Abstract

The article is devoted to the theory and practice of applying the concept of land degradation neutrality (LDN) for the conditions of the Belgorod region of the Russian Federation. Its basic version is considered, based on the analysis of three sub-indicators, where the assessment of land degradation trends in the study area is based on the analysis of changes in the main indicator - the percentage of degraded land from the total area of the territory, and three sub-indicators of SDG 15.3.1: changes in land productivity, changes in land cover and dynamics of soil organic carbon reserves. As an adjustment to the basic approach of the LDN, it is proposed to supplement it with regional data on soil characteristics. The following soil properties can be recommended as necessary for considering in the evaluation model - the content of humus and nutrients, as well as pH, these characteristics, on the one hand, are largely related to soil fertility, and on the other hand, they are most at risk of degradation changes during human exploitation of soils. Modif cation of the LDN methodology allows not only to clarify the central (umbrella) indicator, but also to identify the relationship of the latter with indicators of agricultural production, in particular, gross crop yields. Analysis of the data using the modif ed LDN method showed that 64.8% of the region was degraded (which is almost 2 times higher than the values obtained by the basic LDN method), which leads to a signif cant loss of crop yield. The article proposes an algorithm for assessing the relationship between land degradation and gross crop yields based on correlation and regression analysis (spatial models).

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