JOURNAL ARTICLE
Seasonal movements and demographics of the endangered White River Spinedace to inform restoration and translocation.
Published In: Transactions of the American Fisheries Society, 2025, v. 154, n. 3. P. 246 1 of 3
Database: Environment Complete 2 of 3
Authored By: Burdick, Summer M; Harter, James F; Beckstrand, Mark; Paul-Wilson, Rachael K; Hayes, Brian S; Perry, Russell W; Smith, Collin D 3 of 3
Abstract
The article focuses on the seasonal movements, habitat use, demographics, and survival of the endangered White River Spinedace (Lepidomeda albivallis) in the Flag Springs Complex, Nevada, to inform conservation translocations and restoration efforts. Using passive integrated transponder (PIT) tagging and remote detection, the study found that White River Spinedace occupy complex spring habitats with water temperatures between 13° C and 21° C, exhibit high site fidelity, and show increased activity during spawning seasons without large-scale migrations. Monthly survival rates were higher from June to November than from November to June, with median life expectancy after tagging around five months and only about 1% surviving beyond three to four years. Population estimates indicated fewer than a thousand individuals in the study area, with stable or slightly increasing trends, and recruitment to the taggable size class (≥70 mm total length) varied seasonally. These findings emphasize the importance of selecting predator-free, thermally suitable, and hydraulically complex habitats for translocation and highlight the need for ongoing monitoring due to the species' short lifespan and demographic characteristics.
Additional Information
- Source:Transactions of the American Fisheries Society. 2025/05, Vol. 154, Issue 3, p246
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2025
- ISSN:0002-8487
- DOI:10.1093/tafafs/vnaf007
- Accession Number:187456833
- 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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