Official Series Description


Lab Data Summary

Aggregate lab data for the IRVINGTON soil series. This aggregation is based on all pedons with a current taxon name of IRVINGTON, 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 IRVINGTON 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
133A40A5075S1953FL033006IRVINGTON4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.7218876,-87.4950104
133A40A5076S1953FL033007IRVINGTON4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.9435482,-87.5064011

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the IRVINGTON 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 IRVINGTON 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 IRVINGTON 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 IRVINGTON 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 IRVINGTON 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 IRVINGTON series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the IRVINGTON 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 .

There are insufficient data to create the 2D hillslope position figure.

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 IRVINGTON, 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 IRVINGTON 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
Irvington loam, 0 to 2 percent slopesIrA6034328149c0ggal00319611:20000
Irvington loam, 2 to 5 percent slopesIrB786328150c0ghal00319611:20000
Irvington fine sandy loam, 0 to 2 percent slopesIrA3228329339c1pval05319691:20000
Irvington fine sandy loam, 2 to 5 percent slopesIrB6033293402x5rmal05319691:20000
Irvington fine sandy loam, 5 to 8 percent slopesIrC21229949852x5rnal09720181:24000
Irvington fine sandy loam, 2 to 5 percent slopesIrB5529949842x5rmal09720181:24000
Irvington fine sandy loam, 5 to 8 percent slopesIgC1029926420902x5rnal12920131:24000
Irvington fine sandy loam, 2 to 5 percent slopesIgB649926420892x5rmal12920131:24000
Irvington fine sandy loam, 0 to 2 percent slopesIgA117726420882rjrwal12920131:24000
Irvington loamy sand, 0 to 2 percent slopesIjA2875324541bwq2ga03119651:20000
Irvington sandy loam, 0 to 2 percent slopesIgA2815324639bwt7ga09519651:20000
Irvington loamy sand, 0 to 2 percent slopesIjA1737512492145zqga22919651:20000
Irvington (clarendon) loamy sand, thick surface, 0 to 2 percent slopesIhA7630125080464vga30519621:20000
Irvington (clarendon) loamy sand, thick surface, 2 to 5 percent slopesIhB1420125081464wga30519621:20000
Irvington loamy sandIj16595125135466mga60119691:20000
Irvington loamy sand, 0 to 3 percent slopesIjA3639325206bxdjga60819651:20000
Irvington loamy sand, 0 to 3 percent slopesIjA2338512534846fhga60919671:20000
Irvington loamy sand, 0 to 2 percent slopesIgA6855325530bxqzga61719761:20000
Irvington loamy sandIj9695325557bxrvga62719701:20000
Irvington loamy sand, 0 to 2 percent slopesIgA11590326000by74ga64319741:20000
Irvington sandy loamIg5895326029by82ga64619711:20000
Irvington loamy sandIj3505326056by8yga64719701:20000
Irvington sandy loamIg7705326259byhhga65219691:20000
Irvington fine sandy loam, 2 to 5 percent slopesIrB561926421932x5rmms04120121:24000
Irvington fine sandy loam, 5 to 8 percent slopesIrC44526421942x5rnms04120121:24000
Irvington fine sandy loam, 0 to 5 percent slopesMA5424333611c64nms11119971:20000
Irvington fine sandy loam, 2 to 5 percent slopesIrB1431924034682x5rmms15320081:24000

Map of Series Extent

Approximate geographic distribution of the IRVINGTON 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 .