Official Series Description


Lab Data Summary

Aggregate lab data for the NACOGDOCHES soil series. This aggregation is based on all pedons with a current taxon name of NACOGDOCHES, 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 NACOGDOCHES 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
133B40A446057TX347091Nacogdoches4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.7252769,-94.8719406
133B87P008186TX347007Nacogdoches7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.5094452,-94.3300018
133B40A4551S1957TX405091Nacogdoches4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.5027771,-94.0513916
133B40A3994S1972LA085008NACOGDOCHES3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.3824997,-93.6147232

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the NACOGDOCHES 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 NACOGDOCHES 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 NACOGDOCHES 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 NACOGDOCHES 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 NACOGDOCHES 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 NACOGDOCHES 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 NACOGDOCHES 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 NACOGDOCHES, 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. MS-2012-04-27-11 | Newton County - February 1960

    Soil associations of Newton County, Mississippi (Soil Survey of Newton County, Mississippi; February 1960).

  2. TX-2010-11-04-19 | San Augustine and Sabine Counties -

    Nacogdoches-Trawick-Alto association (Soil Survey of San Augustine and Sabine Counties, Texas).

Map Units

Map units containing NACOGDOCHES 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
Nacogdoches gravelly loam, 2 to 8 percent slopes, erodedNaC23738565305lz7nar02519651:15840
Nacogdoches gravelly sandy loam, 1 to 5 percent slopesNcC1934190304421w8jla08519911:24000
Nacogdoches fine sandy loam, sloping, erodedNg30454575356m9pwtx07319491:20000
Nacogdoches fine sandy loam, slopingNf11666575355m9pvtx07319491:20000
Nacogdoches fine sandy loam, gently slopingNe6050575354m9pttx07319491:20000
Nacogdoches clay loam, slopingNb482575351m9pqtx07319491:20000
Nacogdoches clay loam, gently slopingNa132575350m9pptx07319491:20000
Nacogdoches fine sandy loam, 1 to 8 percent slopes4242141575653mb0gtx34719761:24000
Nacogdoches clay loam, 1 to 8 percent slopes4411855575655mb0jtx34719761:24000
Nacogdoches gravelly fine sandy loam, 1 to 8 percent slopes436221575654mb0htx34719761:24000
Nacogdoches clay loam, 2 to 5 percent slopes, eroded451542575656mb0ktx34719761:24000
Nacogdoches gravelly clay loam, 1 to 8 percent slopes461035575657mb0ltx34719761:24000
Nacogdoches-Urban land complex, 1 to 5 percent slopes47915575658mb0mtx34719761:24000
Nacogdoches clay loam, 1 to 5 percent slopesNeE15747189476521lngtx61920071:24000
Nacogdoches fine sandy loam, 1 to 5 percent slopesNeB12275189476221lnctx61920071:24000

Map of Series Extent

Approximate geographic distribution of the NACOGDOCHES 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 .