IB-CAS  > 植被与环境变化国家重点实验室
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change
Song, Jian1; Wan, Shiqiang1; Piao, Shilong2,3,4; Knapp, Alan K.; Classen, Aimee T.; Vicca, Sara9; Ciais, Philippe2,10; Hovenden, Mark J.; Leuzinger, Sebastian12; Beier, Claus13; Kardol, Paul14; Xia, Jianyang15,16; Liu, Qiang2; Ru, Jingyi1; Zhou, Zhenxing1; Luo, Yiqi17; Guo, Dali18; Langley, J. Adam; Zscheischler, Jakob20,21; Dukes, Jeffrey S.; Tang, Jianwu24; Chen, Jiquan25; Hofmockel, Kirsten S.; Kueppers, Lara M.; Rustad, Lindsey30; Liu, Lingli31; Smith, Melinda D.; Templer, Pamela H.; Thomas, R. Quinn; Norby, Richard J.; Phillips, Richard P.; Niu, Shuli37; Fatichi, Simone38; Wang, Yingping39; Shao, Pengshuai40; Han, Hongyan40; Wang, Dandan1; Lei, Lingjie1; Wang, Jiali1; Li, Xiaona1; Zhang, Qian1; Li, Xiaoming1; Su, Fanglong1; Liu, Bin1; Yang, Fan1; Ma, Gaigai1; Li, Guoyong1; Liu, Yanchun1; Liu, Yinzhan1; Yang, Zhongling1; Zhang, Kesheng1; Miao, Yuan1; Hu, Mengjun1; Yan, Chuang1; Zhang, Ang1; Zhong, Mingxing1; Hui, Yan1; Li, Ying1; Zheng, Mengmei1
AbstractDirect 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
Indexed BySCI
WOS Research AreaEnvironmental Sciences & Ecology ; Evolutionary Biology
WOS IDWOS:000484026600015
Publication PlaceBERLIN
Funding OrganizationNational Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31430015, 31830012] ; US NSFNational Science Foundation (NSF) [DEB-0955771] ; ClimMani COST actionEuropean Cooperation in Science and Technology (COST) [ES1308]
Corresponding Author Emailswan@ibcas.ac.cn
OAGreen Submitted
Citation statistics
Cited Times:126[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
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.Knapp, Alan K.; Smith, Melinda D.] Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA
7.Knapp, Alan K.; Smith, Melinda D.] Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA
8.Classen, Aimee T.] Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT USA
9.Classen, Aimee T.] 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.Hovenden, Mark J.] 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.Dukes, Jeffrey S.] Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA
24.Dukes, Jeffrey S.] 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.Hofmockel, Kirsten S.] Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA USA
28.Hofmockel, Kirsten S.] Pacific Northwest Natl Lab, Environm Mol Sci Lab, Richland, WA 99352 USA
29.Kueppers, Lara M.] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA
30.Kueppers, Lara M.] 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.Templer, Pamela H.] Boston Univ, Dept Biol, 5 Cummington St, Boston, MA 02215 USA
34.Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA USA
35.Norby, Richard J.] Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA
36.Norby, Richard J.] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA
37.Phillips, Richard P.] 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, Jian,Wan, Shiqiang,Piao, Shilong,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, Jian.,Wan, Shiqiang.,Piao, Shilong.,Knapp, Alan K..,Classen, Aimee T..,...&Zheng, Mengmei.(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, Jian,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.
Files in This Item:
File Name/Size DocType Version Access License
Song-2019-A meta-ana(3155KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song, Jian]'s Articles
[Wan, Shiqiang]'s Articles
[Piao, Shilong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song, Jian]'s Articles
[Wan, Shiqiang]'s Articles
[Piao, Shilong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song, Jian]'s Articles
[Wan, Shiqiang]'s Articles
[Piao, Shilong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Song-2019-A meta-analysis of 1,119 manipulativ.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.