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Heather Dawson
PhD Candidate Lakes sea lamprey populations |
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I received my Bachelor's degree in biology
at
There were three components to this study.
The first involved gaining information on sea lamprey recruitment dynamics in
contrasting streams in the
Sea lamprey gained access to the Great Lakes in
the 1920s and were instrumental in the collapse of lake trout fisheries in
Lakes Superior, Huron, and
been found. Because of a wish to reduce reliance on chemicals, alternative
methods of control such as the use of pheromones, adult trapping, barriers to
block spawning migrations, and the release of sterile males are also being
applied and evaluated. TFM removes lamprey recruits, while alternative methods
of control are aimed at reducing the number of adult spawners before
recruitment occurs. Alternative control strategies depend on the reduction of
spawning stock resulting in concomitant reductions in recruitment. Having a
better understanding of the sea lamprey stock-recruitment relationship is
necessary to determine the efficacy of sea lamprey control through alternative
control methods, and incorporating the natural variation found in recruitment
into management models will make them more realistic than they are at present.
To gain a better understanding of sea lamprey
population dynamics, we measured recruitment at age 1 in contrasting streams by
introducing a known number of spawners in barricaded-off sections of streams. Each
fall we conducted standardized surveys to estimate larval abundance and
recruitment. Sea
lamprey stock-recruitment data combined from streams across the

Figure 1. Observed sea lamprey stock and recruitment data for 90 stream-years.
We tested factors that may
significantly affect recruitment, such that different streams might require
different alternative control spawner target abundances to ensure low levels of
recruitment. Streams described by sea lamprey program staff as having a regular
and predictable cycle of lampricide treatment experienced significantly higher
recruitment than less predictable (irregular) streams. Lakes
We incorporated density-independent recruitment
variation found from this study, larval assessment uncertainty, and other sea
lamprey demographic information into a management model to facilitate a
realistic comparison of the effectiveness of different sea lamprey control
strategies. The model was a stochastic age-structured population model (MUSTR)
that simulated the existing control program for

Figure 2. The median number of spawners produced versus
the cumulative cost of alternative control when using alternative control costs
and spawner reductions achieved by alternative control of a) $39500 + $0.06 ∙
larval habitat area and 88% (our best estimates of alternative control costs
and efficacy); b) $39500 + $0.03 ∙ larval habitat area and 94%; and c) $39500 +
$0.04 ∙ larval habitat area and 96%. The
horizontal line in each graph represents the median number of spawners
resulting from the application of only lampricide control. Points below the line represent strategies
that result in better performance than lampricide control alone. The number
above each point represents the number of streams treated by alternative
control; one to ten of the largest streams received alternative control, added
in order of decreasing size.
Because estimating the recruitment
of sea lamprey involves assessing the larval population in streams and
separating the population into age classes, the accuracy of these estimates can
be limited by errors in larval age determination. Developing a standard method
of age-assessment using both statolith and length-frequency data requires the
validation and improvement of both methods of age interpretation. Therefore, we
established known-age populations in two contrasting streams by introducing a
single cohort of sea lamprey and then compared the age determined by statolith
interpretation to the known age using two different methods for statolith
preparation and evaluation. Multiple
independent age readings of sea lamprey statoliths indicated that the overall
average percent error indicated a higher bias in age estimates using the Crystal
Bond method as opposed to the Immersion Oil method. The statolith data were
bias-corrected and combined with length-frequency data in the statistical model
to determine proportion-at-age in our “known-age” sea lamprey populations, which
resulted in a substantial increase in the precision of this estimate (Table 1).
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Table 1. The true proportion-at-age and proportions-at-age estimated by the model for the two “known-age” streams from information only on length, and when using both bias-corrected age and length. |
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Age Class |
True |
Estimated by length only |
Estimated by using bias-corrected age and length |
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Big |
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1 |
0.145 |
0.129 |
0.143 |
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2 |
0.393 |
0.420 |
0.402 |
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3 |
0.282 |
0.031 |
0.283 |
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4 |
0.180 |
0.420 |
0.172 |
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Ogemaw Creek |
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1 |
0.349 |
0.328 |
0.328 |
|
2 |
0.375 |
0.356 |
0.357 |
|
3 |
0.276 |
0.316 |
0.315 |
This project, funded by the Great Lakes
Fishery Commission, and in collaboration with U.S. Fish and Wildlife Service
and the Canadian Department of Fisheries and Oceans has produced insight into
the population dynamics of sea lamprey. To better understand recruitment and
growth dynamics of sea lamprey gets us further ahead in the struggle to manage
this species and thus, protect many of our
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