Official Series Description


Lab Data Summary

Aggregate lab data for the NAPOLI soil series. This aggregation is based on all pedons with a current taxon name of NAPOLI, 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 NAPOLI 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
14089P041188NY009003Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2941666,-78.4258347
14089P041288NY009004Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2788887,-78.3577805
14089P041388NY009005Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.3238907,-78.3675003
14089P041588NY009007Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2838898,-78.5344467
14089P041688NY009008Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2816658,-78.5305557
14089P041788NY009009Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2799988,-78.5322189
14089P041888NY009010Napoli3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.353611,-78.3144455
14091P092090NY009008Napoli4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2788887,-78.3574829
14006N0429S2005NY003016Napoli6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2661209,-77.7841873
14006N0432S2005NY003020Napoli6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2642288,-77.7904358
n/a91P092190NY009009Napoli4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a
n/a91P092290NY009010Napoli4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

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

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 NAPOLI 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 NAPOLI 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 NAPOLI 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 .

Click the image to view it full size.

Click the image to view it full size.

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 NAPOLI, 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 NAPOLI 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
Napoli silt loam, 8 to 15 percent slopes60C25370299935b23bny00320131:24000
Napoli silt loam, 3 to 8 percent slopes60B17809299934b239ny00320131:24000
Napoli silt loam, 0 to 3 percent slopes60A1457299933b238ny00320131:24000
Napoli silt loam, 15 to 25 percent slopes60D1125299936b23cny00320131:24000
Napoli silt loam, 8 to 15 percent slopes60C194062896579qdsny00920021:24000
Napoli silt loam, 3 to 8 percent slopes60B186162896569qdrny00920021:24000
Napoli silt loam, 0 to 3 percent slopes60A25302896559qdqny00920021:24000
Napoli silt loam, 15 to 25 percent slopes60D2412896589qdtny00920021:24000

Map of Series Extent

Approximate geographic distribution of the NAPOLI 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 .