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Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions

  • D. N. Huntzinger*
  • , A. M. Michalak
  • , C. Schwalm
  • , P. Ciais
  • , A. W. King
  • , Y. Fang
  • , K. Schaefer
  • , Y. Wei
  • , R. B. Cook
  • , J. B. Fisher
  • , D. Hayes
  • , M. Huang
  • , A. Ito
  • , A. K. Jain
  • , H. Lei
  • , C. Lu
  • , F. Maignan
  • , J. Mao
  • , N. Parazoo
  • , S. Peng
  • B. Poulter, D. Ricciuto, X. Shi, H. Tian, W. Wang, N. Zeng, F. Zhao
*Corresponding author for this work
  • Northern Arizona University
  • Carnegie Institution of Washington
  • Woods Hole Research Center
  • CEA CNRS UVSQ
  • Oak Ridge National Laboratory
  • University of Colorado Boulder
  • Jet Propulsion Laboratory, California Institute of Technology
  • University of Maine
  • Pacific Northwest National Laboratory
  • National Institute for Environmental Studies of Japan
  • University of Illinois at Urbana-Champaign
  • Tsinghua University
  • Iowa State University
  • Montana State University
  • Auburn University
  • NASA Ames Research Center
  • University of Maryland, College Park

Research output: Contribution to journalArticlepeer-review

Abstract

Terrestrial ecosystems play a vital role in regulating the accumulation of carbon (C) in the atmosphere. Understanding the factors controlling land C uptake is critical for reducing uncertainties in projections of future climate. The relative importance of changing climate, rising atmospheric CO2, and other factors, however, remains unclear despite decades of research. Here, we use an ensemble of land models to show that models disagree on the primary driver of cumulative C uptake for 85% of vegetated land area. Disagreement is largest in model sensitivity to rising atmospheric CO2 which shows almost twice the variability in cumulative land uptake since 1901 (1 s.d. of 212.8 PgC vs. 138.5 PgC, respectively). We find that variability in CO2 and temperature sensitivity is attributable, in part, to their compensatory effects on C uptake, whereby comparable estimates of C uptake can arise by invoking different sensitivities to key environmental conditions. Conversely, divergent estimates of C uptake can occur despite being based on the same environmental sensitivities. Together, these findings imply an important limitation to the predictability of C cycling and climate under unprecedented environmental conditions. We suggest that the carbon modeling community prioritize a probabilistic multi-model approach to generate more robust C cycle projections.

Original languageEnglish
Article number4765
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - 1 Dec 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

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