Official Series Description


Lab Data Summary

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

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
740A0970S1961WA025003TIMMERMAN5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.0555573,-119.214447
740A0971S1961WA025004TIMMERMAN5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.0288887,-119.2155533
740A0972S1961WA025005TIMMERMAN5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.1474991,-119.5105591

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TIMMERMAN 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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Sibling Summary

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

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

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Geomorphic description summaries for the TIMMERMAN 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 .

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

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

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

Competing Series

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

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

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Geomorphic description summaries for the TIMMERMAN 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.

Click the image to view it full size.

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

Soil series sharing subgroup-level classification with TIMMERMAN, 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 TIMMERMAN 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
Timmerman gravelly coarse sandy loam, 3 to 12 percent slopesTgD1029808672q4mid66519671:20000
Timmerman coarse sandy loam, 1 to 3 percent slopesTeB620808642q4jid66519671:20000
Timmerman gravelly coarse sandy loam, 1 to 3 percent slopesTgB274808662q4lid66519671:20000
Timmerman coarse sandy loam, 3 to 7 percent slopesTeC270808652q4kid66519671:20000
Timmerman sandy loam, 0 to 4 percent slopes155396525195152qytid68520121:24000
Timmerman sandy loam, 4 to 12 percent slopes156260225195162qyvid68520121:24000
Timmerman loamy sand, 2 to 20 percent slopes, rubbly154164825195142qysid68520121:24000
Timmerman coarse sandy loam, 8 to 15 percent slopes405235700279rhpnwa01719981:12000
Timmerman coarse sandy loam, 3 to 8 percent slopes404193700278rhpmwa01719981:12000
Timmerman coarse sandy loam, 0 to 3 percent slopes403168700277rhplwa01719981:12000
Quincy-Timmerman complex, 0 to 15 percent slopes1022076714872dd1wa02119941:20000
Timmerman fine sandy loam, 0 to 2 percent slopes1831162716302djnwa02119941:20000
Timmerman fine sandy loam, 2 to 5 percent slopes184970716322djqwa02119941:20000
Timmerman fine sandy loam, 5 to 10 percent slopes185593716342djswa02119941:20000
Royal-Timmerman complex, 15 to 30 percent slopes132373715372dfnwa02119941:20000
Timmerman coarse sandy loam, 0 to 2 percent slopes165220796876329k5wa02519791:24000
Timmerman loamy sand, 0 to 5 percent slopes164107316876229k4wa02519791:24000
Timmerman coarse sandy loam, thin solum, 0 to 2 percent slopes16877596876629k8wa02519791:24000
Timmerman coarse sandy loam, thin solum, 2 to 5 percent slopes16935896876729k9wa02519791:24000
Timmerman coarse sandy loam, 2 to 5 percent slopes16625996876429k6wa02519791:24000
Timmerman coarse sandy loam, 5 to 10 percent slopes1679336876529k7wa02519791:24000
Sagehill-Timmerman complex, 3 to 15 percent slopes923977773032lfnwa63720081:24000
Timmerman complex, 2 to 5 percent slopes159291708252cppwa68119941:24000

Map of Series Extent

Approximate geographic distribution of the TIMMERMAN 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 .