Back to Search Start Over

Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations

Authors :
Nuno Carvalhais
Philippe Ciais
Nicolas Viovy
Thomas A. M. Pugh
Benjamin Poulter
Julia Pongratz
Martin Thurner
Maurizio Santoro
Benjamin D. Stocker
Rasoul Yousefpour
Julia E. M. S. Nabel
Andy Wiltshire
Yude Pan
Soenke Zaehle
Etsushi Kato
Stephen Sitch
Valerio Avitabile
Yi Y. Liu
Almut Arneth
Wei Li
Charles D. Koven
Yilong Wang
Sassan Saatchi
Anna B. Harper
Chao Yue
Shushi Peng
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
ICOS-ATC (ICOS-ATC)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV)
Institute on Ecosystems and Department of Ecology [Bozeman]
Montana State University (MSU)
Modélisation des Surfaces et Interfaces Continentales (MOSAIC)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Source :
Biogeosciences, Biogeosciences, European Geosciences Union, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences 14 (2017) 22, Biogeosciences, Vol 14, Pp 5053-5067 (2017), Biogeosciences, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences, 14(22), 5053-5067, Biogeosciences, 14 (22), 5053-5067
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

The use of dynamic global vegetation models (DGVMs) to estimate CO2 emissions from land-use and land-cover change (LULCC) offers a new window to account for spatial and temporal details of emissions and for ecosystem processes affected by LULCC. One drawback of LULCC emissions from DGVMs, however, is lack of observation constraint. Here, we propose a new method of using satellite- and inventory-based biomass observations to constrain historical cumulative LULCC emissions (ELUCc) from an ensemble of nine DGVMs based on emerging relationships between simulated vegetation biomass and ELUCc. This method is applicable on the global and regional scale. The original DGVM estimates of ELUCc range from 94 to 273 PgC during 1901–2012. After constraining by current biomass observations, we derive a best estimate of 155 ± 50 PgC (1σ Gaussian error). The constrained LULCC emissions are higher than prior DGVM values in tropical regions but significantly lower in North America. Our emergent constraint approach independently verifies the median model estimate by biomass observations, giving support to the use of this estimate in carbon budget assessments. The uncertainty in the constrained ELUCc is still relatively large because of the uncertainty in the biomass observations, and thus reduced uncertainty in addition to increased accuracy in biomass observations in the future will help improve the constraint. This constraint method can also be applied to evaluate the impact of land-based mitigation activities.

Details

Language :
English
ISSN :
17264170 and 17264189
Database :
OpenAIRE
Journal :
Biogeosciences, Biogeosciences, European Geosciences Union, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences 14 (2017) 22, Biogeosciences, Vol 14, Pp 5053-5067 (2017), Biogeosciences, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences, 14(22), 5053-5067, Biogeosciences, 14 (22), 5053-5067
Accession number :
edsair.doi.dedup.....1c5071cd04cdad56f9d9bbd5ffd04a93
Full Text :
https://doi.org/10.5194/bg-14-5053-2017⟩