
Start: 2017-06
End: 2021-05
Description:

Project

Extent Group 1 / Time Frame 2

CC ID: 991834
Time Frame Type: Range
Start: 2017-11-27
End: 2017-12-02
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: 1183144
Start Date: 2022-03-06
End Date: Present
Download URL: https://doi.org/10.25921/kak7-1a89
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Flood Maps
Description:

Sheng, Y.P., V.A. Paramygin, and J.R. Davis. 2022. NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Flood Maps for current conditions, 2030, 2060, and 2100 under different sea level rise scenarios (NCEI Accession 0248802). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/kak7-1a89
File Type (Deprecated): NCEI Archived Data Accession

Distribution 2

CC ID: 1183143
Start Date: 2022-02-25
End Date: Present
Download URL: https://www.ncei.noaa.gov/archive/accession/0246938
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Episodic Monitoring - Henderson Creek and Rookery Bay
Description:

Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Episodic Water Level Monitoring in Henderson Creek and Rookery Bay from 2018-06-10 to 2020-01-10 (NCEI Accession 0246938). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37
File Type (Deprecated): NCEI Archived Data Accession

Distribution 3

CC ID: 1183142
Start Date: 2022-02-14
End Date: Present
Download URL: https://www.ncei.noaa.gov/archive/accession/0246055
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Episodic Monitoring - Goodland
Description:

Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Episodic Water Level Monitoring in Goodland from 2018-06-10 to 2020-01-09 (NCEI Accession 0246055). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37
File Type (Deprecated): NCEI Archived Data Accession

Distribution 4

CC ID: 1183140
Start Date: 2022-02-13
End Date: Present
Download URL: https://www.ncei.noaa.gov/archive/accession/0244397
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Episodic Monitoring - Clam Bay
Description:

Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: episodic water level monitoring in Clam Bay from 2018-06-10 to 2020-01-07 (NCEI Accession 0244397). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37
File Type (Deprecated): NCEI Archived Data Accession

Distribution 5

CC ID: 1183141
Start Date: 2022-01-06
End Date: Present
Download URL: https://www.ncei.noaa.gov/archive/accession/0244860
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Episodic Monitoring - Ten Thousand Islands
Description:

Davis, J.R., and T. Van Natta. 2022. NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in southwest Florida: episodic water level monitoring in Ten Thousand Islands from 2018-06-10 to 2020-01-08 (NCEI Accession 0244860). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/src6-qm37
File Type (Deprecated): NCEI Archived Data Accession

Distribution 6

CC ID: 1183139
Start Date: 2021-11-15
End Date: Present
Download URL: https://www.ncei.noaa.gov/archive/accession/243071
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Wetland classification model
Description:

Buffington, K., M. Barry, and K. Thorne. 2021. Wetland classification model developed with remotely sensed imagery obtained from the Sentinel-1 and -2 satellites and digitized species distribution maps for southwest Florida, coastal Gulf of Mexico, from 2010 to 2018 (NCEI Accession 0243071). NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/243071
File Type (Deprecated): NCEI Archived Data Accession

Distribution 7

CC ID: 1183138
Start Date: 2020-12-01
End Date: Present
Download URL: https://doi.org/10.25921/q9mn-d869
Distributor: National Centers for Environmental Information - Stennis Space Center, Mississippi (NCEI-MS) (2020 - Present)
File Name: Vegetation Structure
Description:

Sharp, S., P. Norby, and C. Angelini. 2020. NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in southwest Florida: measured and laser-scanned vegetation structure from 2017-11-27 to 2017-12-02 (NCEI Accession 0222471). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/q9mn-d869
File Type (Deprecated): NCEI Archived Data Accession

Distribution 8

CC ID: 1183137
Start Date: 2019-09-20
End Date: Present
Download URL: https://doi.org/10.5066/P9GJFZHT
Distributor: U.S. Geological Survey (2019 - Present)
File Name: Wetland DEM data
Description:

Buffington, K.J., and K.M. Thorne. 2019. LEAN-Corrected Collier County DEM for wetlands. U.S. Geological Survey data release. https://doi.org/10.5066/P9GJFZHT

URLs

URL 1

CC ID: 898833
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: 898834
URL: https://restoreactscienceprogram.noaa.gov/projects/local-coastal-tool
Name: Local Coastal Tool
URL Type:
Online Resource
Description:

RESTORE Research Project Webpage: A Web-Based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida

URL 3

CC ID: 991835
URL: https://aces.coastal.ufl.edu/ACUNE/
Name: ACUNE Tool
URL Type:
Online Resource
Description:

Adaptation of Coastal Urban and Natural Ecosystems (ACUNE)

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:

First, a suite of coupled state-of-the-art models will be used to create inundation, salinity distribution, habitat distribution, beach and barrier islands vulnerability, and economic impact maps for current and future climates and for various sea level rise scenarios specific to the region. The researchers will then integrate the maps into an Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) web-based interactive decision-support tool that enables users to identify areas of high vulnerability in many layers of interest.

Acquisition Information

Instruments

Instrument Unavailable Reason: Not Applicable

Platforms

Platform Unavailable Reason: Not Applicable

Catalog Details

Catalog Item ID: 58981
GUID: gov.noaa.nmfs.inport:58981
Metadata Record Created By: Jessica Morgan
Metadata Record Created: 2020-03-04 15:47+0000
Metadata Record Last Modified By: Jessica Morgan
Metadata Record Last Modified: 2022-09-02 12:24+0000
Metadata Record Published: 2020-10-30
Owner Org: NCCOS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-10-30
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-10-30