Quantitative approach to classification of gray forest soils in the Volga-Kama forest-steppe region

被引：0

作者：

Koposov, G. F. ^{[1
]}

Valeeva, A. A. ^{[1
]}

Aleksandrova, A. B. ^{[2
]}

机构：

[1] Privolzhskii Fed Univ, Kazan 420008, Russia

[2] Tatarstan Acad Sci, Inst Problems Ecol & Management Subsurface Resour, Kazan 420087, Tatarstan, Russia

来源：

EURASIAN SOIL SCIENCE | 2014年 / 47卷 / 10期

关键词：

central image; virtual image; reference soil; gray forest soils; classification; UNIFORMITY;

D O I：

10.1134/S1064229314100056

中图分类号：

S15 [土壤学];

学科分类号：

0903 ; 090301 ;

摘要：

On the basis of factual data obtained by the Soil Science Department of the Privolzhskii Federal University and available from literary, virtual reference "images" of gray forest soils as distinguished in classification systems of 1977 and 2004 have been obtained with the use of the methods of multivariate statistics for the Volga-Kama forest-steppe region. Discriminant functions and have been obtained, and classification functions have been developed with the help of numerical methods to diagnose new representatives of gray forest soils. The virtual "images" of the soils can be used for the improvement of soil systematization and for solving various applied problems of land use.

引用

页码：980 / 986

页数：7

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