JOURNAL ARTICLE

Light Trapping Reveals Multiple Bigheaded Carp Spawns Upstream of Lock and Dam 19 in the Upper Mississippi River.

  • Published In: North American Journal of Fisheries Management, 2023, v. 43, n. 1. P. 81 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: La Hood, Boone M.; Thomsen, Tyler C.; Lenaerts, Allison W.; Tomczak, Madeline G.; Szott, Emily A.; Woiak, Zebadiah; Von Ruden, Kyle M.; Bockrath, Katherine D.; Irons, Kevin S.; Lamer, James T. 3 of 3

Abstract

This article focuses on the reproduction and larval recruitment of invasive Bighead Carp (Hypophthalmichthys nobilis) and Silver Carp (Hypophthalmichthys molitrix), collectively known as bigheaded carp, upstream of Lock and Dam 19 (LD19) on the upper Mississippi River. Using quadrafoil light traps deployed from 2016 to 2018 in Pools 17–19, researchers documented advanced larval and postlarval bigheaded carp only in Pool 19, confirming successful spawning and recruitment past the yolk sac stage in this critical management zone. Genetic analyses verified the presence of both Silver Carp and Bighead Carp larvae, with evidence of multiple spawning events in 2016 and fewer in subsequent years, suggesting variable recruitment success influenced by environmental conditions. The study highlights the importance of monitoring larval retention and recruitment upstream of LD19 to inform management strategies aimed at limiting the spread of these invasive species.

Additional Information

  • Source:North American Journal of Fisheries Management. 2023/02, Vol. 43, Issue 1, p81
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2023
  • ISSN:0275-5947
  • DOI:10.1002/nafm.10630
  • Accession Number:162104226
  • 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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