Soil Data Explorer - PONTO

Official Series Description

Lab Data Summary

Aggregate lab data for the PONTO soil series. This aggregation is based on all pedons with a current taxon name of PONTO, 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 PONTO were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
22B	UCD7347102	73-CA-47-102x	PONTO	3	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	41.2713737,-122.2852402
22B	UCD7747143	77-CA-47-143x	PONTO	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	41.2378731,-121.8670883

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the PONTO 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.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the PONTO series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-02) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the PONTO 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 2023-10-09).

Geomorphic description summaries for the PONTO 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 2023-10-04).

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

Competing Series

Soil series competing with PONTO share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-02) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the PONTO 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 2023-10-09).

Geomorphic description summaries for the PONTO 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 2023-10-04).

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 PONTO, 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 2023-10-02).

Block Diagrams

No block diagrams are available.

Map Units

Map units containing PONTO 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
Neer-Ponto stony sandy loams, 15 to 50 percent slopes complex	196	5460	459105	hdqv	ca602	1978	1:24000
Ponto-Neer complex, 2 to 15 percent slopes	209	5370	459118	hdr8	ca602	1978	1:24000
Neer-Ponto complex, 15 to 50 percent slopes	197	2350	459106	hdqw	ca602	1978	1:24000
Ponto sandy loam, 5 to 15 percent slopes	208	1350	459117	hdr7	ca602	1978	1:24000
Neer-Ponto complex, 2 to 30 percent slopes	259	19078	487108	jbw5	ca604	1994	1:24000
Ponto sandy loam, 2 to 15 percent slopes	286	5995	487161	jbxw	ca604	1994	1:24000
Neer-Ponto complex, 30 to 50 percent slopes	260	4623	487110	jbw7	ca604	1994	1:24000
Carberry, warm-Ponto complex, 2 to 15 percent slopes	128	4010	486846	jblq	ca604	1994	1:24000
Neer-Ponto, dark surface, complex, 30 to 50 percent slopes	258	3350	487106	jbw3	ca604	1994	1:24000
Carberry, warm-Ponto complex, 15 to 30 percent slopes	129	3145	486848	jbls	ca604	1994	1:24000
Ponto-Wyntoon complex, 2 to 15 percent slopes	288	1804	487165	jby0	ca604	1994	1:24000
Ponto-Neer, dark surface, complex, 15 to 30 percent slopes	287	1735	487163	jbxy	ca604	1994	1:24000
Ponto-Neer complex, 2 to 15 percent slopes	209sc	2207	1867686	20pgy	ca707	1983	1:24000
Neer-Ponto stony sandy loams, 15 to 50 percent slopes	196sc	1727	1867678	20pgp	ca707	1983	1:24000
Neer-Ponto complex, 2 to 30 percent slopes	259im	1316	1868946	20qsl	ca707	1983	1:24000
Ponto sandy loam, 2 to 15 percent slopes	286im	336	1868966	20qt7	ca707	1983	1:24000
Neer-Ponto complex, 30 to 50 percent slopes	260im	309	1868948	20qsn	ca707	1983	1:24000
Neer-Ponto complex, 15 to 50 percent slopes	197sc	309	1867680	20pgr	ca707	1983	1:24000
Neer-Ponto, dark surface, complex, 30 to 50 percent slopes	258im	168	1868944	20qsj	ca707	1983	1:24000
Ponto-Wyntoon complex, 2 to 15 percent slopes	288im	2	1868968	20qt9	ca707	1983	1:24000
Ponto variant-Neer complex, 30 to 50 percent slopes	FFF	1127	464649	hlhp	ca719	1982	1:24000
Ponto variant-Neer-Rock outcrop complex, 30 to 75 percent slopes , severely eroded	FGG3	975	464650	hlhq	ca719	1982	1:24000
Ponto variant-Neer complex, 2 to 30 percent slopes	FFE	447	464648	hlhn	ca719	1982	1:24000

Map of Series Extent

Approximate geographic distribution of the PONTO 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 2023-10-04).