Soil Data Explorer - MATLACHA

Official Series Description

Lab Data Summary

Aggregate lab data for the MATLACHA soil series. This aggregation is based on all pedons with a current taxon name of MATLACHA, 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 MATLACHA were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). 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 MATLACHA 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 MATLACHA series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot (updated 2024-02-21), parsed OSD records (updated 2023-10-06) and snapshot of SC database (updated 2023-10-02).

Select annual climate data summaries for the MATLACHA 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 MATLACHA 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 mountains figure.

Competing Series

Soil series competing with MATLACHA share the same family level classification in Soil Taxonomy. Source: parsed OSD records (updated 2023-10-06) and snapshot of the SC database (updated 2023-10-02).

Select annual climate data summaries for the MATLACHA 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).

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the MATLACHA 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 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 MATLACHA, 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

No block diagrams are available.

Map Units

Map units containing MATLACHA 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
Matlacha gravelly fine sand-Urban land complex, 0 to 2 percent slopes	7	18781	3045856	2x9dc	fl015	1982	1:20000
Matlacha gravelly fine sand, 0 to 2 percent slopes	69	731	1453477	2x9db	fl015	1982	1:20000
Matlacha gravelly fine sand, limestone substratum-Urban land complex, 0 to 2 percent slopes	122	301	3045857	2x9f0	fl015	1982	1:20000
Matlacha gravelly fine sand, limestone substratum, 0 to 2 perent slopes	18	43	3102877	2x9dz	fl015	1982	1:20000
Matlacha, limestone substratum-Urban land complex	37	1700	321073	bs36	fl017	1985	1:20000
Matlacha gravelly fine sand-Urban land complex, 0 to 2 percent slopes	7	32610	3102878	2x9dc	fl071	1982	1:20000
Matlacha gravelly fine sand, limestone substratum-Urban land complex, 0 to 2 percent slopes	122	11769	3102879	2x9f0	fl071	1982	1:20000
Matlacha gravelly fine sand, 0 to 2 percent slopes	69	1298	1483458	2x9db	fl071	1982	1:20000
Matlacha gravelly fine sand, limestone substratum, 0 to 2 perent slopes	18	124	3102882	2x9dz	fl071	1982	1:20000
Matlacha and St. Augustine soils and Urban land	16	21940	1017094	134ch	fl103	2003	1:24000
Matlacha gravelly fine sand-Urban land complex, 0 to 2 percent slopes	27	1260	3103000	2x9dc	fl115	1988	1:24000
Matlacha, limestone substratum-Urban land complex	20	9087	1389885	1hn90	fl606	1981	1:20000
Plantation, ponded-Matlacha-Urban land complex, 0 to 2 percent slopes	27	7086	3103038	2y9j0	fl606	1981	1:20000
Matlacha gravelly fine sand, limestone substratum, 0 to 2 perent slopes	14	6456	3102998	2x9dz	fl606	1981	1:20000
Matlacha-Cypress lake-Urban land complex, 0 to 2 percent slopes	121	3770	3236281	2zlfp	fl621	1989	1:24000
Plantation, ponded-Matlacha-Urban land complex, 0 to 2 percent slopes	33	3347	631595	2y9j0	fl686	1989	1:24000
Flagami-Ravenwood-Urban land complex, 0 to 5 percent slopes	40	520	3116318	2z9sx	fl686	1989	1:24000

Map of Series Extent

Approximate geographic distribution of the MATLACHA 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).