Official Series Description


Lab Data Summary

Aggregate lab data for the DIXMONT soil series. This aggregation is based on all pedons with a current taxon name of DIXMONT, 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 DIXMONT 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
1432013NH6050362013NH605036Dixmont1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.067675,-71.8476111
144B40A0405ME-58-09-019-03Dixmont6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.8560833,-69.2814722
144B40A0406ME-58-09-019-04Dixmont6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.9333965,-69.2328235
144B40A0408ME-58-09-019-14Dixmont6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.9055556,-69.2888889

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the DIXMONT 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 DIXMONT 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 DIXMONT 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 DIXMONT 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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Competing Series

Soil series competing with DIXMONT 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 DIXMONT 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 DIXMONT 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 DIXMONT, 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 DIXMONT 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
Dixmont very stony silt loam, 3 to 8 percent slopesDyB14823503wmxmme01119741:20000
Dixmont very stony silt loam, 8 to 15 percent slopesDyC1823504wmxnme01119741:20000
Dixmont silt loam, 3 to 8 percent slopesDxB1823501wmxkme01119741:20000
Dixmont very stony silt loam, 3 to 8 percent slopesDyB77092845379k2mme02719791:20000
Dixmont silt loam, 3 to 8 percent slopesDxB35602845359k2kme02719791:20000
Dixmont very stony silt loam, 8 to 15 percent slopesDyC30712845389k2nme02719791:20000
Dixmont silt loam, 8 to 15 percent slopesDxC13352845369k2lme02719791:20000
Dixmont very stony silt loam, 0 to 8 percent slopesDyB586442847669kb0me60219671:20000
Dixmont silt loam, 0 to 8 percent slopesDxB166612847649k9yme60219671:20000
Dixmont very stony silt loam, 8 to 20 percent slopesDyC119762847679kb1me60219671:20000
Dixmont silt loam, 8 to 15 percent slopesDxC15942847659k9zme60219671:20000
Dixmont very stony silt loam, 2 to 8 percent slopesDyB478292852099ks9me61419601:20000
Dixmont silt loam, 2 to 8 percent slopesDxB68822852069ks6me61419601:20000
Dixmont very stony silt loam, 8 to 15 percent slopesDyC61372852109ksbme61419601:20000
Dixmont very stony silt loam, 0 to 2 percent slopesDyA18242852089ks8me61419601:20000
Dixmont silt loam, 8 to 15 percent slopesDxC5282852079ks7me61419601:20000
Dixmont silt loam, 0 to 2 percent slopesDxA3372852059ks5me61419601:20000
Dixmont-Bangor association, undulating, very stony779B45232806099dzxnh60720001:24000
Bangor-Dixmont association, undulating, very stony773B24562806069dztnh60720001:24000
Dixmont very fine sandy loam, 8 to 15 percent slopes, very stony579C15962805229dx3nh60720001:24000
Bangor-Dixmont association, hilly, very stony773D13442806079dzvnh60720001:24000
Dixmont-Bangor association, hilly, very stony779D8542806109dzynh60720001:24000
Dixmont very fine sandy loam, 15 to 25 percent slopes, very stony579D6132805239dx4nh60720001:24000
Dixmont very fine sandy loam, 3 to 8 percent slopes, very stony579B6032805219dx2nh60720001:24000
Dixmont very fine sandy loam, 3 to 8 percent slopes578B2762805189dwznh60720001:24000
Dixmont very fine sandy loam, 8 to 15 percent slopes578C1732805199dx0nh60720001:24000

Map of Series Extent

Approximate geographic distribution of the DIXMONT 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 .