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A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change
Song, J (Song, Jian)1,2; Wan, S (Wan, Shiqiang)1,2; Piao, S (Piao, Shilong)3,4,5; Knapp, AK (Knapp, Alan K.)6,7; Classen, AT (Classen, Aimee T.)8,9; Vicca, S (Vicca, Sara)10; Ciais, P (Ciais, Philippe)3,11; Hovenden, MJ (Hovenden, Mark J.)12; Leuzinger, S (Leuzinger, Sebastian)13; Beier, C (Beier, Claus)14; Kardol, P (Kardol, Paul)15; Xia, JY (Xia, Jianyang)16,17; Liu, Q (Liu, Qiang)3; Ru, JY (Ru, Jingyi)2; Zhou, ZX (Zhou, Zhenxing)2; Luo, YQ (Luo, Yiqi)18; Guo, DL (Guo, Dali)19; Langley, JA (Langley, J. Adam)20; Zscheischler, J (Zscheischler, Jakob)21,22; Dukes, JS (Dukes, Jeffrey S.)23,24; Tang, JW (Tang, Jianwu)25; Chen, JQ (Chen, Jiquan)26; Hofmockel, KS (Hofmockel, Kirsten S.)27,28; Kueppers, LM (Kueppers, Lara M.)29,30; Rustad, L (Rustad, Lindsey)31; Liu, LL (Liu, Lingli)32; Smith, MD (Smith, Melinda D.)6,7; Templer, PH (Templer, Pamela H.)33; Thomas, RQ (Thomas, R. Quinn)34; Norby, RJ (Norby, Richard J.)35,36; Phillips, RP (Phillips, Richard P.)37; Niu, SL (Niu, Shuli)38; Fatichi, S (Fatichi, Simone)39; Wang, YP (Wang, Yingping)40; Shao, PS (Shao, Pengshuai)41; Han, HY (Han, Hongyan)41; Wang, DD (Wang, Dandan)2; Lei, LJ (Lei, Lingjie)2; Wang, JL (Wang, Jiali)2; Li, XN (Li, Xiaona)2; Zhang, Q (Zhang, Qian)2; Li, XM (Li, Xiaoming)2; Su, FL (Su, Fanglong)2; Liu, B (Liu, Bin)2; Yang, F (Yang, Fan)2; Ma, GG (Ma, Gaigai)2; Li, GY (Li, Guoyong)2; Liu, YC (Liu, Yanchun)2; Liu, YZ (Liu, Yinzhan)2; Yang, ZL (Yang, Zhongling)2; Zhang, KS (Zhang, Kesheng)2; Miao, Y (Miao, Yuan)2; Hu, MJ (Hu, Mengjun)2; Yan, C (Yan, Chuang)2; Zhang, A (Zhang, Ang)2; Zhong, MX (Zhong, Mingxing)2; Hui, Y (Hui, Yan)2; Li, Y (Li, Ying)2; Zheng, MM (Zheng, Mengmei)2

Direct quantification of terrestrial biosphere responses to global change is crucial for projections of future climate change in Earth system models. Here, we synthesized ecosystem carbon-cycling data from 1,119 experiments performed over the past four decades concerning changes in temperature, precipitation, CO2 and nitrogen across major terrestrial vegetation types of the world. Most experiments manipulated single rather than multiple global change drivers in temperate ecosystems of the USA, Europe and China. The magnitudes of warming and elevated CO2 treatments were consistent with the ranges of future projections, whereas those of precipitation changes and nitrogen inputs often exceeded the projected ranges. Increases in global change drivers consistently accelerated, but decreased precipitation slowed down carbon-cycle processes. Nonlinear (including synergistic and antagonistic) effects among global change drivers were rare. Belowground carbon allocation responded negatively to increased precipitation and nitrogen addition and positively to decreased precipitation and elevated CO2. The sensitivities of carbon variables to multiple global change drivers depended on the background climate and ecosystem condition, suggesting that Earth system models should be evaluated using site-specific conditions for best uses of this large dataset. Together, this synthesis underscores an urgent need to explore the interactions among multiple global change drivers in under-represented regions such as semi-arid ecosystems, forests in the tropics and subtropics, and Arctic tundra when forecasting future terrestrial carbon-climate feedback.

Subject AreaEcology ; Evolutionary Biology
WOS IDWOS:000484026600015
Indexed BySCI
KeywordAir Co2 Enrichment Grassland Biomass Response Net Primary Productivity Elevated Co2 Soil Respiration Climate-change Plant-growth Nitrogen Ecosystems Temperature
WOS Research AreaEnvironmental Sciences & Ecology ; Evolutionary Biology
WOS SubjectEcology ; Evolutionary Biology
Cooperation Status国际
Citation statistics
Document Type期刊论文
Corresponding AuthorWan, S (Wan, Shiqiang)
Affiliation1.Hebei Univ, Coll Life Sci, Baoding, Peoples R China;
2.Henan Univ, Sch Life Sci, Int Joint Res Lab Global Change Ecol, Kaifeng, Peoples R China;
3.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing, Peoples R China;
4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol, Beijing, Peoples R China;
5.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China;
6.Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA;
7.Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA;
8.Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT USA;
9.Univ Vermont, Gund Inst Environm, Burlington, VT USA;
10.Univ Antwerp, Dept Biol, Ctr Excellence PLECO Plant & Vegetat Ecol, Antwerp, Belgium;
11.Lab Sci Climat & Environm, Gif Sur Yvette, France;
12.Univ Tasmania, Sch Nat Sci, Biol Sci, Hobart, Tas, Australia;
13.Auckland Univ Technol, Sch Sci, Inst Appl Ecol New Zealand, Auckland, New Zealand;
14.Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark;
15.Swedish Univ Agr Sci, Dept Forest Ecol & Management, Umea, Sweden;
16.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai Key Lab Urban Ecol Processes & Ecorestor, Zhejiang Tiantong Forest Ecosystem Natl Observat, Shanghai, Peoples R China;
17.East China Normal Univ, Res Ctr Global Change & Ecol Forecasting, Shanghai, Peoples R China;
18.No Arizona Univ, Dept Biol Sci, Ctr Ecosyst Study & Soc, Box 5640, Flagstaff, AZ 86011 USA;
19.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Ctr Forest Ecosyst Studies & Qianyanzhou Ecol Stn, Beijing, Peoples R China;
20.Villanova Univ, Dept Biol, Villanova, PA 19085 USA;
21.ETH, Inst Atmospher & Climate Sci, Zurich, Switzerland;
22.Univ Bern, Climate & Environm Phys, Bern, Switzerland;
23.Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA;
24.Purdue Univ, Dept Biol Sci, W Lafayette, IN 47907 USA;
25.Ecosyst Ctr, Marine Biol Lab, Woods Hole, MA USA;
26.Michigan State Univ, Dept Geog Environm & Spatial Sci, Ctr Global Change & Earth Observat, E Lansing, MI 48824 USA;
27.Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA USA;
28.Pacific Northwest Natl Lab, Environm Mol Sci Lab, Richland, WA 99352 USA;
29.Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA;
30.Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA;
31.USDA ARS, Northern Res Stn, Durham, NH USA;
32.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China;
33.Boston Univ, Dept Biol, 5 Cummington St, Boston, MA 02215 USA;
34.Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA USA;
35.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA;
36.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA;
37.Indiana Univ, Dept Biol, Bloomington, IN USA;
38.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China;
39.ETH, Inst Environm Engn, Zurich, Switzerland;
40.CSIRO, Oceans & Atmosphere, Clayton, Vic, Australia;
41.Binzhou Univ, Shandong Key Lab Ecoenvironm Sci Yellow River Del, Binzhou, Peoples R China.
Recommended Citation
GB/T 7714
Song, J ,Wan, S ,Piao, S ,et al. A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change[J]. NATURE ECOLOGY & EVOLUTION,2019,3(9):1309-1320.
APA Song, J .,Wan, S .,Piao, S .,Knapp, AK .,Classen, AT .,...&Zheng, MM .(2019).A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change.NATURE ECOLOGY & EVOLUTION,3(9),1309-1320.
MLA Song, J ,et al."A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change".NATURE ECOLOGY & EVOLUTION 3.9(2019):1309-1320.
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