Soil Data Explorer - SARTELL

Official Series Description

Lab Data Summary

Aggregate lab data for the SARTELL soil series. This aggregation is based on all pedons with a current taxon name of SARTELL, 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 SARTELL 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
88	UMN2911	S1979MN0612911	Sartell	2	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	47.8794098,-93.2433777
88	UMN3397	S1980MN137029 (3397)	Sartell	2	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	47.4292488,-92.3584595
91A	UMN3365	S1980MN097028 (3365)	Sartell	1	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.8961983,-94.2809143
91B	40A1699	S1960MN141004	Sartell	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.5161018,-93.8594055
91B	UMN1223	S1965MN0031223	Sartell	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	45.3780479,-93.1633606

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the SARTELL 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 SARTELL 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 SARTELL 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 SARTELL 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 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 SARTELL 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 SARTELL 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 SARTELL 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 SARTELL, 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 SARTELL 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
Sartell fine sand, 2 to 6 percent slopes	SbB	9834	395966	f913	mn003	1972	1:15840
Sartell fine sand, 6 to 12 percent slopes	SbC	1709	395967	f914	mn003	1972	1:15840
Sartell fine sand, 12 to 24 percent slopes, eroded	SbD2	503	395969	f916	mn003	1972	1:15840
Sartell fine sand, 6 to 12 percent slopes, eroded	SbC2	346	395968	f915	mn003	1972	1:15840
Sartell loamy fine sand, 1 to 6 percent slopes	328B	979	397626	fbrn	mn007	1991	1:24000
Sartell, till substratum-Bushville complex, 1 to 6 percent slopes	C42B	648	753009	t8km	mn009	2007	1:12000
Sartell fine sand, till substratum, 6 to 12 percent slopes	C62C	77	753008	t8kl	mn009	2007	1:12000
Sartell fine sand, 1 to 6 percent slopes	328B	8622	396569	f9nk	mn025	1990	1:15840
Sartell fine sand, 12 to 25 percent slopes	328D	1208	396571	f9nm	mn025	1990	1:15840
Sartell fine sand, 6 to 12 percent slopes	328C	1163	396570	f9nl	mn025	1990	1:15840
Sartell loamy fine sand, 1 to 6 percent slopes	328B	3237	400385	ffmn	mn097	1987	1:20000
Sartell loamy fine sand, 6 to 12 percent slopes	328C	336	400386	ffmp	mn097	1987	1:20000
Sartell fine sand, 2 to 6 percent slopes	ZaB	763	428062	gcfg	mn139	1988	1:20000
Sartell fine sand, 6 to 12 percent slopes, moderately eroded	ZaC2	431	428064	gcfj	mn139	1988	1:20000
Sartell fine sand, 0 to 2 percent slopes	ZaA	306	428060	gcfd	mn139	1988	1:20000
Sartell fine sand, 2 to 6 percent slopes, moderately eroded	ZaB2	176	428063	gcfh	mn139	1988	1:20000
Sartell fine sand, 0 to 2 percent slopes, moderately eroded	ZaA2	50	428061	gcff	mn139	1988	1:20000

Map of Series Extent

Approximate geographic distribution of the SARTELL 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).