Krasnoyarsk, Krasnoyarsk, Russian Federation
VAK Russia 4.1.2
VAK Russia 4.1.3
VAK Russia 4.1.4
VAK Russia 4.1.5
VAK Russia 4.2.1
VAK Russia 4.2.2
VAK Russia 4.2.3
VAK Russia 4.2.4
VAK Russia 4.2.5
VAK Russia 4.3.3
VAK Russia 4.3.5
UDC 631.6.02
The objective of the study is to examine the susceptibility of agricultural landscapes to erosion pro-cesses depending on relief conditions and slope exposure for further agricultural landscape zoning. Expe-rimental field studies were conducted in 2018–2021 on the intercuesta erosion-denudation terrain. The study objects were the southern and northwestern slopes of the terrain with slopes from 3 to 9 deg-rees. The erosion potential of rainfall over the years of observations was calculated for the territory of the Balakhta agricultural landscape. The dependence of rainfall intensity on its duration had the form of power functions f (T) = at/x (x is the daily precipitation layer of a given probability at an average intensity at for a duration of T min). For this purpose, the precipitation layer was calculated at 1 % probability. The relief conditions of the experimental site (surface slope) were determined using an ES-55 electronic tacheome-ter, and the runoff plots were determined using an SDL-55 high-precision level (Japan). The experimental design included six variants depending on the surface dip, with five replicates. Microfluids without fencing of the runoff filter area were used to study erosion from rainfall runoff. The minimum (360.16 g/m2) soil loss was observed in the variant with a surface slope of 3°, and the maximum (424.76 g/m2) – with a slope of 9° on the southern slope. The effect of the "slope" factor was manifested in a statistically significant (p < 0.001) excess of the average erosion across years and variants on the northwestern slope compared to the southern slope (401.48 versus 377.90 g/m2). The "year" factor effect manifested itself in statistically significant (p < 0.001) interannual variation in erosion averaged across variants and slopes. Minimum ero-sion (374.99 g/m2) was recorded in 2019, while the maximum (417.16 g/m2) was recorded in 2021. A three-way ANOVA of the summary data table for the southern and northwestern slopes, with "year," "variant," and "slope" as factors, revealed a high statistical significance for the influence of all of these factors on erosion, as well as for all interaction effects between the factors.
agricultural landscapes, erosion, heavy rainfall, washout, dips, slope
1. Golovanov AI, Kozhanov ES, Sukharev YuI. Landscape studies. Moscow: KoloS; 2005. 216 p. (In Rus.).
2. Asanova GA, Merzlyakov OE, Tatarintsev VL, et al. Analysis of the sustainability of agrolandscapes in the forest-steppe zone of the Krasnoyarsk Territory and measures for their protection. Sustainable development of mountainous territories. 2023.;15(2):264-274. (In Rus.).
3. Badmaeva YuV, Morev IO, Kudrin VS. Sustainability of agro-landscapes of the Minusinsk forest-steppe of the Krasnoyarsk Territory. Astrakhan Bulletin of Environmental Education. 2021;1:93-96.
4. Demidenko GA. The role of landscape foundations in the environmental assessment of agricultural lands. Bulletin of KSAU. 2018;6:3-6. (In Rus.).
5. Badmaeva SE, Yevtushenko SV, Merkusheva MG, et al. Innovative technologies for increasing the productivity of agricultural landscapes in Eastern Siberia. Krasnoyarsk: KSAU; 2017. 376 p. (In Rus.).
6. Demidov VV, Makarov OA. Physical foundations of soils: mechanism, patterns of manifestation and forecasting. Moscow: Maks Press; 2021. 192 p. (In Rus.).
7. Badmaeva YuV, Morev IO. Moisture supply of agro-landscapes of the Minusinsk forest-steppe. Mos-cow Economic Journal. 2021;10:52-58. (In Rus.).
8. Golubev IA. Clarification of the regional methodology for calculating potential soil loss from melt water for the northern forest-steppe of Central Siberia. Bulletin of the Russian Geographical Society. 2023;155(3-4):17-29. (In Rus.).
9. Konokotin NG, Konokotin DN. Economic efficiency of anti-erosion organization of the territory. Land management, cadastre and land monitoring. 2016;4:29-33. (In Rus.).
10. Kuznetsov MS, Demidov VV. Soil erosion in the forest-steppe zone of central Russia: modeling, pre-vention and environmental consequences. Moscow: Poltex; 2002. 184 p. (In Rus.).
11. Golosov VN. Water erosion of soils in conditions of climate change and land use: current state and forecast. Soil erosion and riverbed processes. 2024;1:19-34. (In Rus.).
12. Maltsev KA, Ermolaev OP. Potential erosion losses of soil on arable lands of the European part of Russia. Soil science. 2019;12:1502-1512. (In Rus.).
13. Bezrukikh VA. Produktivnost' pochvennogo pokrova landshaftov staroosvoyennykh rayonov Krasnoyarskogo kraya kak ekonomicheskaya predposylka. Problemy sovremennoy ekonomiki. 2009;1. (In Rus.).
