Official Series Description


Lab Data Summary

Aggregate lab data for the GAGEBY soil series. This aggregation is based on all pedons with a current taxon name of GAGEBY, 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 GAGEBY 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 GAGEBY 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 GAGEBY 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 GAGEBY 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 GAGEBY 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 GAGEBY 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 GAGEBY 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 GAGEBY 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.

Click the image to view it full size.

Click the image to view it full size.

Soil series sharing subgroup-level classification with GAGEBY, 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-2012-03-21-72 | Shackelford County - February 1990

    Typical pattern of soils and parent material in the Bluegrove-Thurber map unit (Soil Survey of Shackelford County, TX; 1990).

  2. TX-2012-03-21-73 | Shackelford County - February 1990

    Typical pattern of soils and parent material in the Truce-Chaney-Bonti map unit (Soil Survey of Shackelford County, TX; 1990).

  3. TX-2012-03-21-80 | Stephens County - May 1994

    Typical pattern of soils and parent material in the Bluegrove-Thurber-Leeray general soil map unit (Soil Survey of Stephens County, TX; 1994).

  4. TX-2012-03-21-82 | Stephens County - May 1994

    Typical pattern of soils and parent material in the Gageby-Thurber-Frio general soil map unit (Soil Survey of Stephens County, TX; 1994).

  5. TX-2012-03-21-84 | Stephens County - May 1994

    Typical pattern of soils and parent material in the Clearfork-Clairemont general soil map unit (Soil Survey of Stephens County, TX; 1994).

  6. TX-2012-03-22-07 | Wheeler County - October 1975

    Relationship of soils in the Abilene-Mobeetie-Berda association to parent material and relief (Soil Survey of Wheeler County, TX; 1975).

Map Units

Map units containing GAGEBY 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
Frio-Gageby association, frequently flooded1825276363591d6brtx05919791:24000
Gageby loam, moist, 0 to 2 percent slopes, occasionally flooded1984183635922wrn9tx05919791:24000
Gageby loam, rarely floodedGa2280364432d76wtx09519851:24000
Gageby clay loam, 0 to 1 percent slopes, occasionally floodedSr47103671632wrn8tx19719651:20000
Gageby clay loam, 0 to 1 percent slopes, occasionally floodedGa35953708652wrn8tx34519721:24000
Volente-Gageby complex, 0 to 5 percent slopes5617541371027dg2mtx35319791:24000
Gageby clay loam, 0 to 1 percent slopes, occasionally flooded1199023709782wrn8tx35319791:24000
Gageby clay loam, frequently flooded126130370979dg12tx35319791:24000
Gageby clay loam, moist, 0 to 1 percent slopes, occasionally floodedGa27583720582wrnbtx41719851:24000
Gageby clay loam, moist, 0 to 1 percent slopes, occasionally floodedGa248643721822wrnbtx42919851:24000
Gageby clay loam, 0 to 1 percent slopes, occasionally floodedGa144883915142wrn8tx44119711:20000
Gageby loam, moist, 0 to 2 percent slopes, occasionally floodedGa111773726862wrn9tx44719911:24000
Gageby clay loam, 0 to 1 percent slopes, occasionally floodedPc25353734392wrn8tx48719601:20000
Gageby loam, moist, 0 to 2 percent slopes, occasionally floodedGaB16156171882wrn9tx50320031:24000

Map of Series Extent

Approximate geographic distribution of the GAGEBY 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 .