Official Series Description


Lab Data Summary

Aggregate lab data for the HOLMDEL soil series. This aggregation is based on all pedons with a current taxon name of HOLMDEL, 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 HOLMDEL 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
149A92P047492NJ005001Holmdel6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties39.9347229,-74.7938919
149A92P047992NJ005006Holmdel6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.1305542,-74.6458359
149A92P048892NJ025003Holmdel6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.2050018,-74.5019455
149A94P020193NJ005005HOLMDEL6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.1388893,-74.6399994
149A94P020293NJ005006HOLMDEL6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties40.1402779,-74.6411133

Water Balance

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

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Competing Series

Soil series competing with HOLMDEL 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 HOLMDEL 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 HOLMDEL 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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Soil series sharing subgroup-level classification with HOLMDEL, 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 HOLMDEL 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
Adelphia-Holmdel complex, 2 to 5 percent slopesAdB1606609556ng93md00320031:12000
Adelphia-Holmdel-Urban land complex, 0 to 5 percent slopesAeB672609561ng98md00320031:12000
Adelphia-Holmdel complex, 0 to 2 percent slopesAdA4571377164m9gmd00320031:12000
Adelphia-Holmdel complex, 5 to 10 percent slopesAdC126609559ng96md00320031:12000
Adelphia-Holmdel complex, 2 to 5 percent slopesAdB191024748842p29zmd03320091:12000
Adelphia-Holmdel-Urban land complex, 0 to 5 percent slopesAeB156924748862p2b1md03320091:12000
Adelphia-Holmdel complex, 0 to 2 percent slopesAdA118424748832p29ymd03320091:12000
Adelphia-Holmdel complex, 5 to 10 percent slopesAdC51924748852p2b0md03320091:12000
Holmdel fine sandy loam, 0 to 2 percent slopesHodA8461697758rf2bnj00519671:24000
Holmdel loamy sand, 0 to 5 percent slopesHoaB4057697756rf28nj00519671:24000
Holmdel fine sandy loam, 2 to 5 percent slopesHodB2707697759rf2cnj00519671:24000
Holmdel fine sandy loam, clayey substratum, 2 to 5 percent slopesHodkB1533697761rf2fnj00519671:24000
Holmdel-Urban land complex, 0 to 5 percent slopesHofB1420697762rf2gnj00519671:24000
Holmdel fine sandy loam, clayey substratum, 0 to 2 percent slopesHodkA1384697760rf2dnj00519671:24000
Holmdel sandy loam, 0 to 2 percent slopesHocA8697757rf29nj00519671:24000
Holmdel-Urban land complex, 0 to 5 percent slopesHofB2942710870rvq9nj00719641:12000
Holmdel, clayey substratum-Urban land complex, 0 to 5 percent slopesHogB1230710871rvqbnj00719641:12000
Holmdel fine sandy loam, 0 to 2 percent slopesHodA555710869rvq8nj00719641:12000
Holmdel loamy fine sand, 0 to 5 percent slopesHobB310710868rvq7nj00719641:12000
Holmdel fine sandy loam, 0 to 2 percent slopesHodA5261353874jwbnj02319851:24000
Holmdel sandy loam, 2 to 5 percent slopesHocB45606471nc2lnj02319851:24000
Holmdel sandy loam, 0 to 2 percent slopesHocA12606470nc2knj02319851:24000
Holmdel sandy loam, 0 to 2 percent slopesHocA52901347844j7wnj02519851:24000
Holmdel sandy loam, 2 to 5 percent slopesHocB23201347854j7xnj02519851:24000
Holmdel-Urban land complex, 0 to 5 percent slopesHofB16851347864j7ynj02519851:24000

Map of Series Extent

Approximate geographic distribution of the HOLMDEL 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 .