Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.13602 |
Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland | |
Ryan, Edmund M.1; Ogle, Kiona2,3; Peltier, Drew3; Walker, Anthony P.4; de Kauwe, Martin G.5,6; Medlyn, Belinda E.7; Williams, David G.8; Parton, William9; Asao, Shinichi10; Guenet, Bertrand; Harper, Anna B.11; Lu, Xingjie12; Luus, Kristina A.13,18; Zaehle, Soenke13; Shu, Shijie14; Werner, Christian15; Xia, Jianyang16,17; Pendall, Elise7,8 | |
2017-08-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY
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ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2017 |
卷号 | 23期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | England; USA; Australia; France; Germany; Peoples R China; Ireland |
英文摘要 | Determining whether the terrestrial biosphere will be a source or sink of carbon (C) under a future climate of elevated CO2 (eCO(2)) and warming requires accurate quantification of gross primary production (GPP), the largest flux of C in the global C cycle. We evaluated 6 years (2007-2012) of flux-derived GPP data from the Prairie Heating and CO2 Enrichment (PHACE) experiment, situated in a grassland in Wyoming, USA. The GPP data were used to calibrate a light response model whose basic formulation has been successfully used in a variety of ecosystems. The model was extended by modeling maximum photosynthetic rate (A(max)) and light-use efficiency (Q) as functions of soil water, air temperature, vapor pressure deficit, vegetation greenness, and nitrogen at current and antecedent (past) timescales. The model fits the observed GPP well (R-2 = 0.79), which was confirmed by other model performance checks that compared different variants of the model (e.g. with and without antecedent effects). Stimulation of cumulative 6-year GPP by warming (29%, P = 0.02) and eCO(2) (26%, P = 0.07) was primarily driven by enhanced C uptake during spring (129%, P = 0.001) and fall (124%, P = 0.001), respectively, which was consistent across years. Antecedent air temperature (Tair(ant)) and vapor pressure deficit (VPDant) effects on A(max) (over the past 3-4 days and 1-3 days, respectively) were the most significant predictors of temporal variability in GPP among most treatments. The importance of VPDant suggests that atmospheric drought is important for predicting GPP under current and future climate; we highlight the need for experimental studies to identify the mechanisms underlying such antecedent effects. Finally, posterior estimates of cumulative GPP under control and eCO(2) treatments were tested as a benchmark against 12 terrestrial biosphere models (TBMs). The narrow uncertainties of these data-driven GPP estimates suggest that they could be useful semi-independent data streams for validating TBMs. |
英文关键词 | Bayesian modeling carbon cycle elevated CO2 grasslands gross primary production multifactor global change experiment warming |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000404863300013 |
WOS关键词 | TERRESTRIAL CARBON-CYCLE ; SOIL RESPIRATION ; CLIMATE-CHANGE ; ENRICHMENT FACE ; TEMPERATURE-ACCLIMATION ; PRECIPITATION PULSES ; BIOCHEMICAL-MODEL ; ATMOSPHERIC CO2 ; WATER RELATIONS ; C-4 GRASSES |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/17149 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Lancaster Environm Ctr, Lancaster LA1 4YW, England; 2.No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ USA; 3.No Arizona Univ, Dept Biol Sci, Flagstaff, AZ USA; 4.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA; 5.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA; 6.Macquarie Univ, Dept Biol Sci, Sydney, NSW 2109, Australia; 7.Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW, Australia; 8.Univ Wyoming, Dept Bot, Laramie, WY USA; 9.Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; 10.Univ Paris Saclay, CEA CNRS UVSQ, LSCE IPSL, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France; 11.Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England; 12.CSIRO, Ocean & Atmosphere, PBM 1, Aspendale, Vic 3195, Australia; 13.Max Planck Inst Biogeochem, Biogeochem Integrat Dept, Hans Knoll Str 10, D-07745 Jena, Germany; 14.Univ Illinois, Dept Atmospher Sci, 105 South Gregory St, Urbana, IL 61801 USA; 15.Senckenberg Biodivers & Climate Res Ctr BiK F, Senckenberganlage 25, D-60325 Frankfurt, Germany; 16.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA; 17.East China Normal Univ, Res Ctr Global Change & Ecol Forecasting, Shanghai 200062, Peoples R China; 18.Dublin Inst Technol, D02 TD3, Dublin, Ireland |
推荐引用方式 GB/T 7714 | Ryan, Edmund M.,Ogle, Kiona,Peltier, Drew,et al. Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland[J]. GLOBAL CHANGE BIOLOGY,2017,23(8). |
APA | Ryan, Edmund M..,Ogle, Kiona.,Peltier, Drew.,Walker, Anthony P..,de Kauwe, Martin G..,...&Pendall, Elise.(2017).Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland.GLOBAL CHANGE BIOLOGY,23(8). |
MLA | Ryan, Edmund M.,et al."Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland".GLOBAL CHANGE BIOLOGY 23.8(2017). |
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