Estimation of lake-scale stock-recruitment models for Great Lakes sea lampreys

Ecological Modelling
By:  and 

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Abstract

Understanding recruitment dynamics is an essential part of effective fisheries management, whether the focus is on conservation, harvest policy development, or invasive species control. We developed a model that estimates lake-wide Ricker stock-recruitment relations for invasive sea lampreys (Petromyzon marinus) in each of the five Laurentian Great Lakes to inform future control efforts. We fit adult-to-adult models, taking advantage of a long time series of lake-wide, adult, sea lamprey abundance estimates. We incorporated proportional contributions at age for the stock as well as additional explanatory variables sea lamprey weight, as a surrogate for fecundity, and lampricide quantity applied, as a surrogate for anthropogenic mortality, to explain residual recruitment variability. The best model incorporated equal cohort contributions from the adult stock (that matured 5, 6, and 7 years prior to recruitment), a single productivity parameter (α) common to all five lakes, lake-specific carrying capacity parameters (βj), and coefficients for sea lamprey weight and lampricide quantity applied. The precision of the estimated Ricker parameters compared favorably to those estimated by adult-to-larva models, a promising development in the pursuit of sea lamprey recruitment prediction. The model should be useful to fisheries managers in the Great Lakes wishing to consider various recruitment overfishing strategies in the control of invasive sea lampreys, reaffirming that even models built on a single life stage can inform our understanding of ecological interactions and explorative management scenarios.

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Publication type Article
Publication Subtype Journal Article
Title Estimation of lake-scale stock-recruitment models for Great Lakes sea lampreys
Series title Ecological Modelling
DOI 10.1016/j.ecolmodel.2022.109916
Volume 467
Year Published 2022
Language English
Publisher Elsevier
Contributing office(s) Great Lakes Science Center
Description 109916, 10 p.
Country Canada, United States
Other Geospatial Great Lakes
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