Soil Data Explorer - NETARTS

Official Series Description

Lab Data Summary

Aggregate lab data for the NETARTS soil series. This aggregation is based on all pedons with a current taxon name of NETARTS, 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 NETARTS were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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
4A	74C0138	S1974OR011015	NETARTS	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.4941673,-124.2213898
4A	74C0139	S1974OR011016	NETARTS	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.4002762,-124.257225
4A	74C0143	S1974OR011022	NETARTS	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.4002762,-124.257225

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the NETARTS 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 NETARTS series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

Select annual climate data summaries for the NETARTS 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 2024-10-23).

Geomorphic description summaries for the NETARTS 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 2024-10-23).

There are insufficient data to create the 2D hillslope position figure.

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

Competing Series

Soil series competing with NETARTS share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

Select annual climate data summaries for the NETARTS 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 2024-10-23).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the NETARTS 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 2024-10-23).

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 NETARTS, 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 2024-10-23).

Block Diagrams

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

1. WA-2012-05-11-19 | Grays Harbor County Area, Pacific County, and Wahkiakum County - July 1986

   Pattern of soils and parent material in general soil map unit 4 (Soil Survey of Grays Harbor County Area, Pacific County, and Wahkiakum County, Washington; July 1986).

Map Units

Map units containing NETARTS 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
Netarts loamy fine sand, 2 to 30 percent slopes	43D	841	61197	21p3	or011	1983	1:20000
Netarts fine sandy loam, 5 to 30 percent slopes	11D	1273	67149	27w3	or057	2006	1:24000
Netarts fine sandy loam, 30 to 60 percent slopes	11E	353	67292	280q	or057	2006	1:24000
Netarts fine sandy loam, 0 to 5 percent slopes	11B	227	67290	280n	or057	2006	1:24000
Netarts-Yaquina complex, 0 to 5 percent slopes	15B	44	67151	27w5	or057	2006	1:24000
Netarts fine sandy loam, 3 to 12 percent slopes	11C	37	67291	280p	or057	2006	1:24000
Netarts fine sand, 3 to 12 percent slopes	94C	1178	62768	239s	or637	1981	1:20000
Netarts fine sand, 12 to 30 percent slopes	94E	489	62769	239t	or637	1981	1:20000
Netarts fine sand, 12 to 30 percent slopes	47E	310	64707	25bb	or638	1990	1:20000
Netarts fine sand, 3 to 12 percent slopes	47C	260	64706	25b9	or638	1990	1:20000
Netarts fine sand, 12 to 30 percent slopes	163E	1143	66449	274j	or649	1994	1:24000
Netarts fine sand, 2 to 12 percent slopes	163C	447	66448	274h	or649	1994	1:24000
Netarts fine sand, 3 to 12 percent slopes	92	9039	73692	2gp5	wa627	1979	1:24000

Map of Series Extent

Approximate geographic distribution of the NETARTS 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 2024-10-30).