APPLICATION OF BASIC AND MODIFIED METHOD FOR ASSESSING THE LAND DEGRADATION NEUTRALITY IN THE CONTEXT OF STUDYING THE RELATIONSHIP BETWEEN DEGRADATION AND AGRICULTURAL PRODUCTION

E. V. TSVETNOV, N. A. MARAKHOVA
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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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土地退化中性评价的基本与修正方法在退化与农业生产关系研究中的应用
本文致力于在俄罗斯联邦别尔哥罗德地区的条件下应用土地退化中性(LDN)概念的理论和实践。考虑其基本版本,基于对三个子指标的分析,其中研究区土地退化趋势的评估基于对主要指标——退化土地占国土总面积百分比的变化分析,以及可持续发展目标15.3.1的三个子指标:土地生产力变化、土地覆被变化和土壤有机碳储量动态。作为对LDN基本方法的调整,建议在LDN基础上补充区域土壤特征数据。在评价模型中可以推荐考虑以下土壤特性——腐殖质和养分的含量,以及pH值,这些特性一方面与土壤肥力有很大关系,另一方面在人类对土壤的开发利用过程中最容易发生退化变化。修改LDN方法不仅可以澄清中心(总括性)指标,而且可以确定后者与农业生产指标,特别是作物总产量的关系。利用改进的LDN方法对数据进行分析,发现64.8%的区域发生了退化(几乎是基本LDN方法的2倍),导致作物产量损失显著。本文提出了一种基于相关回归分析(空间模型)的土地退化与作物总产量关系评估算法。
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