In Kazakhstan’s Akmola Region, rural households face heightened vulnerability from climate change, driven by reliance on weather-dependent resources and amplified risks of extreme precipitation events, prolonged dry spells, and progressive soil degradation—further intensified by limited adaptive capacity and inequities affecting women-led or ethnic minority families. This study conducted stratified household surveys across four agricultural districts, developed a tailored Livelihood Vulnerability Index (LVI) incorporating shelterbelt presence, condition, and perceived effects, alongside readiness for hydrological surface recovery (contour–strip organisation, swales/valokany, and tree–shrub planting). Results revealed an average LVI of 0.45–0.55, which was higher (+10–15%) in marginalized groups; testing pathways showed correlations (r = 0.65, p < 0.05) with water security, soil condition, income stability, and hazard reduction, with potential LVI reductions of 15–25% through integrated measures. District-specific recommendations include implementing the Potapenko–Lukin method on slopes <5% with valokany (width 80 cm, depth 1.5 m, spacing 100–500 m), endemic plantings, and biomaterial, supported by subsidies (488,028 tenge/ha/year) and GIS monitoring, to enhance resilience and equity in steppe and forest–steppe farming.

When carrying out forestry, constant monitoring of plant condition and growth is very important. There is a wide range of Earth remote sensing sources for effective management of woody vegetation in vast areas. The purpose of the study was to identify areas with weekened and dying tree crops in the green observation zone of Astana, Kazakhstan, covering Batys forestry using remote sensing data. The results of studies carried out for research on the growth and development of artificial plantations were obtained. During the experiment, a comparison of remote sensing data was performed using an unmanned aerial vehicle Supercam S350F with multispectral camera Micasense RedEdge and high-resolution measurements obtained with Sentinel-2 and PlanetScope satellites in order to select a method for solving the tasks. Based on the materials of multispectral diagnostics, the state of forest plantations in Batys forestry was revealed, where 35 % of tree crops were classified as healthy, 30 % - as weakened, and 35 % - as dying.

This article presents studies of the effect of biological products "Agro-MIKS", "Agrarka" and "Epin" on the growth of annual seedlings of Scots pine (Pinus sylvestris L.) in 2022 with the financial support of KATU named after. S. Seifullin of young scientists about research work carried out within the framework of internal grant funding No. 2VGF/21. The research work was carried out in a forest nursery located in the city of Schuchinsk, Burabay district, Akmola region. In the forest nursery, a total area of 0,4 ha was surveyed, of which 0.2 ha was pre-treated and sown with seeds of Pinus sylvestris L. Some details of this research work were published in other publications, but in this paper only one object of study, seedlings of Pinus sylvestris, was fully analyzed. L. The composition of chlorophyll was studied to assess seasonal growth and physiological development, as well as the biochemical activity of seedlings. The biological products used in the experimental samples were compared with each other and with control options. The biomass, growth and viability of seedlings were analyzed. Soil cultivation, sowing and care were carried out according to generally accepted methods of experimental work. The samples were built according to the linear-diagonal method, and the data were collected throughout the season. Statistical data were processed using the SPSS, STATISTICA 13, and SNEDECOR programs.