Official Series Description


Lab Data Summary

Aggregate lab data for the PITS, LIMESTONE QUARRY soil series. This aggregation is based on all pedons with a current taxon name of PITS, LIMESTONE QUARRY, 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, LIMESTONE QUARRY were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). 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, LIMESTONE QUARRY 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, LIMESTONE QUARRY series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-10-24), parsed OSD records (updated 2024-10-23) and snapshot of SC database (updated 2024-10-23).

There are insufficient data to create the sibling sketch figure.

Select annual climate data summaries for the PITS, LIMESTONE QUARRY series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the PITS, LIMESTONE QUARRY 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 (updated 2024-10-23).

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, LIMESTONE QUARRY share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2024-10-23) and snapshot of the SC database (updated 2024-10-23).

There are insufficient data to create the competing sketch figure.

Select annual climate data summaries for the PITS, LIMESTONE QUARRY series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2024-10-23).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the PITS, LIMESTONE QUARRY 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 (updated 2024-10-23).

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, LIMESTONE QUARRY, 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 (updated 2024-10-23).

This figure is not available.

Block Diagrams

No block diagrams are available.

Map Units

Map units containing PITS, LIMESTONE QUARRY 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, limestone quarries5030239402467fhstia00519921:15840
Pits, limestone quarry503032530516772xm96ia01119771:15840
Pits, limestone quarry503035830516822xm96ia01320011:12000
Pits, limestone quarry503026930517152xm96ia01720081:12000
Pits, limestone quarry503055230517242xm96ia01919781:15840
Pits, limestone quarry503041530517312xm96ia02319781:15840
Pits, limestone quarry503031930517392xm96ia03120081:12000
Pits, limestone quarry5030134730517452xm96ia03319781:15840
Pits, limestone quarry503018730517562xm96ia03719891:15840
Pits, limestone quarry503039130517622xm96ia04319791:15840
Pits, limestone quarry503050730517692xm96ia04519781:15840
Limestone, quarries5030311404811fl7fia05319861:15840
Pits, limestone quarry503065730517772xm96ia05519841:15840
Pits, limestone quarry503038430517842xm96ia05719801:15840
Pits, limestone quarry503073030517932xm96ia06119831:15840
Pits, limestone quarry503045930518002xm96ia06519751:15840
Pits, limestone quarry503045430518092xm96ia06719891:15840
Pits, limestone quarry503021230518192xm96ia06919771:15840
Pits, limestone quarry503051406487fmzhia07919841:15840
Pits, limestone quarry503059830518322xm96ia08319821:15840
Pits, limestone quarry503025430518392xm96ia08719821:15840
Pits, limestone quarry503018730518462xm96ia08919691:15840
Pits, limestone quarries5030399447622h0sfia09119981:12000
Pits, limestone quarries5030267407532fp26ia09719881:15840
Pits, limestone quarry503010130518642xm96ia09919751:15840
Pits, limestone quarry503019130518702xm96ia10119921:15840
Pits, limestone quarry503063330518782xm96ia10319791:15840
Pits, limestone quarry503058630518862xm96ia10519881:15840
Pits, limestone quarry503046830518942xm96ia10719981:12000
Pits, limestone quarry5030125030519032xm96ia11319701:15840
Pits, limestone quarry50308130519132xm96ia11519841:15840
Pits, limestone quarry503033430519202xm96ia12319711:15840
Pits, limestone quarry503033230519302xm96ia12519761:15840
Pits, limestone quarry503040830519382xm96ia12719781:15840
Pits, limestone quarry503043130519452xm96ia13119711:15840
Pits, limestone quarry503020530519522xm96ia13519821:15840
Pits, limestone5030528410401fs1ria15119821:15840
Pits, limestone quarry50308930519662xm96ia15719781:15840
Pits, limestone quarry503077530519752xm96ia16319891:15840
Pits, quarry5030125411322ft0gia16919811:15840
Pits, limestone quarry503026230519832xm96ia17119891:15840
Pits, limestone quarry503013430519922xm96ia17919781:15840
Pits, limestone quarry503033630520002xm96ia18319831:15840
Pits, limestone quarries5030236797971vsc0ia18720061:12000
Pits, limestone quarry503051430520062xm96ia19120051:12000
Pits, limestone quarry503064030520152xm96ia19520121:12000
Pits, limestone quarry101062130572392xm96mn03719801:15840
Pits, limestone quarry101015230572482xm96mn03920051:12000
Pits, limestone quarry101023030572552xm96mn04520081:12000
Pits, limestone quarry101045030572622xm96mn04920071:12000
Pits, limestone quarry101017830572662xm96mn09919861:15840
Pits, limestone quarry101080230572732xm96mn10919771:15840
Pits, limestone quarry10103530572772xm96mn13119961:12000
Pits, limestone quarry101019930572832xm96mn14719671:20000

Map of Series Extent

Approximate geographic distribution of the PITS, LIMESTONE QUARRY 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 (updated 2024-10-30).