Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-3059-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-3059-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Zhongkui Luo
College of Environmental and Resource Sciences, Zhejiang University,
Hangzhou 310058, Zhejiang, China
Yao Huang
State Key Laboratory of Vegetation and Environmental Change, Institute
of Botany, Chinese Academy of Sciences, Beijing, 100093, China
Wenjuan Sun
State Key Laboratory of Vegetation and Environmental Change, Institute
of Botany, Chinese Academy of Sciences, Beijing, 100093, China
Yurong Wei
Inner Mongolia Ecology and Agrometeorology Centre, Hohhot, Inner
Mongolia 100051, China
Liujun Xiao
College of Environmental and Resource Sciences, Zhejiang University,
Hangzhou 310058, Zhejiang, China
School of Atmospheric Sciences and Guangdong Province Key Laboratory
for Climate Change and Natural Disaster Studies, Sun Yat-sen University,
Zhuhai, 519000, China
Jinhuan Zhu
LAOR, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Tingting Li
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Wen Zhang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
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Cited
16 citations as recorded by crossref.
- Water availability dominated vegetation productivity of Inner Mongolia grasslands from 1982 to 2015 B. Gao et al. 10.1016/j.ecolind.2023.110291
- Development of an apparatus for evaluating the visual and olfactory discrimination ability of cattle under controlled target visibility M. Hirata et al. 10.1016/j.beproc.2021.104526
- Spatiotemporal variation of marsh vegetation productivity and climatic effects in Inner Mongolia, China Y. Wang et al. 10.3389/fevo.2023.1138965
- Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine Learning Regression Algorithms Incorporating Empirical Knowledge B. Shen et al. 10.3390/rs14174196
- Dynamic monitoring of aboveground biomass in inner Mongolia grasslands over the past 23 Years using GEE and analysis of its driving forces D. Yang et al. 10.1016/j.jenvman.2024.120415
- Grazing weakens the carbon sequestration capacity of dry temperate grassland ecosystems in Central Asia Y. Wang et al. 10.1016/j.catena.2024.108608
- Spatiotemporal fusion of multi-source remote sensing data for estimating aboveground biomass of grassland Y. Zhou et al. 10.1016/j.ecolind.2023.109892
- A more effective approach for species-level classifications using multi-source remote sensing data: Validation and application to an arid and semi-arid grassland Y. Li et al. 10.1016/j.ecolind.2024.111853
- Comparison and Selection of Conventional PCR Primer Sets for Studies Associated with Nitrogen Cycle Microorganisms in Surface Soil S. Lee et al. 10.3390/app122010314
- Chilling Accumulation Is Not an Effective Predictor of Vegetation Green‐Up Date in Inner Mongolian Grasslands G. Wang et al. 10.1029/2021GL096558
- Comparative analysis of random forest, exploratory regression, and structural equation modeling for screening key environmental variables in evaluating rangeland above-ground biomass N. Kaveh et al. 10.1016/j.ecoinf.2023.102251
- Aboveground Biomass in China’s Managed Grasslands and Their Responses to Environmental and Management Variations H. Meng et al. 10.3390/agronomy12122913
- Soil water retention capacity surpasses climate humidity in determining soil organic carbon content but not plant production in the steppe zone of Northern China K. Tang et al. 10.1016/j.ecolind.2022.109129
- Altered Trends in Light Use Efficiency of Grassland Ecosystem in Northern China L. Yuan et al. 10.3390/rs15225275
- Estimation of Heat Released from Fire Based on Combustible Load in Inner Mongolian Grasslands L. Jiang et al. 10.3390/land11112099
- Preseason heat requirement and days of precipitation jointly regulate plant phenological variations in Inner Mongolian grassland G. Wang et al. 10.1016/j.agrformet.2021.108783
16 citations as recorded by crossref.
- Water availability dominated vegetation productivity of Inner Mongolia grasslands from 1982 to 2015 B. Gao et al. 10.1016/j.ecolind.2023.110291
- Development of an apparatus for evaluating the visual and olfactory discrimination ability of cattle under controlled target visibility M. Hirata et al. 10.1016/j.beproc.2021.104526
- Spatiotemporal variation of marsh vegetation productivity and climatic effects in Inner Mongolia, China Y. Wang et al. 10.3389/fevo.2023.1138965
- Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine Learning Regression Algorithms Incorporating Empirical Knowledge B. Shen et al. 10.3390/rs14174196
- Dynamic monitoring of aboveground biomass in inner Mongolia grasslands over the past 23 Years using GEE and analysis of its driving forces D. Yang et al. 10.1016/j.jenvman.2024.120415
- Grazing weakens the carbon sequestration capacity of dry temperate grassland ecosystems in Central Asia Y. Wang et al. 10.1016/j.catena.2024.108608
- Spatiotemporal fusion of multi-source remote sensing data for estimating aboveground biomass of grassland Y. Zhou et al. 10.1016/j.ecolind.2023.109892
- A more effective approach for species-level classifications using multi-source remote sensing data: Validation and application to an arid and semi-arid grassland Y. Li et al. 10.1016/j.ecolind.2024.111853
- Comparison and Selection of Conventional PCR Primer Sets for Studies Associated with Nitrogen Cycle Microorganisms in Surface Soil S. Lee et al. 10.3390/app122010314
- Chilling Accumulation Is Not an Effective Predictor of Vegetation Green‐Up Date in Inner Mongolian Grasslands G. Wang et al. 10.1029/2021GL096558
- Comparative analysis of random forest, exploratory regression, and structural equation modeling for screening key environmental variables in evaluating rangeland above-ground biomass N. Kaveh et al. 10.1016/j.ecoinf.2023.102251
- Aboveground Biomass in China’s Managed Grasslands and Their Responses to Environmental and Management Variations H. Meng et al. 10.3390/agronomy12122913
- Soil water retention capacity surpasses climate humidity in determining soil organic carbon content but not plant production in the steppe zone of Northern China K. Tang et al. 10.1016/j.ecolind.2022.109129
- Altered Trends in Light Use Efficiency of Grassland Ecosystem in Northern China L. Yuan et al. 10.3390/rs15225275
- Estimation of Heat Released from Fire Based on Combustible Load in Inner Mongolian Grasslands L. Jiang et al. 10.3390/land11112099
- Preseason heat requirement and days of precipitation jointly regulate plant phenological variations in Inner Mongolian grassland G. Wang et al. 10.1016/j.agrformet.2021.108783
Latest update: 13 Dec 2024
Short summary
We simulate the spatiotemporal dynamics of aboveground biomass (AGB) in Inner Mongolian grasslands using a machine-learning-based approach. Under climate change, on average, compared with the historical AGB (average of 1981–2019), the AGB at the end of this century (average of 2080–2100) would decrease by 14 % under RCP4.5 and 28 % under RCP8.5. The decrease in AGB might be mitigated or even reversed by positive carbon dioxide enrichment effects on plant growth.
We simulate the spatiotemporal dynamics of aboveground biomass (AGB) in Inner Mongolian...
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