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Estuarine Fish Habitat Assessment and Winter Flounder Pilot Study

Dates

Creation
2018-01-19 16:24:30
Last Update
2018-02-08 16:18:12
Release Date
2015-11

Citation

Fritz Boettner(Principal Investigator), North Atlantic Landscape Conservation Cooperative(administrator), 2018-01-19(creation), 2018-02-08(lastUpdate), 2015-11(Release), Estuarine Fish Habitat Assessment and Winter Flounder Pilot Study

Summary

As part of a suite of aquatic habitat assessments and tools designed to support conservation efforts in the Northeast region, the environmental consulting firm Downstream Strategies developed predictive models for estuarine habitat in Narragansett Bay and Long Island Sound, using winter flounder as the focal species to pilot the approach. This study describes the development of a flexible modeling process that can help scientists better understand the distribution, status, threats, and relative abundance of resources in dynamic aquatic habitats.The winter flounder results are built into the Fish Habitat Decision Support Tool website. The website also includes tutorial videos and additional help.

Contacts

Attached Files

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md_metadata.json 56.02 KB application/json
WinterFlounder_comprehensive_report_final.pdf
“Estuarine Fish Habitat Assessment: A General Framework and Winter Flounder...”
2.66 MB application/pdf

Material Request Instructions

North Atlantic Landscape Conservation Cooperative(Data Owner)

Purpose

The modeling results contained within the project report along with the publicly accessible web application is intended to improve public awareness of conditions of the modeled estuaries and empower resource managers to implement scientifically-defensible conservation actions.

Map

Spatial Services

ScienceBase WMS

Communities

  • LC MAP - Landscape Conservation Management and Analysis Portal
  • North Atlantic Landscape Conservation Cooperative

Associated Items

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Provenance

generated using ADIwg mdTranslator 2.13.3

Additional Information

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Type Scheme Key
File Identifier file identifier 5a621bbee4b06e28e9c3d7be

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