ENVIRONMENTAL ASSESSMENT OF AGRICULTURAL LAND USE USING GEOINFORMATION SYSTEM TECHNOLOGIES
DOI:
https://doi.org/10.51452/kazatu.2023.2(117).1380Keywords:
agricultural land use; agricultural landscapes; environmental as-sessment; geoinformation systems; agricultural land; land use sustainability; l food security.Abstract
Adaptive landscape land management is the basis for the stability and protec-tion of agricultural land at various levels of land management (state, regional, local - the level of organization of an agricultural enterprise). The environmental assessment of agricultural sector agricultural enterprises, carried out by the authors of work, us-ing Geoinformation system -technologies, allows us to outline management solutions aimed at increasing their efficiency and protection. It was established that land use is located in the southern forest -steppe, its area is almost 17,9 thousand hectares of which 13.6 thousand ha falls on agricultural land. Erosion -hazardous lands account for 50% of the area, for deflationary - 14%. It was revealed that the fodder lands are almost 100% erosion hazardous, while in the arable land similar processes appear on 73.5% of the area. The conducted environmental assessment of agricultural sections and the constructed digital maps scheme showed that the land use territory is an environmentally unstable, experiencing significant anthropogenic load, the area outside the floodplain is overloaded with arable land with the widespread manifestation of erosion processes. It was determined that on agricultural lands, the coefficients of environmental stability and anthropogenic load amounted to 0.42 (0.29 without floodplain lands) and 3.36 (3.57 without floodplain land), and on agricultural lands - 0.32 (0, 23) and 3.77 (3.84) points, thus the lands are used extremely irrationally. The results are rec-ommended for the use of agricultural producers in the organization and optimization of agricultural land use, as well as state authorities in planning the use of agricultural land, cadastral assessment and forecasting of agricultural products and raw materials.