Using geostatistical methods for evaluating organic matter reserves in fallow soils

K.G. Giniyatullin a*, S.S. Ryazanov b**, E.V. Smirnova a***, L.I. Latypova a*****, L.Yu. Ryzhikh a*****

aKazan Federal University, Kazan, 420008 Russia

bResearch Institute for Problems of Ecology and Mineral Wealth Use, Tatarstan Academy of Sciences, Kazan, 420087 Russia

E-mail: *ginijatullin@mail.ru, **erydit@yandex.ru, ***elenavsmirnova@mail.ru, ****leisana-2009@mail.ru, *****ludarigih@mail.ru

Received January 11, 2019


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DOI: 10.26907/2542-064X.2019.2.275-292

For citation: Giniyatullin K.G., Ryazanov S.S., Smirnova E.V., Latypova L.I., Ryzhikh L.Yu. Using geostatistical methods for evaluating organic matter reserves in fallow soils. Uchenye Zapiski Kazanskogo Universiteta. Seriya Estestvennye Nauki, 2019, vol. 161, no. 2, pp. 275–292. doi: 10.26907/2542-064X.2019.2.275-292. (In Russian)

Abstract

In the samples taken layer by layer (every 5 cm) from the old arable horizon of fallow light gray forest soils, the content of organic matter and the bulk density were determined in order to calculate humus reserves. All samples were taken from 50 sampling points distributed along the study site according to a stratified random pattern. The amount of humus reserves was calculated using the geostatistical interpolation methods with regard to the spatial, horizontal, and vertical variability of organic matter content in the old arable horizon, as well as its bulk density and thickness. The results obtained show that the accumulation of soil organic matter (SOM) under deposits occurs primarily in the upper part of the topsoil horizon; the amount of humus that accumulated over 15 years under fallow vegetation is 21% of the total reserve. This paper also discusses the methodological aspects of soil sampling for unbiased estimate of humus reserves.

Keywords: fallow soils, organic matter reserves, geostatistics

Acknowledgments. The study was supported by the Russian Foundation for Basic Research (project no. 17-04-00846).

Figure Captions

Fig. 1. Sampling scheme.

Fig. 2. Variograms of humus reserves, layer by layer: a) 0–5 cm; b) 5–10 cm; c) 10–15 cm; d) 15–b cm and the lower boundary of the arable horizon (e).

Fig. 3. Spatial distribution of humus reserves, layer by layer: a) 0–5 cm; b) 5–10 cm; c) 10–15 cm; d) 15–b cm and the depth of the lower boundary of the arable horizon (e).

Fig. 4. Spatial distribution of the bulk density.

Fig. 5. Humus reserves in the old arable horizon, layer by layer: a) 0–5 cm; b) 5–10 cm; c) 10–15 cm; d) 15–b cm.

Fig. 6. Total humus reserves in the old arable horizon (a) and accumulated humus reserves in the layer of 0–15 cm (b), t/ha.

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