Rentsenduger Boldbayar
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Rentsenduger Boldbayar has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Javzandolgor Chuluunbat
University of Chinese Academy of Sciences, Beijing 100190, China
2 shared publications - Qun Guo
Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
2 shared publications - Shenggong Li
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2 shared publications - A Dashtseren
Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, 15170, Mongolia, Mongolia
1 shared publication - B Dul
Agency of Land Administration and Management, Geodesy and Cartography, Government building XII, Barilgachidiin square, Ulaanbaatar, Mongolia, Mongolia
1 shared publication - Byambakhuu Gantumur
Department of Geography, School of Art and Sciences, National University of Mongolia, Ulaanbaatar 14200, Mongolia
1 shared publication
Latest Publications
- Open Access
- 14 June 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (12) , 5498
Spatio-Temporal Variations in Grassland Carrying Capacity Derived from Remote Sensing NPP in Mongolia
The escalation in the population of livestock coupled with inadequate precipitation has caused a reduction in pasture biomass, thereby resulting in diminished grassland carrying capacity (GCC) and pasture degradation. In this research, net primary productivity (NPP) data, sourced from the Global Land Surface Satellite (GLASS) and Moderate Resolution Imaging Spectroradiometer (MODIS) datasets from 1982 to 2020, were initially transformed into aboveground biomass (AGB) estimates. These estimates were subsequently utilized to evaluate and assess the long-term trends of GCC across Mongolia. The MODIS data indicated an upward trend in AGB from 2000 to 2020, whereas the GLASS data reflected a downward trend from 1982 to 2018. Between 1982 and 2020, climatic analysis uncovered robust positive correlations between AGB and precipitation (R > 0.80) and negative correlations with temperature (R < −0.60). These climatic alterations have led to a reduction in AGB, further impairing the regenerative capacity of grasslands. Concurrently, livestock numbers have generally increased since 1982, with a decrease in certain years due to dzud and summer drought, leading to the increase in the GCC. GCC assessment found that 37.5% of grasslands experienced severe overgrazing and 31.9–40.7% was within sustainable limits. Spatially, the eastern region of Mongolia could sustainably support current livestock numbers; the western and southern regions, as well as parts of northern Mongolia, have exhibited moderate to critical levels of grassland utilization. A detailed analysis of GCC dynamics and its climatic impacts would offer scientific support for policymakers in managing grasslands in the Mongolian Plateau.
- 14 June 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (12) , 5498
Open AccessSpatio-Temporal Variations in Grassland Carrying Capacity Derived from Remote Sensing NPP in Mongolia
The escalation in the population of livestock coupled with inadequate precipitation has caused a reduction in pasture biomass, thereby resulting in diminished grassland carrying capacity (GCC) and pasture degradation. In this research, net primary productivity (NPP) data, sourced from the Global Land Surface Satellite (GLASS) and Moderate Resolution Imaging Spectroradiometer (MODIS) datasets from 1982 to 2020, were initially transformed into aboveground biomass (AGB) estimates. These estimates were subsequently utilized to evaluate and assess the long-term trends of GCC across Mongolia. The MODIS data indicated an upward trend in AGB from 2000 to 2020, whereas the GLASS data reflected a downward trend from 1982 to 2018. Between 1982 and 2020, climatic analysis uncovered robust positive correlations between AGB and precipitation (R > 0.80) and negative correlations with temperature (R < −0.60). These climatic alterations have led to a reduction in AGB, further impairing the regenerative capacity of grasslands. Concurrently, livestock numbers have generally increased since 1982, with a decrease in certain years due to dzud and summer drought, leading to the increase in the GCC. GCC assessment found that 37.5% of grasslands experienced severe overgrazing and 31.9–40.7% was within sustainable limits. Spatially, the eastern region of Mongolia could sustainably support current livestock numbers; the western and southern regions, as well as parts of northern Mongolia, have exhibited moderate to critical levels of grassland utilization. A detailed analysis of GCC dynamics and its climatic impacts would offer scientific support for policymakers in managing grasslands in the Mongolian Plateau.
- Open Access
- 11 April 2025
- Published by MDPI AG in Preprints.org
Spatio-Temporary Variations of Grassland Carrying Capacity Derived from Remote Sensing NPP in Mongolia
The increase in livestock numbers and insufficient precipitation have led to a decline in pasture biomass, resulting in grassland carrying capacity (GCC) and pasture degradation. In this study, net primary productivity (NPP) data, which were derived from the Global Land Surface Satellite (GLASS) and Moderate Resolution Imaging Spectroradiometer (MODIS) datasets spanning from 1982 to 2020, were firstly converted into aboveground biomass (AGB) and then used to estimate and assess long-term trends of GCC across Mongolia. Between 1982 and 2020, Mongolia's climate exhibited a warming and drying trend. Although livestock number have generally increased since 1982, certain years experienced declines due to winter dzud and summer droughts. These climatic changes reduce net primary productivity (NPP), further weakening the regenerative capacity of grasslands. Simultaneously, the increasing livestock number intensifies grazing pressure, surpassing the GCC. Finally, this grassland carrying capacity exceeded (GCCe) leads to reduced vegetation cover and desertification of grassland. Spatially, vegetation productivity and precipitation exhibited a declining gradient from north to south, whereas temperature increased progressively from to north to south. GCC assessments revealed that the eastern region of Mongolia could support current livestock number sustainably. In contrast, the western and southern regions, as well as parts of northern Mongolia, exhibited moderate to critical levels of grassland utilization. This study enabled a detailed analysis of grassland dynamics and climatic impacts, providing an assessment of temporal changes in Mongolia's GCC.
- 11 April 2025
- Published by MDPI AG in Preprints.org
Open AccessSpatio-Temporary Variations of Grassland Carrying Capacity Derived from Remote Sensing NPP in Mongolia
The increase in livestock numbers and insufficient precipitation have led to a decline in pasture biomass, resulting in grassland carrying capacity (GCC) and pasture degradation. In this study, net primary productivity (NPP) data, which were derived from the Global Land Surface Satellite (GLASS) and Moderate Resolution Imaging Spectroradiometer (MODIS) datasets spanning from 1982 to 2020, were firstly converted into aboveground biomass (AGB) and then used to estimate and assess long-term trends of GCC across Mongolia. Between 1982 and 2020, Mongolia's climate exhibited a warming and drying trend. Although livestock number have generally increased since 1982, certain years experienced declines due to winter dzud and summer droughts. These climatic changes reduce net primary productivity (NPP), further weakening the regenerative capacity of grasslands. Simultaneously, the increasing livestock number intensifies grazing pressure, surpassing the GCC. Finally, this grassland carrying capacity exceeded (GCCe) leads to reduced vegetation cover and desertification of grassland. Spatially, vegetation productivity and precipitation exhibited a declining gradient from north to south, whereas temperature increased progressively from to north to south. GCC assessments revealed that the eastern region of Mongolia could support current livestock number sustainably. In contrast, the western and southern regions, as well as parts of northern Mongolia, exhibited moderate to critical levels of grassland utilization. This study enabled a detailed analysis of grassland dynamics and climatic impacts, providing an assessment of temporal changes in Mongolia's GCC.
- Open Access
Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau
Water use efficiency (WUE) connects two key processes in terrestrial ecosystems: the carbon and water cycles. Thus, it is important to evaluate temporal and spatial changes in WUE over a prolonged period. The spatiotemporal variation characteristics of the WUE in the Mongolian Plateau from 1982 to 2018 were analyzed based on the net primary productivity (NPP), evapotranspiration (ET), temperature, precipitation, and soil moisture. In this study, we used remote sensing data and various statistical methods to evaluate the spatiotemporal patterns of water use efficiency and their potential influencing factors on the Mongolian Plateau from 1982 to 2018. In total, 27.02% of the region witnessed a significant decline in the annual WUE over the 37 years. Two abnormal surges in the WUESeason (April–October) were detected, from 1997 to 1998 and from 2007 to 2009. The trend in the annual WUE in some broadleaf forest areas in the middle and northeast of the Mongolian Plateau reversed from the original decreasing trend to an increasing trend. WUE has shown strong resilience in previous analytical studies, whereas the WUE in the artificial vegetation area in the middle of the Mongolian Plateau showed weak resilience. WUE had a significant positive correlation with precipitation, soil moisture, and the drought severity index (DSI) but a weak correlation with temperature. WUE had strong resistance to abnormal water disturbances; however, its resistance to the effects of temperature and DSI anomalies was weak. The degree of interpretation of vegetation changes for WUE was higher than that for meteorological factors, and WUE showed weak resistance to normalized difference vegetation index (NDVI) disturbances. Delaying the start of the vegetation growing season had an increasing effect on WUE, and the interaction between phenological and meteorological vegetation factors had a non-linear enhancing effect on WUE. Human activities have contributed significantly to the increase in WUE in the eastern, central, and southern regions of the Mongolian Plateau. These results provide a reference for the study of the carbon–water cycle in the Mongolian Plateau.
Open AccessWater Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau
Water use efficiency (WUE) connects two key processes in terrestrial ecosystems: the carbon and water cycles. Thus, it is important to evaluate temporal and spatial changes in WUE over a prolonged period. The spatiotemporal variation characteristics of the WUE in the Mongolian Plateau from 1982 to 2018 were analyzed based on the net primary productivity (NPP), evapotranspiration (ET), temperature, precipitation, and soil moisture. In this study, we used remote sensing data and various statistical methods to evaluate the spatiotemporal patterns of water use efficiency and their potential influencing factors on the Mongolian Plateau from 1982 to 2018. In total, 27.02% of the region witnessed a significant decline in the annual WUE over the 37 years. Two abnormal surges in the WUESeason (April–October) were detected, from 1997 to 1998 and from 2007 to 2009. The trend in the annual WUE in some broadleaf forest areas in the middle and northeast of the Mongolian Plateau reversed from the original decreasing trend to an increasing trend. WUE has shown strong resilience in previous analytical studies, whereas the WUE in the artificial vegetation area in the middle of the Mongolian Plateau showed weak resilience. WUE had a significant positive correlation with precipitation, soil moisture, and the drought severity index (DSI) but a weak correlation with temperature. WUE had strong resistance to abnormal water disturbances; however, its resistance to the effects of temperature and DSI anomalies was weak. The degree of interpretation of vegetation changes for WUE was higher than that for meteorological factors, and WUE showed weak resistance to normalized difference vegetation index (NDVI) disturbances. Delaying the start of the vegetation growing season had an increasing effect on WUE, and the interaction between phenological and meteorological vegetation factors had a non-linear enhancing effect on WUE. Human activities have contributed significantly to the increase in WUE in the eastern, central, and southern regions of the Mongolian Plateau. These results provide a reference for the study of the carbon–water cycle in the Mongolian Plateau.