Data and R code to support: Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
2017-07-01
2017-10-01
2017-10-01
Date completed
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Data and R code to support: Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling
Published Date
2019-01-18
Author Contact
Ferguson, Jake M
jakeferg@umn.edu
jakeferg@umn.edu
Type
Dataset
Field Study Data
Observational Data
Spatial Data
Statistical Computing Software Code
Field Study Data
Observational Data
Spatial Data
Statistical Computing Software Code
Abstract
These files are the data and code needed to reproduce the analysis of the manuscript "Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling". The data include spatial coordinates of transects used to survey for zebra mussels in Lake Sylvia and Lake Burgan in the summer of 2017, the counts of zebra mussels on each transect, and environmental covariates collected along transects and at each detection. We also provide the R code needed to process and analyze these data following the distance survey approach described in the manuscript. We provide code for a straightforward distance survey, which doesn't include any spatial covariate information, as well as a more computationally intensive analysis that does include spatial covariates.
Description
Referenced by
Using distance sampling to estimate densities of Zebra Mussels (Dreissena polymorpha) in early-stage invasions. Freshwater Science
https://doi.org/10.1086/706105
https://doi.org/10.1086/706105
Related to
Replaces
item.page.isreplacedby
Publisher
Funding information
Minnesota Environmental and Natural Resources Trust Fund, Minnesota Agricultural Experimental Station, McKnight Foundation
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Other identifiers
Suggested citation
Ferguson, Jake M; Fieberg, John R; McCartney, Michael A.; Blinick, Naomi S.; Schroeder, Leslie. (2019). Data and R code to support: Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/d6hc-bw36.
View/Download File
File View/Open
Description
Size
TransectData_DATA_2017-10-23_1150.csv
Transect data
(12.97 KB)
Transect Data_Meta.pdf
Metainformation for transect data
(72.63 KB)
HabitatCharacterizat_DATA_2017-10-12_0821.csv
Habitat data
(10.94 KB)
Habitat Characterization_Meta.pdf
Metainformation for habitat dataset
(71.63 KB)
ZebraMusselEncouter_DATA_2017-10-12_0823.csv
Encounter data
(9.31 KB)
Zebra Mussel Encounter_Meta.pdf
Metainformation for zebra mussel encounters
(72.5 KB)
Final_DensityCode_Vanilla.R
Estimation of zebra mussel density using simple density analysis
(6.15 KB)
ZebraFuncs_Vanilla.R
Helper functions for simple density estimation
(32.25 KB)
Final_DensityCode.R
R code to perform covariate-modified density analysis
(16.73 KB)
ZebraFuncs.R
Helper functions for covariate modified density analysis
(48.1 KB)
Readme.txt
Read me file
(11.51 KB)
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.