Informing climate models with rapid chamber measurements of forest carbon uptake

Daniel B. Metcalfe, Daniel Ricciuto, Sari Palmroth, Catherine Campbell, Vaughan Hurry, Jiafu Mao, Sonja G. Keel, Sune Linder, Xiaoying Shi, Torgny Näsholm, Klas E.A. Ohlsson, M. Blackburn, Peter E. Thornton, Ram Oren

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Models predicting ecosystem carbon dioxide (CO2) exchange under future climate change rely on relatively few real-world tests of their assumptions and outputs. Here, we demonstrate a rapid and cost-effective method to estimate CO2 exchange from intact vegetation patches under varying atmospheric CO2 concentrations. We find that net ecosystem CO2 uptake (NEE) in a boreal forest rose linearly by 4.7 ± 0.2% of the current ambient rate for every 10 ppm CO2 increase, with no detectable influence of foliar biomass, season, or nitrogen (N) fertilization. The lack of any clear short-term NEE response to fertilization in such an N-limited system is inconsistent with the instantaneous downregulation of photosynthesis formalized in many global models. Incorporating an alternative mechanism with considerable empirical support – diversion of excess carbon to storage compounds – into an existing earth system model brings the model output into closer agreement with our field measurements. A global simulation incorporating this modified model reduces a long-standing mismatch between the modeled and observed seasonal amplitude of atmospheric CO2. Wider application of this chamber approach would provide critical data needed to further improve modeled projections of biosphere–atmosphere CO2 exchange in a changing climate.

Original languageEnglish
Pages (from-to)2130-2139
Number of pages10
JournalGlobal Change Biology
Volume23
Issue number5
DOIs
StatePublished - May 1 2017

Funding

The work was supported by the Kempe Foundations, the Swedish Science Council (VR), the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas), and the Swedish University of Agricultural Sciences. The manuscript benefitted from the unwavering support and profound insights of P. Högberg and M. Högberg. We thank Henrik Holmgren for access to his land, and Jan Parsby, Thomas Hörnlund, and Stephan Schaffner for technical assistance. We are also grateful to colleagues from York (Phil Ineson, Jens-Arne Subke and Harry Vallack) for field help. This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, and conducted as part of the Accelerated Climate Modeling for Energy (ACME) project and the Oak Ridge National Laboratory Terrestrial Ecosystem Science Focus Area project. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

FundersFunder number
U.S. Department of Energy
Office of Science
Biological and Environmental Research
Oak Ridge National LaboratoryDE-AC05-00OR22725
Svenska Forskningsrådet Formas
Vetenskapsrådet
Sveriges Lantbruksuniversitet
Kempestiftelserna

    Keywords

    • Pinus sylvestris
    • boreal forest
    • earth system model
    • model-data integration
    • nutrient limitation
    • photosynthetic downregulation

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