Official Series Description


Lab Data Summary

Aggregate lab data for the CATALPA soil series. This aggregation is based on all pedons with a current taxon name of CATALPA, 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 CATALPA 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
135A81P029481MS081003Catalpa7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties34.169445,-88.7455521
135A40A3967S1965MS081001CATALPA7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties34.1029129,-88.7614365
135A40A3960S1965MS081002CATALPA7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties34.1190224,-88.7919922

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the CATALPA 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 CATALPA 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 CATALPA 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 CATALPA 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 hills figure.

There are insufficient data to create the 3D mountains figure.

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Click the image to view it full size.

Competing Series

Soil series competing with CATALPA 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 CATALPA series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the CATALPA 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 CATALPA, 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-2012-02-06-08 | Prentiss County - October 1997

    Typical pattern of soils and parent material in the Kipling-Sumter general soil map unit (Soil Survey of Prentiss County, Mississippi; October 1997).

  2. MS-2012-02-06-10 | Prentiss County - October 1997

    Typical pattern of soils and parent material in the Leeper-Marietta-Catalpa general soil map unit (Soil Survey of Prentiss County, Mississippi; October 1997).

  3. MS-2012-04-27-11 | Newton County - February 1960

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

Map Units

Map units containing CATALPA 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
Catalpa clayCc5412329656c212al06320131:
Catalpa silty clay loam, 0 to 1 percent slopes, occasionally floodedCpA143425146602qdgmal08520111:24000
Catalpa clayCb3779330891c39xal10119581:20000
Catalpa silty clay, 0 to 1 percent slopes151069564887lyt5ar67019811:20000
Catalpa silty clay loam, 0 to 2 percent slopes, occasionally floodedCt54583318802x2h3ms01719691:20000
Catalpa silty clay loam, occasionally floodedCp2307332751c57xms06919911:20000
Catalpa silty clay loam, 0 to 2 percent slopes, occasionally floodedCp51653330052x2h3ms08119681:20000
Catalpa silty clayCp10705333063c5kzms08719771:20000
Catalpa-Leeper associationCT6797333055c5kqms08719771:20000
Catalpa silty clayCs10696333154c5nxms09519631:15840
Catalpa clay, local alluvium phase (0 to 2 percent slopes)Cb1438333311c5tzms10119571:20000
Catalpa silty clay, occasionally floodedCp12260333408c5y3ms10319831:20000
Leeper-Catalpa association, frequently floodedLL1618333422c5ykms10319831:20000
Catalpa silty clay loamCp10606333478c60cms10519681:20000
Catalpa silty clay loam, 0 to 2 percent slopes, occasionally floodedCc13353336862x2h3ms11519691:20000
Catalpa silty clay, occasionally floodedCa2057333799c6bqms11719951:24000

Map of Series Extent

Approximate geographic distribution of the CATALPA 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 .