Official Series Description


Lab Data Summary

Aggregate lab data for the KLICKITAT soil series. This aggregation is based on all pedons with a current taxon name of KLICKITAT, 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 KLICKITAT 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.


Water Balance

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

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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 KLICKITAT 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 KLICKITAT 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 KLICKITAT 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 .

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 terrace figure.

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

Soil series sharing subgroup-level classification with KLICKITAT, 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. OR-2012-05-10-23 | Yamhill County - January 1974

    Pattern of typical soils of association 10 that are on the Coast Range (Soil Survey of Yamhill County, Oregon; January 1974).

Map Units

Map units containing KLICKITAT 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
Hembre-Klickitat complex, 30 to 60 percent slopes25E12386096521fmor00919831:20000
Hembre-Klickitat complex, 3 to 30 percent slopes25D2926096421flor00919831:20000
Kilchis-Klickitat complex, 60 to 90 percent slopes39F219906235522wgor05319771:20000
Klickitat gravelly clay loam, 50 to 75 percent slopes41F99346236122wnor05319771:20000
Klickitat gravelly clay loam, 30 to 50 percent slopes41E60246236022wmor05319771:20000
Klickitat gravelly clay loam, 3 to 30 percent slopes41D40326235922wlor05319771:20000
Klickitat very cobbly medial loam, 30 to 60 percent slopes425E36717327wwor05720061:24000
Klickitat very stony loam, 60 to 90 percent slopes25G22586146021ylor06719751:20000
Klickitat very stony loam, 30 to 60 percent slopes25F3966145921ykor06719751:20000
Kilchis-Klickitat complex, 60 to 90 percent slopes24G2276145721yhor06719751:20000
Klickitat very stony loam, 3 to 30 percent slopes25E926145821yjor06719751:20000
Klickitat stony loam, 30 to 60 percent slopesKLF25512711253231for07119671:24000
Klickitat stony loam, 60 to 90 percent slopesKRG15282731457231gor07119671:24000
Klickitat stony loam, 5 to 30 percent slopesKLE11042711208231dor07119671:24000
Kilchis and Klickitat soils, 60 to 90 percent slopesKKG2062711260231cor07119671:24000
Klickitat gravelly clay loam, dissected, 50 to 85 percent slopesKmG171814260001jvw0or60119681:20000
Klickitat-Blachly complex, 25 to 50 percent slopesKoF93214260021jvw2or60119681:20000
Klickitat gravelly clay loam, dissected, 37 to 50 percent slopesKmF63514259991jvvzor60119681:20000
Klickitat gravelly clay loam, 50 to 75 percent slopesKlG38814259971jvvxor60119681:20000
Klickitat gravelly clay loam, 37 to 50 percent slopesKlF24414259961jvvwor60119681:20000
Klickitat gravelly clay loam, dissected, 25 to 37 percent slopesKmE20114259981jvvyor60119681:20000
Klickitat gravelly clay loam, ridge, 25 to 45 percent slopesKnF14514260011jvw1or60119681:20000
Klickitat gravelly clay loam, 25 to 37 percent slopesKlE11514259951jvvvor60119681:20000
Klickitat loam, 10 to 35 percent slopesKkE314259941jvvtor60119681:20000
Klickitat stony loam, 30 to 60 percent slopes51E1779661673225gor61019821:20000
Klickitat-Kinney complex, 5 to 30 percent slopes52D1371161674225hor61019821:20000
Klickitat stony loam, 50 to 75 percent south slopes72G6587362731238lor63719811:20000
Klickitat stony loam, 50 to 75 percent north slopes71G3814362729238jor63719811:20000
Formader-Hembre-Klickitat complex, 50 to 80 percent slopes50G26710626902378or63719811:20000
Klickitat stony loam, 30 to 50 percent south slopes72F2451162730238kor63719811:20000
Klickitat stony loam, 3 to 30 percent slopes70E981262727238gor63719811:20000
Klickitat stony loam, 30 to 50 percent north slopes71F768562728238hor63719811:20000
Hembre-Klickitat complex, 30 to 60 percent slopes55G349162698237jor63719811:20000
Hembre-Klickitat complex, 3 to 30 percent slopes55E253662697237hor63719811:20000
Harrington-Klickitat complex, 50 to 75 percent south slopes41G315956431024xjor63919831:20000
Harrington-Klickitat complex, 50 to 75 percent north slopes40G182906430924xhor63919831:20000
Kinney-Klickitat complex, 50 to 70 percent south slopes59G106556434624ypor63919831:20000
Kinney-Klickitat complex, 50 to 70 percent north slopes58G68856434424ymor63919831:20000
Klickitat-Harrington complex, 30 to 50 percent south slopes62F65606435024ytor63919831:20000
Klickitat-Harrington complex, 3 to 30 percent slopes60E25956434824yror63919831:20000
Klickitat-Harrington complex, 30 to 50 percent north slopes61F22156434924ysor63919831:20000
Kinney-Klickitat complex, 20 to 50 percent north slopes58F17956434324ylor63919831:20000
Kinney-Klickitat complex, 20 to 50 percent south slopes59F16906434524ynor63919831:20000
Klickitat-Kinney complex, 30 to 60 percent slopes126F24817663162707or64919941:24000
Klickitat-Harrington complex, 60 to 90 percent north slopes124G204176630626zxor64919941:24000
Klickitat-Harrington complex, 60 to 90 percent south slopes125G18868663122703or64919941:24000
Kinney-Klickitat complex, 3 to 30 percent slopes122E28516629426zjor64919941:24000
Klickitat-Harrington complex, 30 to 60 percent north slopes124F2946630526zwor64919941:24000

Map of Series Extent

Approximate geographic distribution of the KLICKITAT 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 .