Official Series Description


Lab Data Summary

Aggregate lab data for the KIMERA soil series. This aggregation is based on all pedons with a current taxon name of KIMERA, 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 KIMERA 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
6903N075402CO628007Kimera6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.5724444,-103.2056389

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the KIMERA 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 KIMERA 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 KIMERA 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 KIMERA 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 mountains figure.

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Competing Series

Soil series competing with KIMERA 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 KIMERA 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 KIMERA 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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There are insufficient data to create the 3D mountains figure.

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Click the image to view it full size.

Soil series sharing subgroup-level classification with KIMERA, 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 KIMERA 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
Kimera loam, 0 to 5 percent slopesKmC293233900622t51vco00919661:20000
Kimera loam, dry, 0 to 4 percent slopesKmB25877942462t51rco01119651:15840
Kimera loam, 0 to 3 percent slopesKmA1437833900632t51tco01119651:15840
Kimera loam, 0 to 5 percent slopesKmC425533900642t51vco01119651:15840
Fort, eroded-Kimera complex, 0 to 2 percent slopes3418021944442t52kco06119771:24000
Kimera-Fort-Larimer loams, 1 to 5 percent slopes631508433900712t52mco06119771:24000
Kimera loam, 0 to 3 percent slopes2011142944292t51tco06119771:24000
Fort-Kimera loams, 1 to 3 percent slopes641110233900692t52lco06119771:24000
Kimera loam, 0 to 5 percent slopes14252751052232t51vco07320011:24000
Kimera loam, 0 to 3 percent slopes14115871052222t51tco07320011:24000
Kimera-Fort loams, dry, 0 to 3 percent slopesKFB2977626111862rgs4co08919661:15840
Kimera loam, dry, 0 to 4 percent slopesKmB1829233900962t51rco08919661:15840
Wilid-Kimera complex, 0 to 2 percent slopesKmC538927666712t51sco08919661:15840
Kimera loam, 0 to 5 percent slopes43553733901842t51vco62519751:24000
Kimera loam, dry, 0 to 4 percent slopesKm13630954982t51rco62619741:24000
Kimera loam, 0 to 5 percent slopesWk3081955482t51vco62619741:24000
Wilid-Kimera complex, 0 to 2 percent slopesKmC354131053612t51sco62820081:24000
Kimera-Oterodry fine sandy loams, 0 to 4 percent slopesKO173661053982t51xco62820081:24000
Kimera-Cascajo complex, 1 to 12 percent slopesK2D46331053582t51wco62820081:24000
Kimera loam, dry, 0 to 4 percent slopesKmB238133900872t51rco62820081:24000
Kimera loam, 0 to 3 percent slopesKm15911053602t51tco62820081:24000
Kimera-Cascajo complex, 1 to 12 percent slopes5257184983192t51wco63719861:24000
Kimera loam, 0 to 5 percent slopes4949504983152t51vco63719861:24000
Kimera loam, 0 to 3 percent slopes4825274983142t51tco63719861:24000

Map of Series Extent

Approximate geographic distribution of the KIMERA 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 .