Official Series Description


Lab Data Summary

Aggregate lab data for the GALLIME soil series. This aggregation is based on all pedons with a current taxon name of GALLIME, 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 GALLIME 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
133B98P002397TX419002GALLIME6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.7361946,-93.8465576
133BS96TX067002S96TX067002Gallime5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties32.9841667,-94.5255556
86BS11TX2897017S11TX2897017Gallime2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.2260551,-95.9251099
86BS11TX2897018S11TX2897018Gallime2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.2259941,-95.925148
86BS11TX2897019S11TX2897019Gallime2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.2258549,-95.9252548
87AS11TX2897012S11TX2897012Gallime2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties31.18997,-95.7534256

Water Balance

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

Soil series sharing subgroup-level classification with GALLIME, 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-2010-11-05-01 | Wood County - 1998

    Typical pattern of soils and parent material in the Derly-Raino general soil map unit (Soil Survey of Wood County, Texas; 1998).

  2. TX-2012-03-21-76 | Smith County - July 1993

    Typical pattern of soils and parent material in the Wolfpen-Pickton general soil map unit (Soil Survey of Smith County, TX; 1993).

  3. TX-2012-03-21-78 | Smith County - July 1993

    Typical pattern of soils and parent material in the Bowie-Cuthbert-Kirvin general soil map unit (Soil Survey of Smith County, TX; 1993).

Map Units

Map units containing GALLIME 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
Gallime fine sandy loam, 0 to 1 percent slopesBeA1175575121m9g9tx00119701:20000
Gallime fine sandy loam, 1 to 5 percent slopes1747063676062sjxntx21319781:20000
Gallime-Alazan complex, 0 to 2 percent slopesGaA3582578217mdp5tx40119931:24000
Gallime-Guyton complex, 0 to 2 percent slopes, moundedGaA1952575771mb48tx41920021:24000
Gallime very fine sandy loam, 1 to 3 percent slopesGaB10645757152y11rtx41920021:24000
Gallime fine sandy loam, 1 to 5 percent slopesGaB114165758032sjxntx42319871:24000
Gallime fine sandy loam, 1 to 3 percent slopesGaB676373049dj5vtx46719941:24000
Gallime fine sandy loam, 1 to 3 percent slopesGaB3739576051mbf9tx49919931:24000
Gallime-Spurger association, gently undulatingGAB4940374423dkm5tx61119801:20000
Gallime-Guyton complex, 0 to 2 percent slopesGaC19988576483mbw7tx61620041:24000
Gallime fine sandy loam, 1 to 5 percent slopesGaA12530576523mbxjtx61620041:24000
Gallime-Guyton complex, 0 to 2 percent slopesGaC3760189483521lqqtx61920071:24000
Gallime-Alazan Complex, 0 to 2 percent slopesGaA2928189483821lqttx61920071:24000
Gallime very fine sandy loam, 1 to 3 percent slopesGaB143418947592y11rtx61920071:24000

Map of Series Extent

Approximate geographic distribution of the GALLIME 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 .