JOURNAL ARTICLE

Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture–recapture models.

  • Published In: Transactions of the American Fisheries Society, 2024, v. 153, n. 3. P. 326 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Wohner, Patti J.; Thurow, Russell F.; Peterson, James T. 3 of 3

Abstract

This article focuses on the migration and survival of fluvial Bull Trout (Salvelinus confluentus) in the Salmon River basin, Idaho, under contrasting streamflow and water temperature conditions from 1992 to 1994, providing insights relevant to climate change impacts. Using radio telemetry and a Bayesian linear spatial capture–recapture model, the study found that prespawning Bull Trout migration distances increased with higher streamflow and water temperature, with survival higher during the low-flow, warmer 1992 season compared to the high and variable flow 1993 season. Postspawning fish exhibited diverse migration and overwintering strategies, with survival remaining relatively constant over a longer period. Habitat complexity influenced detection rates, and the findings suggest that increased streamflow variability and warming associated with future climate change may adversely affect Bull Trout survival and migration patterns, emphasizing the importance of conserving diverse habitats and life history strategies for species persistence.

Additional Information

  • Source:Transactions of the American Fisheries Society. 2024/05, Vol. 153, Issue 3, p326
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2024
  • ISSN:0002-8487
  • DOI:10.1002/tafs.10464
  • Accession Number:177532676
  • Copyright Statement:Copyright of Transactions of the American Fisheries Society 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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