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Title: Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century

Journal Article · · Scientific Reports
 [1];  [2];  [3];  [4];  [5];  [3]; ORCiD logo [6]
  1. Woods Hole Research Center, Falmouth, MA (United States); Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society
  2. Northern Arizona Univ., Flagstaff, AZ (United States). School of Earth & Sustainability
  3. Carnegie Inst. for Science, Stanford, CA (United States). Dept. of Global Ecology
  4. National Snow and Ice Data Center, Boulder, CO (United States)
  5. California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division

Terrestrial vegetation removes CO2 from the atmosphere; an important climate regulation service that slows global warming. This 119 Pg C per annum transfer of CO2 into plants—gross primary productivity (GPP)—is the largest land carbon flux globally. While understanding past and anticipated future GPP changes is necessary to support carbon management, the factors driving long-term changes in GPP are largely unknown. In this study, we show that 1901 to 2010 changes in GPP have been dominated by anthropogenic activity. Our dual constraint attribution approach provides three insights into the spatiotemporal patterns of GPP change. First, anthropogenic controls on GPP change have increased from 57% (1901 decade) to 94% (2001 decade) of the vegetated land surface. Second, CO2 fertilization and nitrogen deposition are the most important drivers of change, 19.8 and 11.1 Pg C per annum (2001 decade) respectively, especially in the tropics and industrialized areas since the 1970’s. Third, changes in climate have functioned as fertilization to enhance GPP (1.4 Pg C per annum in the 2001 decade). These findings suggest that, from a land carbon balance perspective, the Anthropocene began over 100 years ago and that global change drivers have allowed GPP uptake to keep pace with anthropogenic emissions.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; National Aeronautics and Space Administration (NASA)
Grant/Contract Number:
AC05-00OR22725; N4-TE14-0047-NNH14ZDA001N-TE; 13-CARBON13_2-0036-NNH13ZDA001N-CARBON; 14-CMAC14-NNX16AB19G; NNX10AG01A; NNH10AN681
OSTI ID:
1651280
Journal Information:
Scientific Reports, Vol. 10, Issue 1; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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Cited By (17)

Uncertainty analysis of terrestrial net primary productivity and net biome productivity in China during 1901-2005 journal May 2016
Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects journal February 2019
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region journal June 2019
The terrestrial biosphere as a net source of greenhouse gases to the atmosphere journal March 2016
Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions journal July 2017
Carbon and Water Use Efficiencies: A Comparative Analysis of Ten Terrestrial Ecosystem Models under Changing Climate journal October 2019
Contributions of climate change, land use change and CO 2 to changes in the gross primary productivity of the Tibetan Plateau journal November 2019
Emergence of new hydrologic regimes of surface water resources in the conterminous United States under future warming journal October 2016
Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies journal July 2017
Evaluation of simulated soil carbon dynamics in Arctic-Boreal ecosystems journal February 2020
Divergence in land surface modeling: linking spread to structure journal October 2019
Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model journal April 2019
Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems journal February 2018
Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations journal January 2017
A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions journal January 2018
Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties journal January 2018
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities journal January 2016

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