Data Package Metadata   View Summary

Lake Mendota, Wisconsin, USA, Zebra Mussel Density and Biomass 2016-2018

General Information
Data Package:
Local Identifier:knb-lter-ntl.393.1
Title:Lake Mendota, Wisconsin, USA, Zebra Mussel Density and Biomass 2016-2018
Alternate Identifier:DOI PLACE HOLDER
Abstract:

We sampled adult zebra mussels (Dreissena polymorpha) in the benthos of Lake Mendota from 2016-2018 to track the growth of the population following its initial detection in fall 2015. We sampled along three transects inherited from Karatayev et al. (2013) at five different depths (1, 3, 5, 8, and 10 m) twice a summer (June and August) from 2016-2018. Because suitable zebra mussel substrate was limited at these sites, we also selected five 1 m depth, rocky sites (optimal zebra mussel sites) to track density and biomass where colonization was most intense. A pared-down version of this routine sampling continued from 2019 onward but is not included here. This dataset complements zoobenthos and phytobenthos data collected according to the same routine sampling structure, as well as larval zebra mussel (veliger) sampling for which data is also archived with EDI. Biomass data are modeled from lengths of up to 100 individuals that were measured in each sample. Those lengths were fed into Lake Mendota-specific length-to-weight power law equations parameterized by body size measurements (length, width, live weight, wet weight, dry weight, shell weight, shell-free weight, and ash-free dry weight) of 99 mussels collected at different sites across Lake Mendota in 2018.

Publication Date:2020-07-28

Time Period
Begin:
2016-06-01
End:
2018-08-31

People and Organizations
Contact:Vander Zanden, Jake (Center for Limnology, University of Wisconsin-Madison) [  email ]
Creator:Spear, Michael J (Center for Limnology, University of Wisconsin-Madison)
Creator:Vander Zanden, Jake (Center for Limnology, University of Wisconsin-Madison)
Associate:Shannon, Thomas (Center for Limnology, University of Wisconsin-Madison, Field Crew)
Associate:Norris, Ella (Center for Limnology, University of Wisconsin-Madison, Field Crew)
Associate:McKittrick, Dane (Center for Limnology, University of Wisconsin-Madison, Field Crew)
Associate:Zamora, Adeline (Center for Limnology, University of Wisconsin-Madison, Field Crew)
Associate:Schiereck, Samantha (Center for Limnology, University of Wisconsin-Madison, Field Crew)
Associate:Smith, Colin (Center for Limnology, University of Wisconsin-Madison, Field Crew)
Associate:Wakker, Petra (Center for Limnology, University of Wisconsin-Madison, Field Crew)

Data Entities
Data Table Name:
zebramusseldensity_EDI.csv
Description:
Zebra mussel density and biomass at each sampling
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ntl/393/1/0c5ab353b07b41253740ab3126350892
Name:zebramusseldensity_EDI.csv
Description:Zebra mussel density and biomass at each sampling
Number of Records:364
Number of Columns:17

Table Structure
Object Name:zebramusseldensity_EDI.csv
Size:26271 bytes
Authentication:c3f6cd674dfac9e4a1be4181e807b7b6 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:date  
transect  
depth  
replicate  
subsample_count  
subsample_units  
totalsample_units  
totalsample_count  
area  
density_m2  
lw_m2  
ww_m2  
dw_m2  
sw_m2  
sfdw_m2  
afdw_m2  
modeled_from_count  
Definition:Date sample was collectedTransect on Lake Mendota from which sample was collected.Depth at which sample was collectedSamples were collected in triplicate at each transect x depth during each month x year.Number of individuals counted in the subsampleNumber of units (squares on a gridded surface) containing the individuals of the subsampleNumber of units (squares on a gridded surface) containing the individuals of the total sampleNumber of individuals in the total sample, generated from the subsample_count, subsample_units, and totalsample_units columnsSurface area of the benthos from which the sample was collectedDensity of adult zebra musselsLiving weight density of zebra musselsWet weight density of zebra musselsDry weight density of zebra musselsShell weight (shell only) density of zebra musselsShell-free (tissue only) dry weight density of zebra musselsAsh-free (shell and tissue) dry weight density of zebra musselsNumber of individuals in the sample that were actually measured for length. All other mussels in the sample had their biomass metrics modeled from this count. All biomass values were modeled from these measured and modeled lengths
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Measurement Type:dateTimenominalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD
Precision
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DefinitionCenter for Limnology
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Accuracy Report:                                  
Accuracy Assessment:                                  
Coverage:                                  
Methods:                                  

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data (\"Data User\" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available \"as is.\" The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
(No thesaurus)Benthos, Zebra mussels, Invasive species, Density, Biomass, NTL-LTER, Lake Mendota, North Temperate Lakes LTER

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

We sampled adult zebra mussels twice a summer (early June and late August) from 2016-2018 at five depths (1, 3, 5, 8, and 10m) along each of three transects running perpendicular to shore (A-C). Dominant substrates at transect A were rock at 1 m depth, sand at 3 and 5 m, and muck at 8 and 10 m. At transects B and C, sand was the dominant substrate at 1 and 3 m depth and muck was dominant at 5, 8, and 10m. Significant macrophyte growth was generally absent at all sites in June and occurred mostly at 1, 3, and 5 m sites only at transects A and C. Because most sites lacked hard substrate (rocks, logs, etc.) suitable for zebra mussel colonization, we also sampled five additional rocky 1m depth sites to represent prime zebra mussel habitat.

Using SCUBA, we removed all adult mussels from triplicate quadrats at each site, placing mussels in resealable plastic bags and processing them int the laboratory for counts, lengths, and widths. Quadrat sizes varied by sampling site and year from 1 m2 to 0.0625 m2 because sampling with large quadrats became infeasible as zebra mussel densities grew, but we standardized all sample counts to an abundance measure of individuals m-2. For samples containing more than 100 mussels, we subsampled in the laboratory by spreading mussels evenly across a gridded surface and counting and measuring individuals until enough grid cells were processed to reach 100 individuals. We then standardized that count by the total number of grid cells used for subsampling to estimate total number of mussels in the sample. We assigned modeled lengths and widths to the unmeasured individuals by randomly selecting measurements from that sample's pool of 100+ measured individuals with replacement. We modeled biomass (g, wet weight) for each individual based on lake-specific length-to-weight biometric conversion factors developed from 99 individuals of a range of sizes collected from Lake Mendota in 2018. We recorded mean zebra mussel abundance density (# m-2) and several versions of biomass estimates (g m-2) on the lake bottom at each site.

Though all metrics of estimate biomass were modeled, the methods for measuring these metrics on the individuals for which the length-to-weight biometric conversion factors were generated are as follows. Body size directional measurements of shell length and width were recorded for every specimen with the aid of callipers (0.01 mm). Following this, any excess water was removed from surfaces by drying the external shell with tissue paper. Further, using a scalpel blade and tweezers, excess water was removed from the mantle cavity by gently forcing bivalves to gape, taking care not to cut the adductor muscle or damage tissues. Using high-resolution scales, living-weight (lw) was obtained for each specimen. Then each specimen was fully opened, which in most cases involved cutting of the adductor muscles. To remove additional fluid from the mantle and other cavities, each specimen was then placed with the valve gape (flesh) facing downwards onto absorbent tissue, for ~5-10 minutes. A wet-weight (ww) was obtained for each specimen. Following this, the soft tissue was dissected from the shell, then both soft tissue and shell were dried together within an oven (60-72 degreeC) for ~48 hrs, or until they reached a constant weight. Specimens were cooled to room temperature in a desiccator before final weighing. A combined dry-weight (dw) was recorded, as were weights for the soft tissue and shell separately, i.e. shell free dry-weight (sfdw) and dry shell-weight (sw), respectively. To obtain an ash-free dry weight (afdw) the soft and hard tissue structures of specimens were incinerated (500–550 degreeC) together within a muffle furnace for 4–6 hrs. Afdw was then calculated for the entire specimen (soft tissue and shell) by subtracting the post-incineration weight from dw. Length-to-weight conversion factors for each biomass metric were created by estimating non-linear regression parameters for power law equations, i.e. biomass metric = a x lengthb.

People and Organizations

Creators:
Individual: Michael J Spear
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
mspear2@wisc.edu
Id:https://orcid.org/0000-0002-1365-3583
Individual: Jake Vander Zanden
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
mjvanderzand@wisc.edu
Id:https://orcid.org/0000-0002-8122-1416
Contacts:
Individual: Jake Vander Zanden
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
mjvanderzand@wisc.edu
Id:https://orcid.org/0000-0002-8122-1416
Associated Parties:
Individual: Thomas Shannon
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
tshan018@fiu.edu
Role:Field Crew
Individual: Ella Norris
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
enorris2@wisc.edu
Role:Field Crew
Individual: Dane McKittrick
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
dmckittrick@wisc.edu
Role:Field Crew
Individual: Adeline Zamora
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
azamora2@wisc.edu
Role:Field Crew
Individual: Samantha Schiereck
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
sschiereck@wisc.edu
Role:Field Crew
Individual: Colin Smith
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
csmith.tar@gmail.com
Role:Field Crew
Individual: Petra Wakker
Organization:Center for Limnology, University of Wisconsin-Madison
Email Address:
wakker@wisc.edu
Role:Field Crew

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2016-06-01
End:
2018-08-31
Geographic Region:
Description:Lake Mendota, Madison, WI, USA
Bounding Coordinates:
Northern:  43.148805Southern:  43.075119
Western:  -89.486789Eastern:  -89.36654
Taxonomic Range:
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Lophozoa
Classification:
Rank Name:phylum
Rank Value:Mollusca
Classification:
Rank Name:class
Rank Value:Bivalvia
Classification:
Rank Name:subclass
Rank Value:Heterodonta
Classification:
Rank Name:order
Rank Value:Veneroida
Classification:
Rank Name:superfamily
Rank Value:Dreissenoidea
Classification:
Rank Name:family
Rank Value:Dreissenidae
Classification:
Rank Name:genus
Rank Value:Dreissena
Classification:
Rank Name:species
Rank Value:Dreissena polymorpha

Project

Parent Project Information:

Title:The zebra mussel invasion of Lake Mendota: New insights into invasive species eruptions and impact
Personnel:
Individual: Jake Vander Zanden
Email Address:
mjvanderzand@wisc.edu
Id:https://orcid.org/0000-0002-8122-1416
Role:Principal Investigator
Funding: Wisconsin Department of Natural Resources AIRD11318
Related Project:
Title:North Temperate Lakes – Long Term Ecological Research program
Personnel:
Individual: Emily Stanley
Email Address:
ehstanley@wisc.edu
Id:https://orcid.org/0000-0003-4922-8121
Role:Principal Investigator
Funding: National Science Foundation DEB?1440297

Maintenance

Maintenance:
Description:completed
Frequency:
Other Metadata

Additional Metadata

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EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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