Official Series Description


Lab Data Summary

Aggregate lab data for the WASEPI soil series. This aggregation is based on all pedons with a current taxon name of WASEPI, and applied along 1-cm thick depth slices. Solid lines are the slice-wise median, bounded on either side by the interval defined by the slice-wise 5th and 95th percentiles. The median is the value that splits the data in half. Five percent of the data are less than the 5th percentile, and five percent of the data are greater than the 95th percentile. Values along the right hand side y-axis describe the proportion of pedon data that contribute to aggregate values at this depth. For example, a value of "90%" at 25cm means that 90% of the pedons correlated to WASEPI were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
9886P092286MI037001Wasepi6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.958889,-84.5916672

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WASEPI soil series. Monthly precipitation (PPT) and potential evapotranspiration (PET) have been estimated from the 50th percentile of gridded values (PRISM 1981-2010) overlapping with the extent of SSURGO map units containing each series as a major component. Monthly PET values were estimated using the method of Thornthwaite (1948). These (and other) climatic parameters are calculated with each SSURGO refresh and provided by the fetchOSD function of the soilDB package. Representative water storage values (“AWC” in the figures) were derived from SSURGO by taking the 50th percentile of profile-total water storage (sum[awc_r * horizon thickness]) for each soil series. Note that this representation of “water storage” is based on the average ability of most plants to extract soil water between 15 bar (“permanent wilting point”) and 1/3 bar (“field capacity”) matric potential. Soil moisture state can be roughly interpreted as “dry” when storage is depleted, “moist” when storage is between 0mm and AWC, and “wet” when there is a surplus. Clearly there are a lot of assumptions baked into this kind of monthly water balance. This is still a work in progress.

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the WASEPI series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the WASEPI series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the WASEPI series and siblings. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. Proportions can be interpreted as an aggregate representation of geomorphic membership. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Small Shannon entropy values suggest relatively consistent geomorphic association, while larger values suggest lack thereof. Source: SSURGO component records .

Click the image to view it full size.

Click the image to view it full size.

There are insufficient data to create the 3D mountains figure.

Click the image to view it full size.

Click the image to view it full size.

Competing Series

Soil series competing with WASEPI share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

Click the image to view it full size.

Select annual climate data summaries for the WASEPI series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the WASEPI series and competing. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Proportions can be interpreted as an aggregate representation of geomorphic membership. Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Shannon entropy values close to 0 represent soil series with relatively consistent geomorphic association, while values close to 1 suggest lack thereof. Source: SSURGO component records .

There are insufficient data to create the 2D hillslope position figure.

There are insufficient data to create the 3D hills figure.

There are insufficient data to create the 3D mountains figure.

There are insufficient data to create the 3D terrace figure.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with WASEPI, arranged according to family differentiae. Hovering over a series name will print full classification and a small sketch from the OSD. Source: snapshot of SC database .

Block Diagrams

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

  1. MI-2012-02-06-33 | Kent County - April 1986

    Pattern of soils and underlying material in the Plainfield-Oshtemo-Spinks association (Soil Survey of Kent County, Michigan; April 1986).

Map Units

Map units containing WASEPI as a major component. Limited to 250 records.

Map Unit Name Symbol Map Unit Area (ac) Map Unit Key National Map Unit Symbol Soil Survey Area Publication Date Map Scale
Wasepi sandy loam, 0 to 3 percent slopesWbA903418640867z5mi03719741:15840
Wasepi sandy loam, 2 to 6 percent slopesWeB3224379052mtv3mi03719741:15840
Wasepi sandy loam, 0 to 3 percent slopesWaA582818625967tcmi04519741:15840
Wasepi sandy loam, bedrock variant, 0 to 3 percent slopesWbA53718626067tdmi04519741:15840
Wasepi sandy loam, 0 to 2 percent slopesWeA225318690868h9mi04919671:20000
Wasepi sandy loam, loamy substratum, 0 to 2 percent slopesWpA117518690968hbmi04919671:20000
Fabius-Wasepi sandy loams, 0 to 2 percent slopesFaA224100272lwttmi04919671:20000
Wasepi loamy sand, loamy substratum, 0 to 2 percent slopes40A409218679068chmi06319781:20000
Wasepi sandy loam, 0 to 2 percent slopesWeA124377762mtpymi06519771:15840
Wasepi-Brady loamy sands, 0 to 2 percent slopesWrA55818821669vhmi06719651:15840
Wasepi-Brady loamy sands, 2 to 6 percent slopesWrB37418821769vjmi06719651:15840
Wasepi sandy loam, 0 to 2 percent slopesWeA35618821469vfmi06719651:15840
Wasepi sandy loam, 2 to 6 percent slopesWeB32118821569vgmi06719651:15840
Wasepi-Brady sandy loams, 0 to 2 percent slopesWsA15618821869vkmi06719651:15840
Wasepi-Brady sandy loams, 2 to 6 percent slopesWsB13518821969vlmi06719651:15840
Wasepi loamy sand, 0 to 3 percent slopes16A4159186605685jmi07319831:15840
Wasepi loamy sand, 0 to 4 percent slopes27B530618712268q6mi08119841:15840
Fabius-Wasepi sandy loams, 0 to 2 percent slopesFaA54111920196ft5mi08719661:15840
Fabius-Wasepi sandy loams, 2 to 6 percent slopesFaB15831920206ft6mi08719661:15840
Wasepi loamy sand, 2 to 6 percent slopesWsB11931921686fyzmi08719661:15840
Wasepi loamy sand, 0 to 2 percent slopesWsA8291921676fyymi08719661:15840
Wasepi sandy loam, 0 to 3 percent slopesWdA1292508514692hmi08719661:15840
Wasepi sandy loam, 0 to 2 percent slopesWeA424098372lwmpmi08719661:15840
Wasepi sandy loam, 0 to 2 percent slopesWeA3187187611696zmi09319681:20000
Wasepi sandy loam, 0 to 2 percent slopesWtA4438187698699smi09919671:20000
Wasepi sandy loam, silty subsoil variant, 0 to 4 percent slopesWuB2354187699699tmi09919671:20000
Wasepi loamy sand, 0 to 2 percent slopesWsA2311187696699qmi09919671:20000
Wasepi-Pipestone complex, 0 to 4 percent slopesWvB113526737102qz6cmi09919671:20000
Wasepi loamy sand, 2 to 6 percent slopesWsB312187697699rmi09919671:20000
Wasepi sandy loam, 0 to 3 percent slopesWrA5225086706bh0mi09919671:20000
Wasepi sandy loam, clay subsoil variant, 0 to 3 percent slopesWwA2925086716928mi09919671:20000
Wasepi-Boyer complex, loamy substratum, 0 to 6 percent slopesWpB1525086696927mi09919671:20000
Wasepi sandy loam, loamy substratum, 0 to 3 percent slopes44A105218725168vcmi11519801:15840
Wasepi sandy loam, 0 to 4 percent slopes105A21325091646fggmi11519801:15840
Wasepi sandy loam, 0 to 3 percent slopes17A50721888216bh0mi12519801:15840
Wasepi sandy loam, 0 to 2 percent slopes120A524382272mv5hmi12519801:15840
Wasepi loamy sand, 0 to 2 percent slopes130A42508683699qmi12519801:15840
Wasepi sandy loam, 0 to 2 percent slopesWsA10561927486gkpmi13919671:15840
Wasepi sandy loam, 0 to 3 percent slopes152A442673617692hmi14519911:15840
Wasepi sandy loam, loamy substratum, 0 to 2 percent slopes127A3123995392ljxhmi14519911:15840
Wasepi sandy loam, 0 to 2 percent slopes126A2723995442ljxnmi14519911:15840
Wasepi sandy loam, 0 to 2 percent slopesWoA33731874636926mi14719691:20000
Wasepi-Boyer complex, loamy substratum, 0 to 6 percent slopesWpB31231874646927mi14719691:20000
Wasepi sandy loam, clay subsoil variant, 0 to 3 percent slopesWsA24961874656928mi14719691:20000
Wasepi sandy loam, silty subsoil variant, 0 to 4 percent slopesWuB272508391699tmi14719691:20000
Wasepi-Boyer complex, loamy substratum, 0 to 6 percent slopesWpB4725083216927mi15119551:15840
Wasepi loamy sand, loamy substratum, 0 to 2 percent slopesWsA29250832368chmi15119551:15840
Wasepi sandy loam, 0 to 3 percent slopesWrA112508322692hmi15119551:15840
Wasepi sandy loam, clay subsoil variant, 0 to 3 percent slopesWtA525083246928mi15119551:15840
Wasepi loamy sand, 0 to 2 percent slopesWgA225083176fyymi15119551:15840
Fabius-Wasepi sandy loams, 0 to 2 percent slopesFaA125082676ft5mi15119551:15840
Wasepi sandy loam, 0 to 2 percent slopesWeA563418785969gzmi15519671:12000
Wasepi sandy loam, 2 to 6 percent slopesWeB297818786069h0mi15519671:12000
Wasepi sandy loam, 0 to 3 percent slopesWbA9223945012lcnzmi15519671:12000
Wasepi sandy loam, loamy substratum, 0 to 2 percent slopesWpA723992432ljlymi15519671:12000
Wasepi sandy loam, 0 to 3 percent slopes19A13332187472692hmi15719841:15840
Wasepi loamy sand, loamy substratum, 0 to 2 percent slopes129A15250812768chmi15719841:15840
Wasepi sandy loam, 0 to 4 percent slopesWaA111251916876fggmi16119741:20000
Wasepi sandy loam, loamy substratum, 0 to 3 percent slopesWbA35250872268vcmi16119741:20000
Wasepi sandy loam, 0 to 4 percent slopesWdA558230151056fggmi16319741:12000
Wasepi loamy sand, 0 to 2 percent slopesWaA357730150746bl9mi16319741:12000
Wasepi loamy sand, loamy substratum, 0 to 2 percent slopesWeA213630150756blbmi16319741:12000
Wasepi sandy loam, 0 to 3 percent slopesWcA330151046bh0mi16319741:12000
Wasepi fine sandy loam, 0 to 3 percent slopesWcA993423380g6kfwi02119721:15840
Wasepi sandy loam, 0 to 3 percent slopesWmA3692423842g71bwi05519761:15840
Wasepi sandy loam, 1 to 3 percent slopesWmA354426025g99rwi08919671:15840
Wasepi sandy loamWa676423939g74gwi11719741:15840
Wasepi sandy loam, 1 to 3 percent slopesWmA664425792g927wi13119671:15840
Wasepi sandy loam, 0 to 3 percent slopesWaA5330422906g624wi60019761:15840
Wasepi sandy loam, clayey substratum, 1 to 3 percent slopesWnA1785424126g7bhwi60119671:15840
Wasepi sandy loam, 1 to 3 percent slopesWmA225424125g7bgwi60119671:15840
Wasepi sandy loam, 1 to 3 percent slopesWmA648425940g970wi60219671:15840

Map of Series Extent

Approximate geographic distribution of the WASEPI soil series. To learn more about how this distribution was mapped, or to compare this soil series extent to others, use the Series Extent Explorer (SEE) application. Source: generalization of SSURGO geometry .