Official Series Description


Lab Data Summary

Aggregate lab data for the ATTOYAC soil series. This aggregation is based on all pedons with a current taxon name of ATTOYAC, 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 ATTOYAC 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
133B40A445057TX347090Attoyac4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.6436119,-94.4027786
133B82P049982TX423005Attoyac7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties32.3819427,-95.4347229
133B87P070187LA085007Attoyac7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.5533333,-93.671669
133B88P009888TX347004Attoyac7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.5,-94.788887

Water Balance

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

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 ATTOYAC, 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-2012-03-19-06 | Angelina County - February 1988

    Typical pattern of soils and underlying material in the Besner-Mollville-Bienville map unit (Soil Survey of Angelina County, TX; 1988).

  2. TX-2012-03-21-33 | Leon County - July 1989

    The Gladewater, Kaufman, and Nahatche soils are dominant on the terraces and flood plains of the Trinity River system (Soil Survey of Leon County, TX; 1989).

Map Units

Map units containing ATTOYAC 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
Attoyac fine sandy loam, 1 to 5 percent slopesAtC992190301921w7qla08519911:24000
Attoyac fine sandy loam, 8 to 15 percent slopesAtD219257518230n2rtx00519841:24000
Attoyac fine sandy loam, 0 to 4 percent slopesAtB19265751812sjxgtx00519841:24000
Attoyac fine sandy loam, 0 to 1 percent slopesAc22465753042sjxftx07319491:20000
Attoyac fine sandy loam, 1 to 3 percent slopesAtB31425754862sjxhtx22519941:24000
Attoyac fine sandy loam, 3 to 12 percent slopesAtD3721369169dd4ptx28919851:24000
Attoyac fine sandy loam, 0 to 3 percent slopesAtB2797369168dd4ntx28919851:24000
Attoyac fine sandy loam, 0 to 4 percent slopes6118775756722sjxgtx34719761:24000
Attoyac fine sandy loam, 8 to 15 percent slopes7343057568330n2rtx34719761:24000
Attoyac-Urban land complex, 0 to 4 percent slopes8946575684mb1gtx34719761:24000
Attoyac fine sandy loam, 1 to 3 percent slopesAyB26075782002sjxhtx40119931:24000
Attoyac fine sandy loam, 8 to 15 percent slopesAyE43857820130n2rtx40119931:24000
Attoyac fine sandy loam, 0 to 5 percent slopesAtB477575757mb3ttx41920021:24000
Attoyac fine sandy loam, 1 to 3 percent slopesAtB38195757862sjxhtx42319871:24000
Attoyac fine sandy loam, 1 to 3 percent slopesAtB12955760362sjxhtx49919931:24000
Attoyac fine sandy loam, 0 to 3 percent slopesAtA1733374409dklqtx61119801:20000
Attoyac fine sandy loam, 0 to 4 percent slopesAtB660418947822sjxgtx61920071:24000

Map of Series Extent

Approximate geographic distribution of the ATTOYAC 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 .