Official Series Description


Lab Data Summary

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

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

There are insufficient data to create the 3D flats position figure.

Competing Series

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

Click the image to view it full size.

Geomorphic description summaries for the GOTHENBURG 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 GOTHENBURG, 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. NE-2012-02-13-21 | Hamilton County - March 1985

    Typical pattern of soils and relationship to topography and parent material in the Gothenburg-Platte-Alda association (1) and the Thurman-Coly association (4) (Soil Survey of Hamilton County, Nebraska; March 1985).

  2. NE-2012-02-13-38 | Kearney County - September 1984

    Typical pattern of soils in the Alda-Wann-Boel association (Soil Survey of Kearney County, Nebraska; September 1984).

  3. NE-2012-02-13-45 | Keith County - November 1995

    Typical pattern of soils and parent material in the Lex-Norwest-Alda and Gothenburg-Platte associations (Soil Survey of Keith County, Nebraska; November 1995).

  4. NE-2012-02-13-73 | Platte County - September 1988

    Typical landscape pattern of the soils and the underlying material in the Boel-Inavale-Gothenburg association (Soil Survey of Platte County, Nebraska; September 1988).

Map Units

Map units containing GOTHENBURG 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
Gothenburg loamy sand, frequently flooded849313822161002dd13ne00119701:20000
Gothenburg loam, frequently flooded8491822160902dd0sne00119701:20000
Gothenburg loamy sand, frequently flooded84931724098072lwlqne01119661:20000
Gothenburg soils, frequently flooded8495886317000681v21xne01919671:20000
Gothenburg loamy sand, frequently flooded849342022282292dsncne01919671:20000
Gothenburg loam, frequently flooded849110722282092dsmqne01919671:20000
Gothenburg soils, frequently flooded84956222190262dh2hne02319791:20000
Gothenburg soils, frequently flooded849515822169552ddxpne03719801:20000
Gothenburg soils, frequently flooded84951949616996841v1njne04719751:20000
Gothenburg soils, occasionally flooded8494170616988051v0r5ne04920001:24000
Gothenburg loamy sand, frequently flooded8493789716987431v0p5ne06919951:20000
Gothenburg soils, frequently flooded84959122194962dhknne07319781:20000
Gothenburg fine sandy loam, frequently flooded8490716922081tswcne07319781:20000
Gothenburg loam, frequently flooded8491561917001291v23wne07920031:12000
Gothenburg loamy sand, frequently flooded8493198916921581tstrne08119821:20000
Gothenburg soils, frequently flooded849535022188002dgv6ne08119821:20000
Gothenburg loam, frequently flooded84911922188042dgvbne08119821:20000
Gothenburg loamy sand, frequently flooded849310722289262dtcvne09319681:12000
Gothenburg soils, frequently flooded8495922289272dtcwne09319681:12000
Gothenburg loamy sand, frequently flooded8493144316918461tshpne09919821:20000
Gothenburg soils, frequently flooded849533822194492dhj4ne09919821:20000
Gothenburg soils, occasionally flooded8494683122195872dhnlne10119901:20000
Gothenburg loamy sand, occasionally flooded8492469116988881v0tvne10119901:20000
Gothenburg soils, frequently flooded84951820516991661v13tne11119711:24000
Gothenburg loamy sand, occasionally flooded8492105422197262dht2ne11119711:24000
Gothenburg soils, frequently flooded8495448017096411vd0qne12119781:20000
Gothenburg fine sandy loam, frequently flooded8490214122282892dsq9ne12119781:20000
Platte-Gothenburg complex, channeled, frequently flooded8571207717096791vd1yne12119781:20000
Gothenburg loamy sand, frequently flooded8493170422282762dspwne12119781:20000
Gothenburg loamy sand, frequently flooded8493694216926141tt9gne12319811:20000
Gothenburg loamy sand, frequently flooded84936047427515gbvtne12519581:20000
Gothenburg soils, frequently flooded84958222289902dtfxne12519581:20000
Platte-Gothenburg complex, channeled, frequently flooded85713222290092dtgjne12519581:20000
Gothenburg loamy sand, frequently flooded849365216920911tsrlne12919741:20000
Gothenburg soils, frequently flooded849566016917511tsdmne13719671:20000
Gothenburg loamy sand, frequently flooded849321322194692dhjsne13719671:20000
Gothenburg soils, frequently flooded84952206427638gbzsne14119841:20000
Gothenburg fine sandy loam, frequently flooded84905722172092df5wne14119841:20000
Gothenburg soils, frequently flooded8495113522189902dh1bne14319671:20000
Gothenburg fine sandy loam, frequently flooded849061516923141tszsne14319671:20000
Gothenburg loamy sand, frequently flooded84933322190082dh1xne14319671:20000
Gothenburg soils, frequently flooded8495706816537051shtbne15719651:20000
Gothenburg loamy sand, frequently flooded84938522276982ds37ne15719651:20000
Gothenburg loamy sand, frequently flooded849360216924401tt3vne16919651:20000

Map of Series Extent

Approximate geographic distribution of the GOTHENBURG 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 .