Official Series Description


Lab Data Summary

Aggregate lab data for the MOREY soil series. This aggregation is based on all pedons with a current taxon name of MOREY, 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 MOREY 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
150A89P004088TX245003Morey8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.0662417,-94.3006111
150A11N0007S10LA0190048Morey8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.2236778,-93.5003167
150A11N0441S2010TX0712763Morey8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.7545834,-94.5488892
150A12N7954S2012TX2911010Morey7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.9227361,-94.5432222
150A12N7965S2012TX2911021Morey7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties30.0505056,-94.6683056
2986P081386CA027006Morey8Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties36.7727776,-118.1616669

Water Balance

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

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

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

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Competing Series

Soil series competing with MOREY 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 MOREY 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 MOREY 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 .

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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Soil series sharing subgroup-level classification with MOREY, 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-2012-03-21-11 | Jefferson County - February 1965

    Relative position of the major soils of the coast prairie and coast marsh (Soil Survey of Jefferson County, TX; 1965).

Map Units

Map units containing MOREY 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
Morey family-Winnedumah-Rindge family complex, 0 to 2 percent slopes2672771488211jd0rca80219961:24000
Morey silt loam, 0 to 1 percent slopes291524363061d5sntx03919791:20000
Morey loam, 0 to 1 percent slopesMonA1371027607392thp2tx07119691:24000
Morey-Levac complex, 0 to 1 percent slopesMorA1013727607032thp3tx07119691:24000
Morey-Urban land complex, 0 to 1 percent slopesMouA469227607432thp5tx07119691:24000
Morey-Spindletop complex, 0 to 1 percent slopesMosA416227607042th6htx07119691:24000
Morey rarely flooded-Leton occasionally flooded complexMrT3749366092d8yftx16719851:24000
Morey silt loam, 0 to 1 percent slopes, rarely floodedMr2738366091d8ydtx16719851:24000
Morey-Levac complex, 0 to 1 percent slopesMorA814628882572thp3tx29119861:24000
Morey-Spindletop complex, 0 to 1 percent slopesMosA288628882582th6htx29119861:24000
Morey-Urban land complex, 0 to 1 percent slopesMouA150428883182thp5tx29119861:24000
Morey loam, 0 to 1 percent slopesMonA18728883162thp2tx29119861:24000
Morey-Levac complex, 0 to 1 percent slopesMorA1450528884952thp3tx62319961:24000
Morey-Urban land complex, 0 to 1 percent slopesMouA354028885412thp5tx62319961:24000
Morey-Spindletop complex, 0 to 1 percent slopesMosA256528884962th6htx62319961:24000
Morey loam, 0 to 1 percent slopesMonA98028885352thp2tx62319961:24000

Map of Series Extent

Approximate geographic distribution of the MOREY 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 .