Official Series Description


Lab Data Summary

Aggregate lab data for the HAIRE soil series. This aggregation is based on all pedons with a current taxon name of HAIRE, 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 HAIRE 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
1493P002092CA055001Haire6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.2225,-122.3530556
1493P002192CA055004Haire6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.2211111,-122.3536111
1493P002292CA055005Haire6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.2213889,-122.355
1493P002392CA055007Haire7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.2202778,-122.3558333
1493P002492CA055009Haire6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties38.2186111,-122.3555556

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the HAIRE 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 HAIRE 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 HAIRE 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 HAIRE 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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Click the image to view it full size.

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Competing Series

Soil series competing with HAIRE 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 HAIRE series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the HAIRE 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.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with HAIRE, 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 HAIRE 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
Haire loam, 15 to 30 percent slopesHaE1570455624h93kca05319721:24000
Haire loam, 2 to 9 percent slopes1468590458970hdlhca05519741:24000
Haire loam, 0 to 2 percent slopes1451420458969hdlgca05519741:24000
Haire clay loam, 2 to 9 percent slopes1481360458972hdlkca05519741:24000
Haire clay loam, 0 to 2 percent slopes1471070458971hdljca05519741:24000
Haire clay loam, 9 to 15 percent slopes149605458973hdllca05519741:24000
Haire clay loam, 15 to 30 percent slopes150580458974hdlmca05519741:24000
Haire clay loam, 15 to 30 percent slopesHcEsn31816507wdmyca05519741:24000
Haire gravelly loam, 0 to 9 percent slopesHbCsn31816504wdmvca05519741:24000
Haire clay loam, 0 to 9 percent slopesHcCsn2816505wdmwca05519741:24000
Haire clay loam, 0 to 9 percent slopesHcC7327459754hfdsca09719681:20000
Haire gravelly loam, 0 to 9 percent slopesHbC1939459750hfdnca09719681:20000
Haire clay loam, 15 to 30 percent slopesHcE1556459757hfdwca09719681:20000
Haire clay loam, 9 to 15 percent slopesHcD1298459755hfdtca09719681:20000
Pleasanton-Haire complex, 9 to 15 percent slopesPlD990459848hfhtca09719681:20000
Haire fine sandy loam, hummocky, 0 to 5 percent slopesHaB960459749hfdmca09719681:20000
Haire gravelly loam, 9 to 15 percent slopesHbD713459751hfdpca09719681:20000
Pleasanton-Haire complex, 0 to 9 percent slopesPlC699459847hfhsca09719681:20000
Haire gravelly loam, 9 to 15 percent slopes, erodedHbD2545459752hfdqca09719681:20000
Haire gravelly loam, 15 to 30 percent slopesHbE398459753hfdrca09719681:20000
Haire clay loam, 9 to 15 percent slopes, erodedHcD2361459756hfdvca09719681:20000
Haire clay loam, 15 to 30 percent slopes, erodedHcE2262459758hfdxca09719681:20000

Map of Series Extent

Approximate geographic distribution of the HAIRE 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 .