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Evaluation of Direct/Delayed Response Project Soil Sampling Classes: Northeastern United States
Author(s) -
Adams M. B.,
Turner R.S.,
Schmoyer D. D.
Publication year - 1992
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1992.03615995005600010028x
Subject(s) - soil water , entisol , sampling (signal processing) , environmental science , soil survey , inceptisol , multivariate statistics , soil test , hydrology (agriculture) , soil science , mathematics , statistics , geology , computer science , geotechnical engineering , filter (signal processing) , computer vision
The Direct/Delayed Response Project (DDRP) identified approximately 600 soils on 145 watersheds in the northeastern USA. Soils were assembled into 38 sampling classes, based on soil characteristics thought to influence surface water chemistry. Multivariate analysis techniques were used to evaluate the utility of the sampling classes. Hydrologic and chemical properties of soils were determined to be the most important for discriminating among the sampling classes. Although sampling class was a statistically significant effect for most soil chemistry variables, only a few sampling classes were particularly distinct (some Entisols, Histosols, and Inceptisols with high base saturation). For most variables, within‐sampling‐class variability was less than or equal to between‐class variability, although this was not true for all of the characteristics evaluated. No better classification approaches were identified in this analysis. The DDRP sampling classes provide a means for grouping soils for efficiency in regional soil sampling, characterization, and aggregation to mapped areas.