Comprehensive assessment reveals varying levels of anthropogenic load on agricultural landscapes across transboundary territories.
The object of this study is the border territories of North Asia within Russia (Altai Krai, Amur Oblast, Zabaykalsky Krai, Omsk Oblast, the Republic of Buryatia, Tyva Republic and Tyumen Oblast), Mongolia (8 aimags bordering Russia) and Kazakhstan (Pavlodar Oblast, North Kazakhstan Oblast and East Kazakhstan Oblast). The purpose of the study is to provide a comprehensive assessment of the anthropogenic load on the agricultural landscapes of the territories under consideration in the context of 2010-2020. Based on the chosen methodological approach, the authors calculated specific indicators of the environmental intensity of agricultural systems and economic development, and made a scoring assessment of the complex anthropogenic load on agricultural landscapes based on the total root-mean-square assessment of deviations. The results showed that most of the Russian regions, with the exception of the Zabaykalsky Krai and the Republic of Tyva, belong to regions with high and medium anthropogenic load. All model Mongolian aimags are included in the group with low anthropogenic load. Despite the high share of agricultural land in the total area of the territory, the efficiency of their development is not reflected in economic development indicators. All three Kazakhstan regions are included in different groups in terms of the level of complex anthropogenic load. The high degrees of plowing of farmland and a significant increase in anthropogenic load over 10 years in the North Kazakhstan and Tyumen regions require the development of a set of special measures. The methodological approach used can be recommended for further research into areas for optimizing agricultural landscapes of model territories.
No takes yet. Share an insight, caveat, or question.
Bardakhanova et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: