**ABSTRACT
NOT FOR CITATION WITHOUT AUTHOR PERMISSION. The title, authors, and
abstract for this completion report are provided below. For a copy
of the full completion report, please contact the author via e-mail at sean_lewandoski@fws.gov. Questions? Contact the GLFC via email
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EFFECTS
OF ENVIRONMENTAL AND BIOLOGICAL FACTORS ON MIGRATORY SEA LAMPREY CATCHABILITY
AND ABUNDANCE ESTIMATION
2U.
S. Fish and Wildlife Service, Marquette Biological Station, 3090 Wright St.,
Marquette, MI 49855
3Fisheries and Oceans Canada, Sea Lamprey Control Centre, 1219 Queen
Street, East Sault Ste. Marie, ON P6A 2E5
4U. S. Geological Survey,
Great Lakes Science Center, Hammond Bay Biological Station, 11188 Ray Road,
Millersburg, MI 49759
February 2019
ABSTRACT:
Sea
lamprey population trends in the Great Lakes are tracked by trapping migratory
adults in tributaries and using mark and recapture
techniques to estimate abundance.
Understanding what environmental and biological factors influence sea
lamprey catchability is crucial to developing efficient trapping methods and
reliable abundance estimates. We
analyzed data from trapping sites located on 8 Great
Lakes tributaries and examined how water temperature, discharge, sex, and
length influenced sea lamprey apparent survival and capture probability. Sea lamprey apparent survival was negatively
associated with water temperature in all tributaries. Additionally, the odds of small sea lamprey
(≤45 cm) remaining available to capture were 39% (95% CI: 63% decrease –
1% increase) less than large (>45 cm) lamprey odds. These observed relationships were used to investigate if bias in abundance estimates
using the pooled-Petersen estimator and Jolly-Seber
models was expected to be similar across trapping locations or influenced by
variable environmental conditions and biological traits. Pooled-Petersen abundance estimates had a
positive bias when datasets were generated from
simulated populations with empirical relationships between environmental
characteristics and catchability. The
degree of bias depended upon changes in stream warming patterns and was not consistent
among trapping locations. Jolly-Seber models using data from either weekly-batch-marked or
uniquely-marked individuals generated abundance estimate with low bias when
data quality was high, but performed poorly in scenarios with few recaptured sea
lamprey.