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DOI10.5194/acp-21-3059-2021
Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes
Wang, Guocheng; Luo, Zhongkui; Huang, Yao; Sun, Wenjuan; Wei, Yurong; Xiao, Liujun; Deng, Xi; Zhu, Jinhuan; Li, Tingting; Zhang, Wen
通讯作者Wang, GC (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China.
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2021
卷号21期号:4页码:3059-3071
英文摘要Grassland aboveground biomass (AGB) is a critical component of the global carbon cycle and reflects ecosystem productivity. Although it is widely acknowledged that dynamics of grassland biomass is significantly regulated by climate change, in situ evidence at meaningfully large spatiotemporal scales is limited. Here, we combine biomass measurements from six long-term (> 30 years) experiments and data in existing literatures to explore the spatiotemporal changes in AGB in Inner Mongolian temperate grasslands. We show that, on average, annual AGB over the past 4 decades is 2561, 1496 and 835 kg ha(-1), respectively, in meadow steppe, typical steppe and desert steppe in Inner Mongolia. The spatiotemporal changes of AGB are regulated by interactions of climatic attributes, edaphic properties, grassland type and livestock. Using a machine-learningbased approach, we map annual AGB (from 1981 to 2100) across the Inner Mongolian grasslands at the spatial resolution of 1 km. We find that on the regional scale, meadow steppe has the highest annual AGB, followed by typical and desert steppe. Future climate change characterized mainly by warming could lead to a general decrease in grassland AGB. Under climate change, on average, compared with the historical AGB (i.e. average of 1981-2019), the AGB at the end of this century (i.e. average of 2080-2100) would decrease by 14 % under Representative Concentration Pathway (RCP) 4.5 and 28 % under RCP8.5. If the carbon dioxide (CO2) enrichment effect on AGB is considered, however, the estimated decreases in future AGB can be reversed due to the growing atmospheric CO2 concentrations under both RCP4.5 and RCP8.5. The projected changes in AGB show large spatial and temporal disparities across different grassland types and RCP scenarios. Our study demonstrates the accuracy of predictions in AGB using a modelling approach driven by several readily obtainable environmental variables and provides new data at a large scale and fine resolution extrapolated from field measurements.
类型Article
语种英语
开放获取类型Green Submitted, gold
收录类别SCI-E
WOS记录号WOS:000625878100002
WOS关键词PRECIPITATION GRADIENT ; PRIMARY PRODUCTIVITY ; SPECIES RICHNESS ; NORTHERN CHINA ; CO2 ; CHRONOSEQUENCES ; ECOSYSTEM ; DYNAMICS ; DECLINE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构中国科学院植物研究所 ; 中国科学院大气物理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349618
作者单位[Wang, Guocheng; Li, Tingting; Zhang, Wen] Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China; [Luo, Zhongkui; Xiao, Liujun] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China; [Huang, Yao; Sun, Wenjuan] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China; [Wei, Yurong] Inner Mongolia Ecol & Agrometeorol Ctr, Hohhot 100051, Inner Mongolia, Peoples R China; [Deng, Xi] Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519000, Peoples R China; [Deng, Xi] Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai 519000, Peoples R China; [Zhu, Jinhuan] Chinese Acad Sci, Inst Atmospher Phys, LAOR, Beijing 100029, Peoples R China
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Wang, Guocheng,Luo, Zhongkui,Huang, Yao,et al. Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes[J]. 中国科学院植物研究所, 中国科学院大气物理研究所,2021,21(4):3059-3071.
APA Wang, Guocheng.,Luo, Zhongkui.,Huang, Yao.,Sun, Wenjuan.,Wei, Yurong.,...&Zhang, Wen.(2021).Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(4),3059-3071.
MLA Wang, Guocheng,et al."Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.4(2021):3059-3071.
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