HePengLiuEtAl2020

Reference

He, Y., Peng, S., Liu, Y., Li, X., Wang, K., Ciais, P., Arain, M.A., Fang, Y., Fisher, J.B., Goll, D., Hayes, D., Huntzinger, D.N., Ito, A., Jain, A.K., Janssens, I.A., Mao, J., Matteo, C., Michalak, A.M., Peng, C., Peñuelas, J., Poulter, B., Qin, D., Ricciuto, D.M., Schaefer, K., Schwalm, C.R., Shi, X., Tian, H., Vicca, S., Wei, Y., Zeng, N., Zhu, Q. (2020) Global vegetation biomass production efficiency constrained by models and observations. Global Change Biology, 26(3):1474-1484. (Scopus )

Abstract

Plants use only a fraction of their photosynthetically derived carbon for biomass production (BP). The biomass production efficiency (BPE), defined as the ratio of BP to photosynthesis, and its variation across and within vegetation types is poorly understood, which hinders our capacity to accurately estimate carbon turnover times and carbon sinks. Here, we present a new global estimation of BPE obtained by combining field measurements from 113 sites with 14 carbon cycle models. Our best estimate of global BPE is 0.41 ± 0.05, excluding cropland. The largest BPE is found in boreal forests (0.48 ± 0.06) and the lowest in tropical forests (0.40 ± 0.04). Carbon cycle models overestimate BPE, although models with carbon–nitrogen interactions tend to be more realistic. Using observation-based estimates of global photosynthesis, we quantify the global BP of non-cropland ecosystems of 41 ± 6 Pg C/year. This flux is less than net primary production as it does not contain carbon allocated to symbionts, used for exudates or volatile carbon compound emissions to the atmosphere. Our study reveals a positive bias of 24 ± 11% in the model-estimated BP (10 of 14 models). When correcting models for this bias while leaving modeled carbon turnover times unchanged, we found that the global ecosystem carbon storage change during the last century is decreased by 67% (or 58 Pg C). © 2019 John Wiley & Sons Ltd

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@ARTICLE { HePengLiuEtAl2020,
    AUTHOR = { He, Y. and Peng, S. and Liu, Y. and Li, X. and Wang, K. and Ciais, P. and Arain, M.A. and Fang, Y. and Fisher, J.B. and Goll, D. and Hayes, D. and Huntzinger, D.N. and Ito, A. and Jain, A.K. and Janssens, I.A. and Mao, J. and Matteo, C. and Michalak, A.M. and Peng, C. and Peñuelas, J. and Poulter, B. and Qin, D. and Ricciuto, D.M. and Schaefer, K. and Schwalm, C.R. and Shi, X. and Tian, H. and Vicca, S. and Wei, Y. and Zeng, N. and Zhu, Q. },
    JOURNAL = { Global Change Biology },
    TITLE = { Global vegetation biomass production efficiency constrained by models and observations },
    YEAR = { 2020 },
    NOTE = { cited By 1 },
    NUMBER = { 3 },
    PAGES = { 1474-1484 },
    VOLUME = { 26 },
    ABSTRACT = { Plants use only a fraction of their photosynthetically derived carbon for biomass production (BP). The biomass production efficiency (BPE), defined as the ratio of BP to photosynthesis, and its variation across and within vegetation types is poorly understood, which hinders our capacity to accurately estimate carbon turnover times and carbon sinks. Here, we present a new global estimation of BPE obtained by combining field measurements from 113 sites with 14 carbon cycle models. Our best estimate of global BPE is 0.41 ± 0.05, excluding cropland. The largest BPE is found in boreal forests (0.48 ± 0.06) and the lowest in tropical forests (0.40 ± 0.04). Carbon cycle models overestimate BPE, although models with carbon–nitrogen interactions tend to be more realistic. Using observation-based estimates of global photosynthesis, we quantify the global BP of non-cropland ecosystems of 41 ± 6 Pg C/year. This flux is less than net primary production as it does not contain carbon allocated to symbionts, used for exudates or volatile carbon compound emissions to the atmosphere. Our study reveals a positive bias of 24 ± 11% in the model-estimated BP (10 of 14 models). When correcting models for this bias while leaving modeled carbon turnover times unchanged, we found that the global ecosystem carbon storage change during the last century is decreased by 67% (or 58 Pg C). © 2019 John Wiley & Sons Ltd },
    AFFILIATION = { Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China; Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing, China; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Paris, France; School of Geography and Earth Sciences and McMaster Centre for Climate Change, McMaster University, Hamilton, ON, Canada; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; School of Forest Resources, University of Maine, Orono, ME, United States; School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, United States; National Institute for Environmental Studies, Tsukuba, Japan; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan; Department of Atmospheric Sciences, University of Illinois, Urbana, IL, United States; Centre of Excellence PLECO (Plant and Vegetation Ecology), Department of Biology, University of Antwerp, Wilrijk, Belgium; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Institute of Environment Sciences, Biology Science Department, University of Quebec at Montreal, Montreal, QC, Canada; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest A & F University, Yangling, China; CSIC, Global Ecology Unit CREAF-CEAB-UAB, Barcelona, Spain; CREAF, Barcelona, Spain; Institute on Ecosystems and the Department of Ecology, Montana State University, Bozeman, MT, United States; State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-environment and Resources, Chinese Academy of Sciences, Lanzhou, China; National Climate Center, China Meteorological Administration, Beijing, China; National Snow and Ice Data Center, University of Colorado, Boulder, CO, United States; Woods Hole Research Center, Falmouth, MA, United States; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States; International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, United States; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States },
    AUTHOR_KEYWORDS = { biomass production; BPE; carbon sink; emergent constraint; terrestrial biosphere model },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1111/gcb.14816 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073993200&doi=10.1111%2fgcb.14816&partnerID=40&md5=b60fd09a8520311109acedeb9af93d60 },
}

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