JOURNAL ARTICLE

The Relationship between Disturbance Events and Substantial Changes in Stream Conditions on Public Lands in the Inland Pacific Northwest.

  • Published In: North American Journal of Fisheries Management, 2023, v. 43, n. 1. P. 268 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Roper, Brett; Saunders, W. Carl; Ojala, Jeffrey V. 3 of 3

Abstract

This article examines how various hydrologic, terrestrial, and biotic disturbances influence stream channel conditions critical to aquatic biota persistence, using data from over 2,000 stream reaches monitored between 2001 and 2019 on U.S. Forest Service and Bureau of Land Management lands in the interior Columbia River and upper Missouri River basins. The study identifies eight primary disturbance mechanisms—streamflow variation, beaver dams, wood obstruction, fire, sediment pulses, vegetative growth, ungulate grazing, and active restoration—and finds that while large-scale events like fires and floods affect streams, most substantial changes in channel characteristics (bank-full width, wood frequency, median particle size, pool depth, and bank stability) are driven by smaller-scale disturbances such as beaver activity, tree fall, vegetation changes, and grazing. The research highlights that no single sampling approach captures all disturbance effects due to their variability in intensity, scale, and temporal dynamics, and suggests that integrating a broad understanding of disturbance types can improve management strategies aimed at maintaining or enhancing stream conditions and aquatic habitat resilience.

Additional Information

  • Source:North American Journal of Fisheries Management. 2023/02, Vol. 43, Issue 1, p268
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2023
  • ISSN:0275-5947
  • DOI:10.1002/nafm.10858
  • Accession Number:162104238
  • Copyright Statement:Copyright of North American Journal of Fisheries Management is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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