Maira Kussainova

@kaznaru.edu.kz

Sustainable Agriculture Center
Kazakh National Agrarian Research University

Maira Kussainova


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https://researchid.co/maira_k

RESEARCH INTERESTS

Agriculture, soil and ecosystem processes, and their interactive feedback to biophysical and anthropogenic activities, including precision agriculture and conservation biology, and landscape ecology. Her current research is simultaneously related to the i
23

Scopus Publications

442

Scholar Citations

11

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Historical grazing intensity determines the response patterns of plant community and soil nutrient stocks to grazing exclusion in a temperate meadow steppe
    Haonan Guo, Xiaoping Xin, Jiquan Chen, Phil J. Murray, Maira Kussainova, Wei Fang, Zhigang Zhao, Hui Li, Cuixia Jiang, Yufan Si, Amarjargal Amartuvshin, Alim Pulatov, Zihao Li, Feng Liu, Hao Liu, Xuanyi Li, Ruirui Yan, Jianming Deng
    Agriculture Ecosystems and Environment, 2026
  • Leveraging sUAS-Sentinel-2 synergy for cross-scale mapping of canopy cover and aboveground biomass across Mongolia and Kazakhstan
    Venkatesh Kolluru, Ranjeet John, Jiquan Chen, Geoffrey M. Henebry, Jingfeng Xiao, Rajat Shinde, Maira Kussainova, Ulgiichimeg Ganzorig
    Remote Sensing of Environment, 2026
  • Influence of Geographical Locations on Drinking Water Quality in Rural Pavlodar Region, Kazakhstan
    Raikhan Beisenova, Jiquan Chen, Maira Kussainova, Kamshat Tussupova, Rumiya Tazitdinova, Nurul Mujahid, Zhanar Rakhymzhan
    Water Switzerland, 2025
    Drinking water quality in rural areas is impacted by industrial and agricultural runoff, water treatment infrastructure, and household economic conditions. This study explores the relationship between drinking water quality, water sources, and land cover types in northeastern Kazakhstan. The Water Quality Index (WQI) was calculated for each household and village using the Horton Equation. Land cover was mapped using Sentinel-2 Level-2A imagery. Statistical differences among villages were analyzed through one-way ANOVA and t-tests. A Structural Equation Model (SEM) was built using Maximum Likelihood estimators, with significance set at p < 0.05. Significant variations in manganese, hydrocarbonates, and chlorides were observed based on the distance from the Irtysh River and water sources. Grasslands had the greatest influence on water parameters (−14.89), followed by croplands (5.96), urban lands (2.15), and other land types (2), with forests having the least effect. Biological indicators, such as Actinomycetes sp., were significantly correlated with forests (2.32) and other land cover types. Grasslands reduce mineral content in groundwater, while croplands and forests contribute to mineral enrichment, particularly nitrates from croplands. Urban areas increase chemical loads in groundwater, and manganese levels decrease with distance from the Irtysh River. Chlorides and hydrocarbonates are highest near the river. Rural water treatment infrastructure should be improved, stricter pollution controls should be enforced, and sustainable land use practices should be promoted to reduce agricultural and urban runoff. Additionally, economic incentives for household filtration, regular water quality monitoring, and a coordinated watershed management approach can enhance long-term water security.
  • A Geospatial Livestock-Carrying Capacity Model (GLCC) in the Akmola Oblast, Kazakhstan
    Jiaguo Qi, Zihan Lin, Mark A. Weltz, Kenneth E. Spaeth, Gulnaz Iskakova, Jason Nesbit, David Toledo, Tlektes Yespolov, Maira Kussainova, Lyazzat K. Makhmudova, Xiaoping Xin
    Remote Sensing, 2025
    Spatial disparities in rangeland conditions across Kazakhstan complicate field-based assessments of livestock-carrying capacity (LCC), a critical metric for the country’s food security and economic planning. This study developed a geospatial livestock-carrying capacity (GLCC) modeling framework to quantify LCC spatio-temporal dynamics at the Oblast level, by integrating satellite-derived data on vegetation, water resources, and terrain with in situ measurements. By providing ground-truth observations and contextual detail, field-based measurements complement remote sensing data and help to validate estimates and improve the reliability of the GLCC model. The modeling framework was successfully applied and validated in a case study in the Akmola Oblast, Kazakhstan, to specifically map the spatial and temporal distributions of LCC, using publicly available MODIS NPP data and in situ data from 51 field sites. The modeling results showed distinct spatial patterns of LCC across the Oblast, reflecting variability in rangeland productivity with higher values concentrated in southern and southeastern regions (up to 0.5 animals/ha). The results also depicted significant interannual LCC fluctuations (ranging from 0.099 to 0.17 animals/ha) possibly due to rainfall variability, and thus an indicator of climate-related risks for livestock management. Although there is still room for further improvement, particularly in model parameterization to account for grazing pressures, forage quality, and livestock species, the GLCC modeling framework represents a simple modeling tool to map livestock-carrying capacity, a more meaningful indicator to rangeland managers. Further, this work underscores the value of integrating remote sensing with field-based observations to support data-driven rangeland management planning and resilient investment strategies.
  • Rangeland Resource Assessment in the Aqmola Region of Kazakhstan
    Kenneth E. Spaeth, Mark A. Weltz, Jason Nesbit, Jiaguo Qi, William A. Rutherford, C. Jason Williams, David Toledo, Beth A. Newingham, Gulnaz Iskakova, Maira Kussainova, Tlekles Yespolov
    Rangeland Ecology and Management, 2025
  • Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan
    Venkatesh Kolluru, Ranjeet John, Jiquan Chen, Preethi Konkathi, Srinivas Kolluru, Sakshi Saraf, Geoffrey M. Henebry, Jingfeng Xiao, Khushboo Jain, Maira Kussainova
    Communications Earth and Environment, 2024
    Decomposing the responses of ecosystem structure and function in drylands to changes in human-environmental forcing is a pressing challenge. Though trend detection studies are extensive, these studies often fail to attribute them to potential spatiotemporal drivers. Most attribution studies use a single empirical model or a causal graph that cannot be generalized or extrapolated to larger scales or account for spatial changes and multiple independent processes. Here, we proposed and tested a multi-stage, multi-model framework that detects vegetation trends and attributes them to ten independent social-environmental system (SES) drivers in Kazakhstan (KZ). The time series segmented residual trend analysis showed that 45.71% of KZ experienced vegetation degradation, with land use change as the predominant contributor (22.54%; 0.54 million km2), followed by climate change and climate variability. Pixel-wise fitted Granger Causality and random forest models revealed that sheep & goat density and snow cover had dominant negative and positive impacts on vegetation in degraded areas, respectively. Overall, we attribute vegetation changes to SES driver impacts for 19.81% of KZ (out of 2.39 million km2). The identified vegetation degradation hotspots from this study will help identify locations where restoration projects could have a greater impact and achieve land degradation neutrality in KZ. A detection, contribution, and attribution framework analysis suggests that almost 46% of the land area in Kazakhstan has experienced vegetation degradation, with grazing and snow cover variability identified as the principal drivers of degradation.
  • Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model
    Zhenwang Li, Lei Ding, Beibei Shen, Jiquan Chen, Dawei Xu, Xu Wang, Wei Fang, Alim Pulatov, Maira Kussainova, Amartuvshin Amarjargal, Erkin Isaev, Tao Liu, Chengming Sun, Xiaoping Xin
    Science of the Total Environment, 2024
  • Water loss through evapotranspiration after precipitation events in bioenergy crops grown in similar climatic conditions
    Kevin Postma, Siddhesh Mane, Meicheng Shen, Maira Kussainova, Raikhan Beisenova, Arunav Nanda, Gang Dong, Jiquan Chen
    Frontiers in Environmental Science, 2024
    The relationship between precipitation and evapotranspiration (ET) is critical to understanding water cycle related dynamics in ecosystems, including crops. Existing studies of bioenergy crops have primarily focused on annual or seasonal ET rates, with less attention given to the immediate ET response following precipitation events. This study examines the variation in ET rates in the days subsequent to precipitation events across various bioenergy crops—corn, switchgrass, and prairies—utilizing 13 years (2010–2022) of growing season data. Meteorological and eddy covariance flux data were collected from seven eddy covariance flux towers as part of the GLBRC scale-up experiment at the Kellogg Biological Station Long Term Ecological Research sites. The analysis revealed that average ET peaked the day after precipitation and declined linearly over the following days, with a statistically significant relationship (p-value = 0.00027, R2 = 0.96). Neither the type of biofuel vegetation nor the historical land use significantly influenced ET post-precipitation events (p-values = 0.53 and 0.153, respectively). Key predictors of ET following precipitation events include shortwave radiation, season, day of the year, ambient temperature, vapor pressure deficit (VPD), long-wave radiation, precipitation amount, soil moisture, and annual variability. These findings enhance our comprehension of ET responses in bioenergy crop systems, with implications for water management in sustainable agriculture.
  • Influence of time conditions on the soil temperature indicators in Kazakhstan
    Maira Kussainova, Maxat Toishimanov1, Anel Syzdyk, Timur Tamenov, Nursultan Nurgali, et al.
    Caspian Journal of Environmental Sciences, 2023
    Interest in studying the influence of the conditions of the year and time of day on the soil temperature indicators has been increasing in recent years to develop new adaptive strategies in agriculture and provide scientific substantiation for making decisions on the sustainable use and protection of natural resources. No research in this direction has been conducted in Kazakhstan to date. The presented studies were carried out in 2021-2023 in the dry network of the Ili Alatau in the Almaty region. The soil temperature was measured at 10 cm depth with CS107 thermocouples, and the average temperature was recorded every hour using the CR-10 datalogger. The data analysis was carried out using RStudio. The purpose of this study was to analyze the influence some factors such as the year, month, and time of day on the soil temperature indicators. It was found that the year, month, and time of day have a significant impact on the indicators of the variable temperature. This indicator amounted to -1.6, 7.5, and -5.2 °С in 2021, 2022, and 2023, respectively. The soil temperature warmed up most significantly between 12 PM and 6 PM (8.6-17.3 °С). The average soil temperature by 9 PM, 12 AM, 3 AM, 6 AM, and 9 AM decreased to 3.8, -0.6, 2.9, -4.0, and -2.9 °С, respectively. The average monthly temperature indicators were 4.3-8.3 °C in March and October. They were higher in April and September (11.7-14.6 °С). They were the highest in June, July, August, and September (20.3-25.8 °С). The results of the study are of fundamental importance for developing new adaptive strategies in agriculture and providing scientific substantiation for making decisions on the sustainable use and protection of natural resources.
  • Gridded livestock density database and spatial trends for Kazakhstan
    Venkatesh Kolluru, Ranjeet John, Sakshi Saraf, Jiquan Chen, Brett Hankerson, Sarah Robinson, Maira Kussainova, Khushboo Jain
    Scientific Data, 2023
    Livestock rearing is a major source of livelihood for food and income in dryland Asia. Increasing livestock density (LSKD) affects ecosystem structure and function, amplifies the effects of climate change, and facilitates disease transmission. Significant knowledge and data gaps regarding their density, spatial distribution, and changes over time exist but have not been explored beyond the county level. This is especially true regarding the unavailability of high-resolution gridded livestock data. Hence, we developed a gridded LSKD database of horses and small ruminants (i.e., sheep & goats) at high-resolution (1 km) for Kazakhstan (KZ) from 2000–2019 using vegetation proxies, climatic, socioeconomic, topographic, and proximity forcing variables through a random forest (RF) regression modeling. We found high-density livestock hotspots in the south-central and southeastern regions, whereas medium-density clusters in the northern and northwestern regions of KZ. Interestingly, population density, proximity to settlements, nighttime lights, and temperature contributed to the efficient downscaling of district-level censuses to gridded estimates. This database will benefit stakeholders, the research community, land managers, and policymakers at regional and national levels.
  • Effects of different fertilization practices on CH4 and N2O emissions in various crop cultivation systems: A case study in Kazakhstan
    Maira KUSSAİNOVA, Maxat TOİSHİMANOV, Gulnaz ISKAKOVA, Nursultan NURGALİ, Jiquan CHEN
    Eurasian Journal of Soil Science, 2023
  • Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China
    Beibei Shen, Jingpeng Guo, Zhenwang Li, Jiquan Chen, Wei Fang, Maira Kussainova, Amartuvshin Amarjargal, Alim Pulatov, Ruirui Yan, Oleg A. Anenkhonov, Wenneng Zhou, Xiaoping Xin
    Remote Sensing, 2023
  • Grazing-induced cattle behaviour modulates the secondary production in a Eurasian steppe ecosystem
    Lulu Hou, Xiaoping Xin, Haixia Sun, Yi Tao, Jiquan Chen, Ruirui Yan, Xiang Zhang, Beibei Shen, Ahmed Ibrahim Ahmed Altome, Yousif Mohamed Zainelabdeen Hamed, Xu Wang, Serekpaev Nurlan, Nogayev Adilbek, Akhylbekova Balzhan, Maira Kussainova, Amartuvshin Amarjargal, Wei Fang, Alim Pulatov
    Science of the Total Environment, 2023
  • Effects of Long-Term Grazing on Feed Intake and Digestibility of Cattle in Meadow Steppe
    Lulu Hou, Xiaoping Xin, Beibei Shen, Qi Qin, Ahmed Ibrahim Ahmed Altome, Yousif Mohamed Zainelabdeen Hamed, Ruirui Yan, Serekpaev Nurlan, Nogayev Adilbek, Akhylbekova Balzhan, Maira Kussainova, Amartuvshin Amarjargal, Wei Fang, Alim Pulatov, Wenneng Zhou, Haixia Sun
    Agronomy, 2023
  • Optimal ranges of social-environmental drivers and their impacts on vegetation dynamics in Kazakhstan
    Kolluru Venkatesh, Ranjeet John, Jiquan Chen, Jingfeng Xiao, Reza Goljani Amirkhiz, Vincenzo Giannico, Maira Kussainova
    Science of the Total Environment, 2022
  • Untangling the impacts of socioeconomic and climatic changes on vegetation greenness and productivity in Kazakhstan
    Kolluru Venkatesh, Ranjeet John, Jiquan Chen, Meghann Jarchow, Reza Goljani Amirkhiz, Vincenzo Giannico, Sakshi Saraf, Khushboo Jain, Maira Kussainova, Jing Yuan
    Environmental Research Letters, 2022
  • Sustainability challenges for the social-environmental systems across the Asian Drylands Belt
    Jiquan Chen, Ranjeet John, Jing Yuan, Elizabeth A Mack, Pavel Groisman, Ginger Allington, Jianguo Wu, Peilei Fan, Kirsten M de Beurs, Arnon Karnieli, Garik Gutman, Martin Kappas, Gang Dong, Fangyuan Zhao, Zutao Ouyang, Amber L Pearson, Beyza Şat, Norman A Graham, Changliang Shao, Anna K Graham, Geoffrey M Henebry, Zhichao Xue, Amarjargal Amartuvshin, Luping Qu, Hogeun Park, Xiaoping Xin, Jingyan Chen, Li Tian, Colt Knight, Maira Kussainova, Fei Li, Christine Fürst, Jiaguo Qi
    Environmental Research Letters, 2022
  • Remote Sensing Approach for the Appearance and Disappearance of Oasis Farmland in Kazakhstan
    Buho Hoshino, Kazuki Seno, Maira Kussainova, Nobutake Nakatani, Satoru Hobara
    International Geoscience and Remote Sensing Symposium IGARSS, 2022
  • Towards a single integrative metric on the dynamics of social-environmental systems
    Jiquan Chen, Ranjeet John, Changliang Shao, Zutao Ouyang, Elizabeth A. Mack, Geoffrey M. Henebry, Gang Dong, Ginger R. H. Allington, Amber L. Pearson, Fangyuan Zhao, David P. Roy, Peilei Fan, Gabriela E. Shirkey, Li Tian, Maira Kussainova, Jingyan Chen, David E. Reed, Michael Abraha
    Sustainability Switzerland, 2021
  • Efficiency of using the rangeland hydrology and erosion model for assessing the degradation of pastures and forage lands in Aydarly, Kazakhstan
    Maira KUSSAİNOVA, Kenneth E. SPAETH, Ermekkul ZHAPARKULOVA
    Eurasian Journal of Soil Science, 2020
  • Soil properties that determine the mortality and growth of Haloxylon aphyllum in the Aral region, Kazakhstan
    Kayo Matsui, Tetsuhiro Watanabe, Maira Kussainova, Shinya Funakawa
    Arid Land Research and Management, 2019
  • Management of wood resources: A dilemma between conservation and livelihoods in a rural district in the Aral region
    Kayo Matsui, Yerlan Akhapov, Maira Kussainova, Shinya Funakawa
    Energy for Sustainable Development, 2017
  • The effect of applying the microbiofertiliser ‘‘MERS’’ on the soil microbial community and the productivity of winter wheat under the conditions of Southeast Kazakhstan
    Maira Kussainova, Marion Tauschke, Abdulla Saparov
    Environmental Science and Engineering, 2014

RECENT SCHOLAR PUBLICATIONS

  • Historical grazing intensity determines the response patterns of plant community and soil nutrient stocks to grazing exclusion in a temperate meadow steppe
    H Guo, X Xin, J Chen, PJ Murray, M Kussainova, W Fang, Z Zhao, H Li, ...
    Agriculture, Ecosystems & Environment 407, 110465 , 2026
    2026
    Citations: 1
  • Leveraging sUAS-Sentinel-2 synergy for cross-scale mapping of canopy cover and aboveground biomass across Mongolia and Kazakhstan
    V Kolluru, R John, J Chen, GM Henebry, J Xiao, R Shinde, M Kussainova, ...
    Remote Sensing of Environment 336, 115302 , 2026
    2026
  • Моделирование пространственно-временного распределения плотности пастбищного скота в Казахстане на основе машинного обучения
    MD Kussainova, V Kolluru, R John, J Chen, ND Nurgali, АА Zhapparova
    Herald of science of S. Seifullin Kazakh agrotechnical university … , 2025
    2025
  • A geospatial livestock-carrying capacity model (GLCC) in the Akmola Oblast, Kazakhstan
    J Qi, Z Lin, MA Weltz, KE Spaeth, G Iskakova, J Nesbit, D Toledo, ...
    Remote Sensing 17 (8), 1477 , 2025
    2025
    Citations: 1
  • Influence of Geographical Locations on Drinking Water Quality in Rural Pavlodar Region, Kazakhstan
    R Beisenova, J Chen, M Kussainova, K Tussupova, R Tazitdinova, ...
    Water 17 (7), 945 , 2025
    2025
    Citations: 2
  • Rangeland resource assessment in the Aqmola region of Kazakhstan.
    KES Jr, MA Weltz, J Nesbit, J Qi, WA Rutherford, CJ Williams, D Toledo, ...
    2025
  • Rangeland resource assessment in the aqmola region of Kazakhstan
    KE Spaeth Jr, MA Weltz, J Nesbit, J Qi, WA Rutherford, CJ Williams, ...
    Rangeland Ecology & Management 98, 389-398 , 2025
    2025
    Citations: 5
  • Multi-scale/multi-sensor estimates of canopy cover and above ground biomass trends in Mongolia and Kazakhstan
    R John, V Kolluru, J Chen, S Saraf, GM Henebry, J Xiao, A Chandel, ...
    AGU Fall Meeting Abstracts 2024, GC24G-05 , 2024
    2024
  • Harnessing the potential of drone imagery and Sentinel-1 data for cross-scale mapping of above-ground biomass and canopy cover across Mongolia and Kazakhstan
    V Kolluru, R John, S Saraf, J Chen, GM Henebry, J Xiao, M Kussainova, ...
    AGU Fall Meeting Abstracts 2024 (83), GC21Q-0083 , 2024
    2024
  • Water loss through evapotranspiration after precipitation events in bioenergy crops grown in similar climatic conditions
    K Postma, S Mane, M Shen, M Kussainova, R Beisenova, A Nanda, ...
    Frontiers in Environmental Science 12, 1463852 , 2024
    2024
    Citations: 2
  • Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan
    V Kolluru, R John, J Chen, P Konkathi, S Kolluru, S Saraf, GM Henebry, ...
    Communications Earth & Environment 5 (1), 424 , 2024
    2024
    Citations: 16
  • Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model
    Z Li, L Ding, B Shen, J Chen, D Xu, X Wang, W Fang, A Pulatov, ...
    Science of the Total Environment 909, 168594 , 2024
    2024
    Citations: 13
  • Оценка эрозии почвы и состояния качества воды в нижней части Сырдарьи с использованием метода арифметического индекса качества воды
    Ф Салехи, МД Кусаинова
    Почвоведение и агрохимия, 95-107 , 2024
    2024
  • МАЙБҰРШАҚ ЕГІСТІГІ ЖАҒДАЙЫНДА КӘДІМГІ СҰР ТОПЫРАҚТАРДЫҢ ЫЛҒАЛ ҚОРЫ ЖӘНЕ СУ-ФИЗИКАЛЫҚ ҚАСИЕТТЕРІНЕ СУАРУ РЕЖИМІН ОҢТАЙЛАНДЫРУДЫҢ ӘСЕРІ
    М Бейсенбаева, А Жаппарова, Д Сыдық, К Караева, М Кусаинова, ...
    ІЗДЕНІСТЕР, НƏТИЖЕЛЕР, 123-132 , 2024
    2024
  • Influence of time conditions on the soil temperature indicators in Kazakhstan
    M Kussainova, M Toishimanov, A Syzdyk, T Tamenov, N Nurgali, J Chen
    Caspian Journal of Environmental Sciences 21 (5), 1117-1122 , 2023
    2023
    Citations: 9
  • Gridded livestock density database and spatial trends for Kazakhstan
    V Kolluru, R John, S Saraf, J Chen, B Hankerson, S Robinson, ...
    Scientific Data 10 (1), 839 , 2023
    2023
    Citations: 45
  • Effects of different fertilization practices on CH4 and N2O emissions in various crop cultivation systems: A case study in Kazakhstan.
    M Kussainova, M Toishimanov, G Iskakova, N Nurgali
    Eurasian Journal of Soil Science 12 (4) , 2023
    2023
    Citations: 6
  • Comparative verification of leaf area index products for different grassland types in inner Mongolia, China
    B Shen, J Guo, Z Li, J Chen, W Fang, M Kussainova, A Amarjargal, ...
    Remote Sensing 15 (19), 4736 , 2023
    2023
    Citations: 9
  • Grazing-induced cattle behaviour modulates the secondary production in a Eurasian steppe ecosystem
    L Hou, X Xin, H Sun, Y Tao, J Chen, R Yan, X Zhang, B Shen, AIA Altome, ...
    Science of the Total Environment 889, 164191 , 2023
    2023
    Citations: 13
  • Effects of long-term grazing on feed intake and digestibility of cattle in meadow steppe
    L Hou, X Xin, B Shen, Q Qin, AIA Altome, YMZ Hamed, R Yan, S Nurlan, ...
    Agronomy 13 (7), 1760 , 2023
    2023
    Citations: 8

MOST CITED SCHOLAR PUBLICATIONS

  • Optimal ranges of social-environmental drivers and their impacts on vegetation dynamics in Kazakhstan
    V Kolluru, R John, J Chen, J Xiao, RG Amirkhiz, V Giannico, ...
    Science of the Total Environment 847, 157562 , 2022
    2022
    Citations: 84
  • Sustainability challenges for the social-environmental systems across the Asian Drylands Belt
    J Chen, R John, J Yuan, EA Mack, P Groisman, G Allington, J Wu, P Fan, ...
    Environmental Research Letters 17 (2), 023001 , 2022
    2022
    Citations: 51
  • Soil dehydrogenase activity of natural macro aggregates in a toposequence of forest soil
    M Kussainova, M Durmuş, A Erkoçak, R Kızılkaya
    Eurasian Journal of Soil Science 2 (1), 69-75 , 2013
    2013
    Citations: 47
  • Gridded livestock density database and spatial trends for Kazakhstan
    V Kolluru, R John, S Saraf, J Chen, B Hankerson, S Robinson, ...
    Scientific Data 10 (1), 839 , 2023
    2023
    Citations: 45
  • Untangling the impacts of socioeconomic and climatic changes on vegetation greenness and productivity in Kazakhstan
    K Venkatesh, R John, J Chen, M Jarchow, RG Amirkhiz, V Giannico, ...
    Environmental Research Letters 17 (9), 095007 , 2022
    2022
    Citations: 36
  • Social-ecological systems across the Asian Drylands Belt (ADB)
    J Chen, Z Ouyang, R John, GM Henebry, PY Groisman, A Karnieli, ...
    Landscape dynamics of drylands across Greater Central Asia: people … , 2020
    2020
    Citations: 24
  • Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan
    V Kolluru, R John, J Chen, P Konkathi, S Kolluru, S Saraf, GM Henebry, ...
    Communications Earth & Environment 5 (1), 424 , 2024
    2024
    Citations: 16
  • Efficiency of using the rangeland hydrology and erosion model for assessing the degradation of pastures and forage lands in Aydarly, Kazakhstan
    M Kussainova, KE Spaeth, E Zhaparkulova
    Eurasian Journal of Soil Science 9 (2), 186-193 , 2020
    2020
    Citations: 16
  • Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model
    Z Li, L Ding, B Shen, J Chen, D Xu, X Wang, W Fang, A Pulatov, ...
    Science of the Total Environment 909, 168594 , 2024
    2024
    Citations: 13
  • Grazing-induced cattle behaviour modulates the secondary production in a Eurasian steppe ecosystem
    L Hou, X Xin, H Sun, Y Tao, J Chen, R Yan, X Zhang, B Shen, AIA Altome, ...
    Science of the Total Environment 889, 164191 , 2023
    2023
    Citations: 13
  • Soil properties that determine the mortality and growth of Haloxylon aphyllum in the Aral region, Kazakhstan
    K Matsui, T Watanabe, M Kussainova, S Funakawa
    Arid Land Research and Management 33 (1), 37-54 , 2019
    2019
    Citations: 13
  • Influence of time conditions on the soil temperature indicators in Kazakhstan
    M Kussainova, M Toishimanov, A Syzdyk, T Tamenov, N Nurgali, J Chen
    Caspian Journal of Environmental Sciences 21 (5), 1117-1122 , 2023
    2023
    Citations: 9
  • Comparative verification of leaf area index products for different grassland types in inner Mongolia, China
    B Shen, J Guo, Z Li, J Chen, W Fang, M Kussainova, A Amarjargal, ...
    Remote Sensing 15 (19), 4736 , 2023
    2023
    Citations: 9
  • Ocenka kachestva i potencial'noj urozhajnosti pochv v global'nom masshtabe
    E Smolentseva, MK Sulejmenov, AS Saparov, KM Pachikin, ...
    Pochvovedenie i Agrokhimija (4), 81-91 , 2011
    2011
    Citations: 9
  • Effects of long-term grazing on feed intake and digestibility of cattle in meadow steppe
    L Hou, X Xin, B Shen, Q Qin, AIA Altome, YMZ Hamed, R Yan, S Nurlan, ...
    Agronomy 13 (7), 1760 , 2023
    2023
    Citations: 8
  • Towards a single integrative metric on the dynamics of social-environmental systems
    J Chen, R John, C Shao, Z Ouyang, EA Mack, GM Henebry, G Dong, ...
    Sustainability 13 (20), 11246 , 2021
    2021
    Citations: 7
  • Effects of different fertilization practices on CH4 and N2O emissions in various crop cultivation systems: A case study in Kazakhstan.
    M Kussainova, M Toishimanov, G Iskakova, N Nurgali
    Eurasian Journal of Soil Science 12 (4) , 2023
    2023
    Citations: 6
  • Rangeland resource assessment in the aqmola region of Kazakhstan
    KE Spaeth Jr, MA Weltz, J Nesbit, J Qi, WA Rutherford, CJ Williams, ...
    Rangeland Ecology & Management 98, 389-398 , 2025
    2025
    Citations: 5
  • Management of wood resources: A dilemma between conservation and livelihoods in a rural district in the Aral region
    K Matsui, Y Akhapov, M Kussainova, S Funakawa
    Energy for Sustainable Development 41, 121-127 , 2017
    2017
    Citations: 4
  • Оценка качества и потенциальной урожайности почв в глобальном масштабе
    ЕН Смоленцева, МК Сулейменов, АС Сапаров, КМ Пачикин, ...
    Почвоведение и агрохимия, 81-91 , 2011
    2011
    Citations: 4