Soil Data Explorer - ANKENY

Official Series Description

Lab Data Summary

Aggregate lab data for the ANKENY soil series. This aggregation is based on all pedons with a current taxon name of ANKENY, 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 ANKENY 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
104	X45-136-1	S1965IA089908	Ankeny	1	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.42435,-92.0948
104	X45-136O-2	S1965IA089909	Ankeny	2	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.33094,-92.21778
104	UMN2561	S1978MN0372561	Ankeny	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	44.5085487,-93.067688
104	X53-136-1	S1983IA105009	Ankeny	2	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	42.2694944,-91.1980967
105	X22-136-1	S1975IA043001	Ankeny	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	42.8520394,-91.3930603
105	X3-136C-2	S1985IA005004	Ankeny	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.4496298,-91.3019334
105	X3-136B-1	S1985IA005101	Ankeny	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.4527022,-91.3080182

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the ANKENY 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 ANKENY series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-02) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the ANKENY 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 ANKENY 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 mountains figure.

Competing Series

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

Select annual climate data summaries for the ANKENY 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).

Geomorphic description summaries for the ANKENY 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 3D mountains figure.

Soil series sharing subgroup-level classification with ANKENY, 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 ANKENY 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
Ankeny fine sandy loam, 0 to 2 percent slopes, occasionally flooded	136	99	2229955	2dvg1	ia029	2010	1:12000
Ankeny fine sandy loam, 0 to 2 percent slopes, rarely flooded	136	690	1859469	30qvp	ia031	2008	1:12000
Ankeny fine sandy loam, 0 to 2 percent slopes	136	381	404205	fklw	ia043	1979	1:15840
Ankeny fine sandy loam, 0 to 2 percent slopes, rarely flooded	136A	383	407011	30qvp	ia089	1969	1:15840
Ankeny fine sandy loam, 0 to 2 percent slopes, rarely flooded	136	456	408088	30qvp	ia105	1988	1:15840
Ankeny-Urban land complex, 0 to 2 % slopes, rarely flooded	4136	238	2606450	2qcry	ia113	1970	1:15840
Ankeny fine sandy loam, 0 to 2 percent slopes, rarely flooded	136	1044	409920	30qvp	ia139	1986	1:15840
Ankeny fine sandy loam, 2 to 5 percent slopes	136B	219	412833	fvl6	ia153	1993	1:12000
Ankeny fine sandy loam, 2 to 5 percent slopes	136B	594	411280	fsz3	ia169	1981	1:15840
Ankeny fine sandy loam, 0 to 2 percent slopes, rarely flooded	136	241	798144	vsjl	ia187	2006	1:12000
Ankeny fine sandy loam, 2 to 5 percent slopes	136B	377	1428052	30qvq	ia191	2005	1:12000
Ankeny-Zumbro complex, 0 to 3 percent slopes, occasionally flooded	N622A	1915	1675883	1t7wr	mn049	2007	1:12000
Ankeny fine sandy loam, 0 to 2 percent slopes, rarely flooded	44	860	400462	30qvp	mn099	1986	1:15840
Ankeny sandy loam, 0 to 3 percent slopes	44	748	429667	gf37	mn131	1996	1:12000
Ankeny fine sandy loam	Ao	88	426036	g9b3	wi077	1969	1:20000

Map of Series Extent

Approximate geographic distribution of the ANKENY 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).