Official Series Description


Lab Data Summary

Aggregate lab data for the MAZOURKA soil series. This aggregation is based on all pedons with a current taxon name of MAZOURKA, 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 MAZOURKA were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Click the image to view it full size.

Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
3086P080886CA027001Mazourka7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.7877769,-118.1050034
3086P080986CA027002Mazourka7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.7916679,-118.1186142

Water Balance

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

Click the image to view it full size.



Click the image to view it full size.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the MAZOURKA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

Click the image to view it full size.

Select annual climate data summaries for the MAZOURKA series and siblings. 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 MAZOURKA 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 .

Click the image to view it full size.

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

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

Click the image to view it full size.

Click the image to view it full size.

Competing Series

Soil series competing with MAZOURKA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

Click the image to view it full size.

Select annual climate data summaries for the MAZOURKA 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 MAZOURKA 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.

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.

Click the image to view it full size.

Soil series sharing subgroup-level classification with MAZOURKA, 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

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

  1. CA-2010-08-30-08 | Benton-Owens Valley Area, Parts of Inyo and Mono Counties - 2002

    Typical pattern of soils on the eastern side of the Owens Valley and in the Inyo Mountains (Soil Survey of Benton-Owens Valley Area, California, Parts of Inyo and Mono Counties; 2002).

Map Units

Map units containing MAZOURKA 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
Mazourka-Slickspots-Cajon complex, 0 to 2 percent slopes259bo1923906582l7p0ca76319841:24000
Mazourka-Eclipse complex, 0 to 2 percent slopes25715589488197jd09ca80219961:24000
Mazourka-Pokonahbe complex, 0 to 2 percent slopes2586604488198jd0bca80219961:24000
Mazourka-Slickspots-Eclipse complex, 0 to 2 percent slopes2605707488201jd0fca80219961:24000
Cajon-Mazourka-Eclipse complex, 0 to 2 percent slopes1484838488041jcv8ca80219961:24000
Mazourka-Slickspots-Cajon complex, 0 to 2 percent slopes2592422488199jd0cca80219961:24000
Yellowrock-Mazourka complex, 0 to 2 percent slopes3732329488335jd4rca80219961:24000
Mazourka loamy sand, 2 to 5 percent slopes2541959488192jd04ca80219961:24000
Mazourka loamy sand, 0 to 2 percent slopes2531523488191jd03ca80219961:24000
Cajon-Mazourka complex, 0 to 2 percent slopes1471030488040jcv7ca80219961:24000
Mazourka hard substratum-Mazourka-Eclipse complex, 0 to 2 percent slopes261793488203jd0hca80219961:24000
Poleta-Mazourka complex, 0 to 2 percent slopes292710488247jd1xca80219961:24000
Poleta-Mazourka-Eclipse complex, 0 to 2 percent slopes293625488248jd1yca80219961:24000
Mazourka very gravelly sand, hard substratum, 2 to 5 percent slopes255565488194jd06ca80219961:24000
Poleta-Mazourka-Slickspots complex, 0 to 2 percent slopes294556488249jd1zca80219961:24000
Mazourka-Cajon complex, 0 to 2 percent slopes256529488196jd08ca80219961:24000

Map of Series Extent

Approximate geographic distribution of the MAZOURKA 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 .