Official Series Description


Lab Data Summary

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

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

Click the image to view it full size.

Select annual climate data summaries for the SINTON series and siblings. 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 SINTON 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.

Click the image to view it full size.

Click the image to view it full size.

Competing Series

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

Click the image to view it full size.

Select annual climate data summaries for the SINTON 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 SINTON 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.

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 SINTON, 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. TX-2010-11-03-10 | Goliad County - 2010

    Pattern of soils and underlying material in the Buchel-Meguin-Sinton general soil map unit (Soil Survey of Goliad County, Texas; 2010).

  2. TX-2010-11-03-61 | Live Oak County - 2006

    Pattern of soils and underlying material in the Papalote-Weesatche-Coy general soil map unit (Soil Survey of Live Oak County, Texas; 2006).

  3. TX-2012-03-21-61 | Refugio County - 1988

    Typical pattern of soils and underlying material in the Aransas-Sinton-Odem map unit (Soil Survey of Refugio County, TX; 1988).

Map Units

Map units containing SINTON 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
Sinton soils, frequently flooded3912874362544d57ztx01319771:24000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally flooded2965483627662vv3stx02519791:24000
Sinton loam, 0 to 1 percent slopes, occasionally floodedSn18283650932yfmltx12319731:20000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally floodedStA1444824032852lntbtx13120081:24000
Sinton clay loam, frequently floodedSn922366013d8vwtx16319851:24000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally floodedSwA532124368382vv3stx17520101:24000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally flooded5230843681372vv3stx24919761:24000
Sinton sandy clay loam, occasionally floodedSt11727368437dcd2tx25519921:24000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally floodedStA26998369672ddnxtx29719971:24000
Sinton clay loam, 0 to 1 percent slopes, frequently floodedSxA4714369673ddnytx29719971:24000
Sinton sandy clay loam, 0 to 2 percent slopes, frequently floodedStB3471370152df5dtx31120101:24000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally floodedFc21833710452vv3stx35519631:20000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally floodedSn44473714992vv3stx39119841:24000
Sinton clay loam, frequently floodedSt3010371500dgkwtx39119841:24000
Sinton loam, 0 to 1 percent slopes, occasionally floodedSn35053731202yfmltx46919801:24000
Sinton sandy clay loam, 0 to 1 percent slopes, occasionally floodedSn40073747592vv3stx62019741:20000

Map of Series Extent

Approximate geographic distribution of the SINTON 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 .