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Quantifying abundance and recruitment in a re-establishing lake trout population by close-kin mark-recapture

Effective fisheries management and restoration requires reliable estimates of abundance and population trajectories through time. However, absolute population estimates are extremely difficult to obtain in large systems due to the prohibitively high sample sizes required by most approaches. Close-kin mark-recapture (CKMR) is a new technique that can obviate this hurdle by using the observed kinship within a sample to estimate the true adult population. Our project aimed to develop a CKMR model for lake trout (Salvelinus namaycush) and apply it understand the re-establishment of Lake Champlain’s wild population by estimating the abundance of individuals contributing to wild recruitment. We used a multi-year tissue dataset, in combination with a recently-designed genotyping panel and close-kin mark-recapture, to quantify the performance (i. e., survival and reproductive success) of stocking sources and strategies with an eye towards informing restoration programs in other systems. We also assessed the overall abundance of adult fish and parental dynamics associated with wild recruitment. Our results indicate that adult survival is remarkably high and overall abundance is low compared to other large lake systems in similar latitudes, with the vast majority of wild recruitment genetically traceable to the Seneca strain fish historically stocked by New York State. We observed little evidence of hybridization between the two strains and close-kin mark-recapture estimates indicated that approximately 20 % of the adult population was contributing to successful recruitment on a regular basis. Ultimately, our results point to a growing wild population that has the potential to become self-sustaining.\\\\r\\\\n

Status
Ongoing

GLFC ID
2022_MAR_441026

Research Program
Fishery Research Program

Research Theme
Native Fish

Start Date
2022

End Date
2024

PI Name
Marsden, Ellen

PI Email
Ellen.Marsden@uvm.edu

PI Institution
University of Vermont

Project Keywords



Project Datasets

High resolution microsatellite genotypes for Lake Champlain Lake trout

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These data consist of high-resolution microsatellite genotypes (131 loci, see Marcy-Quay et al. in review for marker and protocol information) for 1500 lake trout (S. namaycush) captured in Lake Champlain from 2015-2022. Each row represents an individual fish, with a unique ID code that related to other Lake Champlain datasets. Each locus is represented by a column, with a diploid genotype provided in the format “[haplotype #1] | [haplotype #2]”. Missing values are represented as NAs.

Dataset Format
.csv

Waterbody
Lake Champlain

Variables
Fish_ID, Locus_1, Locus_2, Locus_3,…

Dataset Keywords

Survey data and individual fish metrics for Lake Champlain Lake trout

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This dataset contains survey information (date, location, gear type, etc.) and individual metrics (length, weight, age, sex, etc.) for 1500 lake trout (S. namaycush) captured in Lake Champlain from 2015-2022. Each row represents an individual fish, with a unique ID code that related to other Lake Champlain datasets. Metrics are represented by individual columns. Missing values are represented as NAs.

Dataset Format
.csv

Waterbody
Lake Champlain

Variables
Survey_ID, Date, Gear, Fish_ID, TL_mm, Weight_g, Final_Age, etc.

Dataset Keywords



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