Official Series Description


Lab Data Summary

Aggregate lab data for the NEWPORT soil series. This aggregation is based on all pedons with a current taxon name of NEWPORT, 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 NEWPORT 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
144A08N0528S08-RI005-001-NewportNewport7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.5271378,-71.3677139
144A40A5413S1958RI005001Newport6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.5169258,-71.2394714
144A40A5414S1958RI009001Newport6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.4416504,-71.4503174
144A95P0007S1994MA023004Newport7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties41.8598595,-70.9530563
144B80P043680VT025001Newport7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties43.0319443,-72.476387

Water Balance

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

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Competing Series

Soil series competing with NEWPORT 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 NEWPORT series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the NEWPORT 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 NEWPORT, 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 NEWPORT 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
Newport-Urban land complex, 3 to 15 percent slopes627C40252769319958ma01719911:24000
Newport channery fine sandy loam, 8 to 25 percent slopes325D475796422vqr1ma01719911:24000
Newport loam, 8 to 15 percent slopes325C279309379bcxzma02320101:12000
Newport - Urban land complex, 8 to 15 percent slopes627C222309501bd1xma02320101:12000
Newport loam, 15 to 35 percent slopes325E141309380bcy0ma02320101:12000
Newport loam, 3 to 8 percent slopes325B133309378bcxyma02320101:12000
Newport loam, 3 to 8 percent slopes, very stony326B126309383bcy3ma02320101:12000
Newport loam, 8 to 15 percent slopes, very stony326C97309382bcy2ma02320101:12000
Newport loam, 15 to 35 percent slopes, very stony326E12309381bcy1ma02320101:12000
Newport loam, 3 to 8 percent slopes325B1033779996v5n5ma60319791:20000
Newport loam, 3 to 15 percent slopes, very stony326C20327723499h1ma60319791:20000
Newport-Urban land complex, 3 to 15 percent slopes627C4955791766vkwvma61619851:25000
Newport silt loam, 15 to 25 percent slopes325D1330791764vkwsma61619851:25000
Newport silt loam, 3 to 8 percent slopes325B610791758vkwlma61619851:25000
Newport silt loam, 8 to 15 percent slopes325C485791762vkwqma61619851:25000
Newport silt loam, 3 to 8 percent slopesNeB104932862589lw4ri60019771:12000
Newport silt loam, 0 to 3 percent slopesNeA52552862579lw3ri60019771:12000
Newport-Urban land complexNP52432862519lvxri60019771:12000
Newport silt loam, 8 to 15 percent slopesNeC26122862599lw5ri60019771:12000
Newport very stony silt loam, 3 to 8 percent slopesNfB14812862609lw6ri60019771:12000
Newport extremely stony silt loam, 3 to 15 percent slopesNoC5902862619lw7ri60019771:12000

Map of Series Extent

Approximate geographic distribution of the NEWPORT 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 .