Soil Data Explorer - ORLIE

Official Series Description

Lab Data Summary

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

Competing Series

Soil series competing with ORLIE 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 ORLIE 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 ORLIE 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 mountains figure.

Soil series sharing subgroup-level classification with ORLIE, 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

Click a link below to display the diagram. Note that these diagrams may be from multiple survey areas.

1. NM-2010-09-13-05 | McKinley County -

   Generalized cross section illustrating soil-geomorphic-geologic relationships of soils on the Chaco slope of the San Juan Basin (Soil Survey of McKinley County, New Mexico).

2. NM-2012-02-14-07 | Jicarilla Apache Nation, Parts of Rio Arriba and Sandoval Counties - 2004

   Conceptual diagram of the major soil and landscape positions of the Tapicito Plateau (Soil Survey of Jicarilla Apache Nation, New Mexico, Parts of Rio Arriba and Sandoval Counties; 2004).

Map Units

Map units containing ORLIE 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
Vessilla-Menefee-Orlie complex, 1 to 30 percent slopes	110	168998	56163	2vd1r	nm650	1989	1:24000
Orlie fine sandy loam, 1 to 8 percent slopes	103	98863	56157	2vd1t	nm650	1989	1:24000
Orlie-Nalivag loams, 2 to 8 percent slopes	80	23496	56281	2wljh	nm650	1989	1:24000
Gobernador-Orlie association, 0 to 8 percent slopes	31	16444	56249	1wjh	nm650	1989	1:24000
Vessilla-Menefee-Orlie association, 0 to 30 percent slopes	422	26540	56426	1wq6	nm656	1987	1:24000
Orlie-Sparham association, 0 to 5 percent slopes	24	22785	56371	1wnf	nm656	1987	1:24000
Orlie loam, 0 to 8 percent slopes	26	4577	56375	2vd1v	nm656	1987	1:24000
Orlie loam, 0 to 8 percent slopes	OiC	7207	2900630	2vd1v	nm672		1:24000
Vessilla-Menefee-Orlie complex, 1 to 30 percent slopes	VoE	2075	2770170	2vd1r	nm672		1:24000
Orlie fine sandy loam, 1 to 8 percent slopes	OrC	629	2900633	2vd1t	nm672		1:24000
Gobernador-Orlie association, 0 to 8 percent slopes	GoC	236	2770194	2tlb4	nm672		1:24000
Orlie-Cementlake complex, 1 to 6 percent slopes	OzC	23	2770208	2v5q0	nm672		1:24000
Orlie-Nalivag loams, 2 to 8 percent slopes	OnC	23	2770204	2wljh	nm672		1:24000
Orlie fine sandy loam, 1 to 8 percent slopes	OrC	5820	2934601	2vd1t	nm678		1:24000
Orlie loam, 0 to 8 percent slopes	OiC	2289	2934602	2vd1v	nm678		1:24000
Orlie-Lindrith complex, 1 to 15 percent slopes	OLC	1272	2942567	2wllc	nm678		1:24000
Orlie-Nalivag loams, 2 to 8 percent slopes	OnC	588	2942529	2wljh	nm678		1:24000
Orlie-Cementlake complex, 1 to 6 percent slopes	OzC	120	2942576	2v5q0	nm678		1:24000
Orlie-Tinian complex, 1 to 6 percent slopes	30	28445	57244	1xkl	nm692	2001	1:24000
Orlie-Cementlake complex, 1 to 6 percent slopes	571	22343	57499	1xtt	nm698	2000	1:24000
Vessilla-Menefee-Orlie complex, 1 to 30 percent slopes	155	20618	57489	2vd1r	nm698	2000	1:24000
Orlie-Nalivag loams, 2 to 8 percent slopes	304	19644	57494	2wljh	nm698	2000	1:24000
Orlie loam, 0 to 8 percent slopes	303	19444	57493	2vd1v	nm698	2000	1:24000
Orlie fine sandy loam, 1 to 8 percent slopes	370	18754	57496	2vd1t	nm698	2000	1:24000
Orlie-Sparham association, 0 to 5 percent slopes	24	10237	57505	1xv0	nm698	2000	1:24000

Map of Series Extent

Approximate geographic distribution of the ORLIE 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).