Testing the pedometric evaluation of taxonomic units on soil taxonomy — A step in advancing towards a universal soil classification system

Geoderma ◽  
2016 ◽  
Vol 264 ◽  
pp. 340-349 ◽  
Author(s):  
Erika Michéli ◽  
Vince Láng ◽  
Phillip R. Owens ◽  
Alex McBratney ◽  
Jon Hempel
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Soil Taxonomy

“Black soils” in the Russian Soil Classification system, the US Soil Taxonomy and the WRB: Quantitative correlation and implications for pedodiversity assessment

CATENA ◽  
2021 ◽  
Vol 196 ◽  
pp. 104824 ◽  
Author(s):  
Alexey Sorokin ◽  
Phillip Owens ◽  
Vince Láng ◽  
Zhuo-Dong Jiang ◽  
Erika Michéli ◽  
...  
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Soil Taxonomy ◽  
Quantitative Correlation ◽  
The Us ◽  
Russian Soil

Major Arable Soils of the Tropics :A Descriptive Grouping Based on Clay Mineralogy

2003 ◽  
Author(s):  
Anthony S. R. Juo ◽  
Kathrin Franzluebbers
Keyword(s):  
Classification System ◽  
Clay Mineralogy ◽  
Soil Management ◽  
Soil Classification ◽  
Classification Systems ◽  
Soil Survey ◽  
Arable Soils ◽  
Soil Taxonomy ◽  
Detailed Interpretation ◽  
The Tropics

Several pedological soil classification schemes have been developed to classify soils worldwide based on morphological features, stage of weathering, and to some extent their chemical and physical properties. Three soil classification systems are commonly used as research and teaching tools in the tropics, namely, the USDA Soil Taxonomy classification, the FAO/UNESCO World Soil Legends, and the French soil classification system. Brazil, the country with the largest land area in the tropics, has its own national soil classification system. However, soil survey, classification, and interpretation are costly and time-consuming, and few countries in the tropics have completed soil maps that are at a scale detailed enough to be useful to farmers and land users. In the absence of soil information at state, county or farm level, the authors propose a simple descriptive grouping of major soils in the tropics based on clay mineralogy to facilitate discussion on soil management and plant production in the subsequent chapters of this book. Reference to the Soil Taxonomy classification will be made when such information is available. It should be pointed out that the main purpose of this technical grouping is to provide field workers, especially those who are less familiar with the various soil classification systems, with a simple framework for planning soil management strategies. It by no means replaces the national and international soil taxonomy and classification systems that are designed for communication among soil scientists and for more detailed interpretation of soil survey data and land-use planning. This technical scheme classifies major arable soils in the tropics into four groupings according to their dominant clay mineralogy. They are • kaolinitic soils • oxidic soils • allophanic soils • smectitic soils Kaolinitic soils are deeply weathered soils with a sand, loamy sand, or sandy loam texture in the surface horizon and a clayey B horizon (20-60%). Silt content is low (< 20%) throughout the profile. Kaolinite (> 90%) is the dominant mineral in the clay fraction. These soils have an effective CEC of less than 12 cmol/kg of clay in the lower B horizon. Kaolinitic soils have a relatively high bulk density, especially in the clayey subsoil horizons (> 1.40 Mg/m3). The structure of the subsoil horizons is usually massive or blocky.

Comparisons between USDA soil taxonomy and the Australian Soil Classification system II: Comparison of order, suborder and great group taxa

Geoderma ◽  
2018 ◽  
Vol 322 ◽  
pp. 48-55 ◽  
Author(s):  
Philip Hughes ◽  
Alex B. McBratney ◽  
Budiman Minasny ◽  
Jingyi Huang ◽  
Erika Micheli ◽  
...  
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Soil Taxonomy ◽  
Australian Soil

scholarly journals Comparing Uganda's indigenous soil classification system with World Reference Base and USDA Soil Taxonomy to predict soil productivity

2020 ◽  
Vol 22 ◽  
pp. e00296
Author(s):  
Stewart Kyebogola ◽  
Lee C. Burras ◽  
Bradley A. Miller ◽  
Onesimus Semalulu ◽  
Russell S. Yost ◽  
...  
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Soil Productivity ◽  
Soil Taxonomy ◽  
Reference Base ◽  
World Reference Base

Ecological niches of major soil types in Russia: Geographical aspects of the new Russian soil classification system

2009 ◽  
Vol 42 (9) ◽  
pp. 967-975 ◽  
Author(s):  
V. D. Tonkonogov ◽  
I. I. Lebedeva ◽  
M. I. Gerasimova ◽  
S. F. Khokhlov
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Soil Types ◽  
Ecological Niches ◽  
Russian Soil

Cross-Reference System for Translating Between Genetic Soil Classification of China and Soil Taxonomy

2006 ◽  
Vol 70 (1) ◽  
pp. 78-83 ◽  
Author(s):  
X. Z. Shi ◽  
D. S. Yu ◽  
E. D. Warner ◽  
W. X. Sun ◽  
G. W. Petersen ◽  
...  
Keyword(s):  
Reference System ◽  
Soil Classification ◽  
Soil Taxonomy ◽  
Cross Reference

Computerized Cone Penetration Test for Soil Classification

2008 ◽  
Vol 2053 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Murad Y. Abu-Farsakh ◽  
Zhongjie Zhang ◽  
Mehmet Tumay ◽  
Mark Morvant
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Cone Penetration Test ◽  
Classification Systems ◽  
Fuzzy Classification ◽  
Classification Methods ◽  
Penetration Test ◽  
Cone Penetration ◽  
Cone Tip Resistance ◽  
Tip Resistance

Computerized MS-Windows Visual Basic software of a cone penetration test (CPT) for soil classification was developed as part of an extensive effort to facilitate the implementation of CPT technology in many geotechnical engineering applications. Five CPT soil engineering classification systems were implemented as a handy, user-friendly, software tool for geotechnical engineers. In the probabilistic region estimation and fuzzy classification methods, a conformal transformation is first applied to determine the profile of soil classification index (U) with depth from cone tip resistance (qc) and friction ratio (Rf). A statistical correlation was established in the probabilistic region estimation method between the U index and the compositional soil type given by the Unified Soil Classification System. Conversely, the CPT fuzzy classification emphasizes the certainty of soil behavior. The Schmertmann and Douglas and Olsen methods provide soil classification charts based on cone tip resistance and friction ratio. However, Robertson et al. proposed a three-dimensional classification system that is presented in two charts: one chart uses corrected tip resistance (qt) and friction ratio (Rf); the other chart uses qt and pore pressure parameter (Bq) as input data. Five sites in Louisiana were selected for this study. For each site, CPT tests and the corresponding soil boring results were correlated. The soil classification results obtained using the five different CPT soil classification methods were compared.

scholarly journals Classification and assessment of agricultural potential of the lower Niger floodplain soils of Atani, Southeastern Nigeria

Agro-Science ◽  
2020 ◽  
Vol 19 (3) ◽  
pp. 51-61
Author(s):  
F.C. Okenmuo ◽  
C.O. Anochie ◽  
M.E. Ukabiala ◽  
C.L.A. Asadu ◽  
P.K. Kefas ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Soil Classification ◽  
Exchange Capacity ◽  
Available Phosphorus ◽  
Soil Taxonomy ◽  
Southeastern Nigeria ◽  
Reference Base ◽  
Anambra State ◽  
Agricultural Potential ◽  
Capability Evaluation

The soils of Atani floodplain in Anambra State of Nigeria contribute significantly to the food production of the State, hence the need to understand their behavior in order to enhance their management and productivity. Profile pits were sited along three physiographic units viz: levee crest, levee  slope and flood basin. Soil samples were collected from the profile horizons and subjected to standard laboratory procedures. Characterization of the soils was based on their morphological, physical and chemical properties. Soil classification was carried out using the USDA Soil Taxonomy and correlated with FAO/IUSS World Reference Base. Its agricultural potential was assessed using the fertility capability classification. The soils were deep. Topsoil colour was dominantly blackish black (10YR 3/2). Mottles were pervasive; an indication of impeded drainage conditions. The soils were predominantly fine textured. Soil pH values ranged from 4.8 to 6.2. Exchangeable Calcium was low to moderate (2.6-8.2 cmol kg−1); Magnesium was moderate to high (1.6-6.8 cmol kg−1); Sodium was high to very high (1.0-2.5 cmol kg−1), while potassium was high (1.2-4.2 cmol kg−1). Cation  exchange capacity values ranged from 11.6 to 42.6 cmol kg−1. Total nitrogen was very low to low (0.14-1.12 g kg−1), while organic carbon was low to moderate (0.4-15.2 g kg−1). Available phosphorus was very low to high ranging from 0.93 to 31.71 mg kg−1 while base saturation ranged from 64 to 93%. The soils were classified as Typic Fluvaquents (Typic Fluvisols), Fluvaquentic Endoaquepts (Endostagnic Cambisols) and Fluventic Endoaquepts (Endostagnic Cambisols) according to the USDA and FAO/IUSS. The fertility capability evaluation of the soils revealed that the pedons were Lgn in classification due to limitations in drainage. Key words: alluvium, cambic horizon, Inceptisols, lithologic discontinuity

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