Official Series Description


Lab Data Summary

Aggregate lab data for the LYME soil series. This aggregation is based on all pedons with a current taxon name of LYME, 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 LYME 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
1432014NH6050062014NH605006Lyme1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.1107639,-71.8179111
1432014NH6050532014NH605053Lyme1Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties44.1070806,-71.828825

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the LYME 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 LYME 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 LYME 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 LYME 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 LYME 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 LYME 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 LYME 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 LYME, 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. NH-2012-02-14-06 | Cheshire County - June 1989

    Typical landscape pattern of soils and underlying material in the Berkshire-Tunbridge-Lyman general soil map unit (Soil Survey of Cheshire County, New Hampshire; June 1989).

  2. NH-2012-02-14-13 | Grafton County Area - 1999

    Typical pattern of soils and underlying material in the Becket-Monadnock-Hermon unit (Soil Survey of Grafton County Area, New Hampshire; 1999).

  3. NY-2010-09-28-27 | Saratoga County - 2004

    Typical relationship of soils and underlying material in the Berkshire-Becket-Tunbridge general soil map unit, which is generally at an elevation above 1,000 feet (Soil Survey of Saratoga County, New York; 2004).

  4. NY-2012-02-15-50 | Warren County - January 1989

    Typical relationship of soils and underlying deposits in the Bice-Woodstock general soil map unit, which is generally at an elevation of about 1,000 to 1,500 feet (Soil Survey of Warren County, New York; January 1989).

  5. NY-2012-02-15-51 | Warren County - January 1989

    Typical relationship of soils and underlying deposits in the Hermon-Marlow general soil map unit, which is generally at an elevation above 1,500 feet (Soil Survey of Warren County, New York; January 1989).

Map Units

Map units containing LYME 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
Lyme fine sandy loam, 0 to 8 percent slopes, very stony83B12424943292trsdma01120121:12000
Lyme and Moosilauke soils, 0 to 5 percent slopes, very stony347B95042796499czynh00519851:20000
Lyme and Moosilauke soils, 3 to 8 percent slopes, very stony347B61472811059fhxnh00919861:24000
Waumbek-Lyme association, undulating, very stony729B22272811879flknh00919861:24000
Lyme and Moosilauke soils, 0 to 3 percent slopes, very stony347A19992811049fhwnh00919861:24000
Lyme-Peacham association, very stony71717162811759fl5nh00919861:24000
Lyme-Moosilauke stony loams, 0 to 3 percent slopesLyA72802797789d43nh01919811:20000
Lyme-Moosilauke stony loams, 3 to 8 percent slopesLyB30982797799d44nh01919811:20000
Lyme-Moosilauke loams, 0 to 3 percent slopesLuA12872797779d42nh01919811:20000
Lyme fine sandy loam, 0 to 8 percent slopes, very stony247B80212791792trsdnh60219831:20000
Lyme fine sandy loam, 0 to 8 percent slopes246B3432791782trscnh60219831:20000
Lyme fine sandy loam, 0 to 8 percent slopes, very stony247B57722804062trsdnh60720001:24000
Lyme fine sandy loam, 8 to 15 percent slopes, very stony247C5072804072trsfnh60720001:24000
Lyme fine sandy loam, 0 to 8 percent slopes246B122804042trscnh60720001:24000
Adirondack-Tughill-Lyme complex, 0 to 8 percent slopes, very bouldery709B11325216619wvbny03320181:24000
Berkshire-Lyme complex, rolling, very bouldery644C7825216259wv8ny03320181:24000
Adirondack-Tughill-Lyme complex, 0 to 8 percent slopes, very bouldery709B174972948829wvbny08919901:24000
Berkshire-Lyme complex, rolling, very bouldery644C174562948809wv8ny08919901:24000
Lyme-Tughill complex, very boulderyLt51322949679wy2ny08919901:24000
Berkshire-Lyme complex, rolling, very boulderyBgC36652949119ww8ny08919901:24000
Berkshire-Lyme complex, hilly, very bouldery644D25782948819wv9ny08919901:24000
Lyme fine sandy loam, very stonyLY23472943919wbhny09119931:24000
Lyme very stony fine sandy loam, nearly levelLyA123002959009xx5ny11319821:15840
Lyme fine sandy loam, 0 to 3 percent slopesLnA3802958999xx4ny11319821:15840
Lyme fine sandy loam, 0 to 8 percent slopes, very stony122B22262821302trsdvt02119851:20000
Lyme fine sandy loam, 8 to 15 percent slopes, very stony122C9752821312trsfvt02119851:20000

Map of Series Extent

Approximate geographic distribution of the LYME 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 .