AGROMETEOROLOGICAL ASPECTS OF LAND-USE OPTIMIZATION

O. D. Sirotenko and V. N. Pavlova

The problem is solved to improve the efficiency of land use through adaptation of a structure of sown areas to both long-term agroclimatic conditions (space aspect) and to expected agroclimatic conditions of a specific year (time aspect). For a linear optimization rule, the analytical solution has been obtained, and for the nonlinear rules, the solution has been found by the Monte Carlo method. It is shown that the application of particular nonlinear rules allows a substantial growth in gross yield, particularly with a poor quality of crop yield forecasts. It is found that the distribution of sown areas of grain crops over the Russian territory is not virtually adapted to soil and climate conditions. Therefore, optimization of the location of sown areas proves to be extremely efficient. Different approaches to optimization of the sown areas structure are considered, with the specific examples provided for grain crops. It is shown that the distribution of land resources to adapt them to soil and climate conditions can be transformed to the problem of macroeconomic regulation.

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