Official Series Description


Lab Data Summary

Aggregate lab data for the ZADVAR soil series. This aggregation is based on all pedons with a current taxon name of ZADVAR, 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 ZADVAR 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
28B87P026987NV023002Zadvar7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.3604889,-116.363945
2973C0048S1973NV023004Zadvar7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.8699493,-116.3031082

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the ZADVAR 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 ZADVAR 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 ZADVAR 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 ZADVAR 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 flats position figure.

Competing Series

Soil series competing with ZADVAR 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 ZADVAR 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 ZADVAR 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.

There are insufficient data to create the 3D mountains figure.

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

Soil series sharing subgroup-level classification with ZADVAR, 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 ZADVAR 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
Zadvar-Wrango association40716161476929j08tnv77419851:24000
Zadvar-Stewval association407031344769282s222nv77419851:24000
Belted-Zadvar association13282079476757j038nv77419851:24000
Zadvar-Veet association407314674769302s223nv77419851:24000
Zadvar-Allker-Peeko association3468226340832rn3rnv77619831:63360
Ardivey-Zadvar association360117922157152dcmpnv77820131:24000
Zadvar-Chuckridge association146218687480762j48gnv78119941:24000
Zadvar-Unsel association146518290480765j48knv78119941:24000
Lyda-Zadvar-Unsel association180017658480813j4b3nv78119941:24000
Zadvar-Chuckridge-Watoopah association146115298480761j48fnv78119941:24000
Watoopah-Veet-Zadvar association141214932480752j484nv78119941:24000
Unsel-Zadvar association113813004480690j464nv78119941:24000
Leo-Zadvar association17069220480806j49wnv78119941:24000
Zadvar-Barnmot-Unsel association14668480480766j48lnv78119941:24000
Zadvar-Handpah association146046504807602s227nv78119941:24000
Lyda-Leo-Zadvar association18012120480814j4b4nv78119941:24000
Zadvar-Veet association14636464807632s223nv78119941:24000
Zadvar-Stewval association14645864807642s222nv78119941:24000
Zadvar-Allker-Peeko association346888626480978j4hfnv78319911:24000
Zadvar-Handpah association3460691124809752s227nv78319911:24000
Grassval-Allker-Zadvar association345047383480974j4h9nv78319911:24000
Cath-Zadvar association311028058480905j4f2nv78319911:24000
Handpah-Watoopah-Zadvar association333324767480954j4gnnv78319911:24000
Zadvar very gravelly sandy loam, 4 to 30 percent slopes346717967480977j4hdnv78319911:24000
Ardivey-Zadvar association360112708481005j4j9nv78319911:24000
Zadvar-Veet association3463123434809762s223nv78319911:24000
Armespan-Zadvar-Veet association364092764810112s23nnv78319911:24000
Chuckridge-Zadvar association34806941480984j4hmnv78319911:24000
Zadvar-Armespan-Wrango association20310267484950j8mknv79619841:63360
Armespan-Zadvar-Veet association121074604849212s23nnv79619841:63360
Zadvar-Veet-Lyda association2016616484949j8mjnv79619841:63360
Lathrop-Itme-Zadvar association2722215484975j8ncnv79619841:63360
Wrango-Zadvar-Veet association10602181484897j8kvnv79619841:63360
Handpah-Zadvar-Lyda association790983485147j8txnv79619841:63360
Zadvar-Stewval association2008694849482s222nv79619841:63360

Map of Series Extent

Approximate geographic distribution of the ZADVAR 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 .