Official Series Description


Lab Data Summary

Aggregate lab data for the LATOURELL soil series. This aggregation is based on all pedons with a current taxon name of LATOURELL, 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 LATOURELL 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
270C0074S1970OR051010LATOURELL6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties45.5231438,-122.4311829

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the LATOURELL 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 LATOURELL 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 LATOURELL 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 LATOURELL 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 LATOURELL 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 LATOURELL series and competing. 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 LATOURELL 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 .

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Click the image to view it full size.

Click the image to view it full size.

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 LATOURELL, 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 LATOURELL 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
Latourell silt loam, 3 to 8 percent slopes27B4636096821fqor00919831:20000
Latourell silt loam, 0 to 3 percent slopes27A3876096721fpor00919831:20000
Urban land-Latourell complex, 0 to 3 percent slopes51A100266184222bxor05119771:20000
Urban land-Latourell complex, 3 to 8 percent slopes51B39256184322byor05119771:20000
Urban land-Latourell complex, 8 to 15 percent slopes51C7726184422bzor05119771:20000
Latourell loam, 0 to 3 percent slopes25A724617892296or05119771:20000
Latourell loam, 3 to 8 percent slopes25B482617902297or05119771:20000
Latourell-Urban land complex, 3 to 8 percent slopes26B22561794229cor05119771:20000
Urban land-Latourell complex, 15 to 30 percent slopes51D2136184522c0or05119771:20000
Latourell-Urban land complex, 0 to 3 percent slopes26A17861793229bor05119771:20000
Latourell loam, 8 to 15 percent slopes25C161617912298or05119771:20000
Latourell loam, 15 to 30 percent slopes25D116617922299or05119771:20000
Latourell loam, 0 to 3 percent slopes53A531061675225jor61019821:20000
Latourell loam, 3 to 8 percent slopes53B190761676225kor61019821:20000
Latourell loam, 15 to 30 percent slopes53D41961678225mor61019821:20000
Latourell loam, 8 to 15 percent slopes53C35761677225lor61019821:20000

Map of Series Extent

Approximate geographic distribution of the LATOURELL 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 .