Official Series Description


Lab Data Summary

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

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
150A40A443456TX409001Orelia7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties28.0505562,-97.6422195
150A40A443556TX409002Orelia7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.9536114,-97.5883331
150AS05TX355003S05TX355003Orelia5Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.8393612,-97.8691406
150AS05TX355005S05TX355005Orelia6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.7168331,-97.6394424
150A09N1066S09TX4093302Orelia8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties28.1003342,-97.4286652
83AS05TX355001S05TX355001Orelia6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.9361382,-97.8610306
83A09N1063S09TX0252801Orelia8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties28.3383617,-97.7368927

Water Balance

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

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Sibling Summary

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

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

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Geomorphic description summaries for the ORELIA 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.

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Competing Series

Soil series competing with ORELIA share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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

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Geomorphic description summaries for the ORELIA 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 .

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Click the image to view it full size.

There are insufficient data to create the 3D mountains figure.

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Click the image to view it full size.

Soil series sharing subgroup-level classification with ORELIA, 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 .

Block Diagrams

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

  1. TX-2012-03-21-58 | Refugio County - 1988

    Typical pattern of soils and underlying material in the Victoria-Edroy-Orelia map unit (Soil Survey of Refugio County, TX; 1988).

  2. TX-2012-03-21-59 | Refugio County - 1988

    Typical pattern of soils and underlying material in the Papalote-Orelia map unit (Soil Survey of Refugio County, TX; 1988).

  3. TX-2012-03-21-61 | Refugio County - 1988

    Typical pattern of soils and underlying material in the Aransas-Sinton-Odem map unit (Soil Survey of Refugio County, TX; 1988).

Map Units

Map units containing ORELIA 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
Orelia fine sandy loam, 0 to 1 percent slopes181025613627542th6qtx02519791:24000
Orelia fine sandy loam, 0 to 2 percent slopesOrB11240365079d7wrtx12319731:20000
Orelia fine sandy loam, 0 to 1 percent slopesOrA283024368312th6qtx17520101:24000
Orelia fine sandy loam, 0 to 1 percent slopesOf332073710622th6qtx35519631:20000
Orelia fine sandy loam, 0 to 1 percent slopesOr636803714932th6qtx39119841:24000
Orelia fine sandy loam, 0 to 2 percent slopesWmA9193373638djsvtx49319721:24000
Orelia fine sandy loam, 0 to 1 percent slopesOfA1311814291132th6qtx61320071:24000
Orelia fine sandy loam, 0 to 1 percent slopesOr140253747482th6qtx62019741:20000

Map of Series Extent

Approximate geographic distribution of the ORELIA 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 .