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

doi:10.1111/gcb.14816

Title: Global vegetation biomass production efficiency constrained by models and observations

Journal Article · Fri Sep 27 00:00:00 EDT 2019 · Global Change Biology

DOI:https://doi.org/10.1111/gcb.14816· OSTI ID:1566963

He, Yue ^[1];

^[1];

^[2]; Li, Xiangyi ^[1]; Wang, Kai ^[1]; Ciais, Philippe ^[3]; Arain, M. Altaf ^[4]; Fang, Yuanyuan ^[5]; Fisher, Joshua B. ^[6]; Goll, Daniel ^[3]; Hayes, Daniel ^[7]; Huntzinger, Deborah N. ^[8]; Ito, Akihiko ^[9];

^[10]; Janssens, Ivan A. ^[11]; Mao, Jiafu ^[12]; Matteo, Campioli ^[11]; Michalak, Anna M. ^[5]; Peng, Changhui ^[13]; Peñuelas, Josep ^[14] more »

Peking Univ., Beijing (China)
Peking Univ., Beijing (China); Chinese Academy of Sciences (CAS), Beijing (China)
Centre National de la Recherche Scientifique (CNRS), Paris (France). Laboratoire des Sciences du Climat et de l'Environnement
McMaster Univ., Hamilton, ON (Canada)
Carnegie Inst. of Science, Stanford, CA (United States)
California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.
Univ.of Maine, Orono, ME (United States)
Northern Arizona Univ., Flagstaff, AZ (United States)
National Inst. for Environmental Studies (NIMS), Tsukuba (Japan); Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan)
Univ. of Illinois, Urbana, IL (United States)
Univ. of Antwerp, Wilrijk (Belgium)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
Univ. of Montreal, Quebec (Canada); Northwest A & F Univ., Yangling (China)
Consejo Superior de Investigaciones Cientificas (CSIC), Barcelona (Spain). Centre de Recerca Ecològica i Aplicacions Forestals (CREAF)
Montana State Univ., Bozeman, MT (United States)
Chinese Academy of Sciences (CAS), Lanzhou (China); National Climate Center, Beijing (China)
Univ. of Colorado, Boulder, CO (United States)
Woods Hole Research Center, Falmouth, MA (United States); Northern Arizona Univ., Flagstaff, AZ (United States)
Univ. of Montreal, Quebec (Canada)
Auburn Univ., AL (United States)
Univ. of Maryland, College Park, MD (United States)

Typically, 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. In this work, we introduce 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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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; National Natural Science Foundation of China (NSFC); National Key Research and Development Program of China; European Research Council (ERC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1566963

Journal Information:: Global Change Biology, Vol. 26, Issue 3; ISSN 1354-1013

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 9 works

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