globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.12187
论文题名:
Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends
作者: Piao S.; Sitch S.; Ciais P.; Friedlingstein P.; Peylin P.; Wang X.; Ahlström A.; Anav A.; Canadell J.G.; Cong N.; Huntingford C.; Jung M.; Levis S.; Levy P.E.; Li J.; Lin X.; Lomas M.R.; Lu M.; Luo Y.; Ma Y.; Myneni R.B.; Poulter B.; Sun Z.; Wang T.; Viovy N.; Zaehle S.; Zeng N.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期:7
起始页码: 2117
结束页码: 2132
语种: 英语
英文关键词: Carbon cycle ; CO2 fertilization ; Model evaluation ; Precipitation sensitivity ; Temperature sensitivity
Scopus关键词: carbon dioxide ; annual variation ; atmospheric chemistry ; carbon budget ; carbon cycle ; carbon dioxide ; climate variation ; modeling ; net primary production ; precipitation (climatology) ; respiration ; temperature effect ; terrestrial ecosystem ; article ; carbon cycle ; climate change ; ecosystem ; growth, development and aging ; phylogeography ; Poaceae ; theoretical model ; Carbon Cycle ; Carbon Dioxide ; Climate Change ; Ecosystem ; Models, Theoretical ; Phylogeography ; Poaceae
英文摘要: The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were used for the IPCC fifth Assessment Report. The simulated gross primary productivity (GPP) is compared with flux-tower-based estimates by Jung et al. [Journal of Geophysical Research 116 (2011) G00J07] (JU11). The net primary productivity (NPP) apparent sensitivity to climate variability and atmospheric CO2 trends is diagnosed from each model output, using statistical functions. The temperature sensitivity is compared against ecosystem field warming experiments results. The CO2 sensitivity of NPP is compared to the results from four Free-Air CO2 Enrichment (FACE) experiments. The simulated global net biome productivity (NBP) is compared with the residual land sink (RLS) of the global carbon budget from Friedlingstein et al. [Nature Geoscience 3 (2010) 811] (FR10). We found that models produce a higher GPP (133 ± 15 Pg C yr-1) than JU11 (118 ± 6 Pg C yr-1). In response to rising atmospheric CO2 concentration, modeled NPP increases on average by 16% (5-20%) per 100 ppm, a slightly larger apparent sensitivity of NPP to CO2 than that measured at the FACE experiment locations (13% per 100 ppm). Global NBP differs markedly among individual models, although the mean value of 2.0 ± 0.8 Pg C yr-1 is remarkably close to the mean value of RLS (2.1 ± 1.2 Pg C yr-1). The interannual variability in modeled NBP is significantly correlated with that of RLS for the period 1980-2009. Both model-to-model and interannual variation in model GPP is larger than that in model NBP due to the strong coupling causing a positive correlation between ecosystem respiration and GPP in the model. The average linear regression slope of global NBP vs. temperature across the 10 models is -3.0 ± 1.5 Pg C yr-1 °C-1, within the uncertainty of what derived from RLS (-3.9 ± 1.1 Pg C yr-1 °C-1). However, 9 of 10 models overestimate the regression slope of NBP vs. precipitation, compared with the slope of the observed RLS vs. precipitation. With most models lacking processes that control GPP and NBP in addition to CO2 and climate, the agreement between modeled and observation-based GPP and NBP can be fortuitous. Carbon-nitrogen interactions (only separable in one model) significantly influence the simulated response of carbon cycle to temperature and atmospheric CO2 concentration, suggesting that nutrients limitations should be included in the next generation of terrestrial biosphere models. © 2013 Blackwell Publishing Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62409
Appears in Collections:影响、适应和脆弱性

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作者单位: Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China; Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100085, China; College of Engineering, Computing and Mathematics, University of Exeter, Exeter, EX4 4QF, United Kingdom; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, 91191, France; Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, Lund, SE, 223 62, Sweden; Global Carbon Project, Commonwealth Scientific and Industrial Research Organization, Marine and Atmospheric Research, Canberra, Australia; Centre for Ecology and Hydrology, Benson Lane, Wallingford, OX10 8BB, United Kingdom; Max Planck Institute for Biogeochemistry, P.O. Box 10 01 64, Jena, 07701, Germany; National Center for Atmospheric Research, Boulder, CO 80301, United States; Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, United Kingdom; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; College of Water Sciences, Beijing Normal University, Beijing, 100875, China; Department of Animal AND Plant Sciences, University of Sheffield, Sheffield, S10 2TN, United Kingdom; Institute of Biodiversity Science, Fudan University, 220 Handan Road, Shanghai, 200433, China; Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, United States; Department of Geography and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA, 02215, United States; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD,20740, United States

Recommended Citation:
Piao S.,Sitch S.,Ciais P.,et al. Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends[J]. Global Change Biology,2013-01-01,19(7)
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