Soil Data Explorer - KARMA

Official Series Description

Lab Data Summary

Aggregate lab data for the KARMA soil series. This aggregation is based on all pedons with a current taxon name of KARMA, 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 KARMA were used in the calculation. Source: KSSL snapshot (updated 2020-03-13). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

There are insufficient data to create the lab data summary figure.

Water Balance

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

Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the KARMA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-02) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the KARMA series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2023-10-09).

Geomorphic description summaries for the KARMA 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 (updated 2023-10-04).

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

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

Competing Series

Soil series competing with KARMA share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-02) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the KARMA series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data (updated 2023-10-09).

Geomorphic description summaries for the KARMA 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 (updated 2023-10-04).

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

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

Soil series sharing subgroup-level classification with KARMA, 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 (updated 2023-10-02).

Block Diagrams

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

1. TX-2010-11-03-04 | Fannin County - 2001

   Typical landscape pattern and major soils along the Red River (Soil Survey of Fannin County, Texas; 2001).

Map Units

Map units containing KARMA 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
Karma fine sandy loam, 1 to 3 percent slopes	42	8477	381824	dt9x	ok013	1974	1:24000
Karma fine sandy loam, 8 to 20 percent slopes	45	3816	381827	dtb0	ok013	1974	1:24000
Karma fine sandy loam, 3 to 5 percent slopes	43	2383	381825	dt9y	ok013	1974	1:24000
Karma fine sandy loam, 3 to 5 percent slopes, eroded	44	2003	381826	dt9z	ok013	1974	1:24000
Karma fine sandy loam, 0 to 1 percent slopes	29	3479	571219	m5df	ok023	1977	1:24000
Karma fine sandy loam, 3 to 5 percent slopes	KoC	916	571603	m5st	ok029	1969	1:24000
Karma loamy fine sand, 3 to 8 percent slopes, gullied	30	6112	571741	m5y8	ok091	1980	1:24000
Karma fine sandy loam, 3 to 8 percent slopes, gullied	34	5247	571745	m5yd	ok091	1980	1:24000
Karma fine sandy loam, 3 to 5 percent slopes, eroded	32	4986	571743	m5yb	ok091	1980	1:24000
Karma loamy fine sand, 3 to 5 percent slopes, eroded	28	2107	571738	m5y5	ok091	1980	1:24000
Karma loamy fine sand, 5 to 8 percent slopes	29	1927	571739	m5y6	ok091	1980	1:24000
Karma loamy fine sand, 3 to 5 percent slopes	27	1758	571737	m5y4	ok091	1980	1:24000
Karma fine sandy loam, 3 to 5 percent slopes	31	1643	571742	m5y9	ok091	1980	1:24000
Karma fine sandy loam, 5 to 8 percent slopes	33	866	571744	m5yc	ok091	1980	1:24000
Karma fine sandy loam, 3 to 12 percent slopes, gullied	KarE4	4037	384171	dwrm	ok107	1996	1:24000
Karma fine sandy loam, 3 to 5 percent slopes	KarC	1462	384169	dwrk	ok107	1996	1:24000
Karma fine sandy loam, 3 to 8 percent slopes, eroded	KarD2	1338	384170	dwrl	ok107	1996	1:24000
Karma fine sandy loam, 0 to 3 percent slopes	KarB	1286	384168	dwrj	ok107	1996	1:24000
Karma loamy fine sand, 3 to 8 percent slopes	KsD	5604	106465	3ksc	ok111	1968	1:24000
Karma loamy fine sand, 3 to 8 percent slopes, severely eroded	KsD3	3457	106466	3ksd	ok111	1968	1:24000
Karma loamy fine sand, 3 to 8 percent slopes, severely eroded	KsD3	15204	571558	m5rc	ok121	1966	1:24000
Karma fine sandy loam, 1 to 3 percent slopes	KoB	1614	571557	m5rb	ok121	1966	1:24000
Karma loam, 0 to 2 percent slopes	KaA	9863	365529	d8c8	tx147	1989	1:24000
Karma loam, 5 to 12 percent slopes, eroded	KaD2	6440	365530	d8c9	tx147	1989	1:24000
Karma loam, 0 to 2 percent slopes	HaB	1960	371442	dgj0	tx387	1972	1:24000
Karma fine sandy loam, 0 to 1 percent slopes	28	2624	393358	f69z	tx614	1975	1:20000

Map of Series Extent

Approximate geographic distribution of the KARMA 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 (updated 2023-10-04).