Official Series Description


Lab Data Summary

Aggregate lab data for the PADINA soil series. This aggregation is based on all pedons with a current taxon name of PADINA, 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 PADINA 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
86B08N0184MLRA87-PADINA-S07TX0510001Padina7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.6639004,-96.6399841
87A10N0799S09TX0550021PADINA7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.6773949,-97.5616684
87A10N0803S09TX1870019PADINA7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.3920536,-97.9100418

Water Balance

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

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 PADINA 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 PADINA 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 PADINA 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.

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

Soil series sharing subgroup-level classification with PADINA, 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-2010-11-02-16 | Burleson County - 2005

    Typical pattern of soils in the Padina-Silstid and Lexton-Benchley general soil map units (Soil Survey of Burleson County, Texas; 2005).

  2. TX-2010-11-03-54 | Lee County - 2007

    Landscape and parent material of the Padina-Robco-Silstid general soil map unit (Soil Survey of Lee County, Texas; 2007).

  3. TX-2010-11-04-07 | Milam County - 2004

    Typical pattern of soils and underlying material in the Padina-Silstid general soil map unit (Soil Survey of Milam County, Texas; 2004).

  4. TX-2010-11-04-11 | Robertson County - 2007

    Pattern of soils and underlying material in the Silstid-Padena-Robco general soil map unit (Soil Survey of Robertson County, Texas; 2007).

  5. TX-2012-03-21-30 | Leon County - July 1989

    Pattern of soils and underlying material in the Padina-Arenosa general soil map unit (Soil Survey of Leon County, TX; 1989).

  6. TX-2012-03-21-32 | Leon County - July 1989

    Pattern of soils and underlying material in the Margie-Jedd-Lexton general soil map unit (Soil Survey of Leon County, TX; 1989).

  7. TX-2012-03-21-41 | Madison County - June 1994

    Pattern of soils and parent material in the Robco-Padina-Silstid general soil map unit (Soil Survey of Madison County, TX; 1994).

Map Units

Map units containing PADINA 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
Padina fine sand, 1 to 8 percent slopesPaD17500332096730n2mtx00119701:20000
Padina fine sand, 1 to 12 percent slopesPaE59520393400f6cbtx02119721:24000
Padina loamy fine sand, 1 to 5 percent slopesPaC40373632132wsswtx04119931:20000
Padina fine sand, 1 to 5 percent slopesPaB34121363459d66htx05119941:24000
Padina fine sand, 5 to 15 percent slopesPaE7392363460d66jtx05119941:24000
Padina fine sand, 0 to 5 percent slopes454072365465d896tx14519751:20000
Padina fine sand, 2 to 5 percent slopesPaC1043365741d8l3tx14919911:24000
Padina loamy fine sand, 1 to 5 percent slopesPaB190173754072wsswtx16119861:24000
Padina loamy fine sand, 1 to 5 percent slopesPaC124053665272wsswtx17719971:24000
Padina loamy fine sand, 1 to 8 percent slopesPaD3767366802d9pbtx18519881:24000
Padina loamy fine sand, 1 to 5 percent slopesPdC303233690882wsswtx28720021:24000
Padina loamy fine sand, 5 to 15 percent slopesPdF5668748070t3f9tx28720021:24000
Padina loamy fine sand, 1 to 8 percent slopesPaC46370369226dd6jtx28919851:24000
Padina loamy fine sand, 8 to 15 percent slopesPaD12193369227dd6ktx28919851:24000
Padina loamy fine sand, 1 to 5 percent slopesPaC168233694152wsswtx29319911:24000
Padina loamy fine sand, 5 to 12 percent slopesPaE2685369416dddntx29319911:24000
Padina loamy fine sand, 1 to 5 percent slopesPaC23633703032wsswtx31319891:24000
Padina fine sand, 1 to 8 percent slopesPaC62293370686dfqmtx33119881:24000
Padina loamy fine sand, 1 to 8 percent slopesPaD1866370959dg0ftx34919681:24000
Padina loamy fine sand, 1 to 5 percent slopesPaC341363717342wsswtx39519961:24000
Padina loamy fine sand, 5 to 15 percent slopesPaE7155371735dgtgtx39519961:24000
Padina loamy fine sand, 1 to 5 percent slopes5351903731832wsswtx47719791:24000
Padina fine sand, 1 to 8 percent slopesPaD1515373567djqktx49119811:20000

Map of Series Extent

Approximate geographic distribution of the PADINA 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 .