Official Series Description


Lab Data Summary

Aggregate lab data for the TRENARY soil series. This aggregation is based on all pedons with a current taxon name of TRENARY, 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 TRENARY 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
94B95P0218S1994MI103001Trenary7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.1361122,-87.2811127
94B95P0219S1994MI103002Trenary7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties46.168335,-87.1563873

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the TRENARY 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 TRENARY 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 TRENARY 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 TRENARY 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 mountains figure.

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

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Competing Series

Soil series competing with TRENARY 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 TRENARY 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 TRENARY 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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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 TRENARY, 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

No block diagrams are available.

Map Units

Map units containing TRENARY 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
Shoepac-Trenary silt loams, 1 to 6 percent slopes197B2149514553511kvdtmi00320071:24000
Trenary silt loam, 6 to 15 percent slopes31D160314552601kv9wmi00320071:24000
Kiva-Trenary fine sandy loams, 15 to 35 percent slopes303E19414554431kvhsmi00320071:24000
Kiva-Trenary fine sandy loams, 6 to 15 percent slopes303D17514554421kvhrmi00320071:24000
Kiva-Trenary fine sandy loams, 1 to 6 percent slopes303B15714554411kvhqmi00320071:24000
Trenary fine sandy loam, 2 to 6 percent slopesTrB3415115881211q9kqmi04119691:24000
Trenary fine sandy loam, 12 to 18 percent slopesTrD240015881231q9ksmi04119691:24000
Trenary fine sandy loam, 6 to 12 percent slopesTrC174515881221q9krmi04119691:24000
Trenary fine sandy loam, 0 to 2 percent slopesTrA37215881201q9kpmi04119691:24000
Trenary fine sandy loam, 1 to 6 percent slopes, stony58B2263416000fywcmi07119921:20000
Trenary fine sandy loam, 6 to 18 percent slopes, stony58D1591416001fywdmi07119921:20000
Trenary-Rock outcrop complex, 1 to 18 percent slopes, very stony60D479416003fywgmi07119921:20000
Trenary-Solona complex, 0 to 6 percent slopes, stony101B382415856fyqqmi07119921:20000
Menominee, sandy substratum-Trenary complex, 6 to 15 percent slopes76D1730631274p5wpmi09520041:24000
McMillan-Trenary fine sandy loams, 1 to 6 percent slopes120B1486631306p5xqmi09520041:24000
McMillan-Trenary fine sandy loams, 15 to 35 percent slopes120E799631308p5xsmi09520041:24000
McMillan-Trenary fine sandy loams, 6 to 15 percent slopes120D736631307p5xrmi09520041:24000
Menominee, sandy substratum-Trenary complex, 15 to 35 percent slopes76E423631275p5wqmi09520041:24000
Trenary fine sandy loam, 2 to 6 percent slopes47B304631402p60tmi09520041:24000
Trenary fine sandy loam, 6 to 15 percent slopes47D304627497p1yvmi09520041:24000
Shoepac-Trenary silt loams, 1 to 6 percent slopes197B14536395154f85xmi10319991:24000
Trenary silt loam, 6 to 18 percent slopes31D1149395187f86zmi10319991:24000
Cookson-Trenary silt loams, 1 to 6 percent slopes89B352414570301kx4zmi15320071:24000
Trenary silt loam, 2 to 6 percent slopes519B271014570431kx5dmi15320071:24000
Trenary fine sandy loam, 6 to 15 percent slopes535D30514570541kx5rmi15320071:24000
Trenary fine sandy loam, 2 to 6 percent slopes535B7214569301kx1rmi15320071:24000
McMillan-Trenary fine sandy loams, 1 to 6 percent slopes548B1816123121r3r2mi15320071:24000

Map of Series Extent

Approximate geographic distribution of the TRENARY 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 .