Official Series Description


Lab Data Summary

Aggregate lab data for the ISCHUA soil series. This aggregation is based on all pedons with a current taxon name of ISCHUA, 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 ISCHUA 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
14004N0371S03NY003008Ischua6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties42.2524986,-78.1141434
n/a91P091790NY009005Ischua4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the ISCHUA 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 ISCHUA 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 ISCHUA 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 ISCHUA 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 ISCHUA 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 ISCHUA 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 ISCHUA 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 terrace figure.

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

Soil series sharing subgroup-level classification with ISCHUA, 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 ISCHUA 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
Ischua channery silt loam, 15 to 25 percent slopes11D14272299728b1wnny00320131:24000
Ischua channery silt loam, 25 to 35 percent slopes11E10582299729b1wpny00320131:24000
Ischua channery silt loam, 8 to 15 percent slopes11C7652299727b1wmny00320131:24000
Ischua channery silt loam, 3 to 8 percent slopes11B4602299726b1wlny00320131:24000
Mongaup and Ischua channery silt loams, 35 to 65 percent slopes, extremely stony71F3939299965b249ny00320131:24000
Ischua channery silt loam, 35 to 50 percent slopes11F3172299730b1wqny00320131:24000
Mongaup and Ischua channery silt loams, 25 to 35 percent slopes, extremely stony71E2131299964b248ny00320131:24000
Mongaup and Ischua channery silt loams, 15 to 25 percent slopes, extremely stony71D770299963b247ny00320131:24000
Ischua channery silt loam, 15 to 25 percent slopes11D128752895179q88ny00920021:24000
Ischua channery silt loam, 8 to 15 percent slopes11C126872895169q87ny00920021:24000
Ischua channery silt loam, 3 to 8 percent slopes11B104442895159q86ny00920021:24000
Ischua channery silt loam, 25 to 35 percent slopes11E98492895189q89ny00920021:24000
Ischua channery silt loam, 35 to 50 percent slopes11F31252895199q8bny00920021:24000
Mongaup-Ischua complex, 15 to 25 percent slopes, very stony181D309131057662y9xyny05120191:24000
Mongaup-Ischua complex, 25 to 35 percent slopes, extremely stony181E149131057672y9xzny05120191:24000
Mongaup-Ischua complex, 35 to 70 percent slopes, extremely stony181F53031057682y9y0ny05120191:24000
Ischua silt loam, 8 to 15 percent slopes162C92914595381kzrwny06519931:24000
Ischua silt loam, 15 to 25 percent slopes162D44714595441kzs2ny06519931:24000
Ischua silt loam, 3 to 8 percent slopes162B12914595361kzrtny06519931:24000
Mongaup-Ischua complex, 15 to 25 percent slopes, very stony181D314625049332pq3hny06920121:12000
Mongaup-Ischua complex, 8 to 15 percent slopes181C228225049352pq3kny06920121:12000
Mongaup-Ischua complex, 25 to 35 percent slopes, extremely stony181E189325124252q9m4ny06920121:12000
Mongaup-Ischua complex, 3 to 8 percent slopes181B83225049342pq3jny06920121:12000
Mongaup-Ischua complex, 25 to 35 percent slopes, extremely stony181E137432503572q9m4ny12319481:12000
Mongaup-Ischua complex, 15 to 25 percent slopes, very stony181D115532503352pq3hny12319481:12000
Mongaup-Ischua complex, 8 to 15 percent slopes181C74132503472pq3kny12319481:12000
Mongaup-Ischua complex, 3 to 8 percent slopes181B1632503462pq3jny12319481:12000

Map of Series Extent

Approximate geographic distribution of the ISCHUA 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 .