Official Series Description


Lab Data Summary

Aggregate lab data for the AUTRYVILLE soil series. This aggregation is based on all pedons with a current taxon name of AUTRYVILLE, 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 AUTRYVILLE 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 AUTRYVILLE 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 AUTRYVILLE 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 AUTRYVILLE 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 AUTRYVILLE 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 AUTRYVILLE 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 AUTRYVILLE 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 AUTRYVILLE 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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Click the image to view it full size.

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 AUTRYVILLE, 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. NC-2012-02-07-40 | Sampson County - August 1985

    Pattern of soils in map units 1, 2, and 5 north of Clinton (Soil Survey of Sampson County, North Carolina; August 1985).

Map Units

Map units containing AUTRYVILLE 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
Autryville loamy sand, 0 to 3 percent slopesAuA101091154643w4nnc01719831:24000
Autryville loamy fine sand, 0 to 6 percent slopesAuB19411155693w81nc03119841:24000
Autryville sand, 0 to 3 percent slopesAuB121451156293w9znc04719861:24000
Autryville loamy sand, 0 to 6 percent slopesAuB56261157283wf5nc04919841:24000
Autryville loamy sand, 0 to 2 percent slopesAuA18167811047w6ytnc05119811:24000
Autryville loamy fine sand, 0 to 6 percent slopesAuB88190186594420mnrnc06119551:24000
Autryville loamy sand, 0 to 6 percent slopesAuB52051015541132rdnc06519761:20000
Autryville fine sand, 0 to 6 percent slopesAuB96041127933schnc07919781:24000
Autryville-Urban land complex, 0 to 6 percent slopesAxB8121127943scjnc07919781:24000
Autryville loamy sand, 0 to 5 percent slopesAuB5961131493sqznc09119811:24000
Autryville loamy sand, 0 to 2 percent slopesAuA6330811250w75cnc09319811:24000
Autryville sand, 0 to 2 percent slopesAuA17101135183t3wnc10119861:24000
Autryville loamy fine sand, 0 to 4 percent slopesAuB81901159603wnnnc10319791:24000
Autryville sand, 0 to 3 percent slopesAuA152722335472dz5xnc12320071:24000
Autryville loamy sand, 0 to 6 percent slopesAuB20761108913qd4nc12719841:24000
Autryville loamy sand, 0 to 3 percent slopesAuA8071140253tn7nc13119881:24000
Autryville loamy fine sandAuB98561160673ws3nc13319841:24000
Autryville fine sand, 1 to 4 percent slopesAuB161741161553wvync14119861:24000
Autryville loamy sand, 0 to 6 percent slopesAu355811150393vpync16319821:24000
Autryville sand, 0 to 6 percent slopesAuB2018614142421jgmqnc16520061:12000
Autryville fine sand, 0 to 2 percent slopesAtA15121323554fqjsc00519891:20000
Autryville fine sand, 2 to 6 percent slopesAtB9111323564fqksc00519891:20000
Autryville sand, 0 to 6 percent slopesAuB14041381074mq2sc00919971:24000
Autryville sand, 0 to 4 percent slopesAuB5840602150n6l6sc03119981:24000
Autryville sand, 0 to 2 percent slopesAtA149931300844cc8sc04919901:20000
Autryville sand, 2 to 6 percent slopesAtB11891300854cc9sc04919901:20000
Autryville sand, 0 to 4 percent slopesAuB141016064991qxpksc06120051:24000
Autryville sand, 0 to 6 percent slopesAuB45861306034cx0sc06919951:24000
Autryville-Norfolk complex, 0 to 4 percent slopesAuB1134224858812pfrqsc08519691:20000
Autryville sand, 0 to 2 percent slopesAuA56281315024dv0sc08919851:20000

Map of Series Extent

Approximate geographic distribution of the AUTRYVILLE 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 .