Official Series Description


Lab Data Summary

Aggregate lab data for the MOLLET soil series. This aggregation is based on all pedons with a current taxon name of MOLLET, 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 MOLLET 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 MOLLET 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 MOLLET 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 MOLLET 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 MOLLET 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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Competing Series

Soil series competing with MOLLET 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 MOLLET 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 MOLLET 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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There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with MOLLET, 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 MOLLET 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
Redchief-Mollet complex, 15 to 35 percent slopes145E335185956920f13mt60520071:24000
Mollet loam, 8 to 15 percent slopes48D49185954920f0gmt60520071:24000
Mollet loam, 2 to 8 percent slopes48C29185954820f0fmt60520071:24000
Mollet loam, 8 to 15 percent slopes48D16431548235639mt61620031:24000
Redchief-Mollet complex, 15 to 35 percent slopes145E156715459355vwmt61620031:24000
Redchief-Mollet complex, 8 to 15 percent slopes145D90515459255vvmt61620031:24000
Quigg-Mollet complex, 2 to 8 percent slopes430C892154780561xmt61620031:24000
Mollet loam, 2 to 8 percent slopes48C6681548225638mt61620031:24000
Quigg-Mollet complex, 8 to 15 percent slopes430D533154781561ymt61620031:24000
Mollet cobbly loam, 8 to 15 percent slopes148D41615459755w0mt61620031:24000
Redchief-Mollet complex, 4 to 8 percent slopes145C39815459155vtmt61620031:24000
Mollet cobbly loam, 2 to 8 percent slopes148C21115459655vzmt61620031:24000
Redchief-Mollet bouldery loams, 4 to 15 percent slopes245D13715466055y1mt61620031:24000
Quigg-Mollet complex, 15 to 35 percent slopes430E109154782561zmt61620031:24000
Mollet loam, 15 to 35 percent slopes48E24154824563bmt61620031:24000
Redchief-Mollet complex, 8 to 15 percent slopes145D8191442134v21mt62119971:24000
Redchief-Mollet complex, 15 to 35 percent slopes145E2321442144v22mt62119971:24000
Redchief-Mollet complex, 4 to 8 percent slopes145C2111442124v20mt62119971:24000
Mollet loam, 4 to 15 percent slopes48D1571444564v9wmt62119971:24000
Redchief-Mollet complex, 35 to 60 percent slopes145F351442154v23mt62119971:24000
Mollet, very stony-Bowen, stony families-Rock outcrop complex, 1 to 8 percent slopes2150C140727246412sh81mt6321:24000
Mollet-Redchief, stony families, complex, 1 to 8 percent slopes1151C115527246342sh7tmt6321:24000
Mollet-Sebud families, complex, 4 to 25 percent slopes3151D91027246422sh82mt6321:24000
Mollet-Adel complex, 8 to 35 percent slopes270E60123927992l9x2mt6321:24000
Redchief-Mollet-Sebud families, complex, high relief mountain slopes and ridges71UHD63814950750ktmt63520061:24000
Redchief-Mollet complex, 15 to 35 percent slopes145E22417029371v51gmt63520061:24000
Redchief-Mollet complex, 8 to 15 percent slopes145D5717029361v51fmt63520061:24000
Redchief-Mollet complex, 4 to 8 percent slopes145C5617029351v51dmt63520061:24000
Mollet-Adel complex, 8 to 35 percent slopes270E1443814093wb42mt63720141:24000
Mollet loam, 4 to 15 percent slopes48D21881457754wpfmt64419951:24000
Mollet loam, 15 to 35 percent slopes48E1361457764wpgmt64419951:24000
Copenhaver-Mollet-Tophat complex, 4 to 60% slopes5508E793815647357tjmt6691:24000
Rocko-Danaher-Mollet loams, 4 to 35 percent slopes5528E2088699257rgmpmt6691:24000
Zade-Mollet, complex, stony, 15 to 45 percent slopes5638F909699345rgqjmt6691:24000
Mollet-Redchief, clay loams, cool, 0 to 8 percent slopes52B596156819585pmt6691:24000

Map of Series Extent

Approximate geographic distribution of the MOLLET 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 .