Subject The article proves the growing importance of predictive extrapolation when formulating a long-term policy of large spatial and sectoral subjects, with the Russian agriculture being one of them. Objectives We trace crucial trends and prospects of using agricultural irrigated lands by federal district of the Russian Federation. Methods The research presents the SWOT analysis, applies the systematization method and statistical methods of trend forecast. Results We constructed trend models of 2015–2017 series of percentages that reclamation land metrics account for and the use of agricultural irrigated land in Russia. Subsequently, we conducted the point prediction and interval forecast of the percentages for 2018. Conclusions and Relevance We found that some federal districts of Russia undertake measures to reduce idle agricultural irrigated land, inter alia, due to soil salinization and genesis of bog soils, non-irrigated land, inter alia, due to insufficient water supply, deficient irrigation network, unsatisfactory reclamation and increase the area of good agricultural land in terms of reclamation. The findings can underlie federal and regional development programs.
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