Official Series Description


Lab Data Summary

Aggregate lab data for the TIVIN soil series. This aggregation is based on all pedons with a current taxon name of TIVIN, 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 TIVIN 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
7409KS157104209KS1571042Tivin3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.8223839,-97.8196411
7410KS02950110KS029501Tivin3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.6423454,-97.7638626
7993KS155423R93KS155423RTivin1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.1325264,-97.8750534
7998P046095KS155028TIVIN4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.1478615,-98.1064987

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TIVIN 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 TIVIN 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 TIVIN 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 TIVIN 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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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with TIVIN 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 TIVIN 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 TIVIN 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.

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

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with TIVIN, 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. KS-2010-09-03-01 | Reno County - 2002

    Typical pattern of soils and parent material in the Tivin-Hayes-Pratt association (Soil Survey of Reno County, Kansas; 2002).

Map Units

Map units containing TIVIN 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
Dillwyn-Tivin complex, 0 to 20 percent slopes5884336814404902tt6rks00919791:24000
Tivin fine sand, 10 to 30 percent slopes597138714404992tt7bks00919791:24000
Tivin loamy fine sand, 5 to 15 percent slopes3785149126057302tt7fks02719831:24000
Tivin loamy fine sand, 5 to 15 percent slopes378551926057442tt7fks02919721:24000
Tivin fine sand, 10 to 30 percent slopes597115822193392tt7bks04719671:24000
Tivin-Dillhut fine sands, 0 to 15 percent slopes5973511211554642tt7cks07919701:24000
Tivin fine sand, 10 to 30 percent slopes5971106611554632tt7bks07919701:24000
Tivin fine sand, 10 to 30 percent slopes5971116322193382tt7bks09719831:24000
Tivin-Dillhut fine sands, 0 to 15 percent slopes597313214292512tt7cks11319801:24000
Tivin fine sand, 10 to 30 percent slopes59711032914451742tt7bks15119651:24000
Tivin-Dillhut fine sands, 0 to 15 percent slopes59733353914438582tt7cks15519991:24000
Tivin fine sand, 10 to 30 percent slopes5971477814438572tt7bks15519991:24000
Tivin-Willowbrook, occasionally flooded, complex, 0 to 12 percent slopes5974117114438592tt7dks15519991:24000
Tivin loamy fine sand, 5 to 15 percent slopes378586626056612tt7fks15719651:24000
Dillwyn-Tivin complex, 0 to 20 percent slopes58842446514332832tt6rks15919711:24000
Tivin fine sand, 10 to 30 percent slopes5971514814333032tt7bks15919711:24000
Tivin-Dillhut fine sands, 0 to 15 percent slopes5973172014333042tt7cks15919711:24000
Dillwyn-Tivin complex, 0 to 20 percent slopes58841364314436522tt6rks18519751:24000
Tivin fine sand, 10 to 30 percent slopes59711056914436772tt7bks18519751:24000
Tivin-Dillhut fine sands, 0 to 15 percent slopes597331414436782tt7cks18519751:24000
Tivin loamy fine sand, 5 to 15 percent slopes378519526057162tt7fks20119881:24000

Map of Series Extent

Approximate geographic distribution of the TIVIN 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 .