Official Series Description


Lab Data Summary

Aggregate lab data for the WONDER soil series. This aggregation is based on all pedons with a current taxon name of WONDER, 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 WONDER were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

There are insufficient data to create the lab data summary figure.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
43C95P0898S1995OR001004Wonder5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.5863876,-118.2963867

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WONDER 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.

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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 WONDER series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the WONDER series and siblings. 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 WONDER 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 .

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.

Competing Series

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

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the WONDER 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 WONDER 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 WONDER, 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

No block diagrams are available.

Map Units

Map units containing WONDER 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
Wonder-McWillis complex, 15 to 30 percent slopes4119BO81425938861r0f4or60419881:24000
Wonder-Bennettcreek-Rock outcrop complex, 0 to 15 percent slopes4118AO31925938851r0f3or60419881:24000
Wonder-McWillis-Rock outcrop complex, 30 to 60 percent slopes4108CO73131202681q70yor60720181:24000
Wonder-McWillis-Rock outcrop complex, 0 to 15 percent slopes4108AO5731207121shs1or60720181:24000
Anatone-Wonder-Rock outcrop complex, 15 to 30 percent slopes4142BO3131204731r0fzor60720181:24000
Bigcow-Wonder complex, dry, 15 to 30 percent slopes4225BO2596833853822r5m8or62620181:24000
Bigcow-Wonder complex, dry, 0 to 15 percent slopes4225AO1995133853812r5m7or62620181:24000
Bigcow-Wonder-Limberjim complex, dry, 15 to 30 percent slopes4220BO1623233852842r5m5or62620181:24000
Escondia-Wonder complex, dry, 30 to 60 percent slopes4222CO1553631225222r5m9or62620181:24000
Bigcow-Wonder complex, 30 to 60 percent slopes4112CO1072831222751r0dxor62620181:24000
Wonder-McWillis complex, 15 to 30 percent slopes4119BO908631222771r0f4or62620181:24000
Olot-Wonder complex, 0 to 15 percent slopes4176AO756131221371qxd6or62620181:24000
Rebarrow-Wonder-Harl complex, 20 to 60 percent slopes4204CO669831221431qxhhor62620181:24000
Wonder-Bigcow complex, 15 to 30 percent slopes4177BO436631221561qy0jor62620181:24000
Bigcow-Wonder-Limberjim complex, dry, 0 to 15 percent slopes4220AO410433853772r5m4or62620181:24000
Harl-Wonder-Rebarrow complex, frost churned, 30 to 60 percent slopes4205CK92231222961r0zpor62620181:24000
Escondia-Rock outcrop-Wonder complex, dry, 60 to 90 percent slopes4222DO90433853782r5mbor62620181:24000
Harl-Rebarrow-Wonder complex, frost churned, 15 to 30 percent slopes4203BK14031222951r0znor62620181:24000
Wonder-McWillis-Rock outcrop complex, 30 to 60 percent slopes4108CO9331221191q70yor62620181:24000
Wonder-McWillis-Rock outcrop complex, 0 to 15 percent slopes4108AO6031224801shs1or62620181:24000
Wonder-McWillis complex, 15 to 30 percent slopes4119BO1035324371701r0f4or63120181:24000
Wonder-Bigcow-Larabee complex, 30 to 60 percent slopes4156CO446824372041qy0qor63120181:24000
Wonder-Larabee-Rock outcrop complex, 15 to 30 percent slopes4155BO354124372032mt3gor63120181:24000
Wonder-Bennettcreek-Rock outcrop complex, 0 to 15 percent slopes4118AO320924868121r0f3or63120181:24000
Wonder-McWillis-Rock outcrop complex, 0 to 15 percent slopes4108AO163624371661shs1or63120181:24000
Wonder-McWillis complex, 30 to 60 percent slopes4134CO161124371821r0fkor63120181:24000
Wonder-McWillis-Rock outcrop complex, 30 to 60 percent slopes4108CO136424868061q70yor63120181:24000
Rebarrow-Tamara-Wonder complex, 0 to 15 percent slopes4164AW114324372141r0yjor63120181:24000
Olot-Wonder complex, 0 to 15 percent slopes4176AO104324372171qxd6or63120181:24000
Anatone-Wonder-Rock outcrop complex, 30 to 60 percent slopes4142CO86224371921r0g0or63120181:24000
Anatone-Wonder-Rock outcrop complex, 15 to 30 percent slopes4142BO72824371911r0fzor63120181:24000
Wonder-McWillis-Rock outcrop complex, 15 to 30 percent slopes4108BO48024868051shs2or63120181:24000
Bigcow-Wonder complex, 15 to 30 percent slopes4112BO32524868101qd00or63120181:24000
Bigcow-Wonder complex, 30 to 60 percent slopes4112CO3324868111r0dxor63120181:24000

Map of Series Extent

Approximate geographic distribution of the WONDER 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 .