Carbon and Greenhouse Gas Budgets of Europe: Trends, Interannual and Spatial Variability, and Their Drivers

  • Ronny Lauerwald*
  • , Ana Bastos
  • , Matthew J. McGrath
  • , Ana Maria Roxana Petrescu
  • , François Ritter
  • , Robbie M. Andrew
  • , Antoine Berchet
  • , Grégoire Broquet
  • , Dominik Brunner
  • , Frédéric Chevallier
  • , Alessandro Cescatti
  • , Sara Filipek
  • , Audrey Fortems-Cheiney
  • , Giovanni Forzieri
  • , Pierre Friedlingstein
  • , Richard Fuchs
  • , Christoph Gerbig
  • , Sander Houweling
  • , Piyu Ke
  • , Bas J.W. Lerink
  • Wanjing Li, Wei Li, Xiaojun Li, Ingrid Luijkx, Guillaume Monteil, Saqr Munassar, Gert Jan Nabuurs, Prabir K. Patra, Philippe Peylin, Julia Pongratz, Pierre Regnier, Marielle Saunois, Mart Jan Schelhaas, Marko Scholze, Stephen Sitch, Rona L. Thompson, Hanqin Tian, Aki Tsuruta, Chris Wilson, Jean Pierre Wigneron, Yitong Yao, Sönke Zaehle, Philippe Ciais
*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In the framework of the RECCAP2 initiative, we present the greenhouse gas (GHG) and carbon (C) budget of Europe. For the decade of the 2010s, we present a bottom-up (BU) estimate of GHG net-emissions of 3.9 Pg CO2-eq. yr−1 (using a global warming potential on a 100 years horizon), which are largely dominated by fossil fuel emissions. In this decade, terrestrial ecosystems acted as a net GHG sink of 0.9 Pg CO2-eq. yr−1, dominated by a CO2 sink that was partially counterbalanced by net emissions of CH4 and N2O. For CH4 and N2O, we find good agreement between BU and top-down (TD) estimates from atmospheric inversions. However, our BU land CO2 sink is significantly higher than the TD estimates. We further show that decadal averages of GHG net-emissions have declined by 1.2 Pg CO2-eq. yr−1 since the 1990s, mainly due to a reduction in fossil fuel emissions. In addition, based on both data driven BU and TD estimates, we also find that the land CO2 sink has weakened over the past two decades. A large part of the European CO2 and C sinks is located in Northern Europe. At the same time, we find a decreasing trend in sink strength in Scandinavia, which can be attributed to an increase in forest management intensity. These are partly offset by increasing CO2 sinks in parts of Eastern Europe and Northern Spain, attributed in part to land use change. Extensive regions of high CH4 and N2O emissions are mainly attributed to agricultural activities and are found in Belgium, the Netherlands and the southern UK. We further analyzed interannual variability in the GHG budgets. The drought year of 2003 shows the highest net-emissions of CO2 and of all GHGs combined.

Original languageEnglish
Article numbere2024GB008141
Pages (from-to)1-43
Number of pages43
JournalGlobal Biogeochemical Cycles
Volume38
Issue number8
Early online date6 Aug 2024
DOIs
Publication statusPublished - Aug 2024

Bibliographical note

Publisher Copyright:
© 2024. The Author(s).

Funding

R.L., P.C. and F.R acknowledge funding from French state aid managed by ANR under the “Investissements d'avenir” programme (ANR‐16‐CONV‐0003) and R.L. from EU's Horizon Europe Research and Innovation Programme under Grant 101060423. A.B. was funded by the European Union (ERC StG, ForExD, Grant 101039567). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. AMRP, MJM, RMA, MJS, GJN, PC were supported by the European Commission, Horizon 2020 Framework Programme (VERIFY, Grant 776810), AMRP, MJM, RMA by Grant 958927 (CoCO2), AMRP by Grant 101081322 (AVENGERS) and RMA, PC and PP by Grant 101081395 (EYE‐CLIMA). P.C. is partly supported by the European Space Agency Climate Change Initiative (ESA‐CCI) Biomass project (ESA ESRIN/4000123662) and RECCAP2 project 1190 (ESA ESRIN/4000123002/18/I‐NB). P.K.P. is partly supported by the Environmental Research and Technology Development Fund (JPMEERF21S20800) of the MOEJ and ERCA. G.F. was supported by the Horizon Europe Project ECO2ADAPT (Grant 101059498). MJS and GJN were partly funded by Ministry Agriculture, Nature Management and Food Quality in Netherlands and its Knowledge Bases programme. GJN acknowledges RESONATE project (H2020 Grant 101000574) and the Horizon Europe Project SUPERB (Grant 101036849) and FORWARDS (Grant 101084481). For the aggregated national forest inventory data behind the EFISCEN simulations MJS and GJN acknowledge the national forest inventories of 27 EU countries, CW was funded by the Natural Environment Research Council through its grants to the UK National Centre for Earth Observation (NCEO; NERC Grants NE/R016518/1 and NE/N018079/1). CTE2021 runs were supported by the HPC cluster Aether at the University of Bremen, financed by DFG within the scope of the Excellence Initiative. PR acknowledges funding from the FRS‐FRNS PDR project T.0191.23 CH4‐lakes. R.L., P.C. and F.R acknowledge funding from French state aid managed by ANR under the “Investissements d'avenir” programme (ANR-16-CONV-0003) and R.L. from EU's Horizon Europe Research and Innovation Programme under Grant 101060423. A.B. was funded by the European Union (ERC StG, ForExD, Grant 101039567). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. AMRP, MJM, RMA, MJS, GJN, PC were supported by the European Commission, Horizon 2020 Framework Programme (VERIFY, Grant 776810), AMRP, MJM, RMA by Grant 958927 (CoCO2), AMRP by Grant 101081322 (AVENGERS) and RMA, PC and PP by Grant 101081395 (EYE-CLIMA). P.C. is partly supported by the European Space Agency Climate Change Initiative (ESA-CCI) Biomass project (ESA ESRIN/4000123662) and RECCAP2 project 1190 (ESA ESRIN/4000123002/18/I-NB). P.K.P. is partly supported by the Environmental Research and Technology Development Fund (JPMEERF21S20800) of the MOEJ and ERCA. G.F. was supported by the Horizon Europe Project ECO2ADAPT (Grant 101059498). MJS and GJN were partly funded by Ministry Agriculture, Nature Management and Food Quality in Netherlands and its Knowledge Bases programme. GJN acknowledges RESONATE project (H2020 Grant 101000574) and the Horizon Europe Project SUPERB (Grant 101036849) and FORWARDS (Grant 101084481). For the aggregated national forest inventory data behind the EFISCEN simulations MJS and GJN acknowledge the national forest inventories of 27 EU countries, CW was funded by the Natural Environment Research Council through its grants to the UK National Centre for Earth Observation (NCEO; NERC Grants NE/R016518/1 and NE/N018079/1). CTE2021 runs were supported by the HPC cluster Aether at the University of Bremen, financed by DFG within the scope of the Excellence Initiative. PR acknowledges funding from the FRS-FRNS PDR project T.0191.23 CH4-lakes.

FundersFunder number
Ministry of the Environment, Government of Japan
Environmental Restoration and Conservation Agency
Deutsche Forschungsgemeinschaft
Ministry of Agriculture
European Commission, Horizon 2020 Framework Programme
UK Research and Innovation
European Commission101060423
European Research Council101039567
Horizon Europe Project SUPERB101036849
Natural Environment Research CouncilNE/N018079/1, CTE2021, NE/R016518/1
European Space Agency Climate Change Initiative1190 (ESA ESRIN/4000123002/18/I‐NB, ESA ESRIN/4000123662
Horizon 2020 Framework Programme101000574, 958927
FORWARDS101084481
Horizon Europe Project ECO2ADAPT101059498
VERIFY776810
Agence Nationale de la RechercheANR‐16‐CONV‐0003
AMRPEYE‐CLIMA, CoCO2, 101081322, 101081395
EU's Horizon Europe Research and Innovation Programme101060423
Environmental Research and Technology Development FundJPMEERF21S20800

    Keywords

    • carbon
    • carbon dioxide
    • Europe
    • greenhouse gas
    • methane
    • nitrous oxide

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