Climate-driven shifts in continental net primary production implicated as a driver of a recent abrupt increase in the land carbon sink

Abstract. The world's ocean and land ecosystems act as sinks for anthropogenic CO2, and over the last half century their combined sink strength grew steadily with increasing CO2 emissions. Recent analyses of the global carbon budget, however, have uncovered an abrupt, substantial ( ∼  1 PgC yr−1) and sustained increase in the land sink in the late 1980s whose origin remains unclear. In the absence of this prominent shift in the land sink, increases in atmospheric CO2 concentrations since the late 1980s would have been  ∼  30 % larger than observed (or  ∼  12 ppm above current levels). Global data analyses are limited in regards to attributing causes to changes in the land sink because different regions are likely responding to different drivers. Here, we address this challenge by using terrestrial biosphere models constrained by observations to determine if there is independent evidence for the abrupt strengthening of the land sink. We find that net primary production significantly increased in the late 1980s (more so than heterotrophic respiration), consistent with the inferred increase in the global land sink, and that large-scale climate anomalies are responsible for this shift. We identify two key regions in which climatic constraints on plant growth have eased: northern Eurasia experienced warming, and northern Africa received increased precipitation. Whether these changes in continental climates are connected is uncertain, but North Atlantic climate variability is important. Our findings suggest that improved understanding of climate variability in the North Atlantic may be essential for more credible projections of the land sink under climate change.

[1]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[2]  Martin Wild,et al.  The Global Energy Balance Archive (GEBA): A database for the worldwide measured surface energy fluxes , 2017 .

[3]  P. Stackhouse,et al.  The NASA/GEWEX Surface Radiation Budget Release 4 Integrated Product: An Assessment of Improvements in Algorithms and Inputs , 2016 .

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

[5]  S. Pacala,et al.  Tropical nighttime warming as a dominant driver of variability in the terrestrial carbon sink , 2015, Proceedings of the National Academy of Sciences.

[6]  Nuno Carvalhais,et al.  Codominant water control on global interannual variability and trends in land surface phenology and greenness , 2015, Global change biology.

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

[8]  S. Seneviratne,et al.  Global assessment of trends in wetting and drying over land , 2014 .

[9]  Maurizio Santoro,et al.  Global covariation of carbon turnover times with climate in terrestrial ecosystems , 2014, Nature.

[10]  Dara Entekhabi,et al.  Recent Arctic amplification and extreme mid-latitude weather , 2014 .

[11]  G. V. D. Werf,et al.  Recent trends in African fires driven by cropland expansion and El Nino to La Nina transition , 2014 .

[12]  Gian-Kasper Plattner,et al.  IPCC Climate Change 2013: The Physical Science Basis - Findings and Lessons Learned , 2014 .

[13]  P. Jones,et al.  Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .

[14]  Ranga B. Myneni,et al.  A two-fold increase of carbon cycle sensitivity to tropical temperature variations , 2014, Nature.

[15]  Alfons Balmann,et al.  Post‐Soviet cropland abandonment and carbon sequestration in European Russia, Ukraine, and Belarus , 2013 .

[16]  Yuxuan Wang,et al.  Accelerating carbon uptake in the Northern Hemisphere: evidence from the interhemispheric difference of atmospheric CO2 concentrations , 2013 .

[17]  Philippe Ciais,et al.  Evaluation of continental carbon cycle simulations with North American flux tower observations , 2013 .

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

[19]  M. Lomas,et al.  Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends , 2013, Global change biology.

[20]  T. McVicar,et al.  Impact of CO2 fertilization on maximum foliage cover across the globe's warm, arid environments , 2013 .

[21]  Sietse O. Los,et al.  Analysis of trends in fused AVHRR and MODIS NDVI data for 1982–2006: Indication for a CO2 fertilization effect in global vegetation , 2013 .

[22]  S. Xie,et al.  Tropical Atlantic Variability: Patterns, Mechanisms, and Impacts , 2013 .

[23]  Alessandro Anav,et al.  Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011 , 2013, Remote. Sens..

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

[25]  Rachel T. Pinker,et al.  Modeling shortwave radiative fluxes from satellites , 2012 .

[26]  Atul K. Jain,et al.  The global carbon budget 1959-2011 , 2012 .

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

[28]  Ke Zhang,et al.  Satellite detection of increasing Northern Hemisphere non-frozen seasons from 1979 to 2008: Implications for regional vegetation growth , 2012 .

[29]  Nicolas Bellouin,et al.  Aerosols implicated as a prime driver of twentieth-century North Atlantic climate variability , 2012, Nature.

[30]  Jie Chen,et al.  Change-point analysis as a tool to detect abrupt climate variations , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[31]  Jan Sieber,et al.  Climate predictions: the influence of nonlinearity and randomness , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[32]  David Medvigy,et al.  Identification and characterization of abrupt changes in the land uptake of carbon , 2012 .

[33]  P. Ciais,et al.  Changes in satellite‐derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006 , 2011 .

[34]  P. Ciais,et al.  Influence of spring and autumn phenological transitions on forest ecosystem productivity , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[35]  Maosheng Zhao,et al.  Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.

[36]  David M. Lawrence,et al.  The Seasonal Atmospheric Response to Projected Arctic Sea Ice Loss in the Late Twenty-First Century , 2010 .

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

[38]  Nicolas Gruber,et al.  Trends and regional distributions of land and ocean carbon sinks , 2009 .

[39]  David T. Bolvin,et al.  Improving the global precipitation record: GPCP Version 2.1 , 2009 .

[40]  Martin Wild,et al.  Global dimming and brightening: A review , 2009 .

[41]  W. Kurz,et al.  Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.

[42]  Markus Reichstein,et al.  CO2 balance of boreal, temperate, and tropical forests derived from a global database , 2007 .

[43]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[44]  A. Evan,et al.  Arguments against a physical long‐term trend in global ISCCP cloud amounts , 2007 .

[45]  F. Achard,et al.  Areas of rapid forest-cover change in boreal Eurasia , 2006 .

[46]  J. Randerson,et al.  Interannual variability in global biomass burning emissions from 1997 to 2004 , 2006 .

[47]  James W. Hurrell,et al.  Detection and Attribution of Twentieth-Century Northern and Southern African Rainfall Change , 2006 .

[48]  E. Wood,et al.  Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .

[49]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[50]  J. Randerson,et al.  Continental-Scale Partitioning of Fire Emissions During the 1997 to 2001 El Niño/La Niña Period , 2003, Science.

[51]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[52]  C. Potter,et al.  Interannual covariability in Northern Hemisphere air temperatures and greenness associated with El Niño‐Southern Oscillation and the Arctic Oscillation , 2003 .

[53]  I. C. Prentice,et al.  Climatic Control of the High-Latitude Vegetation Greening Trend and Pinatubo Effect , 2002, Science.

[54]  Alberto M. Mestas-Nuñez,et al.  The Atlantic Multidecadal Oscillation and its relation to rainfall and river flows in the continental U.S. , 2001 .

[55]  C. Tucker,et al.  Global Interannual Variations in Sea Surface Temperature and Land Surface Vegetation, Air Temperature, and Precipitation , 2001 .

[56]  J. Wallace,et al.  The Arctic oscillation signature in the wintertime geopotential height and temperature fields , 1998 .

[57]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[58]  J. Hurrell Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation , 1995, Science.

[59]  C. Willmott,et al.  CLIMATOLOGICALLY AIDED INTERPOLATION (CAI) OF TERRESTRIAL AIR TEMPERATURE , 1995 .

[60]  D. Legates,et al.  Mean seasonal and spatial variability in gauge‐corrected, global precipitation , 1990 .

[61]  H. Storch,et al.  Detection and Attribution , 2013 .

[62]  U. Schneider,et al.  GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle , 2013, Theoretical and Applied Climatology.

[63]  William D. Philpot,et al.  Small-Scale Climate Maps: A Sensitivity Analysis of Some Common Assumptions Associated with Grid-Point Interpolation and Contouring , 1985 .