scholarly journals DO WE NEED THE GENUS LEVEL IN THE RUSSIAN SOIL CLASSIFICATION SYSTEM?

2018 ◽  
pp. 90-98
Author(s):  
M. I. Gerasimova
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Parent Material ◽  
Soil Processes ◽  
Genus Level ◽  
Red Color ◽  
Russian Soil ◽  
Recent Classification ◽  
Soil Surveys

The level of genus in the “Classification and diagnostics of soils of the USSR”, 1977 is discussed as applied for diverse purposes. It was very often required in soil surveys to indicate details of soil processes, current or inherited features when compiling small- and medium-scale soil maps. In the recent classification of Russian soils, genus level is mostly used for the analytical characteristics of soils, whereas its former functions were transferred to the subtype level; for example, red color of parent material corresponds to “red-profile” subtype. In the updated classification system of soils of Russia, it is proposed to expand the sphere of the genus level application over a broader set of phenomena, to update the criteria for different genera, and to arrange genera in groups like those for genetic properties, which serve as criteria to identify subtypes. The following preliminary groups of genera may be specified: analytical including genera related to chemical soil pollution, lithological (particular parent materials), temporal for ephemeral features, pedogenetic – disclosing or indicating mechanisms of soil processes.

An attempt of integrating the systematic of urban soils into the new Russian soil classification system

2013 ◽  
Vol 64 (1) ◽  
pp. 24-28 ◽  
Author(s):  
Tatiana Prokof'eva ◽  
Maria Gerasimova ◽  
Irina Lebedeva ◽  
Irina Martynenko
Keyword(s):  
Classification System ◽  
Urban Soils ◽  
Soil Classification ◽  
Parent Material ◽  
Simultaneous Formation ◽  
Natural Properties ◽  
Russian Soil ◽  
Central Image ◽  
Diagnostic Horizons ◽  
Diagnostic Horizon

Abstract An attempt to incorporate the popular systematic of urban soils proposed by Marina Stroganova with colleagues into the new Russian soil classification system is presented. It was facilitated by the coincidence of approaches in both systems: priority of diagnostic horizons and their combinations as criteria to identify soil types being the main units in all Russian classifications. The central image of urban soils . urbanozem . in Stroganova.s system found its due place in the order of stratozems (urbostratozem type) owing to its diagnostic horizon . urbic, which combines artificial and natural properties, and to its simultaneous formation with the parent material.

scholarly journals Floodplain soils on the soil map of the Russian Federation, scale 1 : 2.5 M, 1988, in the Russian soil classification

2021 ◽  
pp. 5-30
Author(s):  
N. V. Savitskaya ◽  
T. V. Ananko ◽  
M. I. Gerasimova
Keyword(s):  
Russian Federation ◽  
Classification System ◽  
Alluvial Soil ◽  
Soil Classification ◽  
New Classification ◽  
Soil Map ◽  
Floodplain Soils ◽  
Russian Soil ◽  
River Valleys

The development of the digital model of the soil map of Russia derived of the map of the Soviet Russian Federation, 1988, compiled in Dokuchaev Soil Science Institute, comprises the transfer of soil names in the initial legend to those in the new classification system of Russian soils (2004). Floodplain soils (only native) are represented by seven legend units (out of 205) that were named in terms of soil classification of USSR, 1977, and part of their names indicated ‘landscapes’ rather than soils, which disagrees with the principles of the new classification system. Basing on numerous publications and following the rules of the new system, soils were renamed. Most of them were referred to alluvial soil types within the synlithogenic trunk (Fluvisols), and their new names indicate both their properties and their zonal attachment. In order to obtain more adequate patterns of soils in river valleys additional soils were introduced including stratified-alluvial soils in the trunk of primary pedogenesis (Regosols). Simultaneously, the composition of polygons in the database was revised in accordance with regional data; human-modified soils were introduced (agro-soils and urbo-soils). 

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

“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

Problems of the Cryogenic Soils’ Diagnostics in the Recent Russian Soil Classification System

2019 ◽  
Vol 52 (10) ◽  
pp. 1170-1174 ◽  
Author(s):  
A. V. Lupachev ◽  
S. V. Gubin ◽  
M. I. Gerasimova
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Cryogenic Soils ◽  
Russian Soil

Amalgamation and Harmonization of Soil Survey Reports into a Multi-purpose Database

2020 ◽  
Author(s):  
Shane Robert Furze ◽  
Paul Arp
Keyword(s):  
New Brunswick ◽  
Soil Properties ◽  
Vegetation Type ◽  
Soil Classification ◽  
Parent Material ◽  
Soil Survey ◽  
Soil Horizon ◽  
Soil Conditions ◽  
Soil Parent Material ◽  
Soil Surveys

There is a growing demand for standardized, easily accessible and detailed information pertaining to soil and its variability across the landscape. Typically, this information is only available for select areas in the form of local or regional soil surveys reports which are difficult, and costly, to develop. Additionally, soil surveying protocols have changed with time, resulting in inconsistencies between surveys conducted over different periods. This article describes systematic procedures applied to generate an aspatial, terminologically- and unit-consistent, database for forest soils from county-based soil survey reports for the province of New Brunswick, Canada. The procedures involved (i) amalgamating data from individual soil surveys following a hierarchical framework, (ii) summarizing and grouping soil information by soil associations, (iii) assigning correct soil associates to each association, with each soil associate distinguished by drainage classification, (iv) assigning pedologically-correct horizon sequences, as identified in the original soil surveys, to each soil associate, (v) assigning horizon descriptors and measured soil properties to each horizon, as outlined by the Canadian System of Soil Classification, and (vi) harmonizing units of measurement for individual soil properties. Identification and summarization of all soil associations (and corresponding soil associates) was completed with reference to the principal soil-forming factors, namely soil parent material, topographic surface expressions, soil drainage, and dominant vegetation type(s). This procedure, utilizing 17 soil surveys, resulted in an amalgamated database containing 106 soil associations, 243 soil associates, and 522 soil horizon sequences summarizing the variability of forest soil conditions across New Brunswick.

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