4.7 Article

Guiding riparian management in a transboundary watershed through high resolution spatial statistical network models

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 278, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2020.111585

Keywords

Stream temperature; Spatial statistical network model; Riparian buffer

Funding

  1. U.S. Environmental Protection Agency through the U.S. EPA Green Infrastructure research program
  2. U.S. EPA [92429801]
  3. Department of Energy [92429801]

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The United States Environmental Protection Agency and the Houlton Band of Maliseet Indians collaborated to build a stream temperature model for the Meduxnekeag Watershed, using a high-resolution hydrology dataset. The model predicted stream temperatures at different time periods, guiding riparian restoration projects to expand habitat for cold water fishes.
The United States Environmental Protection Agency and the Houlton Band of Maliseet Indians (HBMI) built a stream temperature spatial statistical network (SSN) model for the Meduxnekeag Watershed. The headwaters of the Meduxnekeag Watershed are in Maine, United States of America and the outlet is in New Brunswick, Canada, creating an additional challenge because many datasets are constrained to political boundaries. The release of the High-Resolution National Hydrology Dataset Plus included transboundary watersheds and enabled creation of fine resolution (1:24,000) SSN temperature models consistent with management scales for riparian buffers. SSN models were developed for July, August, and September median stream temperatures and the growing season maximum (GSM). Fitted SSN models had relatively high R-2 values (0.88-0.96) and all final models included significant parameters for shade-attenuated solar radiation, reference flow, air temperature, and bankfull depth or width. Fitted models predicted stream temperatures during a dry (2010) and wet (2011) year. Monthly models predicted the fewest cold water (<19.0 degrees C) reaches in July with 28% in the dry and 68% in the wet year. September had >99% cold water reaches, and August results were intermediate between July and September. GSM predictions found 81% of stream reaches could not support salmonid survival (>27.0 degrees C) in the dry year and 59% of the reaches were warmwater (22.5-27.0 degrees C) in the wet year. The model was used to predict stream temperatures following restoration scenarios of a forested 30-m or 90-m buffer of stream segments bordered by agricultural or developed land. The restoration scenarios expanded cold water habitat based on monthly median temperatures and decreased the habitat area with GSM above survival thresholds, with little difference in effectiveness of the two buffer widths. These results will guide riparian restoration projects by the HBMI to expand habitat for cold water fishes.

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