Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Global Carbon Budget 2016

Corinne Le Quéré, Robbie M. Andrew, Josep G. Canadell, Stephen Sitch, Jan Ivar Korsbakken, Glen P. Peters, Andrew C. Manning, Thomas A. Boden, Pieter P. Tans, R. A. Houghton, Ralph F. Keeling, Simone R. Alin, Oliver Andrews, Peter Anthoni, Leticia Barbero, Laurent Bopp, Frédéric Chevallier, Louise Chini, Philippe Ciais, Kim Currie, Christine Delire, Scott C. Doney, Pierre Friedlingstein, Thanos Gkritzalis, Ian Harris, Judith Hauck, Vanessa Haverd, Mario Hoppema, Kees Klein Goldewijk, Atul K. Jain, Etsushi Kato, Arne Körtzinger, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Danica Lombardozzi, Joe R. Melton, Nicolas Metzl, Frank J. Millero, Pedro M. S. Monteiro, David R. Munro, Julia E. M. S. Nabel, Shin‐Ichiro Nakaoka, Kevin O’Brien, Are Olsen, Abdirahman M Omar, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Christian Rödenbeck, Joe Salisbury, Ute Schuster, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Benjamin D. Stocker, Adrienne J. Sutton, Taro Takahashi, Hanqin Tian, Bronte Tilbrook, Ingrid T. Luijkx, Guido R. van der Werf, Nicolas Viovy, Anthony P. Walker, A. Wiltshire, Sönke Zaehle

Earth system science data · 2016

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Summary

The Global Carbon Budget 2016 represents a major collaborative synthesis integrating observations, models, and methodologies to quantify anthropogenic CO2 emissions and their distribution among atmospheric, oceanic, and terrestrial systems. This annual assessment combines fossil fuel combustion data, land-use change emissions, and natural carbon sink estimates to provide comprehensive global carbon cycle accounting. Whilst the analysis is not agriculture-specific, it establishes the foundational quantitative framework for understanding how land-use and farming systems contribute to and interact with the global carbon cycle.

UK applicability

UK agricultural and land-use policies increasingly reference global carbon budgets to contextualise domestic emissions reductions targets. This dataset enables UK policymakers to benchmark agricultural greenhouse gas mitigation against planetary carbon boundaries and to model the carbon implications of land-use transitions.

Key measures

Global CO2 emissions (gigatonnes carbon per year), atmospheric CO2 growth rates, ocean carbon uptake, terrestrial carbon sink magnitude, emission source attribution

Outcomes reported

The study synthesised multiple datasets and models to quantify global anthropogenic CO2 emissions and their partitioning into atmospheric accumulation, oceanic uptake, and terrestrial carbon sinks. It provided comprehensive carbon budget accounting across all major emission sources and natural carbon reservoirs for 2016.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Other
DOI
10.5194/essd-8-605-2016
Catalogue ID
BFmobghohs-t72o5w

Topic tags

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