Soil Data Explorer - WET ALLUVIAL LAND

Official Series Description

Lab Data Summary

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

There are insufficient data to create the lab data summary figure.

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the WET ALLUVIAL LAND 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.

There are insufficient data to create the water balance bar figure.

There are insufficient data to create the water balance line figure.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the WET ALLUVIAL LAND 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).

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the WET ALLUVIAL LAND 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).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the WET ALLUVIAL LAND 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 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.

Competing Series

Soil series competing with WET ALLUVIAL LAND 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).

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the WET ALLUVIAL LAND 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 WET ALLUVIAL LAND 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 WET ALLUVIAL LAND, 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).

This figure is not available.

Block Diagrams

No block diagrams are available.

Map Units

Map units containing WET ALLUVIAL LAND 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
Wet alluvial land	Wa	593	460160	hftw	ca607	1967	1:20000
Wet alluvial land	WaB	626	462302	hj1z	ca624	1968	1:20000
Wet alluvial land	WeD	770	458403	hd06	ca679	1967	1:15840
Wet alluvial land	Wt	2740	94101	34xj	co001	1968	1:20000
Wet alluvial land	Wt	2005	94174	34zw	co005	1971	1:20000
Wet alluvial land	Wt	2112	110501	3pzk	co087	1965	1:24000
Wet alluvial land	Wt	5968	94967	35tg	co115	1969	1:15840
Wet alluvial land	Wb	3587	95349	366s	co624	1963	1:20000
Wet alluval land	Wa	4079	498572	jqsz	co632	1968	1:24000
Wet alluvial land	Wtl	7935	124656	45q5	ga191	1960	1:20000
Wet alluvial land	Wtl	19580	325095	bx8y	ga289	1960	1:20000
Wet alluvial land (kinston)	Avp	20560	125060	4646	ga305	1962	1:20000
Wet alluvial land	Wt	534	190518	6d7r	mi029	1970	1:15840
Wet alluvial land	Wt	1057	189381	6c22	mi047	1968	1:20000
Wet alluvial land	WE	1664	146958	4xxl	mt600	1969	1:24000
Wet alluvial land	Wa	3474	326960	bz73	pr689	1969	1:20000
Wet alluvial land	Wt	1315	484713	j8cx	ut640	1967	1:20000
Wet alluvial land	Ww	1446	426026	g99s	wi089	1967	1:15840
Wet alluvial land	Ww	2767	425691	g8yz	wi127	1967	1:15840
Wet alluvial land	Ww	2168	425793	g928	wi131	1967	1:15840
Wet alluvial land	Ww	2146	424127	g7bj	wi601	1967	1:15840
Wet alluvial land	Ww	2488	425941	g971	wi602	1967	1:15840
Wet alluvial land	Wa	2829	157405	58sl	wy613	1969	1:20000

Map of Series Extent

Approximate geographic distribution of the WET ALLUVIAL LAND 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).