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Global vegetation biomass production efficiency constrained by models and observations.
He, Yue; Peng, Shushi; Liu, Yongwen; Li, Xiangyi; Wang, Kai; Ciais, Philippe; Arain, M Altaf; Fang, Yuanyuan; Fisher, Joshua B; Goll, Daniel; Hayes, Daniel; Huntzinger, Deborah N; Ito, Akihiko; Jain, Atul K; Janssens, Ivan A; Mao, Jiafu; Matteo, Campioli; Michalak, Anna M; Peng, Changhui; Peñuelas, Josep; Poulter, Benjamin; Qin, Dahe; Ricciuto, Daniel M; Schaefer, Kevin; Schwalm, Christopher R; Shi, Xiaoying; Tian, Hanqin; Vicca, Sara; Wei, Yaxing; Zeng, Ning; Zhu, Qiuan.
Afiliación
  • He Y; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Peng S; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Liu Y; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Li X; Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
  • Wang K; CAS Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing, China.
  • Ciais P; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Arain MA; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
  • Fang Y; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Paris, France.
  • Fisher JB; School of Geography and Earth Sciences and McMaster Centre for Climate Change, McMaster University, Hamilton, ON, Canada.
  • Goll D; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA.
  • Hayes D; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
  • Huntzinger DN; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Paris, France.
  • Ito A; School of Forest Resources, University of Maine, Orono, ME, USA.
  • Jain AK; School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, USA.
  • Janssens IA; National Institute for Environmental Studies, Tsukuba, Japan.
  • Mao J; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan.
  • Matteo C; Department of Atmospheric Sciences, University of Illinois, Urbana, IL, USA.
  • Michalak AM; Centre of Excellence PLECO (Plant and Vegetation Ecology), Department of Biology, University of Antwerp, Wilrijk, Belgium.
  • Peng C; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
  • Peñuelas J; Centre of Excellence PLECO (Plant and Vegetation Ecology), Department of Biology, University of Antwerp, Wilrijk, Belgium.
  • Poulter B; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA.
  • Qin D; Institute of Environment Sciences, Biology Science Department, University of Quebec at Montreal, Montreal, QC, Canada.
  • Ricciuto DM; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest A & F University, Yangling, China.
  • Schaefer K; CSIC, Global Ecology Unit CREAF-CEAB-UAB, Barcelona, Spain.
  • Schwalm CR; CREAF, Barcelona, Spain.
  • Shi X; Institute on Ecosystems and the Department of Ecology, Montana State University, Bozeman, MT, USA.
  • Tian H; State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
  • Vicca S; National Climate Center, China Meteorological Administration, Beijing, China.
  • Wei Y; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
  • Zeng N; National Snow and Ice Data Center, University of Colorado, Boulder, CO, USA.
  • Zhu Q; Woods Hole Research Center, Falmouth, MA, USA.
Glob Chang Biol ; 26(3): 1474-1484, 2020 03.
Article en En | MEDLINE | ID: mdl-31560157
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).
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Árboles / Ecosistema Idioma: En Revista: Glob Chang Biol Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Árboles / Ecosistema Idioma: En Revista: Glob Chang Biol Año: 2020 Tipo del documento: Article País de afiliación: China