from 01.01.2017 until now
UDC 631.559
UDC 528.8
The purpose of this work was to assess the decrease in crop yields depending on the annual probability of excess of the area of development of soil erosion. The performed studies make it possible to use the results to predict the possible value of crop yield reduction depending on the development of soil erosion. This is especially important when planning cost-effective crop production on eroded land. The research results can be used to calculate the economic risks of production depending on the amount of crop yield shortfall.
soil erosion, yield losses, crops, probability of excess
1. Gao B. NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space // Remote Sensing of Environment. 1996. Vol. 58. No. 3. pp. 257-266. doi:https://doi.org/10.1016/S0034-4257(96)00067-3.
2. Prognoz urozhaynosti v zernovyh edinicah s pomosch'yu geoinformacionnoy sistemy dlya ocenki effektivnosti realizacii proektov melioracii / M.S. Zver'kov, I.S. Mazurova // Moskovskiy ekonomicheskiy zhurnal. 2025. T. 10, № 12. S. 404-420. doi:https://doi.org/10.55186/2413046X_2025_10_12_295.
3. Provesti issledovaniya i vypolnit' ocenku snizheniya urozhaynosti sel'skohozyaystvennyh kul'tur na melioriruemyh zemlyah, podverzhennyh erozionnym processam, s pomosch'yu metodov distancionnogo zondirovaniya i operativnogo monitoringa / otchet o NIR; № gos. reg. 224013100558-1; № gos. Zadaniya № 082-00079-23-01; Kolomna, FGBNU VNII «Raduga», 2023. 112 s.
4. Suitability of S factor algorithms for soil loss estimation at gently sloped landscapes / Liu H. Fohrer N. [et al.] // Catena. 2009. DOI:https://doi.org/10.1016/j.catena.2009.02.001.
5. Modification of the RUSLE slope length and steepness factor (LS-factor) based on rainfall experiments at steep alpine grasslands / Schmidt S. Tresch S. Meusburger K. // MethodsX. 2019. DOI:https://doi.org/10.1016/j.mex.2019.01.004.
6. Wischmeier, W.H., Smith, D.D. (1978): Predicting rainfall erosion losses - A guide to conservation planning. Agriculture Handbook No. 537: US Department of Agriculture, Washington DC.
7. Moore, I.D., Nieber, J.L. (1991): Landscape assessment of soil erosion and nonpoint source pollution. J. Minnesota Acad. Sci., 55, 18-25.
8. The new assessment of soil loss by water erosion in Europe / Panagos P., Borrelli P., Poesen J., Ballabio C. et. al. // Environmental Science and Policy. 2015. Vol. 54, P. 438–447. doi:https://doi.org/10.1016/j.envsci.2015.08.012.
9. Quantification of Soil–Water Erosion Using the RUSLE Method in the Mékrou Watershed (Middle Niger River) / Attoubounou R.A.; Diawara H.; Ludwig R.; Adounkpe J. // ISPRS Int. J. Geo-Inf.. 2025. Vol. 14. P. 28. doi:https://doi.org/10.3390/ijgi14010028.
10. Eroziya i ohrana pochv: uch. dlya vuzov / M.S. Kuznecov, G.P. Glazunov. M.: Yurayt, 2026. 387 s.
11. Metodicheskie ukazaniya po opredeleniyu opasnogo urovnya vodnoy i vetrovoy erozii / G.T. Balakay, N.I. Balakay, A.N. Babichev, L.A. Voevodina, L.I. Yurina : metolich. uk. Novocherkassk, FGBNU «RosNIIPM», 2015. 23 s.
