Soil Data Explorer - PALATINE

Official Series Description

Lab Data Summary

Aggregate lab data for the PALATINE soil series. This aggregation is based on all pedons with a current taxon name of PALATINE, 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 PALATINE were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). 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
101	01N0906	S2001NY035002	Palatine	6	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.0164833,-74.3337936
143	90P0112	88NY035002	Palatine	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	43.0494461,-74.7249985

Water Balance

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

Select annual climate data summaries for the PALATINE 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).

Geomorphic description summaries for the PALATINE 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 3D mountains figure.

Competing Series

Soil series competing with PALATINE 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).

Select annual climate data summaries for the PALATINE 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).

Geomorphic description summaries for the PALATINE 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 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 PALATINE, 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).

Block Diagrams

No block diagrams are available.

Map Units

Map units containing PALATINE 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
Palatine silt loam, 3 to 8 percent slopes	90B	524	291586	9sf0	ny035	2007	1:24000
Palatine silt loam, 15 to 25 percent slopes	90D	164	291588	9sf2	ny035	2007	1:24000
Palatine silt loam, 8 to 15 percent slopes	90C	110	291587	9sf1	ny035	2007	1:24000
Palatine channery silt loam, 2 to 8 percent slopes	PbB	530	634686	p9fr	ny037	2004	1:24000
Palatine channery silt loam, 8 to 15 percent slopes	PbC	357	634689	p9fv	ny037	2004	1:24000
Palatine channery silt loam, 15 to 25 percent slopes	PbD	214	634691	p9fx	ny037	2004	1:24000
Palatine silt loam, 15 to 25 percent slopes	PaD	697	2518383	9syp	ny043	2018	1:24000
Palatine silt loam, 2 to 8 percent slopes	PaB	650	2518381	9sym	ny043	2018	1:24000
Palatine silt loam, 8 to 15 percent slopes	PaC	418	2518382	9syn	ny043	2018	1:24000
Palatine silt loam, 3 to 8 percent slopes	PaB	5034	292869	9trd	ny057	1973	1:24000
Palatine silt loam, 8 to 15 percent slopes	PaC	3151	292870	9trf	ny057	1973	1:24000
Palatine silt loam, 15 to 25 percent slopes	PaD	1701	292871	9trg	ny057	1973	1:24000
Palatine shaly silt loam, 2 to 6 percent slopes	PaB	712	293643	9vkc	ny067	1973	1:20000
Palatine shaly silt loam, 6 to 12 percent slopes	PaC	612	293644	9vkd	ny067	1973	1:20000
Palatine silt loam, 8 to 15 percent slopes	PaC	2	309635	bd67	ny093	1973	1:15840
Palatine shaly silt loam, 3 to 8 percent slopes	PaB	491	295998	9y0b	ny115	1972	1:20000
Palatine shaly silt loam, 8 to 15 percent slopes	PaC	193	295999	9y0c	ny115	1972	1:20000
Palatine silt loam, 3 to 8 percent slopes	PaB	1756	281736	9g58	vt007	1969	1:15840
Palatine silt loam, 8 to 15 percent slopes	PaC	785	281737	9g59	vt007	1969	1:15840
Palatine silt loam, 15 to 25 percent slopes	PaD	640	281738	9g5b	vt007	1969	1:15840
Palatine silt loam, 25 to 60 percent slopes	PaE	268	281739	9g5c	vt007	1969	1:15840

Map of Series Extent

Approximate geographic distribution of the PALATINE 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).