Mixed stock analysis of genetic compositions of lake sturgeon (Acipenser fulvescens) mixtures in Lake Michigan: hierarchical spatial heterogeneity and evidence of improving recruitment in Wisconsin spawning populations
Publication: Canadian Journal of Fisheries and Aquatic Sciences
28 September 2021
Abstract
Information regarding site occupancy of fish that migrate long distances during nonspawning periods together with estimates of recruitment trends for individual populations can be informative for management, especially when individuals from different spawning populations intermix and are sampled or harvested together. Tendencies for individuals from different populations to preferentially occupy specific regions increases vulnerability to anthropogenic and natural disturbances. Using mixed stock analysis (MSA), we estimated population-specific occupancy of lake sturgeon (Acipenser fulvescens) in open-water and nearshore regions of Lake Michigan across a hierarchy of spatial scales. Open-water mixture composition differed between Lake Michigan’s eastern and western basins. Significant heterogeneity in habitat occupancy was also observed at microgeographic scales throughout open-water regions of Green Bay, indicating nonrandom occupancy to regions proximal to natal streams. Estimates of relative recruitment levels determined from MSA extensions indicated increasing recruitment trends for spawning populations associated with Wisconsin tributaries (Oconto–Peshtigo, Fox, and Menominee rivers). Our lake sturgeon results demonstrate the utility of genetic data for informing management efforts for spatially structured, highly migratory species. Similar analyses could prove beneficial for species with similar characteristics.
Résumé
De l’information sur l’occupation de sites par des poissons migrant sur de longues distances en dehors des saisons de frai, combinée à des estimations des tendances de recrutement pour différentes populations, peut être utile pour la gestion, particulièrement dans les cas où des individus de différentes populations reproductrices se mélangent et sont échantillonnés ou pêchés ensemble. La tendance d’individus de différentes populations d’occuper préférentiellement des régions précises rehausse leur vulnérabilité à des perturbations d’origine humaine ou naturelle. Nous avons utilisé l’analyse de stocks mélangés (ASM) pour estimer l’occupation selon la population d’esturgeons jaunes (Acipenser fulvescens) dans des secteurs côtiers et d’eaux libres du lac Michigan à différentes échelles spatiales. La composition du mélange en eaux libres n’était pas la même pour les bassins est et ouest du lac Michigan. Une hétérogénéité significative de l’occupation d’habitats est également relevée à des échelles microgéographiques dans tous les secteurs d’eaux libres de la baie Green, témoignant d’une occupation non aléatoire des secteurs situés près de cours d’eau natals. L’estimation des niveaux de recrutement relatifs à l’aide d’extensions de l’ASM révèle des tendances d’augmentation du recrutement pour des populations reproductrices associées à des affluents au Wisconsin (rivières Oconto–Peshtigo, Fox et Menominee). Nos résultats concernant les esturgeons jaunes démontrent l’utilité de données génétiques pour les efforts de gestion visant des espèces hautement migratrices structurées dans l’espace. Des analyses semblables pourraient s’avérer utiles pour d’autres espèces aux caractéristiques semblables. [Traduit par la Rédaction]
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Canadian Journal of Fisheries and Aquatic Sciences
Volume 79 • Number 4 • April 2022
Pages: 652 - 669
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Received: 8 January 2021
Accepted: 10 September 2021
Published online: 28 September 2021
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Kim T. Scribner, Travis O. Brenden, Robert Elliott, Michael Donofrio, Kristin Bott, Jeannette Kanefsy, Jared J. Homola, Iyob Tsehaye, James R. Bence, Edward Baker, and Nancy Auer. 2021. Mixed stock analysis of genetic compositions of lake sturgeon (Acipenser fulvescens) mixtures in Lake Michigan: hierarchical spatial heterogeneity and evidence of improving recruitment in Wisconsin spawning populations. Canadian Journal of Fisheries and Aquatic Sciences.
79(4): 652-669. https://doi.org/10.1139/cjfas-2021-0006
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