Official Series Description


Lab Data Summary

Aggregate lab data for the LOMBARD soil series. This aggregation is based on all pedons with a current taxon name of LOMBARD, 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 LOMBARD 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
14387P009186NH007003Lombard7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.8955574,-71.4477768
14387P009286NH007004Lombard2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.981945,-71.4338913
14387P061587NH007002Lombard7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.8988876,-71.4516678

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the LOMBARD 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 LOMBARD 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 LOMBARD 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 LOMBARD 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 terrace figure.

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Competing Series

Soil series competing with LOMBARD 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 LOMBARD 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 LOMBARD 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 terrace figure.

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

Soil series sharing subgroup-level classification with LOMBARD, 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 LOMBARD 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
Lombard-Tunbridge complex, 15 to 25 percent slopes260D16222804109dshnh60720001:24000
Lombard-Tunbridge complex, 8 to 15 percent slopes260C12782804099dsgnh60720001:24000
Lombard-Tunbridge complex, 25 to 60 percent slopes260E7312804119dsjnh60720001:24000
Lombard-Tunbridge complex, 3 to 8 percent slopes260B3962804089dsfnh60720001:24000
Vershire-Lombard complex, 15 to 35 percent slopes, very stony214D364142828639hbmvt00520061:20000
Vershire-Lombard complex, 8 to 15 percent slopes, rocky14C183602828289h9hvt00520061:20000
Vershire-Lombard complex, 15 to 25 percent slopes, rocky14D182302828299h9jvt00520061:20000
Vershire-Lombard complex, 8 to 15 percent slopes, very stony214C121922828629hblvt00520061:20000
Vershire-Lombard complex, 35 to 60 percent slopes, very stony214E69562828649hbnvt00520061:20000
Vershire-Lombard complex, 3 to 8 percent slopes, rocky14B39952828279h9gvt00520061:20000
Vershire-Lombard complex, 25 to 35 percent slopes, rocky14E22042828309h9kvt00520061:20000
Vershire-Lombard complex, 3 to 8 percent slopes, very stony214B8952828619hbkvt00520061:20000
Vershire-Lombard complex, 15 to 35 percent slopes, very stony214D41014012071j127vt00920121:
Vershire-Lombard complex, 8 to 15 percent slopes, very stony214C40514012061j126vt00920121:
Vershire-Lombard complex, 3 to 8 percent slopes, very stony214B14714012051j125vt00920121:
Vershire-Lombard complex, 8 to 15 percent slopes, rocky14C8214010231j0w9vt00920121:
Vershire-Lombard complex, 3 to 8 percent slopes, rocky14B2314010221j0w8vt00920121:
Vershire-Lombard complex, 15 to 25 percent slopes, rocky14D2014010241j0wbvt00920121:
Vershire-Lombard complex, 8 to 15 percent slopes, rocky3C108182834749hzbvt01920051:20000
Vershire-Lombard complex, 8 to 15 percent slopes, very stony6C55422835179j0qvt01920051:20000
Vershire-Lombard complex, 3 to 8 percent slopes, rocky3B48742834739hz9vt01920051:20000
Vershire-Lombard complex, 15 to 35 percent slopes, very stony6D35552835189j0rvt01920051:20000
Vershire-Lombard complex, 15 to 25 percent slopes, rocky3D17422834759hzcvt01920051:20000
Vershire-Lombard complex, 3 to 8 percent slopes, very stony6B11262835169j0pvt01920051:20000

Map of Series Extent

Approximate geographic distribution of the LOMBARD 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 .