Data for refining copper concentrations using the Biotic Ligand Model to maximize zebra mussel control while minimizing non-target effects

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2021-06-01
2022-09-01

Date completed

2023-10-10

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Data for refining copper concentrations using the Biotic Ligand Model to maximize zebra mussel control while minimizing non-target effects

Published Date

2023-10-12

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Dahlberg, Angelique D.
edge0023@umn.edu

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Field Study Data
Observational Data
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Abstract

Copper in various forms can be toxic to aquatic organisms at high concentrations and has been used as a pesticide in lake management since the early 1900s. Managers have recently extended this use to control aquatic invasive species, including zebra mussels (Dreissena polymorpha). Because copper toxicity changes with changing concentrations of water chemistry parameters (e.g., pH, temperature, and other cations such as Ca2+ and Mg2+), using the same copper concentration to target the same species in two different waterbodies could have different outcomes. However, past zebra mussel control projects have selected copper concentrations irrespective of water chemistry differences. We demonstrate, in a two-part study, how measuring water chemistry parameters and using the Biotic Ligand Model (BLM) can help predict a site-specific copper concentration that will kill zebra mussels while minimizing effects on non-target species. We first tested the application of the BLM for predicting the effects of a copper concentration on non-target species. We found that Daphnia magna (daphnia) had a 50% chance of survival at 9.50 µg Cu/L (i.e., the 50% lethal concentration, LC50), within our BLM-predicted range of 3.38-16.95 µg Cu/L LC50 values. Given the accuracy of our prediction, in the future, managers could make similar predictions and tailor copper concentrations to their management goals. Secondly, we measured zebra mussel larvae (veliger) mortality at added copper concentrations ranging from 0-191 µg Cu/L and assessed exposure–response using a logistic regression model that also included water chemistry parameters. This model can be applied to future projects; using it, managers can predict the amount of copper in a particular waterbody that will kill a predetermined proportion of zebra mussels and simultaneously predict what non-target effects to monitor or expect.

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See readme.txt file for details.

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Minnesota Environment and Natural Resources Trust Fund as recommended by the Minnesota Aquatic Invasive Species Research Center (MAISRC) and the Legislative-Citizen Commission on Minnesota Resources (LCCMR), and the State of Minnesota
Fletcher Family Foundation
Pelican Lakes Association of Crow Wing County
Bay Lake Improvement Association
U. S. Geological Survey, Ecological Missions Area, Biological Threats and Invasive Species Research Program

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Dahlberg, Angelique D.; Waller, Diane L.; Severson, Todd J.; Barbour, Matthew T.; Meulemans, Matthew; Wise, Jeremy K.; Bajcz, Alex W.; Jankowski, Mark; Phelps, Nicholas B. D.. (2023). Data for refining copper concentrations using the Biotic Ligand Model to maximize zebra mussel control while minimizing non-target effects. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/z2yx-dq24.

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Description
Size
nontarget_exp.accdb
Access database containing data from the non-target experiment
(4.6 MB)

veliger_exp.accdb
Access database containing data from the veliger experiment.
(1.39 MB)

Coding.Rproj
R project for coding for statistical analysis used in manuscript.
(218 B)

Coding.Rmd
R code (in markdown format) for statistical analysis used in manuscript.
(51.86 KB)

Coding.html
HTML knit version of all R coding used for statistical analysis used in manuscript.
(2.48 MB)

nontarget_lu_treatments.csv
CSV file containing a list of the treatment categories and associated copper concentrations.
(98 B)

nontarget_Tbl_Copper_ICP.csv
CSV file containing how much copper was added to each tank on which day.
(16.27 KB)

nontarget_Tbl_Fish.csv
CSV file listing how many of each fish species were in each copper exposure concentration.
(582 B)

nontarget_Tbl_Inverts.csv
CSV file listing how many of each invertebrate species were in each copper exposure concentration.
(329 B)

nontarget_Tbl_Mortality_Daphnia.csv
CSV file listing how many daphnia were alive and dead in each tank at each measurement point.
(3.06 KB)

nontarget_Tbl_Mortality_Fish.csv
CSV file listing how many of each fish species died on each day in each tank.
(35.82 KB)

nontarget_Tbl_Mortality_Invert.csv
CSV file listing how many zebra mussels, fatmuckets, and banded mystery snails died on each day measured in each tank.
(4.28 KB)

nontarget_Tbl_Source.csv
CSV file containing data on lake water chemistry from each day (both pre- and post-dose times).
(2.24 KB)

nontarget_Tbl_Tanks.csv
CSV file identifying which tank numbers belonged to which copper exposure treatment group.
(420 B)

nontarget_Tbl_WaterChemistry_Alkalinity&Hardness.csv
CSV file containing alkalinity and hardness measurements.
(1.93 KB)

nontarget_Tbl_WaterChemistry_Avgs.csv
CSV file containing mean water temperatures, DO values, pH values, specific conductance measurements, and total ammonia nitrogen concentrations for each treatment group.
(211 B)

nontarget_Tbl_WaterChemistry_Tanks.csv
CSV file containing water temperatures, DO values, pH values, and specific conductance measurements for each tank on each day of the experiment.
(27.48 KB)

nontarget_Tbl_WaterChemistry_TotalAmmoniaNitrogen.csv
CSV file containing total ammonia nitrogen measurements (pre- and post-flush) from each tank on each day of the experiment.
(3.82 KB)

veliger_tbl_cu.csv
CSV file containing copper concentrations from each jar throughout the experiment.
(4.67 KB)

veliger_tbl_jar.csv
CSV file containing information on jar treatment category, jar location, and jar exposure start and end times.
(1.8 KB)

veliger_tbl_lake.csv
CSV file containing information on jar source water (Lake Minnetonka).
(28 B)

veliger_tbl_lake_chem.csv
CSV file containing DOC, Ca, K, Mg, Na, Alkalinity, and Hardness data from Lake Minnetonka.
(2.25 KB)

veliger_tbl_nh4.csv
CSV file containing total ammonia nitrogen measurements from jars.
(1.29 KB)

veliger_tbl_tank.csv
CSV file containing comments on tank placement (tanks housed jars).
(555 B)

veliger_tbl_veliger_counts.csv
CSV file containing numbers of live and dead veligers from each jar.
(3.12 KB)

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