Official Series Description


Lab Data Summary

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

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
5783P064082MN061001Itasca7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.184166,-93.6038895
57UMN1212S1970MN0611212Itasca3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.1836128,-93.6030579
57UMN2213S1976MN0612213Itasca3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.241272,-93.4295273
57UMN2330S1976MN0612330Itasca3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.2294807,-93.4470978
57UMN2550S1978MN0612550Itasca2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.3403435,-93.6424713
57UMN2552S1978MN0612552Itasca2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.3606567,-93.6906281
57UMN2997S1979MN1372997Itasca2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties47.2164955,-93.0563279

Water Balance

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

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Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the ITASCA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

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

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Geomorphic description summaries for the ITASCA 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 .

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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 ITASCA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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

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Geomorphic description summaries for the ITASCA 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 .

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Click the image to view it full size.

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

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

Click the image to view it full size.

Soil series sharing subgroup-level classification with ITASCA, 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 .

Block Diagrams

No block diagrams are available.

Map Units

Map units containing ITASCA 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
Itasca-Goodland complex, 6 to 12 percent slopes870C7971432975gjjymn00119961:20000
Itasca-Goodland complex, 2 to 6 percent slopes870B5107432974gjjxmn00119961:20000
Itasca-Goodland complex, 12 to 25 percent slopes870E4282432977gjk0mn00119961:20000
Itasca silt loam, 1 to 6 percent slopes618B2576432947gjj1mn00119961:20000
Itasca-Goodland complex, 1 to 8 percent slopes870B2376397779fbxlmn02119931:20000
Itasca-Goodland complex, 8 to 15 percent slopes870C610397780fbxmmn02119931:20000
Itasca-Goodland silt loams, 2 to 12 percent slopes870C54058398478fcn4mn06119821:24000
Itasca silt loam, 1 to 10 percent slopes618B24734398449fcm6mn06119821:24000
Itasca-Goodland silt loams, 12 to 25 percent slopes870E23334398479fcn5mn06119821:24000
Menahga-Itasca complex, 1 to 10 percent slopes866B10316398473fcmzmn06119821:24000
Menahga-Itasca complex, 10 to 25 percent slopes866E5567398474fcn0mn06119821:24000
Itasca-Goodland-Aquepts complex, pitted, 0 to 45 percent slopesA42E64924233792mbqjmn61920091:24000
Itasca-Goodland-Aquepts complex, pitted, 0 to 8 percent slopesA42B47324233772mbqgmn61920091:24000
Itasca-Goodland-Aquepts complex, pitted, 0 to 18 percent slopesA42D35224233822mbqmmn61920091:24000
Eutrudepts-Itasca-Endoaqualfs, depressional, complex, 0 to 8 percent slopesA45B33524233812mbqlmn61920091:24000
Itasca silt loam, 18 to 45 percent slopesA41E14124233802mbqkmn61920091:24000

Map of Series Extent

Approximate geographic distribution of the ITASCA 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 .