Short Citation:
Office for Coastal Management, 2020: Exploring Applications of Ecosystem Service Conceptual Models for Coastal Habitats - NERRS/NSC(NERRS Science Collaborative), https://inport.nmfs.noaa.gov/inport/item/54579.

Item Identification

Title: Exploring Applications of Ecosystem Service Conceptual Models for Coastal Habitats - NERRS/NSC(NERRS Science Collaborative)
Status: Completed
Abstract:

People receive numerous benefits from nature, such as water purification, coastal protection, and food production. These ecosystem services are an increasingly important consideration for coastal managers as they design management interventions to protect coastal habitat. This includes National Estuarine Research Reserve managers, who are working to better understand ecosystem services across the reserve system. However, without a standardized approach it has been difficult for coastal managers to consistently incorporate ecosystem services into programs or projects. In response to this need, researchers with Duke University’s National Ecosystem Services Partnership developed Ecosystem Services Conceptual Models (ESCMs) for estuarine habitats that diagram the way a management intervention cascades through an ecological system and provides benefits to people. The Duke team built on previous work that created an ecosystem services modeling approach for salt marsh. In partnership with the Rookery Bay and North Carolina National Estuarine Research Reserves and their stakeholders, the team led a series of workshops to produce site-specific and generalized Ecosystem Services Conceptual Models for mangrove and oyster habitat restoration in the southeast United States. This catalyst project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to advance collaborative science. It did not produce any new data.

Purpose:

This project created a framework for coastal managers to streamline the integration of ecosystem services into their programs. Ecosystem Services Conceptual Models. These models offer a foundation for managers to identify and anticipate ecosystem service outcomes of projects and to communicate with stakeholders and the public about these benefits. These models also provide an entry point to identify socio-economic metrics to monitor, assess, and value coastal ecosystems. This framework can ultimately assist in the development of a standardized approach for consideration of ecosystem services within NOAA and the National Estuarine Research Reserve System.

Supplemental Information:

Project Lead

Lydia Olander

Duke University

(919) 613-8713

Lydia.Olander@duke.edu

Project Type

Catalyst – Targeted investment for

advancing collaborative science

Project Collaborators

• Duke University

• North Carolina National Estuarine

Research Reserve, North Carolina

• Rookery Bay National Estuarine

Research Reserve, Florida

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Estuary

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 Continent > North America > United States Of America > North Carolina
None North Carolina NERR, NC
None Rookery Bay NERR, FL

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

The distributor does not assume liability.

Support Roles

Metadata Contact

CC ID: 795463
Date Effective From: 2017-10-31
Date Effective To:
Contact (Person): Cothran, Jeremy
Email Address: jeremy.cothran@gmail.com

Originator

CC ID: 795464
Date Effective From: 2018-09
Date Effective To: 2020-01
Contact (Person): Olander, Lydia
Email Address: Lydia.Olander@duke.edu

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 886191
W° Bound: -81.78
E° Bound: -81.455
N° Bound: 26.1
S° Bound: 25.8
Description

Rookery Bay, FL NERR

Extent Group 1 / Geographic Area 2

CC ID: 795461
W° Bound: -77.96
E° Bound: -75.65
N° Bound: 36.5
S° Bound: 33.85
Description

North Carolina, NC NERR

Extent Group 1 / Time Frame 1

CC ID: 795460
Time Frame Type: Range
Start: 2018-09
End: 2020-01

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

Cite this dataset when used as a source: NOAA retains the right to analyze, synthesize and publish summaries of the NERRS/NSC data. The NERRS/NSC retains the right to be fully credited for having collected and process the data. Following academic courtesy standards, the NERR site where the data were collected should be contacted and fully acknowledged in any subsequent publications in which any part of the data are used. The data enclosed within this package/transmission are only as accurate as the quality assurance and quality control procedures that are described in the associated metadata reporting statement allow. The user bears all responsibility for its subsequent use/misuse in any further analyses or comparisons. The Federal government does not assume liability to the Recipient or third persons, nor will the Federal government reimburse or indemnify the Recipient for its liability due to any losses resulting in any way from the use of this data. Requested citation format: NOAA National Estuarine Research Reserve System (NERRS) Science Collaborative(NSC).

URLs

URL 1

CC ID: 795466
URL: http://www.nerrssciencecollaborative.org/project/Olander18
URL Type:
Online Resource
Description:

This site provides a project overview and links to all associated products, including data.

Catalog Details

Catalog Item ID: 54579
Metadata Record Created By: Jeremy Cothran
Metadata Record Created: 2018-11-01 11:24+0000
Metadata Record Last Modified By: Tyler Christensen
Metadata Record Last Modified: 2020-06-09 17:09+0000
Metadata Record Published: 2020-06-09
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2021-06-10