Search Results (223)

This study analyzes spatiotemporal aridity dynamics in Central Kazakhstan (1960–2022) using a monthly Aridity Index (AI = P/PET), where P is precipitation and PET is potential evapotranspiration, Mann–Kendall trend analysis, and climate zone classification. Results reveal a northeast–southwest aridity gradient, with Aridity Index ranging from 0.11 to 0.14 in southern deserts to 0.43 in the Kazakh Uplands. Between 1960–1990 and 1991–2022, southern regions experienced intensified aridity, with Aridity Index declining from 0.12–0.15 to 0.10–0.14, while northern mountainous areas became more humid, where Aridity Index increased from 0.40–0.44 to 0.41–0.46. Seasonal analysis reveals divergent patterns, with winter showing improved moisture conditions (52.4% reduction in arid lands), contrasting sharply with aridification in spring and summer. Summer emerges as the most extreme season, with hyper-arid zones (8%) along with expanding arid territories (69%), while autumn shows intermediate conditions with notable dry sub-humid areas (5%) in northwestern regions. Statistical analysis confirms these observations, with northern areas showing positive Aridity Index trends (+0.007/10 years) against southwestern declines (−0.003/10 years). Key drivers include rising temperatures (with recent degradation) and variable precipitation (long-term drying followed by winter and spring), and PET fluctuations linked to temperature. Since 1991, arid zones have expanded from 40% to 47% of the region, with semi-arid lands transitioning to arid, with a northward shift of the boundary. These changes are strongly seasonal, highlighting the vulnerability of Central Kazakhstan to climate-driven aridification. Full article

This article analyzes statistics on the failure of technological equipment, assemblies, and mechanisms of agricultural (and other) machines associated with the breakdown or failure of gear pumps. It was found that the leading causes of gear pump failures are the opening of gear teeth contact during pump operation, poor assembly, wear of bushings, thrust washers, and gear teeth. It has also been found that there is a problem related to the restoration, repair, and manufacture of parts in the conditions of enterprises serving the agro-industrial complex of the Republic of Kazakhstan (AIC RK). This is due to the lack of necessary technological equipment, tools, and instruments, as well as centralized repair and restoration bases equipped with the required equipment. This work proposes to solve this problem by applying AM technologies to the repair and manufacture of parts for agricultural machinery and equipment. The study results on the stress–strain state of support bushings under various pressures are presented, showing that a fully filled bushing has the lowest stresses and strains. It was also found that bushings with 50% filling and fully filled bushings have similar stress and strain values under the same pressure. The difference between them is insignificant, especially when compared to bushings with lower filling. This means that filling the bushing by more than 50% does not provide a significant additional reduction in stresses. In terms of material and printing time savings, 50% filling may also be the optimal option. Full article

Artemisia serotina Bunge represents one of the endemic Artemisia L. species in flora of Central Asia. There is scant information on the phytochemistry and biological activity of this species. The aim of the present study was to analyze the chemical composition of essential oil from A. serotina (ASEO) growing in south Kazakhstan, together with the determination of its biological activity. ASEO isolation was carried out by hydrodistillation according to the State Pharmacopoeia of the Republic of Kazakhstan. Analysis of GC/MS data revealed that the most characteristic components of ASEO were irregular monoterpenes from three families: santolinane, artemisane, and lavandulane. The major compound was santolina alcohol (34.6%). Antimicrobial activity was studied against the reference bacterial and fungal strains using the recommended methods, allowing for an estimation of MIC (minimum inhibitory concentration). ASEO was most effective against Candida albicans (MIC = 2 mg/mL), exerting fungicidal activity. Thw MIC for bacterial species was higher, i.e., 4–16 mg/mL. Antiviral activity was tested against Coxsackievirus B3 (CVB3) and Human Herpesvirus type 1 (HHV-1) propagated in VERO cells. No antiviral effect against either virus was found at an ASEO concentration of 0.25 mg/mL, but a noticeable decrease in the intensity of HHV-1-related cytopathic effects was observed. Anticancer activity studies included several cancer cell lines. Cytotoxicity, cell cycle, thiol levels, and cell vitality were analyzed. Among the cancer cell lines tested, the breast cancer T47-D cell line exhibited the highest sensitivity to ASEO (IC₅₀ = 40.81 ± 4.21 µg/mL at 24 h; IC₅₀ = 33.17 ± 2.11 µg/mL at 48 h). The anticancer effect was suggested to be mainly due to the induction of cytostatic effects, accompanied by a disturbance of the intracellular redox balance. The obtained data provide novel information on the unique chemical composition of ASEO from south Kazakhstan, representing a new chemotype. Its bioactivity, including promising antifungal and anticancer properties, was demonstrated for the first time. Full article

The pilot study is devoted to the assessment of both the accumulation and spatial distribution of microplastics in the snow cover of the Zhetysu region. The height of snow cover in the study area varied from 4.0 to 80.5 cm, with a volume of melt water ranging from 1.5 to 143 L. The analysis of 53 snow samples taken at different altitudes (from 350 to 1500 m above sea level) showed the presence of microplastics in 92.6% of samples in concentrations from 1 to 12 particles per square meter. In total, 170 microplastic particles were identified. The main polymers identified by Raman spectroscopy were polyethylene (PE), polypropylene (PP), and polystyrene (PS). These are typical components of plastic waste. The spatial distribution of microplastics showed elevated concentrations near settlements and roads. Notable contaminations were also recorded in remote mountainous areas, confirming the significant role of long-range atmospheric transport. Particles smaller than 0.5 mm dominated, having high aerodynamic mobility and capable of long-range atmospheric transport. Quantitative and qualitative characteristics of microplastics in snow cover have been realized for the first time both in Kazakhstan and in the Central Asian region, which contributes to the formation of primary ideas and future approaches about microplastic pollution in continental inland regions. The obtained results demonstrate the importance of atmospheric transport in the distribution of microplastics. They indicate the need for further monitoring and microplastic pollution analyses in Central Asia, taking into account its detection even in hard-to-reach and remote areas. Full article

Background: Pancreatic cancer (PC) has an extremely poor prognosis and is growing worldwide. In Kazakhstan, it is among the five leading causes of cancer death. However, local epidemiological studies of PC are scarce. A retrospective population-based study was conducted to investigate the PC incidence, mortality, and survival in Kazakhstan, using data from the Electronic Registry of Oncological Patients for the period 2014–2023. Methods: Incidence, prevalence, and crude mortality rates were calculated per 100,000 population. The all-cause mortality rate per 1000 person-years (PY) was obtained based on socio-demographic and medical characteristics and for different regions. Survival analysis was performed using the Kaplan–Meier method and Cox regression models. Results: A total of 11,934 cases were analyzed. The annual incidence rate significantly increased from 5.9 to 6.9 per 100,000. The mortality rate per 100,000 also increased from 4 to 6. The highest incidence was observed in the 60–74 age group (49.2%), with an equal sex distribution. The mortality rate was the highest in patients aged 75 and older. Northern and central regions had the highest incidence rates as of 2023. Atyrau, West Kazakhstan, Pavlodar, and Abay had the highest mortality rates per 1000 PY. The five-year survival rate was 10.9%. An older age, a male sex, advanced cancer stages, and a Russian ethnicity significantly increased the risk of death. Conclusions: PC represents a significant healthcare problem in Kazakhstan, with late diagnosis and poor survival being the main challenges. This study highlights the need to improve the timely detection of PC and address the identified disparities. Full article

Background: Multidrug-resistant tuberculosis (MDR-TB) remains a significant public health threat in Central Asia, where rising resistance to first-line anti-TB drugs challenges control efforts. As of 2024, the World Health Organization (WHO) reports that over 2.5% of new TB cases and 18% of previously treated cases are resistant to first-line TB drugs worldwide. Objectives: This integrative review synthesizes current evidence on MDR-TB in Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, with a focus on infection control, diagnostic advancements, and evolving treatment strategies. Methods: A comprehensive literature search was conducted across five electronic databases: PubMed, Scopus, Web of Science, Embase, World Health Organization (WHO) Global Tuberculosis Database, and ClinicalTrials.gov. A total of 29 articles from Central Asian countries met the inclusion criteria. Results: Four main themes were identified: “genetic variability and resistance patterns of MDR-TB strains”; “barriers to effective treatment”; “diagnostic tools”, and “infection control strategies”. Conclusions: This review underscores the importance of comprehensive, multifactorial approaches in addressing drug-resistant TB in the region. The implementation of early diagnosis and all-oral treatment regimens has improved adherence in recent studies. Full article

Camels have been essential to human survival and development across the arid Central Asian steppes, particularly in Kazakhstan, where the breeding of one-humped and two-humped camels is a longstanding tradition supporting the nomadic lifestyle. This study aimed to assess the genetic diversity and population structure of these camels across their distribution range in Kazakhstan. Blood samples from 100 individuals were collected from five locations, Almaty (ALA), Atyrau (ATR), Shymkent (SHK), Kyzylorda (KZL), and Taraz (TRZ), and genotyped using 17 microsatellite markers. All loci were polymorphic, with a mean observed heterozygosity of 0.707 in C. dromedarius and 0.643 in C. bactrianus. The highest expected heterozygosity (He = 0.939) was observed at VOLP67 in C. bactrianus and at VOLP03 in C. dromedarius. Genetic differentiation was low (FST = 0.021), indicating a weak population structure between the two species with substantial gene flow (Nm = 19.972). The hybrid analysis identified 31% hybrids, including F1, F2, and backcrosses, with the highest frequencies in KZL and TRZ, moderate frequencies in ATR, and lowest frequencies in SHK and ALA. These patterns, consistent with STRUCTURE clustering, reflect widespread but regionally variable hybridization. The phylogenetic analysis revealed three clades, separating Bactrian camels (ALA), dromedaries (SHK), and a hybrid group (ATR, KZL, and TRZ). These findings enhance our understanding of the genetic diversity of Kazakhstan’s camels and support effective conservation, breeding strategies, and genotyping applications in camel husbandry. Full article

Outbreaks of locust plagues are becoming increasingly frequent against the backdrop of climate change. Locust outbreaks in the Caucasus and Central Asia, especially in Kazakhstan, pose continuous threats to neighboring countries, including China, Kyrgyzstan, and more. However, locust outbreak forecasts and migration movement are yet to be studied in this area. In our study, we collected water level data in major lakes and water bodies, as well as annual average precipitation in the past 15 years in Kazakhstan, to analyze their contributions to locust outbreaks. Multiple linear regression analysis revealed a significant negative correlation between overall lake water level and the following year’s locust outbreak area in Kazakhstan. Considering that the overall lake water levels in 2023 and 2024 reached a quite low level historically, we predicted heavy locust outbreaks in 2025. Furthermore, through wind field analysis and wind-born trajectory modeling, we identified two migration routes of locusts from Kazakhstan into Xinjiang, China, riding the northwest wind, with lakes near the Sino-Kazakhstan border as the main sources. Overall, our study identified high locust outbreak challenges in Kazakhstan in recent years and determined two wind-supported migration routes of locusts invading China, which are significant for guiding monitoring and prevention efforts in the Sino-Kazakhstan border area. Full article

The saiga antelope (Saiga tatarica), a keystone migratory species of the Central Asian steppes and deserts, is increasingly threatened by habitat fragmentation due to the rapidly expanding transport infrastructure in Kazakhstan, which hosts approximately 95% of the species’ global population. This study provides a spatial assessment of railway and road infrastructure across the contemporary ranges of the Betpaqdala, Ustyurt, and Ural saiga populations. Using the literature and our field data from the 1980s to the present day, combined with geographic information system (GIS)-based analysis of 80,427 km of roads and 4021 km of railways, we have quantified infrastructure densities and identified critical barriers to saiga migration using kernel density and minimum convex polygons (MCP) estimations. The results reveal a negative connection between infrastructure density and occurrences of saiga herds, particularly in the Ustyurt population, where a high railway density coincides with severely reduced migratory activity and a reduction in this population’s winter range by 79.84% since 2015. Major railways such as Sekseuildi–Zhezqazgan, Zhezqazgan–Zharyk, and Shalqar–Beineu intersect essential migratory pathways and have contributed to significant range contraction, subpopulation isolation, and northward shifts in seasonal habitats. In contrast, the Ural population (subject to minimal railway infrastructure interference) has shown robust demographic recovery. While roads are more widespread, their impact is less severe due to greater permeability. However, upcoming projects such as the China–Europe transit corridor and the “Center–West” regional development corridor could amplify future threats. We recommend immediately implementing wildlife-friendly infrastructure, including overpasses and ecological corridors, to preserve the connectivity of saiga ranges and support the long-term conservation of this ungulate species. Full article

The Shu-Sarysu Basin in central-southern Kazakhstan remains one of the underexplored gas-prone provinces, with 12 discovered gas fields including Amangeldy (884 Bcf) and Pridorozhnoye (225 Bcf). In the context of global energy transition, such basins require integrated geological assessment to constrain exploration potential. Historical studies within the region were spatially limited and prematurely discontinued, resulting in fragmented datasets and a lack of modern interpretation. This review reassesses published geological data within a petroleum systems framework, applying contemporary geodynamic and stratigraphic concepts. Analysis shows that tectonostratigraphic evolution of the basin during Devonian–Permian time (390–250 Ma) favored formation of mature, gas-prone systems within structurally compartmentalized troughs, with effective source, reservoir, and seal configurations. Building on these findings, a three-tier classification of exploration zones is proposed based on system maturity, trap integrity, and gas shows, reflecting geological success probability. This provides a basis for prioritizing future exploration despite limited seismic and drilling coverage in many areas. Recommended priorities include digitization of archival data, structural modeling, modern geochemical and diagenetic analysis, and focused evaluation of promising areas to support future exploration. Full article

This study conducts a comprehensive and systematic literature review, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, to investigate the impacts of climate change on closed lake systems in Central Asia, with a specific focus on Lakes Balkhash, Issyk-Kul, and Urmia. Based on a detailed analysis of 74 peer-reviewed studies published between 2000 and 2025, this review identifies key thematic patterns and bibliometric trends in the literature. Findings reveal that most studies emphasize hydrological stress, glacier retreat, and an increasing drought frequency, while institutional adaptation and transboundary governance mechanisms remain underdeveloped and inconsistently implemented. National-level adaptation strategies vary considerably, with Kazakhstan and Uzbekistan showing a relatively higher engagement, though rarely supported by enforceable cross-border agreements. This review also highlights the limited participation of local research institutions and insufficient empirical validation of policy measures. The bibliometric analysis indicates that most high-impact publications originate outside the region, particularly from China and Germany. This study provides a structured synthesis of existing knowledge and identifies critical avenues for future research and policy development. It calls for more inclusive, transdisciplinary, and regionally embedded approaches to water governance in the context of accelerating climate risks. Full article

This study investigates the phenotypic characteristics, genetic diversity, and population structure of four wild cherry species collected from various regions of Kazakhstan and Uzbekistan: Prunus fruticosa Pall., Ptunus erythrocarpa (Nevski) Gilli, Prunus griffithii var. tianshanica (Pojark.) Ingram, and Prunus verrucosa (Franch.). A total of 163 accessions were characterized morphologically using standardized descriptors for plant, leaf, and fruit traits. Genetic diversity was assessed using 13 simple sequence repeat (SSR) markers. STRUCTURE analysis revealed that 87.7% of the accessions were assigned to pure species. However, hybrid accessions were identified in P. griffithii var. tianshanica (34.4%), P. erythrocarpa (18.5%), and P. verrucosa (8.0%). Identical genotypes were found across all species, with P. fruticosa showing the highest proportion (54.8%), likely due to clonal propagation via root suckers. Among the four species, P. verrucosa exhibited the highest genetic diversity, while P. fruticosa had the lowest. Analysis of molecular variance (AMOVA) showed that genetic variation within the species (81%) was substantially greater than variation among the species (19%). These findings enhance our understanding of the genetic relationships among wild cherry species in Central Asia and provide valuable data for conservation planning and breeding programs aimed at improving drought and frost tolerance in Prunus species. Full article

The purpose of the research is to identify the features of development of a pattern of green infrastructure of megapolises as a basis of sustainable development. The advancement algorithm of green infrastructure of megapolises is implemented for the first time and it is a scientific novelty. The structural features of green infrastructure, namely the division of surface elements into central and peripheral cores, and the division of linear elements into natural and natural–artificial corridors are highlighted by means of an example of Shymkent city, (Republic of Kazakhstan). Their maps were made taking into account the territorial and industrialized structure. Proposals were made to improve the functioning of the green infrastructure of Shymkent city, promoting sustainable development and creating a population-friendly environment. The analysis of green infrastructure and the impact of socio-economic and demographic infrastructure on the environment was carried out on the advancement of the green infrastructure of megapolises; the main methodological principles were determined. The statistical, cartographic, analytical, comparative and empirical methods were used in this research. The work was carried out using the following software: CorelDraw X4, Microsoft Word, Microsoft Excel, 2Gis 3.16, Adobe Photoshop. Full article

This study investigated soil salinization processes in the Pavlodar region of Kazakhstan by comparing key soil parameters—namely, electrical conductivity (EC), pH, exchangeable sodium percentage (ESP), and sodium adsorption ratio (SAR) under irrigated and non-irrigated conditions across different agro-climatic zones and soil types (Haplic Chernozems, Haplic Kastanozems). The focus was on understanding the effects of irrigation and natural factors on soil salinization. Statistical analysis, including descriptive statistics and significance testing, was employed to evaluate differences between soil types, locations, and management practices. The research revealed secondary salinization (EC > 2 dS/m, ESP > 15%) in the topsoil of irrigated Haplic Kastanozems soils in the central Aksu district. This degradation was markedly higher than in non-irrigated plots or irrigated Haplic Chernozems in the northern Irtysh district, highlighting the high vulnerability of Haplic Kastanozems soils under current irrigation management given Aksu’s climatic conditions, which are characterized by high evaporative demand (driven by summer temperatures) and specific precipitation patterns that contribute to soil moisture deficits without irrigation. While ESP indicated sodicity, SAR values remained low. Natural factors, including potentially saline parent materials and likely shallow groundwater dynamics influenced by irrigation, appear to contribute to the observed patterns. The findings underscore the need for implementing optimized irrigation and drainage management, particularly in the Aksu district, potentially including water-saving techniques (e.g., drip irrigation) and selection of salt/sodicity-tolerant crops. A comprehensive approach integrating improved water management, agronomic practices, and potentially soil amendments is crucial for mitigating soil degradation and ensuring sustainable agriculture in the Pavlodar region. Further investigation including groundwater monitoring is recommended. Full article

The ecological environment of arid and semi-arid regions (ASARs) faces significant challenges, highlighting the need for a robust indicator system to assess ecological environmental quality (EEQ) and sustainability. This study investigates Central Asia (CA) using the Google Earth Engine (GEE) to develop a new remote sensing-based ecological index (ASAEI), assessing EEQ from 2000 to 2022 using the CatBoost–SHAP model. The results reveal a distinct spatial pattern in the ASAEI: the southwestern and southeastern regions face more severe ecological challenges, while the northern and central-southern areas exhibit better ecological conditions. The ASAEI exhibits a strong spatial autocorrelation, with high-value clusters in the northern and central-southern regions, where vegetation is dense, and low-value clusters in the southwestern and southeastern desert and Gobi regions. Over time, we observed that ecological degradation shifts from west to east. Overall, ecological restoration in CA exceeds the extent of degradation. Notably, Kazakhstan is primarily experiencing degradation, while other subregions predominantly show signs of restoration. Our analysis indicates that climate conditions and land use types are the primary factors influencing changes in the ASAEI. Furthermore, we project that 54.5% of the CA region will exhibit an improved EEQ, highlighting the need for restoration efforts in the western areas. The ASAEI offers a novel perspective and methodology for assessing EEQ in ASARs, with significant scientific implications. Full article