Synergistic effects of multiple global change drivers on terrestrial ecosystem carbon sink
文献类型:期刊论文
作者 | Tang, Shiming5,6; Tian, Dashuan4,6; Wang, Jinsong4,6; Zhang, Ruiyang6; Wang, Song6; Song, Jian3; Wan, Shiqiang3; Zhang, Jinxin2; Zhang, Shuang1; Li, Zhaolei6 |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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出版日期 | 2024 |
卷号 | 906页码:8 |
关键词 | Global change interaction Nitrogen addition ElevatedCO2 |
ISSN号 | 0048-9697 |
DOI | 10.1016/j.scitotenv.2023.167554 |
通讯作者 | Tian, Dashuan(tiands@igsnrr.ac.cn) |
英文摘要 | Multiple global change drivers typically co-occur in terrestrial ecosystems, usually with complex interactions on ecosystem carbon fluxes. However, how they interactively impact terrestrial carbon sinks remains unknown. Here, we synthesized 82 field experiments that studied the individual and pairwise effects among nitrogen addition (N), increased precipitation (IP), elevated CO2 (eCO2) and warming, with direct measurements of net ecosystem productivity (NEP), gross ecosystem productivity (GEP) and ecosystem respiration (ER). We found that synergistic interactions mostly occurred between pairs of global change drivers on carbon fluxes. Moreover, these interactions varied with treatment magnitude, experimental duration and background precipitation. Spe-cifically, the synergistic effect of N x IP became stronger with experimental precipitation magnitude and background rainfall. With an increasing N addition rate, N and eCO2 had weaker interactive effects on NEP. Warming and IP were more synergic to enhance NEP with higher levels of warming magnitude. However, the interactive effects of N x eCO2 on ER decreased over the experimental duration. Overall, this study provides new insights into the context-dependent occurrence of interactions among multiple global change drivers on ecosystem carbon sinks. These new findings are valuable to validate land C-cycle models with complex global change interactions and advance the next generations of future experimental design. |
WOS关键词 | PROGRESSIVE NITROGEN LIMITATION ; ELEVATED ATMOSPHERIC CO2 ; SOIL RESPIRATION ; WATER DYNAMICS ; CLIMATE-CHANGE ; PHOSPHORUS ; RESPONSES ; PRECIPITATION ; GRASSLAND ; STIMULATION |
资助项目 | National Natural Science Foundation of China[32271636] ; National Natural Science Foundation of China[2020RC003] ; Youth Innovation Promotion Association CAS[2021050] ; Natural Science Foundation of Inner Mongolia[2021MS03081] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:001098322000001 |
出版者 | ELSEVIER |
资助机构 | National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; Natural Science Foundation of Inner Mongolia |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/199504] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Tian, Dashuan |
作者单位 | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Chinese Acad Forestry, Inst Ecol Conservat & Restorat, Natl Forestry & Grassland Adm, Grassland Res Ctr, Beijing 100091, Peoples R China 3.Hebei Univ, Coll Life Sci, Baoding 071002, Hebei, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Yuquanlu, Beijing 100049, Peoples R China 5.Chinese Acad Agr Sci, Inst Grassland Res, Key Lab Model Innovat Forage Prod Efficiency, Minist Agr & Rural Affuirs, Hohhot 010010, Peoples R China 6.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Shiming,Tian, Dashuan,Wang, Jinsong,et al. Synergistic effects of multiple global change drivers on terrestrial ecosystem carbon sink[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,906:8. |
APA | Tang, Shiming.,Tian, Dashuan.,Wang, Jinsong.,Zhang, Ruiyang.,Wang, Song.,...&Niu, Shuli.(2024).Synergistic effects of multiple global change drivers on terrestrial ecosystem carbon sink.SCIENCE OF THE TOTAL ENVIRONMENT,906,8. |
MLA | Tang, Shiming,et al."Synergistic effects of multiple global change drivers on terrestrial ecosystem carbon sink".SCIENCE OF THE TOTAL ENVIRONMENT 906(2024):8. |
入库方式: OAI收割
来源:地理科学与资源研究所
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