Data Package Metadata   View Summary

Soil electrical conductivity measurements across the city of Madison, WI, 2015 and 2018

General Information
Data Package:
Local Identifier:edi.377.1
Title:Soil electrical conductivity measurements across the city of Madison, WI, 2015 and 2018
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This data was used to investigate the degree to which soils may act as reservoirs for road salt across a gradient of urban land covers in Madison, WI. Soil samples from a range of land cover classes were collected during the summer of 2015 within the city limits of Madison, WI (Ziter and Turner 2018). Twenty sites were selected from each of five land cover classes: urban forest, urban grassland, open space, low-density, medium-density. These land cover types encompass areas such as city parks (open space), residential backyards, highway roadsides, and prairies. In 2018, 20 road-terrace sites were sampled. Sites were distributed throughout the city and chosen based on accessibility to terraces along major roads. We found that soils near roads and in more developed areas tended to have both higher mean EC and greater variability within and between sites. These trends may be better understood by investigating characteristics unique to each land use type, including salt application regime, soil type, and land management scale.

Shannon, T, S Ahler, A Mathers, C Ziter, and H Dugan. (In Press). Road salt impact on soil electrical conductivity across an urban landscape. Journal of Urban Ecology.

Publication Date:2020-02-05

Time Period
Begin:
2015-01-01
End:
2018-12-31

People and Organizations
Contact:Dugan, Hilary (University of Wisconsin-Madison) [  email ]
Creator:Dugan, Hilary (University of Wisconsin-Madison)
Creator:Shannon, Thomas (University of Wisconsin-Madison)
Creator:Ziter, Carly (Concordia University)

Data Entities
Data Table Name:
soilEC.csv
Description:
Soil electrical conductivity and other soil parameters
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-d.lternet.edu/package/data/eml/edi/377/1/e642d4ba1812200a1e56e2b3ff26445d
Name:soilEC.csv
Description:Soil electrical conductivity and other soil parameters
Number of Records:482
Number of Columns:14

Table Structure
Object Name:soilEC.csv
Size:57486 bytes
Authentication:7b396387de826756ee755074810c4dfe Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:SiteID  
LandCover  
LandCoverClass  
EC_uS_cm  
BulkDensity_g_cm3  
Sand_percent  
Silt_percent  
Clay_percent  
Texture  
SatCond_mm_hr  
Carbon_percent  
DistanceToImperviousSurface_m  
Latitude  
Longitude  
Definition:Site IDLand cover class abbreviationLand cover classSoil electrical conductivity of soil slurry solutionSoil bulk density (g/cm3) measured empiricallySoil percent sand measured using the hydrometer methodSoil percent silt measured using the hydrometer methodSoil percent clay measured using the hydrometer methodSoil texture assigned according to the USDA major textural classesSoil saturated hydraulic conductivity (mm/hr)Percent CarbonDistance from each sampling plot to the nearest impervious surfaceLatitude of sampling siteLongitude of sampling site
Storage Type:string  
string  
string  
float  
float  
float  
float  
float  
string  
float  
float  
float  
float  
float  
Measurement Type:nominalnominalnominalratioratioratioratiorationominalratioratioratioratioratio
Measurement Values Domain:
DefinitionSite ID
DefinitionLand cover class abbreviation
DefinitionLand cover class
UnitmicroSiemenPerCentimeter
Typereal
Min3.42 
Max1159 
UnitgramsPerCubicCentimeter
Typereal
Min0.55 
Max1.73 
Unitdimensionless
Typereal
Min15.77 
Max89.9 
Unitdimensionless
Typereal
Min6.06 
Max73.44 
Unitdimensionless
Typereal
Min
Max24.14 
DefinitionSoil texture assigned according to the USDA major textural classes
UnitmillimetersPerHour
Typereal
Min4.04 
Max185.17 
Unitdimensionless
Typereal
Min1.24 
Max11.08 
Unitmeter
Typereal
Min
Max596.72 
Unitdegree
Typereal
Min-89.55 
Max-89.26 
Unitdegree
Typereal
Min43.02 
Max43.15 
Missing Value Code:      
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
CodeNA
Explnot available
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)Road salt, urban ecology, EC, Madison WI
LTER Controlled Vocabularysoil, electrical conductivity, bulk density

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:

Soil samples from a range of land cover classes were collected during the summer of 2015 within the city limits of Madison, WI (Ziter and Turner 2018). Twenty sites were selected from each of five land cover classes: urban forest, urban grassland, open space, low-density, medium-density (represented as F, G, O, L, and M, respectively, Fig. 1). These land cover types encompass areas such as city parks (open space), residential backyards, highway roadsides, and prairies. Site selection and soil characteristics are described in Ziter and Turner (2018). In Dane County, soils are mainly sandy-loam glacial till, and in Madison, soils are predominantly Alfisols, with some Mollisols being found in forest and oak–savanna vegetation and wet sedge meadows (Bockheim and Hartemink 2017). In 2016, 20 road-terrace sites were sampled (represented as R). Sites were distributed throughout the city and chosen based on accessibility to terraces along major roads.

For all land types except road terraces, samples were collected from within a 30 m x 30 m area in each of the five land types. At each site, four separate 5m x 5m plots were developed in each quadrant, from which samples were taken. Four samples in total were taken at each 30 m x 30 m site (n = 400, 100 sites x 4 plots). At road terrace sites, samples were taken along a 40m transect at four 15 m intervals. Transects ran parallel to the road within 3 feet of the curb, or at the center of the road median. Soil from one forest plot was not measured for EC, and therefore total measured samples equal 379. In both sampling years, soil samples were taken as a 10 cm deep soil core.

Samples were air dried for 24-72 hours, then put in a drying oven for 24 hours at 60 degC. Once dry, samples were sieved with a 200 µm mesh filter to remove gravel and other large non-soil particles. If large solidified clumps had formed during the drying process, they were broken up and re-sieved. A homogenized 5-gram sub-sample was then taken from each replicate. To each sub-sample, 10 mL of deionized water was added in a 30 mL HDPE plastic vial. The mixture was allowed to saturate for at least 15 minutes, with frequent re-suspension of the settled solids. Electrical conductivity (EC) of the mixture was then measured with a Thermo Scientific Orion Star A222 portable conductivity meter. A 1-point calibration was applied at the beginning of each day using a 500 µS/cm standard. Bulk densities and hydraulic conductivities for F, G, O, L, and M sites were obtained from Ziter and Turner (2018), but were not measured for road-terrace sites (https://datadryad.org/resource/doi:10.5061/dryad.5pr17).

High-resolution impervious surface layers were not available for the city of Madison, Wisconsin. To calculate the likelihood of a soil being impacted by road salts, we manually digitized impervious surfaces (roads, sidewalks, driveways, and parking lots) near sampling sites using a high-resolution Google Earth image overlain with city GIS data to ensure correct georectification. We then calculated the distance from each sampling plot to the nearest impervious surface using the sf package in R (Pebesma 2018). Given the error associated with GPS locations, any distance less than 1 m was set equal to 1 m.

Bockheim, J. G., and A. E. Hartemink. 2017. Current and Future Soil Research. Pages 223–228. Springer, Cham.

Ziter, C., and M. Turner. 2018. Current and historical land use influence soil-based ecosystem services in an urban landscape. Ecological Applications 28:643–654.

Description:

This method step describes provenance-based metadata

This provenance metadata does not contain entity specific information.

Data Source
Data from: Current and historical land use influence soil-based ecosystem services in an urban landscape

People and Organizations

Creators:
Individual: Hilary Dugan
Organization:University of Wisconsin-Madison
Email Address:
hdugan@wisc.edu
Id:https://orcid.org/0000-0003-4674-1149
Individual: Thomas Shannon
Organization:University of Wisconsin-Madison
Email Address:
tshan018@fiu.edu
Individual: Carly Ziter
Organization:Concordia University
Email Address:
carly.ziter@concordia.ca
Id:https://orcid.org/0000-0002-3731-9678
Contacts:
Individual: Hilary Dugan
Organization:University of Wisconsin-Madison
Email Address:
hdugan@wisc.edu
Id:https://orcid.org/0000-0003-4674-1149

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2015-01-01
End:
2018-12-31
Geographic Region:
Description:Madison, Wisconsin, USA
Bounding Coordinates:
Northern:  43.15226Southern:  43.02255
Western:  -89.55248Eastern:  -89.26

Project

Maintenance

Maintenance:
Description:Completed
Frequency:
Other Metadata

Additional Metadata

additionalMetadata
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        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microSiemenPerCentimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = ''
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        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = 'conductivity'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'conductivity of water'
        |     |     |     |___text '\n        '
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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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