Official Series Description


Lab Data Summary

Aggregate lab data for the MALM soil series. This aggregation is based on all pedons with a current taxon name of MALM, 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 MALM were used in the calculation. Source: KSSL snapshot . 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 MALM 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 MALM 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 MALM 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 MALM 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.

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There are insufficient data to create the 3D flats position figure.

Competing Series

Soil series competing with MALM 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 MALM series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

Click the image to view it full size.

Geomorphic description summaries for the MALM 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 .

Click the image to view it full size.

Click the image to view it full size.

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

Click the image to view it full size.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with MALM, 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 MALM 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
Malm-Matheson-Rock outcrop complex, 1 to 12 percent slopes11E8012489016018621qrvzid76120181:24000
Grassyridge-Malm complex, 1 to 15 percent slopes11E80414620189716321p4tid76120181:24000
Malm-Bondfarm-Matheson complex, 1 to 12 percent slopesMFD1132923942672lcffid76120181:24000
Bondfarm-Malm-Rock outcrop complex, 1 to 12 percent slopesMBC369316021971qs6sid76120181:24000
Matheson-Malm complex, 1 to 8 percent slopesMMB229023942682lcfgid76120181:24000
Malm-Bondfarm complex, 1 to 12 percent slopesMFC154224341392mpxmid76120181:24000
Malm-Juniperbute complex, 1 to 12 percent slopes6629728430412szm3id76120181:24000
Malm fine sandy loam, 1 to 6 percent slopes654899837812t5mid76219881:24000
Malm-Juniperbute complex, 1 to 12 percent slopes664348837822t5nid76219881:24000
Grassyridge-Malm complex, 1 to 15 percent slopes11E8043012288944021p4tid76219881:24000
Malm-Wolverine sands, 0 to 12 percent slopes682520837842t5qid76219881:24000
Malm-Rock outcrop complex, 0 to 12 percent slopes671327837832t5pid76219881:24000
Malm-Bondfarm-Matheson complex, 4 to 8 percent slopes6121237790812n90id76319981:24000
Bondfarm-Malm-Rock outcrop complex, 1 to 12 percent slopesMBC932390061qs6sid76319981:24000
Malm-Rock outcrop complex6730220839132t9wid76519751:24000
Matheson-Malm loams7714685839242tb7id76519751:24000
Malm-Matheson-Rock outcrop complex669162839122t9vid76519751:24000
Malm-Bondfarm-Matheson complex, 4 to 8 percent slopes61-B684732390072n90id76519751:24000
Malm-Matheson loamy sands645078839102t9sid76519751:24000
Grassyridge-Malm complex, 1 to 15 percent slopes11E8042493288944421p4tid76519751:24000
Malm-Matheson sandy loams652082839112t9tid76519751:24000
Matheson-Malm sandy loams761696839232tb6id76519751:24000
Malm-Matheson-Rock outcrop complex, 1 to 12 percent slopes11E80195828894431qrvzid76519751:24000
Malm-Bondfarm complex, 1 to 12 percent slopesMFC17428894532mpxmid76519751:24000
Matheson-Malm complex, 1 to 8 percent slopesMMB14928894552lcfgid76519751:24000
Malm-Bondfarm-Matheson complex, 1 to 12 percent slopesMFD528894542lcffid76519751:24000
Malm fine sandy loam, 4 to 12 percent slopes182904841632tkyid76919781:24000
Malm fine sandy loam, 12 to 20 percent slopes19453841642tkzid76919781:24000
Malm fine sandy loam, 2 to 4 percent slopesMaB677799512p62id77019681:24000
Malm fine sandy loam, 0 to 2 percent slopesMaA422799502p61id77019681:24000
Malm-Bondfarm-Matheson complex, 4 to 8 percent slopes61-B8138932389342n90id7721:24000
Bondfarm-Malm-Rock outcrop complex, 1 to 12 percent slopesMBC1100132389331qs6sid7721:24000

Map of Series Extent

Approximate geographic distribution of the MALM 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 .