Soil Data Explorer - NAXING

Official Series Description

Lab Data Summary

Aggregate lab data for the NAXING soil series. This aggregation is based on all pedons with a current taxon name of NAXING, 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 NAXING were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
6	93P0197	S1992WA037011	Naxing	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	47.2502785,-120.3683319
6	05N0038	S2004WA037001	Naxing	7	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	47.2333336,-120.2944412

Water Balance

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

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the NAXING series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-06) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the NAXING series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2023-10-09).

Geomorphic description summaries for the NAXING 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 (updated 2023-10-04).

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 NAXING share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-06) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the NAXING series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2023-10-09).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the NAXING 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 (updated 2023-10-04).

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 NAXING, 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 (updated 2023-10-02).

Block Diagrams

No block diagrams are available.

Map Units

Map units containing NAXING 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
Naxing very stony loam, 30 to 60 percent slopes	211	2032	67640	28cy	wa608	1995	1:24000
Naxing very stony loam, 5 to 30 percent slopes	210	672	67629	28cl	wa608	1995	1:24000
Tiptop-Naxing association, 30 to 60 percent slopes*	326	250	67896	28n6	wa608	1995	1:24000
Naxing ashy loam, 25 to 45 percent slopes	3	8805	76788	2kx1	wa637	2008	1:24000
Naxing ashy loam, 0 to 25 percent slopes	9	2709	77279	2ldw	wa637	2008	1:24000
Naxing gravelly ashy loam, 45 to 65 percent slopes, stony	4	2680	76837	2kym	wa637	2008	1:24000
Naxing stony ashy loam, 25 to 45 percent slopes	1942	6490	1701230	1v38d	wa676	2014	1:12000
Naxing very gravelly ashy sandy loam, 5 to 25 percent slopes	1941	4270	1701228	1v38b	wa676	2014	1:12000
Naxing very gravelly ashy sandy loam, 45 to 65 percent slopes	1943	370	1701232	1v38g	wa676	2014	1:12000
Naxing stony loam, 25 to 45 percent slopes	88	10954	69060	29vr	wa677	1979	1:24000
Naxing loam, 5 to 25 percent slopes	87	8051	69059	29vq	wa677	1979	1:24000
Naxing stony loam, 45 to 65 percent slopes	89	2342	69061	29vs	wa677	1979	1:24000
Naxing very gravelly ashy sandy loam, 45 to 65 percent slopes	74	7046	75626	2jpk	wa680	2003	1:24000
Darland-Naxing complex, 15 to 55 percent slopes	26	5504	75403	2jgc	wa680	2003	1:24000
Naxing very gravelly ashy sandy loam, 25 to 45 percent slopes	73	3124	75624	2jph	wa680	2003	1:24000
Naxing-Snowplow complex, 5 to 25 percent slopes	76	2251	75633	2jps	wa680	2003	1:24000
Naxing very gravelly ashy sandy loam, 5 to 25 percent slopes	72	1764	75621	2jpd	wa680	2003	1:24000
Naxing-Snowplow complex, 25 to 45 percent slopes	77	1320	75637	2jpx	wa680	2003	1:24000
Bocker-Naxing complex, 5 to 25 percent slopes	17	680	75378	2jfk	wa680	2003	1:24000
Naxing-Darland-Cryaquolls complex, 0 to 50 percent slopes	75	551	75631	2jpq	wa680	2003	1:24000

Map of Series Extent

Approximate geographic distribution of the NAXING 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 (updated 2023-10-04).