Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
GEOMORPHIC FACTORS INFLUENCING THE SPATIAL DISTRIBUTION OF ERODED CHERNOZEMS IN AUTOMATED DIGITAL SOIL EROSION MAPPING
Form of presentationArticles in international journals and collections
Year of publication2023
Языканглийский
  • Gusarov Artem Viktorovich, author
  • Beylich Achim A., author
  • Buryak Zhanna A., author
  • Lukin Sergey V., author
  • Ukrainsky Pavel A., author
  • Bibliographic description in the original language Zhanna A. Buryak, Pavel A. Ukrainsky, Artyom V. Gusarov, Sergey V. Lukin, Achim A. Beylich. Geomorphic factors influencing the spatial distribution of eroded Chernozems in automated digital soil erosion mapping // Geomorphology. Volume 439, 15 October 2023, 108863.
    Annotation Among the factors influencing the intensity of soil erosion by water, the relief sets the basic conditions for the occurrence of erosion-sedimentation processes: the geometry of the contact surface with water runoff and its primary spatial characteristics. We developed a model that describes the categories of the intensity of soil erosion by water only by geomorphic parameters using a DEM. The study was conducted in arable soils in the southeastern part of the Central Russian Upland, namely, typical Chernozems (TCh) in the forest-steppe zone and ordinary Chernozems (OCh) of the northern steppe of the temperate climate zone. Based on 1146 ground soil-erosion survey points, the relationship between the category of soil erosion intensity and terrain parameters (slope steepness, slope length and exposure, topographic position index, and slope profile curvature, etc.) was analyzed. The results of the revealed dependencies for the studied soils made it possible to develop prognostic models using ordinal logistic regression with an assessment of their accuracy. It was found that the model for OCh soils shows in all parameters a stronger relationship between geomorphic factors and the category of soil erosion intensity than the model for TCh soils. The regression model for OCh exceeds the model for TCh by 12 % in overall accuracy. For both soils, eroded areas are determined with much less accuracy (50–60 %) than non-eroded areas (80–95 %). Based on the modeling results, maps of soil erosion by water were constructed, where belonging to the category of soil erosion intensity was determined by the maximum probability. It is also shown that soil erosion intensity modeling based only on a set of geomorphic predictors is not inferior in accuracy to the conventional visual-expert cartographic method and can be a more objective and efficient alternative in automated digital soil erosion mapping.
    Keywords Soil erosion; Voronic and Vermic Chernozems; Vorony?Calcic Chernozems; Slope; Relief; Morphometry; DEM; Ordinal regression; Central Russian Upland; Belgorod Oblast
    The name of the journal Geomorphology
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=284665&p_lang=2

    Full metadata record