2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

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5/20/2019  |   10:15 AM - 10:30 AM   |  BUILDING A SPATIAL STATISTICAL NETWORK MODEL OF STREAM TEMPERATURE TO GUIDE RESTORATION DECISIONS IN AN INTERNATIONAL WATERSHED   |  151 ABC

BUILDING A SPATIAL STATISTICAL NETWORK MODEL OF STREAM TEMPERATURE TO GUIDE RESTORATION DECISIONS IN AN INTERNATIONAL WATERSHED

The Houlton Band of Maliseet Indians (HBMI) are working with the United States Environmental Protection Agency to build a stream temperature spatial statistical network (SSN) model of the Meduxnekeag Watershed. The Meduxnekeag Watershed is a 1336 km2 watershed that flows through Maliseet tribal lands and is split by international boundaries with headwaters in Maine, United States and the confluence with the St. John River in New Brunswick, Canada. Modelling across international boundaries creates challenges because datasets are usually constrained to political boundaries, and data resolution and collection methods can differ between countries. The 2017 release of the High Resolution National Hydrology Dataset Plus includes watersheds that cross international boundaries, which enables creating SSN temperature models at riparian buffer management scales in the Meduxnekeag Watershed. The model was developed using 53 stream temperature monitoring stations throughout the watershed and watershed attribute data from both the United States and Canada. HBMI will use the model to determine the location of cold water refuges and to select areas for riparian restoration to expand habitat for Brook Trout and restoring Atlantic Salmon populations.

  • Spatial
  • Watershed
  • Restoration

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Presenters/Authors

Stephanie Figary (), ORISE Research Participant at the USEPA EPA/ORD/NHEERL Atlantic Ecology Division, figary.stephanie@epa.gov;


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Naomi Detenbeck (), U.S. EPA/ORD/NHEERL Atlantic Ecology Division, Detenbeck.Naomi@epa.gov;


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Cara O'Donnell (), Houlton Band of Maliseet Indians, , water@maliseets.com;


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