Published June 23, 2011 | Version Published
Journal Article Open

Constraining global methane emissions and uptake by ecosystems

  • 1. ROR icon University of Bern
  • 2. ROR icon University of Bristol
  • 3. ROR icon University of Victoria
  • 4. ROR icon Royal Netherlands Meteorological Institute
  • 5. ROR icon Laboratoire des Sciences du Climat et de l'Environnement
  • 6. ROR icon Netherlands Institute for Space Research
  • 7. ROR icon Jet Propulsion Lab
  • 8. ROR icon Macquarie University
  • 9. ROR icon Imperial College London

Abstract

Natural methane (CH_4) emissions from wet ecosystems are an important part of today's global CH_4 budget. Climate affects the exchange of CH_4 between ecosystems and the atmosphere by influencing CH_4 production, oxidation, and transport in the soil. The net CH_4 exchange depends on ecosystem hydrology, soil and vegetation characteristics. Here, the LPJ-WHyMe global dynamical vegetation model is used to simulate global net CH_4 emissions for different ecosystems: northern peatlands (45°–90° N), naturally inundated wetlands (60° S–45° N), rice agriculture and wet mineral soils. Mineral soils are a potential CH_4 sink, but can also be a source with the direction of the net exchange depending on soil moisture content. The geographical and seasonal distributions are evaluated against multi-dimensional atmospheric inversions for 2003–2005, using two independent four-dimensional variational assimilation systems. The atmospheric inversions are constrained by the atmospheric CH_4 observations of the SCIAMACHY satellite instrument and global surface networks. Compared to LPJ-WHyMe the inversions result in a significant reduction in the emissions from northern peatlands and suggest that LPJ-WHyMe maximum annual emissions peak about one month late. The inversions do not put strong constraints on the division of sources between inundated wetlands and wet mineral soils in the tropics. Based on the inversion results we diagnose model parameters in LPJ-WHyMe and simulate the surface exchange of CH_4 over the period 1990–2008. Over the whole period we infer an increase of global ecosystem CH_4 emissions of +1.11 Tg CH_4 yr^(−1), not considering potential additional changes in wetland extent. The increase in simulated CH_4 emissions is attributed to enhanced soil respiration resulting from the observed rise in land temperature and in atmospheric carbon dioxide that were used as input. The long-term decline of the atmospheric CH_4 growth rate from 1990 to 2006 cannot be fully explained with the simulated ecosystem emissions. However, these emissions show an increasing trend of +3.62 Tg CH_4 yr^(−1) over 2005–2008 which can partly explain the renewed increase in atmospheric CH_4 concentration during recent years.

Additional Information

© 2011 Author(s). CC Attribution 3.0 License. Published by Copernicus Publications on behalf of the European Geosciences Union. Received: 28 October 2010; Published in Biogeosciences Discuss.: 11 January 2011; Revised: 20 May 2011; Accepted: 30 May 2011; Published: 23 June 2011. We would like to thank Catherine Prigent for providing the global inundation data set. This work was conducted within and supported by the EU-Project HYMN (Hydrogen, Methane, and Nitrous Oxide: Trend variability, budgets, and interactions with the biosphere; GOCE-037048). Additional financial support was provided by the Oeschger Centre for Climate Change Research and the Swiss National Science Foundation (Switzerland), the NERC funded programme QUEST – Quantifying and Understanding the Earth System (UK).

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Identifiers

Eprint ID
57365
Resolver ID
CaltechAUTHORS:20150508-084017821

Funding

EU-Project HYMN
GOCE-037048
Oeschger Centre for Climate Change Research
Swiss National Science Foundation (SNSF)
Natural Environment Research Council (NERC)

Dates

Created
2015-05-08
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Updated
2021-11-10
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