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Estimation of Water Conductivity of Typical Chernozem in the Depressed Zone of the Water-Regulating Forest Belt

  • LAND USE AND FARMING SYSTEMS
  • Published:
Russian Agricultural Sciences Aims and scope

Abstract

The studies aimed to assess the change in the absorbency of the soil with distance from the forest belt, including the depressed zone. The work was carried out in 2018–2022 in a long-term field stationary experience in contour-reclamation agriculture in the Kursk region. The assessment was carried out for erosion-threatening slopes of southern and northern exposures with an agroforest reclamation complex, represented by contour-parallel placed water-regulating two-row forest belts with a water-catching ditch in the row-spacing and a masonry-cum-earth dam along the lower edge. The soil was a typical medium-thick low-humus heavy loamy chernozem. To determine the width of the depressed zone, the yield of crops was studied at 5, 10, and 25 m from the forest belt up and down the slope, the control was the upland. A significant decrease in harvest, regardless of weather conditions, was observed at 5 m; for buckwheat it was 68.8–75.0%, spring barley 40.0–65.7%, winter wheat 24.9–56.9% compared to control. The absorbing capacity of the soil was determined on perennial grasses and spring barley in the depressed zone by the method of small flooded areas and sprinkling of runoff areas. The intensity of pressure absorption in the crops of perennial grasses on the soils of the slope of the northern exposure was higher than in the crops of barley by 55%, of the southern, four times. The intensity of water absorption, estimated by the method of sprinkling of runoff plots, in crops of perennial grasses on the slope of the northern exposure was 0.6 mm/min, of the southern exposure 0.8 mm/min, which was significantly higher than in barley crops. To increase the absorbency of the soil, both during the period of snowmelt and during heavy rains, it is recommended to sow perennial grasses along forest strips more than 5 m wide.

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REFERENCES

  1. Montanarella, L., Pennock, D.J., McKenzie, N., et al., World’s soils are under threat, Soil, 2016, vol. 2, no. 1, pp. 79–82. https://doi.org/10.5194/soil-2-79-2016

    Article  CAS  ADS  Google Scholar 

  2. Suleimanov, A.R., Nazyrova, F.I., Garipov, T.T., et al., Water and wind erosion influence on buffering capacity of soils of republic Bashkortostan steppe regions, Ross. S-kh. Nauka, 2021, no. 5, pp. 41–45.

  3. Shuai Ma, Liang-Jie Wang, Hui-Yong Wang, et al., Impacts of land use land cover and soil property changes on soil erosion in the black soil region, China, J. Environ. Manage., 2023, vol. 328, p. 117024. https://www.sciencedirect.com/science/article/pii/S030147972202597X?via%3Dihub. Cited January 10, 2023. https://doi.org/10.1016/j.jenvman.2022.115130

  4. Ivanov, A.L., Savin, I.Y., Stolbovoy, V.S., et al., Map of anthropogenic soil erosion of Russia, Dokl. Earth Sci., 2020, vol. 493, no. 2, pp. 654–657. https://doi.org/10.1134/S1028334X20080097

    Article  CAS  ADS  Google Scholar 

  5. Litvin, L.F., Kiryukhina, Z.P., Krasnov, S.F., et al., Dynamics of agricultural soil erosion in European Russia, Eurasian Soil Sci., 2017, vol. 50, no. 11, pp. 1344–1353. https://doi.org/10.1134/S1064229317110084

    Article  ADS  Google Scholar 

  6. Litvin, L.F., Kiryukhina, Z.P., Krasnov, S.F., et al., Dynamics of agricultural soil erosion in Siberia and Far East, Eurasian Soil Sci., 2021, vol. 54, no. 1, pp. 150–160. https://doi.org/10.1134/S1064229321010075

    Article  ADS  Google Scholar 

  7. Juang, J.-Y., Zhang, J.-C., Yang, Y., et al., Effect of forest shelter-belt as a regional climate improver along the old course of the Yellow River, China, Agrofor. Syst., 2017, vol. 91, pp. 393–401. https://doi.org/10.1007/s10457-016-9928-9

    Article  Google Scholar 

  8. Sukhanovskii, Yu.P., Prushchik, A.V., Vytovtov, V.A., et al., Improving the methodology for assessing the consequences of soil erosion in field experiments, Dostizh. Nauki Tekh. APK, 2022, vol. 36, no. 8, pp. 44–48.

    Google Scholar 

  9. Ivonin, V.M., Soil erosion at snowmelt runoff on slopes with forest belts, Nauchn. Zh. Ross. Nauchno-Issled. Inst. Probl. Melior., 2021, vol. 11, no. 2, pp. 126–143. https://doi.org/10.31774/2222-1816-2021-11-2-126-143

    Article  Google Scholar 

  10. Kulik, A.V. and Gordienko, O.A., Conditions of snowmelt runoff formation on slopes in the south of the Volga Upland, Eurasian Soil Sci., 2022, vol. 55, pp. 36–44. https://doi.org/10.1134/S1064229322010094

    Article  ADS  Google Scholar 

  11. Kulik, A.V., Gordienko, O.A., and Shaifullin, M.R., Dynamics of soil freezing and thawing in the agroforestry landscape, Byull. Pochv. Inst. im. V.V. Dokuchaeva, 2022, no. 112, pp. 160–180. https://doi.org/10.19047/0136-1694-2022-112-160-180

  12. Zdorovtsov, I.P. and Dubovik, D.V., Quality of grain of winter wheat cultivated in a system with contour-reclamation organization of the territory of forest-steppe agricultural landscapes, Dostizh. Nauki Tekh. APK, 2006, no. 3, pp. 36–38.

  13. Godunov, S.I. and Pavlov, P.V., Adaptation of a depression zone in the ecotones of a shelterbelt forest with an intermittent tree stand profile to agricultural production, Vestn. Voronezh. Gos. Univ., Ser.: Geogr., Geoekol., 2012, no. 2, pp. 105–107.

  14. Sukhanovskii, Yu.P., Vytovtov, V.A., Prushchik, A.V., et al., Assessment of soil infiltration capacity by using  portable rainfall simulator, Byull. Pochv. Inst. im. V.V. Dokuchaeva, 2015, no. 78, pp. 31–41. https://doi.org/10.19047/0136-1694-2015-78-31-41

  15. Sukhanovskii, Yu.P., Akimenko, A.S., Dudkina, T.A., et al., Using mathematical statistics methods to increase the information content of crop yield data in crop rotations of multifactor field experience, Mezhdunar. S-kh. Zh., 2020, vol. 6, no. 378, pp. 94–97. https://doi.org/10.24411/2587-6740-2020-16124

  16. Akimenko, A.S., Dudkina, T.A., Dolgopolova, N.V., et al., Methodological bases for obtaining a preplanned amount of food grain in crop rotations in the Central Chernozem region, Zemledelie, 2021, no. 4, pp. 10–13. https://doi.org/10.24411/0044-3913-2021-10403

  17. Poluektov, E.V. and Batishchev, I.V., Monitoring of water permeability and erosion processes at different methods of primary tillage of chernozem in southern Russia, Nauchn. Zh. Ross. Nauchno-Issled. Inst. Probl. Melior., 2021, vol. 11, no. 2, pp. 158–173. https://doi.org/10.31774/2222-1816-2021-11-2-158-173

    Article  Google Scholar 

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Funding

The work was carried out within the framework of the state assignment of the Kursk Federal Agrarian Research Center on topic no. FGZU–2022–0002.

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Correspondence to A. V. Prushchik.

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Translated by P. Kuchina

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Prushchik, A.V., Zarudnaya, T.Y., Vytovtov, V.A. et al. Estimation of Water Conductivity of Typical Chernozem in the Depressed Zone of the Water-Regulating Forest Belt. Russ. Agricult. Sci. 49 (Suppl 3), S389–S395 (2023). https://doi.org/10.3103/S1068367423090148

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  • DOI: https://doi.org/10.3103/S1068367423090148

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