Official Series Description


Lab Data Summary

Aggregate lab data for the MONAD soil series. This aggregation is based on all pedons with a current taxon name of MONAD, 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 MONAD 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
n/a40A3618S1964MT013002Monad5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a
n/a40A3619S1964MT013005Monad6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Propertiesn/a

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the MONAD 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 MONAD 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 MONAD 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 MONAD 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 flats position figure.

Competing Series

Soil series competing with MONAD 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 MONAD 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 MONAD 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 terrace figure.

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

Soil series sharing subgroup-level classification with MONAD, 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 MONAD 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
Monad fine sandy loam, 12 to 25 percent slopes821424498027jq7dco65519841:24000
Monad fine sandy loam, 25 to 50 percent slopes83930498028jq7fco65519841:24000
Libeg-Monad complex, 8 to 35 percent slopes50E1460185953120dzwmt60520071:24000
Libeg, stony-Monad complex, 4 to 15 percent slopes3D753185950920dz5mt60520071:24000
Hairpin-Libeg, stony-Monad, stony complex, 4 to 15 percent slopes6D601185951220dz8mt60520071:24000
Maurice, bouldery-Monad complex, 8 to 25 percent slopes65E245185953620f01mt60520071:24000
Monad loam, 2 to 8 percent slopes50C54185955020f0hmt60520071:24000
Hairpin-Libeg, stony-Monad, stony complex, 4 to 15 percent slopes6D10940806443w259mt61020051:24000
Libeg, stony-Monad complex, 4 to 15 percent slopes3D4546804835w0hfmt61020051:24000
Libeg-Monad complex, 8 to 35 percent slopes50E3374114511217fl3mt61020051:24000
Maurice, bouldery-Monad complex, 8 to 25 percent slopes65E93814692941l9xlmt61020051:24000
Libeg, stony-Monad complex, 4 to 15 percent slopes3D182512543w0hfmt61220111:24000
Monad and Libeg soils, steep15047393341813cgp7mt61319751:24000
Monad loam, 2 to 10 percent slopes1486855341810cgp4mt61319751:24000
Monad loam, 10 to 20 percent slopes1495970341811cgp5mt61319751:24000
Monad loam, 2 to 8 percent slopes50C500154890565gmt61620031:24000
Libeg-Monad-Copenhaver complex, 15 to 35 percent slopes854E31915511156dlmt61620031:24000
Monad loam, 8 to 15 percent slopes50D271154891565hmt61620031:24000
Libeg-Monad-Copenhaver complex, 35 to 60 percent slopes854F11115511256dmmt61620031:24000
Libeg-Monad-Copenhaver complex, 35 to 60 percent slopes, moderately impacted1854F9015526756kmmt61620031:24000
Libeg-Monad-Copenhaver complex, 15 to 35 percent slopes, moderately impacted1854E7115527656kxmt61620031:24000
Libeg-Monad-Copenhaver complex, 15 to 35 percent slopes854E7617032361v5c3mt63520061:24000
Libeg-Monad-Copenhaver complex, 8 to 15 percent slopes854D40271459304wvfmt64419951:24000
Libeg-Monad-Copenhaver complex, 15 to 35 percent slopes854E25291459314wvgmt64419951:24000
Monad loam, 2 to 8 percent slopes50C11851457844wpqmt64419951:24000
Libeg-Monad-Copenhaver complex, 35 to 60 percent slopes854F4551459324wvhmt64419951:24000
Monad loam, 8 to 15 percent slopes50D3661457854wprmt64419951:24000
Monad loam, 15 to 35 percent slopes50E81457864wpsmt64419951:24000
Libeg-Monad-Copenhaver complex, 15 to 35 percent slopes709E68362045d4qwmt67020071:24000

Map of Series Extent

Approximate geographic distribution of the MONAD 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 .