JOURNAL ARTICLE

Effects of exploitation and emigration on apparent survival of Walleye in Lake Sharpe, South Dakota.

  • Published In: North American Journal of Fisheries Management, 2024, v. 44, n. 6. P. 1476 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Sacco, Laurel H.; Fincel, Mark J.; Goble, Cameron W.; Davis, Tanner; Chipps, Steven R. 3 of 3

Abstract

This article focuses on a five-year mark–recapture study conducted from 2017 to 2022 to estimate apparent survival, angler exploitation, and downstream emigration of Walleye (Sander vitreus) in Lake Sharpe, South Dakota, to inform fishery management. The study found that apparent survival was primarily influenced by Walleye length and a 381-mm minimum harvest length restriction, with lower survival during months when this restriction was suspended. Annual exploitation rates were generally low (8–25%), and emigration probabilities (11–28%) increased with proximity to Big Bend Dam and higher reservoir discharge, though neither exploitation nor emigration fully explained the magnitude of mortality observed. The findings highlight the importance of harvest regulations on angler behavior and suggest that natural mortality and emigration contribute substantially to Walleye population dynamics, indicating a need for further research on immigration, natural mortality, and angler harvest motivations to better guide management strategies.

Additional Information

  • Source:North American Journal of Fisheries Management. 2024/12, Vol. 44, Issue 6, p1476
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2024
  • ISSN:0275-5947
  • DOI:10.1002/nafm.11062
  • Accession Number:183922671
  • 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.