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Person

James A Luoma

Fish Biologist

Upper Midwest Environmental Sciences Center

Email: jluoma@usgs.gov
Office Phone: 608-781-6391
Fax: 608-783-6066
ORCID: 0000-0003-3556-0190

Location
2630 Fanta Reed Road
La Crosse , WI 54603
US

Supervisor: Jon J Amberg
Three SAS code files were used to analyze data for this study and they included: 1) code to compare the weight of fish distributed to the tanks, 2) code to compare the survival of fish by treatment groups, and 3) code to analyze the weight and condition of fish at exposure termination.
We applied Zequanox using a custom-engineered, boat mounted application system to replicated 0.30 Hectare plots within a small inland lake. The objectives of these applications were to determine if uncontained, open-water Zequanox applications could effectively control zebra mussel populations and protect native unionid mussel populations within zebra mussel infested systems. The datasets included are as follows: Exposure Water Chemistry Hardness and Alkalinity Native Mussel Sonde Water Chemistry Zebra Mussel Density Zebra Mussel Length Zebra Mussel Mortality Zequanox Concentration ShapeFiles: PLOTS, UNIONID, ZEQUANOX CONCENTRATION, ZM_DENSITY, ZM_MORTALITY
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There is an immediate need for effective and safe tools to prevent the spread of planktonic larval dreissenids (quagga Dreissena rostriformis bugensis and zebra mussels D. polymorpha) and to rehabilitate and protect native unionid habitats by controlling existing dreissenid mussel populations in and around the Great Lakes. More than half of the 78 native unionid species in Minnesota, Wisconsin, Iowa, Missouri, Illinois, Indiana, and Ohio are listed as endangered, threatened, or of special concern. Although the US Fish and Wildlife Service (USFWS) considers zebra mussels to be an immediate threat to freshwater unionids in the Upper Mississippi River System, there is no effective tool to control established zebra...
Introduction The code includes separate logistic regression models for the positive control, negative control, and exposed conditions. The proportion of mortalities (number of dead zebra mussels compared to the total number of zebra mussels in the sample) in the containment bags were modeled with a binomial distribution and a logit link function. A scale parameter was added to the model using the random_residual_statement. Required data includes: test temperature voltage waveform (AC or PDC) mean voltag voltage gradient repetition number exposure duration treatment group total number of animals in the replicate number of mortalities in the replicate Outputs include: Means were calculated for: the percent dead, the...
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