JOURNAL ARTICLE

Landscape characteristics influence projected growth rates of stream‐resident juvenile salmon in the face of climate change in the Kenai River watershed, south‐central Alaska.

  • Published In: Transactions of the American Fisheries Society, 2023, v. 152, n. 2. P. 169 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Meyer, Benjamin E.; Wipfli, Mark S.; Schoen, Erik R.; Rinella, Daniel J.; Falke, Jeffrey A. 3 of 3

Abstract

This article focuses on the projected impacts of climate change on the summer growth rates of juvenile Chinook Salmon (Oncorhynchus tshawytscha) and Coho Salmon (Oncorhynchus kisutch) in the Kenai River watershed of south-central Alaska. Using bioenergetics and temperature sensitivity models informed by field data on diet, growth, and water temperatures from 2015–2016, the study projects that climate warming over the coming decades (2030–2069) will generally reduce juvenile salmon growth during summer by 5.1% to 22.8% relative to a 2010–2019 baseline, with variation depending on age cohort, feeding rate, and local habitat characteristics. The study highlights that low-elevation tributaries with higher air–water temperature sensitivity and salmon feeding at lower rates are likely to experience the greatest declines, though an extended growing season due to warming could partially offset these reductions. These findings underscore the heterogeneous responses of juvenile salmon growth to climate warming across diverse freshwater habitats and emphasize the importance of conserving varied and interconnected habitats to support salmon populations under changing environmental conditions.

Additional Information

  • Source:Transactions of the American Fisheries Society. 2023/03, Vol. 152, Issue 2, p169
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2023
  • ISSN:0002-8487
  • DOI:10.1002/tafs.10397
  • Accession Number:162823891
  • 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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