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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
*此作品的通讯作者
  • 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

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
文章编号4765
期刊Scientific Reports
7
1
DOI
出版状态已出版 - 1 12月 2017
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 13 - 气候行动
    可持续发展目标 13 气候行动
  2. 可持续发展目标 15 - 陆地生物
    可持续发展目标 15 陆地生物

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