R.D. Petrosyan1, P.M. Shilov2, A.L. Ilyin1, A.A. Markov1, V.V. Sharkevich1
1Vladimir Agricultural Research Institute, ul. Tsentral’naya, pos. Novyi, Suzdal’skii r-n, Vladimirskaya obl., 3601261, Russian Federation
2V.V. Dokuchaev Soil Science Institute, Pyzhevskii per. 7, str. 2b, Moskva, 119017, Russian Federation
Summary. The spatial heterogeneity of organic matter (OM) reserves within the experimental field was studied. A relational model of a spatial database was developed to store and process data on OM reserves using MapInfo GIS. The experimental field is characterized by low contrast spottiness of gray forest arable soils. The reserve of OM in soils varies from 62 to 92 t/ha in 0-40 cm layer. The largest reserve of OM is found in gray forest medium podzolized arable soils with the 2nd humus horizon (92 t/ha ± 4.5 t/ha) because of high humus concentration in the subsurface 20-40 cm horizon. The relatively high value of OM stock was found in gray forest weakly podzolized arable soil (71 t/ha ± 2.5 t/ha). The average values of reserves of OM of gray forest medium podzolized arable soil is 80 t/ha ± 5.0 t/ha. The lowest values of OM stocks was found in typical arable gray forest soil (62 t/ha ± 1.9 t/ha). The average value of reserve of OM in soils of the experimental field was 72 t/ha ± 1.9 t/ha. Statistical analysis revealed significant differences between the average values of stocks for the field, for the typical gray forest arable soils and for the gray forest medium podzolized arable soil with the second humus horizon. The difference between the field, gray forest weakly podzolized and gray forest medium podzolized arable soils was not statistically significant. One of the main factors of the revealed variation is the initial spatial inhomogeneity of soil cover, which should be taken into account with the developing of modern technologies of precision farming. Application of GIS-technologies enables to set up a database for spatial data, which is necessary for explaining the reasons of inhomogeneity of OM stocks and for visualization of the analysis results.
Keywords: soil organic matter, database of spatial data, geographic information system.
Author Details: R.D. Petrosyan, junior research fellow (e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.); P.M. Shilov, engineer; A.L. Ilyin, programming technician; A.A. Markov, junior research fellow; V.V. Sharkevich, research fellow.
For citation: Petrosyan R.D, Shilov P.M., Ilyin A.L., Markov A.A., Sharkevich V.V. Spatial Heterogeneity of Organic Matter Content in Arable Gray Forest Soils of Vladimir Opolie. Dostizheniya nauki i tekhniki APK. 2016. V.30. No. 12. Pp. 48-50 (in Russ.).