Official Series Description


Lab Data Summary

Aggregate lab data for the WAIMEA soil series. This aggregation is based on all pedons with a current taxon name of WAIMEA, 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 WAIMEA 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
15799P009594HI001001ZWaimea2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties20.0994453,-155.793335
16092P062292HI001002Waimea4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties20.104723,-155.7869415
16092P062792HI001007Waimea7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties20.0994453,-155.7927704
16005N0580S05HI001008Waimea7Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties19.9147034,-155.5910645
16040A5576S1958HI001003Waimea4Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties20.0518932,-155.7422791
16040A5577S1958HI001004Waimea3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties20.0552254,-155.7444916

Water Balance

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

There are insufficient data to create the water balance bar figure.



There are insufficient data to create the water balance line figure.

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the WAIMEA 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 WAIMEA series and siblings. 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 WAIMEA 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 terrace figure.

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

Competing Series

Soil series competing with WAIMEA 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 WAIMEA 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 WAIMEA 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 .

Click the image to view it full size.

Click the image to view it full size.

Click the image to view it full size.

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 WAIMEA, 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 WAIMEA 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
Kemole-Waimea complex, 12 to 20 percent slopes8081524523718442km33hi80120121:24000
Waimea medial very fine sandy loam, 6 to 12 percent slopes381971923718172km27hi80120121:24000
Waimea medial very fine sandy loam, 0 to 6 percent slopes383611423718192km29hi80120121:24000
Waimea medial silt loam, 6 to 12 percent slopes417563923718272km2khi80120121:24000
Kemole-Waimea complex, dry, 2 to 12 percent slopes816508024959142pts1hi80120121:24000
Waimea medial very fine sandy loam, 12 to 20 percent slopes382491123718182km28hi80120121:24000
Waimea medial silt loam, 12 to 20 percent slopes418396223718282km2lhi80120121:24000
Waimea-Kemole complex, 2 to 20 percent slopes804371223718412km30hi80120121:24000
Kemole-Waimea extremely cobbly substratum complex, 12 to 20 percent slopes828302523718602km3mhi80120121:24000
Waimea medial very fine sandy loam, 20 to 50 percent slopes384119123718202km2bhi80120121:24000
Waimea medial very fine sandy loam, dry, 0 to 6 percent slopes809115123718452km34hi80120121:24000
Waimea medial silt loam, 20 to 50 percent slopes41954723718292km2mhi80120121:24000
Waimea medial very fine sandy loam, dry, 6 to 12 percent slopes81127423718472km36hi80120121:24000

Map of Series Extent

Approximate geographic distribution of the WAIMEA 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 .