Populus pruinosa is listed in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species and the Red Data Book of Kazakhstan. The habitats of the species are associated with the floodplains of desert rivers, including the Syr Darya and the Ili. The reduction in tugai forests is associated with changes in the hydrological regimes of rivers, the reduction in groundwater, fires, and grazing. The aim of this research is to advance our knowledge of the woodlands and forests of P. pruinosa in Kazakhstan by analyzing the cenoflora and forestry characteristics, conducting ecological niche modeling to select suitable habitats for ecological restoration, and identifying rehabilitation strategies. The vegetation was studied using traditional methods of geobotanic field research in 2021 and 2022. Ecological niche modeling includes the calculation of all the environmental variables that are significant for the species, taken in their optimal ranges, and identifying the intersection of all the favorable conditions. To identify these variables, geographically linked meeting points of the studied species, climatic and soil conditions, relief characteristics identified by the SRTM and raster sets of the environmental variables (WorldClim), and distances to watercourses and settlements were accepted for consideration. A total of 102 environmental variables were used.

Incarvillea semiretschenskia (B. Fedtsch.) Grierson is listed in the Red Data Book of Kazakhstan as a rare relic, narrowly endemic species of the Shu-Ile low mountains (Kazakhstan). The aim of this research was to advance our knowledge of the ecological conditions of its habitats, the floristic composition of plant communities, and molecular phylogeny, as well as to identify threats to the species’ existence. The ecological conditions of I. semiretschenskia habitats are rocky slopes and intermountain valleys of the low mountains in the altitude range from 812 to 1075 m asl with light chestnut mountain soils of little development, having a light granulometric composition and containing insignificant amounts of organic matter. We revealed 164 species of vascular plants in the communities of I. semiretschenskia, including five endemics and five species from the Red Data Book of Kazakhstan. Anthropogenic factors associated with grazing, fires, and limestone mining were identified as leading to a decrease in the number and density of populations. New insights into the relationship and time of diversification in the genus Incarvillea are gained through the use of several accessions of I. semiretschenskia and I. potaninii Batalin in the phylogenetic study. Preliminary fingerprint analysis shows relatively high genetic variability within populations of I. semiretschenskia. This unique relic species has survived since the Miocene epoch and exists to this day only in the Shu-Ile low mountains. To preserve this rare species, measures are proposed to create plant micro-reserves to provide ex situ collections and ensure future in situ restoration efforts.

This article presents a spatial assessment of rangeland productivity, forage resources, and the potential carrying capacity of saiga (Saiga tatarica (L., 1766)) habitats within the Korgalzhyn State Nature Reserve (Kazakhstan). This research integrated field geobotanical surveys, remote sensing data, and spatial modelling approaches. During fieldwork conducted in July 2025, 44 geobotanical descriptions were completed. Long-term Sentinel-2 imagery (2015–2025), spectral vegetation indices, and ensemble machine learning algorithms (Random Forest and Gradient Boosted Decision Trees) were used to model rangeland productivity. The study area includes 16 types of rangelands. The forage resource base is primarily formed by dry-steppe communities dominated by Stipa, Festuca, and Artemisia. At the same time, halophytic vegetation containing Atriplex, Bassia, and Halocnemum provides additional forage resources under arid and saline conditions. The total annual forage reserve was estimated at 3,308,921.2 centners, and the potential annual carrying capacity was calculated at 363,033 saiga individuals across 313,868 ha. These values represent the theoretical forage-carrying capacity of the territory and should not be interpreted as actual population estimates. The results demonstrate the effectiveness of integrating remote sensing, field observations, and machine learning methods for assessing forage resources and spatial heterogeneity of rangeland ecosystems in the steppe regions of Kazakhstan.