Comparative recruitment dynamics of Alewife and Bloater in Lakes Michigan and Huron

Transactions of the American Fisheries Society
University of Michigan
By: , and 

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Abstract

The predictive power of recruitment models often relies on the identification and quantification of external variables, in addition to stock size. In theory, the identification of climatic, biotic, or demographic influences on reproductive success assists fisheries management by identifying factors that have a direct and reproducible influence on the population dynamics of a target species. More often, models are constructed as one-time studies of a single population whose results are not revisited when further data become available. Here, we present results from stock recruitment models for Alewife Alosa pseudoharengus and Bloater Coregonus hoyi in Lakes Michigan and Huron. The factors that explain variation in Bloater recruitment were remarkably consistent across populations and with previous studies that found Bloater recruitment to be linked to population demographic patterns in Lake Michigan. Conversely, our models were poor predictors of Alewife recruitment in Lake Huron but did show some agreement with previously published models from Lake Michigan. Overall, our results suggest that external predictors of fish recruitment are difficult to discern using traditional fisheries models, and reproducing the results from previous studies may be difficult particularly at low population sizes.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Comparative recruitment dynamics of Alewife and Bloater in Lakes Michigan and Huron
Series title Transactions of the American Fisheries Society
DOI 10.1080/00028487.2013.833986
Volume 143
Issue 1
Year Published 2014
Language English
Publisher Taylor & Francis
Contributing office(s) Great Lakes Science Center
Description 16 p.
First page 294
Last page 309
Country United States
Other Geospatial Lake Michigan and Lake Huron
Online Only (Y/N) N
Additional Online Files (Y/N) N
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