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

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.

[1]  Robert B. Cook,et al.  The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data , 2013 .

[2]  Pierre Friedlingstein,et al.  Terrestrial nitrogen feedbacks may accelerate future climate change , 2010 .

[3]  William R. Wieder,et al.  Future productivity and carbon storage limited by terrestrial nutrient availability , 2015 .

[4]  Masson-Delmotte,et al.  The Physical Science Basis , 2007 .

[5]  S. Zaehle,et al.  Terrestrial nitrogen–carbon cycle interactions at the global scale , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.

[6]  Andrew Gettelman,et al.  The Art and Science of Climate Model Tuning , 2017 .

[7]  Pierre Friedlingstein,et al.  Carbon and nitrogen cycle dynamics in the O‐CN land surface model: 2. Role of the nitrogen cycle in the historical terrestrial carbon balance , 2010 .

[8]  J. B. Miller,et al.  Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years , 2012, Nature.

[9]  K.,et al.  Carbon–Concentration and Carbon–Climate Feedbacks in CMIP5 Earth System Models , 2012 .

[10]  Corinne Le Quéré,et al.  Trends in the sources and sinks of carbon dioxide , 2009 .

[11]  Ranga B. Myneni,et al.  Recent trends and drivers of regional sources and sinks of carbon dioxide , 2015 .

[12]  A. Mokssit,et al.  Historical overview of climate change science , 2007 .

[13]  D. Klocke,et al.  Tuning the climate of a global model , 2012 .

[14]  Wolfgang Lucht,et al.  Tipping elements in the Earth's climate system , 2008, Proceedings of the National Academy of Sciences.

[15]  R. Nemani,et al.  Nitrogen deposition: how important is it for global terrestrial carbon uptake? , 2013 .

[16]  P. Cox,et al.  Emergent constraints on climate‐carbon cycle feedbacks in the CMIP5 Earth system models , 2014 .

[17]  Tim Palmer,et al.  Uncertainty in weather and climate prediction , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[18]  P. Cox,et al.  Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability , 2013, Nature.

[19]  C. Schwalm,et al.  NACP MsTMIP Summary of Model Structure and Characteristics , 2014 .

[20]  Gordon B. Bonan,et al.  Quantifying carbon‐nitrogen feedbacks in the Community Land Model (CLM4) , 2010 .

[21]  Sönke Zaehle,et al.  Carbon–nitrogen interactions on land at global scales: current understanding in modelling climate biosphere feedbacks , 2011 .

[22]  Wolfgang Lucht,et al.  Drivers and patterns of land biosphere carbon balance reversal , 2016 .

[23]  R. Schnur,et al.  Climate-carbon cycle feedback analysis: Results from the C , 2006 .

[24]  R. Houghton,et al.  Bias in the attribution of forest carbon sinks , 2013 .

[25]  Michael Obersteiner,et al.  Human-induced nitrogen–phosphorus imbalances alter natural and managed ecosystems across the globe , 2013, Nature Communications.

[26]  Atul K. Jain,et al.  Global Carbon Budget 2018 , 2014, Earth System Science Data.

[27]  W. Post,et al.  The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design , 2013 .

[28]  A. McGuire,et al.  Is the northern high‐latitude land‐based CO2 sink weakening? , 2011 .

[29]  M. Coe,et al.  Feedbacks between deforestation, climate, and hydrology in the Southwestern Amazon: implications for the provision of ecosystem services , 2014, Landscape Ecology.

[30]  Joshua B. Fisher,et al.  Global nutrient limitation in terrestrial vegetation , 2012 .

[31]  Nuno Carvalhais,et al.  Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems , 2016, Science.

[32]  Andrei P. Sokolov,et al.  Consequences of Considering Carbon–Nitrogen Interactions on the Feedbacks between Climate and the Terrestrial Carbon Cycle , 2008 .

[33]  Q. Zhuang,et al.  Equifinality in parameterization of process‐based biogeochemistry models: A significant uncertainty source to the estimation of regional carbon dynamics , 2008 .

[34]  Atul K. Jain,et al.  Global Carbon Budget 2017 (in open review for Earth System Science Data). doi: 10.5194/essd-2017-123 , 2017 .

[35]  D. Schimel,et al.  Effect of increasing CO2 on the terrestrial carbon cycle , 2014, Proceedings of the National Academy of Sciences.

[36]  Steven W. Running,et al.  Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization , 2016 .

[37]  R. Houghton The annual net flux of carbon to the atmosphere from changes in land use 1850–1990* , 1999 .

[38]  P. Steerenberg,et al.  Targeting pathophysiological rhythms: prednisone chronotherapy shows sustained efficacy in rheumatoid arthritis. , 2010, Annals of the rheumatic diseases.

[39]  Atul K. Jain,et al.  Toward “optimal” integration of terrestrial biosphere models , 2015 .

[40]  S. Sitch,et al.  Modeling the Terrestrial Biosphere , 2014 .

[41]  S. Gerber,et al.  Land use change and nitrogen feedbacks constrain the trajectory of the land carbon sink , 2013 .

[42]  T. A. Black,et al.  Reduction in carbon uptake during turn of the century drought in western North America , 2012 .