Official Series Description


Lab Data Summary

Aggregate lab data for the BROADALBIN soil series. This aggregation is based on all pedons with a current taxon name of BROADALBIN, 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 BROADALBIN 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
10140A0282S1963NY035001Broadalbin6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.0172043,-74.3348389
144A90P011988NY035009Broadalbin4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.043335,-74.1933365
144A40A0283S1963NY035003Broadalbin6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.0111122,-74.2505569
n/a40A0299S1963NY035002Broadalbin5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a
n/a40A0284S1963NY065001Broadalbin5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the BROADALBIN 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 BROADALBIN 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 BROADALBIN 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 BROADALBIN 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 BROADALBIN 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 BROADALBIN 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 BROADALBIN 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 flats position figure.

Soil series sharing subgroup-level classification with BROADALBIN, 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. NY-2010-09-28-26 | Saratoga County - 2004

    Typical relationship of soils and underlying material in the Broadalbin-Mosherville-Sun general soil map unit (Soil Survey of Saratoga County, New York; 2004).

Map Units

Map units containing BROADALBIN 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
Broadalbin fine sandy loam, 2 to 8 percent slopes72B95822915569sd1ny03520071:24000
Broadalbin fine sandy loam, 8 to 15 percent slopes72C41892915579sd2ny03520071:24000
Broadalbin fine sandy loam, 15 to 25 percent slopes72D19932915589sd3ny03520071:24000
Broadalbin loam, 25 to 40 percent slopes16E278319967bqyjny03520071:24000
Broadalbin-Urban land complex, 8 to 15 percent slopes117C63319318bq8lny03520071:24000
Broadalbin-Urban land complex, 3 to 8 percent slopes117B6319315bq8hny03520071:24000
Broadalbin loam, 2 to 8 percent slopesBrB526325182979svxny04320181:24000
Broadalbin loam, 8 to 15 percent slopesBrC252925182989svyny04320181:24000
Broadalbin and Lansing extremely stony soils, 0 to 25 percent slopesBsD184325183009sw0ny04320181:24000
Broadalbin loam, 15 to 25 percent slopesBrD81125182999svzny04320181:24000
Broadalbin loam, 3 to 8 percent slopesBoB12512927909tnvny05719731:24000
Broadalbin loam, 8 to 15 percent slopesBoC4112927919tnwny05719731:24000
Broadalbin loam, 15 to 25 percent slopesBoD1962927929tnxny05719731:24000
Broadalbin silt loam, 3 to 8 percent slopesBtB99792943499w94ny09119931:24000
Broadalbin-Manlius-Nassau, complex, undulatingBvB73682943529w97ny09119931:24000
Broadalbin-Manlius-Nassau, complex, rollingBvC16232943539w98ny09119931:24000
Broadalbin silt loam, 8 to 15 percent slopesBtC10822943509w95ny09119931:24000
Broadalbin silt loam, 15 to 25 percent slopesBtD3982943519w96ny09119931:24000
Broadalbin-Manlius-Nassau, complex, hillyBvD3152943549w99ny09119931:24000
Broadalbin loam, 3 to 8 percent slopesBoB150309543bd38ny09319731:15840
Broadalbin loam, 8 to 15 percent slopesBoC85309544bd39ny09319731:15840
Broadalbin loam, 15 to 25 percent slopesBoD9309545bd3bny09319731:15840

Map of Series Extent

Approximate geographic distribution of the BROADALBIN 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 .