Official Series Description


Lab Data Summary

Aggregate lab data for the VLY soil series. This aggregation is based on all pedons with a current taxon name of VLY, 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 VLY 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
14093P0628S1993NY025003Vly6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.3790283,-74.831749
14016N0624S2015NY111002Vly6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.9981667,-74.3858611
14017N0124S2016NY039001Vly6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2661639,-74.4754278
14017N0126S2016NY111001Vly6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.0914028,-74.489625

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the VLY 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 VLY 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 VLY 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 VLY 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.

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

Competing Series

Soil series competing with VLY 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 VLY 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 VLY 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 hills figure.

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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 VLY, 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-2010-09-28-08 | Delaware County - 2006

    The landscape pattern of upland soils developed in coarse loamy glacial till and ground water flow patterns (arrow shows general flow direction) (Soil Survey of Delaware County, New York; 2006).

  2. NY-2010-09-28-11 | Delaware County - 2006

    Typical pattern of soils and geologic materials in the Willowemoc-Lewbeach-Onteora and the Vly-Halcott-Mongaup general soil map units (Soil Survey of Delaware County, New York; 2006).

  3. NY-2010-09-28-18 | Otsego County - 2006

    Typical pattern of soils and underlying material in the Vly-Willowemoc-Lewbeach general soil map unit (Soil Survey of Otsego County, New York; 2006).

Map Units

Map units containing VLY 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
Vly channery silt loam, 25 to 35 percent slopes122E4224299738b1wzny00320131:24000
Vly channery silt loam, 15 to 25 percent slopes122D3789299737b1wyny00320131:24000
Vly channery silt loam, 8 to 15 percent slopes122C2759299736b1wxny00320131:24000
Vly channery silt loam, 35 to 55 percent slopes122F2015299739b1x0ny00320131:24000
Vly channery silt loam, 3 to 8 percent slopes122B1775299735b1wwny00320131:24000
Halcott, Mongaup, and Vly soils, 15 to 35 percent slopes, very rockyHcE868492904859r8hny02519991:24000
Halcott, Mongaup, and Vly soils, 35 to 70 percent slopes, very rockyHcF639772904869r8jny02519991:24000
Halcott, Mongaup, and Vly soils, 2 to 15 percent slopes, very rockyHcC474412904849r8gny02519991:24000
Elka-Vly channery silt loams, 15 to 35 percent slopes, very stonyElE256842904819r8cny02519991:24000
Vly channery silt loam, 8 to 15 percent slopesVlC138522905729rc9ny02519991:24000
Elka-Vly channery silt loams, 35 to 70 percent slopes, very stonyElF93382904829r8dny02519991:24000
Vly channery silt loam, 15 to 25 percent slopesVlD89362905739rcbny02519991:24000
Vly channery silt loam, 2 to 8 percent slopesVlB83092905719rc8ny02519991:24000
Elka-Vly channery silt loams, 3 to 15 percent slopes, very stonyElC36772904809r8bny02519991:24000
Vly channery silt loam, 25 to 40 percent slopesVlE35352905749rccny02519991:24000
Elka-Vly channery silt loams, 5 to 15 percent slopesEkC23302904789r88ny02519991:24000
Elka-Vly channery silt loams, 15 to 25 percent slopesEkD10692904799r89ny02519991:24000
Vly-Halcott complex, very steep, very rockyVhF450272917399skyny03919851:24000
Vly-Halcott complex, 15 to 35 percent slopes, very rockyVhD447412917389skxny03919851:24000
Vly-Halcott complex, 3 to 15 percent slopes, very rockyVhC134242917379skwny03919851:24000
Halcott-Vly complex, rollingHlC20172916379sgnny03919851:24000
Halcott-Vly complex, 15 to 25 percent slopesHlD6342916389sgpny03919851:24000
Vly very channery silt loam, 15 to 25 percent slopesVeD4142917369skvny03919851:24000
Vly very channery silt loam, 8 to 15 percent slopesVeC4082917359sktny03919851:24000
Halcott-Vly complex, 25 to 45 percent slopesHlE3842916399sgqny03919851:24000
Vly very channery silt loam, 3 to 8 percent slopesVeB2892917349sksny03919851:24000
Vly channery silt loam, 8 to 15 percent slopes, rockyVlC17662943059w7qny07719931:24000
Vly channery silt loam, 25 to 45 percent slopes, rockyVlE17262943079w7sny07719931:24000
Vly channery silt loam, 15 to 25 percent slopes, rockyVlD15912943069w7rny07719931:24000
Vly channery silt loam, 1 to 8 percent slopes, rockyVlB15332943049w7pny07719931:24000
Vly channery loam, 25 to 60 percent slopes, very rockyVlsF729829442572wzkvpa10519531:24000
Vly channery loam, 15 to 25 percent slopesVlD273024337332wbpmpa10519531:24000
Vly channery loam, 8 to 15 percent slopesVlC212124337342wbplpa10519531:24000
Vly channery loam, 3 to 8 percent slopesVlB193924337352wbpkpa10519531:24000
Vly channery loam, 35 to 60 percent slopesVlF93724337312wzkxpa10519531:24000
Vly channery loam, 25 to 35 percent slopesVlE54124337322wzkwpa10519531:24000
Vly channery loam, 15 to 25 percent slopes, very rockyVlsD39929442582wzktpa10519531:24000
Vly channery loam, 3 to 15 percent slopes, extremely stonyVlsC25329442562wzkspa10519531:24000

Map of Series Extent

Approximate geographic distribution of the VLY 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 .