An Experiment in Ordination of Some Soil Profiles

Hole, Frank; Hironaka, M.

doi:10.2136/sssaj1960.03615995002400040028x

Cited by 60 publications

(18 citation statements)

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“…Ordination has long been employed as a method of analysis in a variety of ecologic and environmental studies (of vegetation by Loucks, 1962; of bird communities by Beals, 1960; of soils by Hole and Hironaka, 1960; of para-and paleoecology by Feldhausen, 1967, andPark, 1968; and of numerical taxonomy by Kaesler, 1969, andRowell, 1969). Goff and Cottam (1967) and Davis (1970) Feldhausen and Ali, 1976; and bottom sediment trace metal contents by Doyle and Feldhausen, 1981 ).…”

Section: Ordination and Other Statistical Methodsmentioning

confidence: 99%

Ordination of Trace Metals in Syacium papillosum (Dusky Flounder) from the Eastern Gulf of Mexico

Feldhausen¹,

Johnson

1983

negs

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Section: Ordination and Other Statistical Methodsmentioning

confidence: 99%

Ordination of Trace Metals in Syacium papillosum (Dusky Flounder) from the Eastern Gulf of Mexico

Feldhausen¹,

Johnson

1983

negs

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“…There should be a taxonomic relation between soil classes at any taxonomic level; so far, no spatial model has been used to account for these relations (Minasny & McBratney, ). The idea of calculating taxonomic distances to express the level of similarity and dissimilarity between different soil taxonomic units was first applied in the 1960s (Hole & Hironaka, ), but only with local data and was of limited scope. Taxonomic distance was resurrected in the 21st century by Minasny & McBratney (), who incorporated it between soil classes in a supervised classification routine (such as the decision tree) into spatial prediction and digital mapping of soil classes.…”

Section: Digital Mapping Of Soil Classesmentioning

confidence: 99%

Pedology and digital soil mapping (DSM)

Minasny

Malone

et al. 2019

European J Soil Science

175

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Pedology focuses on understanding soil genesis in the field and includes soil classification and mapping. Digital soil mapping (DSM) has evolved from traditional soil classification and mapping to the creation and population of spatial soil information systems by using field and laboratory observations coupled with environmental covariates. Pedological knowledge of soil distribution and processes can be useful for digital soil mapping. Conversely, digital soil mapping can bring new insights to pedogenesis, detailed information on vertical and lateral soil variation, and can generate research questions that were not considered in traditional pedology. This review highlights the relevance and synergy of pedology in soil spatial prediction through the expansion of pedological knowledge. We also discuss how DSM can support further advances in pedology through improved representation of spatial soil information. Some major findings of this review are as follows: (a) soil classes can be mapped accurately using DSM, (b) the occurrence and thickness of soil horizons, whole soil profiles and soil parent material can be predicted successfully with DSM techniques, (c) DSM can provide valuable information on pedogenic processes (e.g. addition, removal, transformation and translocation), (d) pedological knowledge can be incorporated into DSM, but DSM can also lead to the discovery of knowledge, and (e) there is the potential to use process‐based soil–landscape evolution modelling in DSM. Based on these findings, the combination of data‐driven and knowledge‐based methods promotes even greater interactions between pedology and DSM. Highlights Demonstrates relevance and synergy of pedology in soil spatial prediction, and links pedology and DSM. Indicates the successful application of DSM in mapping soil classes, profiles, pedological features and processes. Shows how DSM can help in forming new hypotheses and gaining new insights about soil and soil processes. Combination of data‐driven and knowledge‐based methods recommended to promote greater interactions between DSM and pedology.

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“…Another way of calculating the taxonomic distance between soil classes is using ordination (Hole and Hironaka, 1960), when a soil database, which contains the morphological, physical, and chemical properties of the soil profile, is present. Discriminant analysis is used to predict the soil classes from observed soil physical and chemical properties.…”

Section: Defining Taxonomic Distance Between Soil Classesmentioning

confidence: 99%