Official Series Description


Lab Data Summary

Aggregate lab data for the MARR soil series. This aggregation is based on all pedons with a current taxon name of MARR, 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 MARR 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
149A02N0513S2001MD017017Marr7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.5587502,-76.7539749

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the MARR 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 MARR 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 MARR 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 MARR 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 mountains figure.

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Competing Series

Soil series competing with MARR 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 MARR 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 MARR 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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Soil series sharing subgroup-level classification with MARR, 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 MARR 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
Marr and Dodon soils, 15 to 25 percent slopesMDE105201377914mcwmd00320031:12000
Marr-Dodon complex, 5 to 10 percent slopesMaC101261377894mctmd00320031:12000
Marr-Dodon complex, 10 to 15 percent slopesMaD98501377904mcvmd00320031:12000
Marr-Dodon complex, 2 to 5 percent slopesMaB77641377884mcsmd00320031:12000
Marr and Dodon soils, 25 to 40 percent slopesMDF23251377924mcxmd00320031:12000
Marr-Dodon-Urban land complex, 0 to 5 percent slopesMgB1031377934mcymd00320031:12000
Marr-Dodon-Urban land complex, 5 to 15 percent slopesMgD781377104m98md00320031:12000
Dodon and Marr soils, 15 to 25 percent slopesDdE1276925168592pz7tmd00919671:20000
Dodon-Marr complex, 5 to 10 percent slopesDmC1042825168632pz7ymd00919671:20000
Dodon-Marr complex, 10 to 15 percent slopesDmD663525168642pz7zmd00919671:20000
Dodon and Marr soils, 25 to 80 percent slopesDdG611525168652pz80md00919671:20000
Marr-Dodon complex, 2 to 5 percent slopesMaB374825168854mcsmd00919671:20000
Marr and Dodon soils, 25 to 40 percent slopesMDF182425168874mcxmd00919671:20000
Marr-Dodon complex, 0 to 2 percent slopesMaA35425169102q5zbmd00919671:20000
Marr-Dodon complex, 5 to 10 percent slopesMaC27125169062q5z1md00919671:20000
Marr and Dodon soils, 15 to 25 percent slopesMDE7925168864mcwmd00919671:20000
Marr-Dodon complex, 10 to 15 percent slopesMaD5025169072q5z2md00919671:20000
Grosstown-Marr-Hoghole complex, 15 to 40 percent slopesGmF3750716086321qzxcmd01720071:12000
Grosstown-Marr-Hoghole complex, 5 to 15 percent slopesGmD1515016086311qzxbmd01720071:12000
Marr-Beltsville complex, 5 to 15 percent slopesMkD515716086451qzxsmd01720071:12000
Marr-Dodon complex, 5 to 10 percent slopesMnC153416086401qzxmmd01720071:12000
Croom-Marr complex, 15 to 25 percent slopesCmE139016086731qzypmd01720071:12000
Marr fine sandy loam, 25 to 60 percent slopesMfG135016086431qzxqmd01720071:12000
Marr-Beltsville complex, 15 to 25 percent slopesMkE98216086461qzxtmd01720071:12000
Marr fine sandy loam, 15 to 25 percent slopesMfE95616086421qzxpmd01720071:12000
Marr-Dodon complex, 2 to 5 percent slopesMnB87316086391qzxlmd01720071:12000
Marr-Beltsville complex, 2 to 5 percent slopesMkB85716086441qzxrmd01720071:12000
Marr-Dodon complex, 10 to 15 percent slopesMnD75916086411qzxnmd01720071:12000
Marr fine sandy loam, 0 to 2 percent slopesMfA66016086181qzwxmd01720071:12000
Croom-Marr complex, 25 to 60 percent slopesCmG42116086741qzyqmd01720071:12000
Marr fine sandy loam, 2 to 5 percent slopesMfB37216086191qzwymd01720071:12000
Marr-Beltsville complex, 25 to 40 percent slopesMkF31216086471qzxvmd01720071:12000
Croom-Marr complex, 10 to 15 percent slopesCmD27516086721qzynmd01720071:12000
Marr-Dodon complex, 5 to 10 percent slopesMnC1259824748222p27zmd03320091:12000
Marr-Dodon complex, 15 to 25 percent slopesMnE1194724748242p281md03320091:12000
Marr-Dodon complex, 10 to 15 percent slopesMnD1047324748232p280md03320091:12000
Croom-Marr complex, 15 to 25 percent slopesCwE830924748912p2b6md03320091:12000
Marr-Dodon complex, 2 to 5 percent slopesMnB550824748212p27ymd03320091:12000
Croom-Marr complex, 10 to 15 percent slopesCwD351324748902p2b5md03320091:12000
Croom-Marr complex, 25 to 60 percent slopesCwG238124748922p2b7md03320091:12000
Croom-Marr-Urban land complex, 5 to 15 percent slopesCxD220124748932p2b8md03320091:12000
Marr-Dodon-Urban land complex, 5 to 15 percent slopesMoD153924748262p283md03320091:12000
Marr-Dodon-Urban land complex, 0 to 5 percent slopesMoB148024748252p282md03320091:12000
Urban land-Marr-Dodon complex, 0 to 5 percent slopesUrmB103724748272p284md03320091:12000
Croom-Marr-Urban land complex, 15 to 25 percent slopesCxE81024748942p2b9md03320091:12000
Croom-Marr complex, 5 to 10 percent slopesCwC80524748892p2b4md03320091:12000
Marr-Dodon complex, 0 to 2 percent slopesMnA40724748202p27xmd03320091:12000
Grosstown-Marr-Hoghole complex, 5 to 15 percent slopesGmD5724552432ndwdmd03320091:12000
Grosstown-Marr-Hoghole complex, 15 to 40 percent slopesGmF324552442ndwfmd03320091:12000
Marr fine sandy loam, 2 to 6 percent slopes, moderately erodedMaB246012832749jlmd03719751:20000
Marr fine sandy loam, 6 to 12 percent slopes, moderately erodedMaC226112832849jmmd03719751:20000
Marr fine sandy loam, 6 to 12 percent slopes, severely erodedMaC316412832949jnmd03719751:20000
Marr very fine sandy loam, 25 to 50 percent slopes36E709521190khblva15319851:15840
Marr very fine sandy loam, 7 to 25 percent slopes36D470521189khbkva15319851:15840
Marr very fine sandy loam, 15 to 30 percent slopes, erodedMdE2137912054141ffva17919701:15840
Marr very fine sandy loam, 6 to 10 percent slopes, erodedMdC282912053941fcva17919701:15840
Marr very fine sandy loam, 2 to 6 percent slopesMdB49412053841fbva17919701:15840
Marr very fine sandy loam, 10 to 15 percent slopes, erodedMdD244512054041fdva17919701:15840

Map of Series Extent

Approximate geographic distribution of the MARR 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 .