Short Citation:
Office for Coastal Management, 2021: Community-Based Adaptation Planning for New Hampshire - NERRS/NSC(NERRS Science Collaborative), https://www.fisheries.noaa.gov/inport/item/57715.

Item Identification

Title: Community-Based Adaptation Planning for New Hampshire - NERRS/NSC(NERRS Science Collaborative)
Status: Completed
Abstract:

New Hampshire’s changing climate is evident not only to scientists but also to communities attempting to respond to its impacts. As the climate continues to shift, the wellbeing of these communities will depend on their ability to anticipate and adapt to current and future changes. To do that, stakeholders need accurate information about local climate impacts and risks and the ability to have tough conversations as they decide how best to protect infrastructure, businesses, and human safety.

Purpose:

In response, Great Bay Reserve worked with the University of New Hampshire and other partners to develop a model climate adaptation plan for the town of Exeter to help local decision-makers address the intensifying stormwater runoff, flooding, sea level rise, nonpoint source pollution, and habitat change associated with a shifting climate.

Supplemental Information:

Project Lead and Contact:

Steve Miller, Great Bay NERR, steve.miller@wildlife.nh.gov

Project Type: Collaborative Research

Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Estuary
None climate adaptation
None climate change
None vulnerability assessment

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
None Great Bay, NH

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: 878759
Date Effective From: 2017-10-31
Date Effective To:
Contact (Person): Cothran, Jeremy
Email Address: jeremy.cothran@gmail.com

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 880925
W° Bound: -70.97
E° Bound: -70.82
N° Bound: 43.18
S° Bound: 42.975
Description

Great Bay, NH NERR

Extent Group 1 / Time Frame 1

CC ID: 878763
Time Frame Type: Range
Start: 2013-09-01
End: 2015-06-01

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: 878760
URL: http://www.nerrssciencecollaborative.org/project/Miller13
URL Type:
Online Resource
Description:

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

Catalog Details

Catalog Item ID: 57715
Metadata Record Created By: Jeremy Cothran
Metadata Record Created: 2019-09-24 15:23+0000
Metadata Record Last Modified By: Tyler Christensen
Metadata Record Last Modified: 2019-11-01 14:42+0000
Metadata Record Published: 2019-11-01
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2020-11-01