Soil Data Explorer - GOODNIGHT

Official Series Description

Lab Data Summary

Aggregate lab data for the GOODNIGHT soil series. This aggregation is based on all pedons with a current taxon name of GOODNIGHT, 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 GOODNIGHT were used in the calculation. Source: KSSL snapshot (updated 2020-03-18). Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

Pedons used in the lab summary:

MLRA	Lab ID	Pedon ID	Taxonname	CI	NSSL / NASIS Reports	Link To SoilWeb GMap
80A	79-OK-60-3	79-OK119-60-3	Goodnight	4	Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties	36.0566,-96.7487639

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the GOODNIGHT 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 GOODNIGHT 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 GOODNIGHT 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 GOODNIGHT 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 GOODNIGHT 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 GOODNIGHT 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 GOODNIGHT 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 hills figure.

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

Soil series sharing subgroup-level classification with GOODNIGHT, 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. OK-2010-09-29-04 | Logan County - 2006

   Typical pattern of soils and underlying material in the Dougherty-Konawa-Derby general soil map unit (Soil Survey of Logan County, Oklahoma; 2006).

2. OK-2010-09-29-08 | Noble County - 2005

   Typical pattern of soils and underlying material in the Keokuk-Goodnight-Ashport and the McLain-Braman-Lela general soil map units (Soil Survey of Noble County, Oklahoma; 2005).

3. OK-2012-02-16-13 | Cleveland County - April 1987

   Typical pattern of soils and underlying material in the Norge-Teller-Vanoss map unit and Asher-Keokuk-Canadian map unit (Soil Survey of Cleveland County, Oklahoma; April 1987).

4. OK-2012-02-17-25 | Payne County - April 1987

   Typical pattern of soils and underlying material in the Yahola-Gaddy-Hawley map unit (Soil Survey of Payne County, Oklahoma; April 1987).

Map Units

Map units containing GOODNIGHT 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
Goodnight fine sand, 1 to 30 percent slopes	6202	918	3221134	2zh6g	ks007	1973	1:24000
Goodnight fine sand, 1 to 30 percent slopes	6202	539	3221137	2zh6g	ks077	1965	1:24000
Goodnight fine sand, 1 to 30 percent slopes	6202	1650	3221139	2zh6g	ks191	1974	1:24000
Goodnight fine sand, 1 to 30 percent slopes	GooG	2103	622536	2zh6g	ok003	1971	1:24000
Derby-Goodnight fine sands, 5 to 12 percent slopes	DeGE	59	381447	2y2sh	ok003	1971	1:24000
Goodnight loamy fine sand, 1 to 5 percent slopes	GohC	20	622535	2zhqf	ok003	1971	1:24000
Goodnight fine sand, 1 to 30 percent slopes	GooG	6970	3221162	2zh6g	ok011	1965	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	11	3221161	2zhqg	ok011	1965	1:24000
Goodnight fine sand, 1 to 30 percent slopes	GooG	3487	381984	2zh6g	ok017	1972	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	912	382091	2zhqg	ok027	1984	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	486	382681	2zhqg	ok051	1975	1:24000
Goodnight loamy fine sand, 1 to 5 percent slopes	GohC	10125	382700	2zhqf	ok053	1983	1:24000
Goodnight fine sand, 1 to 30 percent slopes	GooG	6347	382699	2zh6g	ok053	1983	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	136	3221145	2zhqg	ok053	1983	1:24000
Goodnight loamy fine sand, 3 to 12 percent slopes	TrD	2032	383257	dvt4	ok067	1967	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	3015	383364	2zhqg	ok071	1965	1:24000
Goodnight fine sand, 1 to 30 percent slopes	GooG	21029	383415	2zh6g	ok073	1960	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	4385	383422	2zhqg	ok073	1960	1:24000
Goodnight loamy fine sand, 1 to 5 percent slopes	GohC	5	3090085	2zhqf	ok073	1960	1:24000
Goodnight fine sand, 3 to 12 percent slopes, rarely flooded	55	1104	571441	m5ml	ok079	1981	1:24000
Goodnight fine sand, 1 to 30 percent slopes	GooG	1717	383620	2zh6g	ok083	1994	1:12000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	1047	383618	2zhqg	ok083	1994	1:12000
Goodnight loamy fine sand, 1 to 5 percent slopes	GohC	510	383617	2zhqf	ok083	1994	1:12000
Goodnight fine sand, 1 to 30 percent slopes	GooG	9012	383862	2zh6g	ok093	1965	1:24000
Derby-Goodnight fine sands, 5 to 12 percent slopes	DeGE	4606	3221156	2y2sh	ok093	1965	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	962	3221157	2zhqg	ok093	1965	1:24000
Goodnight loamy fine sand, 5 to 15 percent slopes	GohE	501	384055	2zhqg	ok103	1994	1:24000
Goodnight loamy fine sand, 1 to 5 percent slopes	97	1784	384595	2tq7v	ok119	1983	1:24000
Goodnight loamy fine sand, 15 to 25 percent slopes	63	1109	384563	dx58	ok119	1983	1:24000
Goodnight loamy fine sand, 3 to 20 percent slopes	GdF	270	373794	djyw	tx503	2003	1:24000

Map of Series Extent

Approximate geographic distribution of the GOODNIGHT 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).