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A lidar‐based assessment of riparian shade and large wood potential in the Skagit River watershed, WA.

Authors :
Hyatt, Tim
Source :
Journal of the American Water Resources Association. Aug2023, Vol. 59 Issue 4, p743-761. 19p.
Publication Year :
2023

Abstract

Wild salmon stocks in the Pacific Northwest are imperiled by a variety of declining habitat factors, including riparian shade and in‐channel large wood. In this paper, a relatively simple lidar model of the riparian canopy was used along anadromous streams in the Skagit River watershed in western Washington State, United States, to delineate where riparian trees were most lacking, and where restoration efforts would have the greatest benefit in terms of shade and large wood recruitment potential. Within a 45‐m riparian buffer, 61% of riparian zones were currently incapable of delivering large wood to the stream. Current potential for large wood recruitment is greatest adjacent to stream edges and falls off rapidly with distance from the channel. Approximately 99% of large wood recruitment potential lies within 45 m of the channel edge, and 50% of the wood potential is within 9 m. A hypothetical canopy model in which all trees mature to a 100‐year height would provide 18% more shade distributed over the entire watershed, and 90% more shade in the tributaries. Most of the potential gains in improved shade and large wood contributions are in agricultural areas, as opposed to forestry or urban land uses. The shade and large wood models were constructed from widely available geographic information system tools and are readily transferable to other watersheds with similar characteristics. Model outputs are intended for use in planning restoration projects, as an input to stream temperature models, and to inform policy on restoration priorities and regulatory buffer widths. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1093474X
Volume :
59
Issue :
4
Database :
Academic Search Index
Journal :
Journal of the American Water Resources Association
Publication Type :
Academic Journal
Accession number :
168591748
Full Text :
https://doi.org/10.1111/1752-1688.13099