Abstract
The landscape concept should give a fundamental assessment of the intensification extent of agricultural prospects. A detailed agroecological examination of all components of the natural-territorial complex, the creation of simulation models of their dynamics and the adoption of optimal decisions based on the results of forecasts should be carried out. The purpose of landscape analysis of natural resources is a comprehensive assessment of climatic, soil, plant and animal factors, establishing the relationship of landscape components with farming systems. Any landscape in the process of its development is exposed to impacts, and its stability has its limits. The stability threshold, expressed through the preservation by the landscape of its parameters and properties, and the critical impact quantities are determined in each case. General criteria for the natural stability of geosystems are their high organization, intensive functioning and geosystems functions balance, including biological productivity and renewability of vegetation cover. These qualities are determined by the optimum ratio of heat and moisture and are expressed by the development of soil cover, and ultimately, soil fertility. Landscape-ecological analysis of the territory makes it possible to establish the composition of agricultural and non-agricultural land, taking into account the heterogeneity and stability of a particular landscape, the occurrence of geochemical and biological processes in it, as well as to link the system of agriculture, land reclamation and specialization of the agricultural organization. The main element of Novosyolovo district landscape is agricultural land; the lands of the forest fund are the second largest area of natural geosystems. The degree of change in agrolandscapes is estimated on the basis of the existing structural and functional organization of agricultural lands, their quality state. It was established that plowing is low and it does not exceed the allowable limit, the forest cover of the district is close to optimal.
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