Official Series Description


Lab Data Summary

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

There are insufficient data to create the water balance bar figure.



There are insufficient data to create the water balance line figure.

Sibling Summary

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

There are insufficient data to create the sibling sketch figure.

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

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the PITS, GRAVEL 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 .

There are insufficient data to create the 2D hillslope position figure.

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

There are insufficient data to create the competing sketch figure.

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

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the PITS, GRAVEL 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 .

There are insufficient data to create the 2D hillslope position figure.

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.

Soil series sharing subgroup-level classification with PITS, GRAVEL, 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 .

This figure is not available.

Block Diagrams

No block diagrams are available.

Map Units

Map units containing PITS, GRAVEL 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
Pits, gravel12678517621qvrak64219901:24000
Pits, gravel23150532711sffaz64919781:24000
Pits, gravel672189682237r9co06319961:24000
Pits, GravelGP287801579vx3dco08719651:24000
Pits, gravelGP185886508yrh1co62219681:20000
Pits, gravel709295434369jco62519751:24000
Pits, gravelGP183815470wckhco63219681:24000
Pits, gravel49450737664srlmco67220031:24000
Pits, gravelPg512557246nqga62819771:20000
Pits, gravelPr1421623505fy3in02319781:20000
Pits, gravelPg5917102031vdlvin02719691:20000
Pits, gravelPmg4111649435jmrin03519971:12000
Gravel pitsGv9516128671r49zin04119581:15840
Pits, gravelPg83624254684d2in04519991:12000
Pits, gravelPg2151622965fwcin04719841:15840
Pits, gravelGp2261608255dbxin05919741:15840
Pits, gravelPmg24016508921sdwlin06319711:15840
Gravel pitsGp2901614525f04in06719671:20000
Pits, gravelPmg3721616845f7min08119751:15840
Gravel pitsGr12701620885fnnin09519651:15840
Pits, gravelPg5041644375j3fin09719751:15840
Gravel pitsGr5031597605c7kin12119651:20000
Gravel pitsGp5051607215d7kin14519681:15840
Pits, gravelPg36415320401nf6nin15319661:15840
Gravel pitsGv5516130161r4gsin16119581:15840
Gravel pitsGp12831596715c4pin16719711:20000
Pits, gravel6009952789619c8rma01120121:12000
Pits, gravel60022162786739bzgma61419931:25000
Pits, gravel60028332781389bf6ma61519921:25000
Pits, gravelPT29324275882mh39md00520101:12000
Pits, gravelPt292516891218f8md00919671:20000
Pits, gravelPT63716086751qzyrmd01720071:12000
Pits, gravel200326533593kx7pmd03119891:15840
Pits, gravelPT10971884932218f8md03320091:12000
Pits, gravelGp73212831549j6md03719751:20000
Sand and gravel pitsSa1052533447kx2zmd60019721:15840
Pits, gravel10256415454755tdmt61620031:24000
Pits, gravel5005151478334yttmt63019911:24000
Pits, gravel1024291455264wfdmt64419951:24000
Pits, gravel29846416122561r3p8nh6031:24000
Pits, gravelGP605635646pbfqnm64619761:24000
Pits, gravelPm5822887779phdny00119851:15840
Pits, gravelPG885300051b272ny00320131:24000
Pits, gravelPG15962897709qjfny00920021:24000
Pits, gravelPt33214016071j1h4ny01519691:20000
Pits, gravelPn12882902169qztny01919951:24000
Pits, gravelPg4792905449rbdny02519991:24000
Pits, gravelPs17892907059rhlny02719921:24000
Pits, Gravel, and SandPt4572942759w6rny07719931:24000
Pits, gravelPt1252930939tzmny07919871:12000
Gravel pitsGP5862948059wrvny10119721:15840
Pits, gravelPG42415389911nnfwny10719471:31680
Pits, gravelPt475309727bd96ny11919871:12000
Pits, gravelPt41614051041j53yny12119691:20000
Pits, gravelPu2312893119q1mny60519811:24000
Pits, gravelPp721718435rtboh00319981:12000
Pits, gravelPg1027298911b119oh00720011:12000
Pits, gravelPg4801714445rdgoh02119661:15840
Pits, gravelPg5301717655rqtoh02319971:15840
Pits, gravelPg1001720045rzjoh02719991:12000
Pits, gravelPg2142872619mxhoh03519781:15840
Pits, gravelPg8941957796kqgoh05719741:15840
Pits, gravelPs1521689625ntdoh06519871:15840
Pits, gravelPg11014204171jp1xoh07119731:15840
Pits, gravelPg2051711585r37oh09119771:15840
Pits, gravelPg91816774wdxkoh09919661:15840
Pits, gravelPg314624803nz4yoh13520051:12000
Pits, gravelPg4221707595qpcoh13919711:15840
Pits, gravelPg10542880089nploh15119671:15840
Pits, gravelPg1158825358wpvgoh15319691:20000
Pits, gravelPg25914234581js70oh16719731:15840
Pits, gravelPs2161696555pjroh17519801:15840
Pits, gravelPt640327977c08xtn10919941:20000
Pits, gravel161512508204k1tput61319991:24000
Pits, gravelGP240849088xhjyut62719711:24000
Pits, gravel10516010148271320cut63319831:24000
Pits, gravel, 0 to 3 percent slopes1441212103841ygva03319961:24000
Pits, gravel11A2091185203zb7va09719951:24000
Pits, sand and Pits, gravel1006332828079h8tvt00520061:20000
Pits, sand and Pits, gravel10023514011651j10wvt00920121:
Pits, sand and Pits, gravel257322834339hy0vt01920051:20000
Pits, gravel23013503114jwjhwy71319861:24000

Map of Series Extent

Approximate geographic distribution of the PITS, GRAVEL 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 .