Official Series Description


Lab Data Summary

Aggregate lab data for the BANGO soil series. This aggregation is based on all pedons with a current taxon name of BANGO, 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 BANGO 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
2778P00201977NV019007Bango7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.3083333,-119.2275
2778P0596S1978NV031007BANGO7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.810173,-119.2487717

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the BANGO 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 BANGO 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 BANGO 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 BANGO 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 BANGO 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 BANGO 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 BANGO 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 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 BANGO, 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

No block diagrams are available.

Map Units

Map units containing BANGO 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
Bango-Hawsley association MLRA 2770421910924277692w36rnv60319711:24000
Hooten-Bango-Isolde association1616249643820plydnv60319711:24000
Mazuma-Bango association7062509324277782w4dpnv60319711:24000
Bango-Biddleman-Mazuma association7023260424277502mh8jnv60319711:24000
Bango loamy sand, 0 to 2 percent slopes110560643774plwxnv60319711:24000
Bango silt loam, 0 to 2 percent slopes113481643777plx0nv60319711:24000
Bango sandy loam, 2 to 4 percent slopes112434643776plwznv60319711:24000
Bango sandy loam1411022473892hx3vnv62519811:24000
Bango very gravelly loamy sand142332473893hx3wnv62519811:24000
Bango gravelly sandy loam, 0 to 8 percent slopes13102123474170hxdtnv62819801:24000
Bango-Appian association16506571475235hyj5nv76919861:24000
Bango-Stumble association22023941476499hztynv77019951:24000
Bango-Appian association22110046476500hztznv77019951:24000
Chuckles-Bango association4019248476572hzx9nv77019951:24000
Appian-Juva-Bango association2625738476513hzvdnv77019951:24000
Bango-Playas-Chuckles association2225112476501hzv0nv77019951:24000
Bango-Hawsley association MLRA 277042503424525022w36rnv77019951:24000
Mazuma-Bango association7062310724524982w4dpnv77019951:24000
Hessing-Dun Glen-Bango association4712408476594hzy0nv77019951:24000
Hough-Juva-Bango association7057126124255372mdz4nv77019951:24000
Hooten-Bango-Isolde association6001214476629hzz4nv77019951:24000
Bango-Hawsley complex, 0 to 4 percent slopes42502778476981j0bhnv77419851:24000

Map of Series Extent

Approximate geographic distribution of the BANGO 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 .