Data from: Invasion dynamics of pheretimoid earthworms across an urban-rural gradient in southern Wisconsin, USA
Data files
Oct 26, 2026 version files 63.98 KB
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Herrick.etal_2026_jumpingworm_urban_rural_Data.csv
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Herrick.etal_2026_landscape_variables.csv
20.61 KB
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Herrick.etal_2026_Weather_2016to2022.csv
4.12 KB
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README.md
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Abstract
Non-native, invasive earthworms are ecosystem engineers with consequences to native biodiversity and ecosystem processes. Invasive Lumbricidae earthworms are ubiquitous in North America and are well studied. However, pheretimoid earthworms of the genera Amynthas and Metaphire (commonly referred to as jumping worms) are leading a second wave of co-invasion throughout North America. Their association with organic amendments including compost, mulch and soil, suggest that these products are vehicles for the spread of jumping worms, especially in urban areas. However, little is known about their distribution, abundance, and biomass across urban landcovers over time, nor if their co-occurrence with European Lumbricidae earthworms in urban landcover changes. In addition, little is known about what factors predict the presence, density and biomass of jumping worms across urban and rural land covers. In 2022, we re-surveyed five urban landcover types (forest, restored native grassland, open space such as park turf grass, residential garden, residential lawn) in Madison, WI that had been surveyed in 2017. We also surveyed new sites in rural areas outside of Madison, encompassing the same land covers as well as forest/agriculture edges. Seven municipal yard waste sites that were approximately on the border of the urban-rural interface were also added in 2022. In 2022, jumping worms were found in all land cover types except grasslands, with residential lawns having the greatest increase. Jumping worms decreased marginally between years, with high variation in forests, residential gardens, and residential lawns. Similar to 2017, jumping worms and European earthworms rarely co-occurred regardless of urban land cover type. At rural sites, only 13 jumping worm individuals were counted in two forests and one residential garden, suggesting that they have not yet been introduced to most of these rural land cover types. Regardless of land cover type, jumping worms were more likely to be found at greater densities near paved roads and without juvenile Lumbricus. While jumping worm biomass varied among sites and land cover types, it was generally greater in urban forests relative to gardens and closer to residential areas without juvenile Lumbricus. Our results underscore the importance of long-term, local-scale monitoring of jumping worms to elucidate drivers of population dynamics for effective land management.
Dataset DOI: 10.5061/dryad.ht76hds09
Bradley M. Herrick
10/2026
THE ZIP PACKAGE ACCOMPANIES:
Herrick, B.M., Tanzer, D.N., and Drake, D. Invasion dynamics of pheretimoid earthworms across an urban-rural gradient in southern Wisconsin, USA. Ecosphere.
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CONTENTS
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All files are comma separated value files (.csv).
- Data containing field site information are in Herrick.etal_2026_jumpingworm_urban_rural_Data.csv
- Data containing landscape predictor variables are in Herrick.etal_2026_landscape_variables.csv
- Data containing precipitation and temperature records are in Herrick.etal_2026_Weather_2016to2022.csv
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Herrick.etal_2026_jumpingworm_urban_rural_Data.csv
Variable names and descriptions
Landcover: Land cover category. F=Forest, G=Grassland, O=Open Space Developed, Res_Garden=Residential Garden, Res_Lawn=Residential Lawn, AgEdge=Agricultural Field Edge, ForestEdge=Forest Edge, Municipal=Municipal
Site_ID: Unique ID for each site. Contains LC_ID and site numbers 1 through XX within each landcover
Type: U=Urban, R=Rural
x, y: GPS coordinates (Note: coordinates are removed for residential sites to preserve privacy)
Earthworm codes: (Columns F-AU) Along=Aporrectodea longa, Aporr=Aporrectodea, Oct=Octolasion, AA=Amynthas agrestis, AT=Amynthas tokioensis, MH=Metaphire hilgendorfi, JW=Jumping Worm, EuroEW=European Earthworm, Lrub=Lumbricus rubellus, Lter=Lumbricus terrestris, Ljuv=Lumbricus juvenile, Endo=Endogeic, Epi=Epigeic
Within-site earthworm data: (Columns F-AU) Den=Density (abundance calculated per m2), Bio=Biomass (ash-free dry mass (AFDM) per m2), Pr=Presence (1,0), Adun=Abundance (raw values per 26x26cm frame)
Year: (Columns F-AU) 17=2017, 22=2022
Soils data: SoilSig=Presence (1) or Absence (0) of unique granular jumping worm soil signature, MeanSoilM=insitu soil moisture % (mean of 3 readings per site; only in 2022)
NA: Not available (1. some sites were not sampled because we could not gain landowner permission; 2. municipal and rural sites were not sampled in 2017)
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Herrick.etal_2026_landscape_variabes.csv
Variable names and descriptions
Explanatory geographic variables were derived from Geographical Information Systems (GIS; ArcGIS Pro 3.0, ESRI 2022) using the NAD 1983 HARN Wisconsin Transverse Mercator (Meters) projection (ESRI 2022). Paved and gravel road data, including approximate road width, were derived from the Wisconsin Department of Transportation’s Wisconsin Information System for Local Roads (WISLR) for Dane County. Foot trails data were aggregated from Dane County Bicycle Map and park trails, Ice Age Trail, University of Wisconsin–Madison Lakeshore Nature Preserve (Preserve), and Arboretum trail data. The United States Forest Service (USFS) trail width standard of 2.4 meters was used as a rough estimate of width for all trails. Waterbody (including rivers, lakes, and ponds) were derived from the Wisconsin Department of Natural Resource’s 24k Hydro Flowlines and 24k Hydro Waterbodies datasets.
Elevation was assessed using the 2009 United States Geological Survey National Elevation Data (NED) at a 10-meter resolution. The “Surface Parameters” tool was used to calculate slope and aspect in degrees using the NED dataset. Aspect was converted into folded aspect (180 - |Aspect – 180|) using the “Raster Calculator” tool. Direct Incident Radiation (DIR) was calculated using equation 3 from McCune & Keon (2002), which calculates DIR in radians using latitude, folded aspect, and slope. Topographic Wetness Index (TWI) was calculated using the equation ln(Total Catchment Area/Flow Width)/tan(Slope). TWI is a landscape index that combines slope and the upland contributing area to predict how much water is likely to accumulate on a given landscape (Beven & Kirkby, 1979).
Elev_m: Elevation (meters)
Slope: Slope
TWI: Topographic Wetness Index
FoldedAsp: Aspect
DIR: Direct Incident Radiation
RD_Distm: Distance to paved road (meters)
GV_Distm: Distance to gravel road (meters)
TR_Distm: Distance to pedestrian trail (meters)
Com_Distm: Distance to commercial area (meters)
Res_Distm: Distance to residential area (meters)
Spc_Distm: Distance to special horticultural area (meters)
Mad_Distm: Distance to the center of Madison, WI (defied as State Capital; meters)
LP_Distm: Distance to lake, river, or other waterway (meters)
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Herrick.etal_2026_Weather_2016to2022.csv
Variable names and descriptions
Data was derived from the UW-Madison Arboretum National Weather Service Station (https://www.ncei.noaa.gov/cdo-web/)
YRMONTH: Year and Month (1-12)
Prcp: Precipitation (cm)
AvgMAxT: Mean Maximum Temperature (Celsius)
AvgMinT: Mean Minimum Temperature (Celsius)
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Location
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All sites are located within Dane County, Wisconsin, USA. As several sites are located on private property, specific location information is not included here to preserve the privacy of landowners/managers. Please contact Brad Herrick for further information re: site locations if necessary.
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Contact
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Contact me at:
Brad Herrick
e-mail: bradley.herrick@wisc.edu
alternate e-mail: herricbr@hotmail.com
Present address during publication:
University of Wisconsin-Madison
Lakeshore Nature Preserve
21 N. Park St. Suite 6401
Madison, WI 53715
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