The methods of geomorphometry and digital soil mapping for assessing spatial variability in the properties of agrogray soils on a slope


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The relationships between the morphometric parameters (MPs) of topography calculated on the basis of digital elevation model (АSTER GDEM, 30 m) and the properties of the plow layer of agrogray soils on a slope were analyzed. The contribution of MPs to the spatial variability of the soil moisture reached 42%; to the content of physical clay (<0.01 mm particles), 59%; to the humus content, 46%; to the total nitrogen content, 31%; to the content of nitrate nitrogen, 28%; to the content of mobile phosphorus, 40%; to the content of exchangeable potassium, 45%; to the content of exchangeable calcium, 67%; to the content of exchangeable magnesium, 40%; and to the soil pH, 42%. A comparative analysis of the plow layer within the eluvial and transitional parts of the slope was performed with the use of geomorphometric methods and digital soil mapping. The regression analysis showed statistically significant correlations between the properties of the plow layer and the MPs describing surface runoff, geometric forms of surface, and the soil temperature regime.

About the authors

N. V. Gopp

Institute of Soil Science and Agrochemistry

Author for correspondence.
Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

T. V. Nechaeva

Institute of Soil Science and Agrochemistry

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

O. A. Savenkov

Institute of Soil Science and Agrochemistry

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

N. V. Smirnova

Institute of Soil Science and Agrochemistry

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

V. V. Smirnov

Institute of Computational Technologies

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 6, Novosibirsk, 630090


Copyright (c) 2017 Pleiades Publishing, Ltd.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies