Annual cycle of methane emission from a boreal fen measured by the eddy covariance technique

Rinne, Janne; Riutta, Terhi; Pihlatie, Mari; Aurela, Mika; Haapanala, Sami; Tuovinen, Juha‐Pekka; Tuittila, Eeva‐Stiina; Vesala, Timo

doi:10.1111/j.1600-0889.2007.00261.x

Cited by 247 publications

(251 citation statements)

References 40 publications

Supporting

Mentioning

220

Contrasting

Order By: Relevance

“…8, bottom left). The regional inversions (Kim2011 and Winderlich2012) agreed on a July peak for CH 4 , although Winderlich2012 suggested a noticeably larger contribution from cold season months than the others (which is plausible, given reports of non-zero winter emissions; Rinne et al, 2007;Kim et al, 2007;Panikov and Dedysh, 2000). In contrast, both Bousquet inversions peaked in August.…”

Section: Average Seasonal Cyclesmentioning

confidence: 67%

“…Indeed, the paucity of long in situ records limited our ability to evaluate LPX-BERN's relatively low sensitivity to water table depth. Year-round observations would also be helpful, as winter emissions are sparsely sampled (Rinne et al, 2007;Kim et al, 2007;Panikov and Dedysh, 2000) and inversions disagree as to the magnitude of winter emissions (Fig. 8).…”

Section: Future Needs For Observations and Inversionsmentioning

confidence: 99%

See 1 more Smart Citation

WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia

et al. 2015

View full text Add to dashboard Cite

Abstract. Wetlands are the world's largest natural source of methane, a powerful greenhouse gas. The strong sensitivity of methane emissions to environmental factors such as soil temperature and moisture has led to concerns about potential positive feedbacks to climate change. This risk is particularly relevant at high latitudes, which have experienced pronounced warming and where thawing permafrost could potentially liberate large amounts of labile carbon over the next 100 years. However, global models disagree as to the magnitude and spatial distribution of emissions, due to uncertainties in wetland area and emissions per unit area and a scarcity of in situ observations. Recent intensive field campaigns across the West Siberian Lowland (WSL) make this an ideal region over which to assess the perPublished by Copernicus Publications on behalf of the European Geosciences Union. T. J. Bohn et al.: Intercomparison of wetland methane emissions modelsformance of large-scale process-based wetland models in a high-latitude environment. Here we present the results of a follow-up to the Wetland and Wetland CH 4 Intercomparison of Models Project (WETCHIMP), focused on the West Siberian Lowland (WETCHIMP-WSL). We assessed 21 models and 5 inversions over this domain in terms of total CH 4 emissions, simulated wetland areas, and CH 4 fluxes per unit wetland area and compared these results to an intensive in situ CH 4 flux data set, several wetland maps, and two satellite surface water products. We found that (a) despite the large scatter of individual estimates, 12-year mean estimates of annual total emissions over the WSL from forward models (5.34 ± 0.54 Tg CH 4 yr −1 ), inversions (6.06 ± 1.22 Tg CH 4 yr −1 ), and in situ observations (3.91 ± 1.29 Tg CH 4 yr −1 ) largely agreed; (b) forward models using surface water products alone to estimate wetland areas suffered from severe biases in CH 4 emissions; (c) the interannual time series of models that lacked either soil thermal physics appropriate to the high latitudes or realistic emissions from unsaturated peatlands tended to be dominated by a single environmental driver (inundation or air temperature), unlike those of inversions and more sophisticated forward models; (d) differences in biogeochemical schemes across models had relatively smaller influence over performance; and (e) multiyear or multidecade observational records are crucial for evaluating models' responses to long-term climate change.

show abstract

Section: Average Seasonal Cyclesmentioning

confidence: 67%

Section: Future Needs For Observations and Inversionsmentioning

confidence: 99%

WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The peat depth is a maximum 5.5 m (Mathijssen et al, 2016). More detailed site descriptions were presented in earlier work Rinne et al, 2007).…”

Section: Study Sitesmentioning

confidence: 99%

“…The Webb-Pearman-Leuning (WPL) correction (Webb et al, 1980) was applied when applicable (Laurila et al, 2005). More details of the measurement systems and data post-processing are given in previous studies (Aurela et al, 2009;Laurila et al, 2005;Lohila et al, 2016;Peltola et al, 2013;Rinne et al, 2007). For this study, the half-hourly averages were further averaged to daily fluxes to match the time resolution of the model.…”

Section: Field Measurementsmentioning

confidence: 99%

Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland

Raivonen

Alekseychik

et al. 2016

Science of The Total Environment

Self Cite

View full text Add to dashboard Cite

• CH 4 emission from Finnish wetlands was simulated by CH4MOD wetland .• We recalibrated the vegetation parameters of graminoids, shrubs and Sphagnum.• Simulated CH 4 variations agreed well with the eddy-covariance observations. • Annual CH 4 emissions were reasonably simulated in different years and sites.• Parameterization of different vegetation process was essential in long-term CH 4 estimates. Boreal/arctic wetlands are dominated by diverse plant species, which vary in their contribution to CH 4 production, oxidation and transport processes. Earlier studies have often lumped the processes all together, which may induce large uncertainties into the results. We present a novel model, which includes three vegetation classes and can be used to simulate CH 4 emissions from boreal and arctic treeless wetlands. The model is based on an earlier biogeophysical model, CH4MOD wetland . We grouped the vegetation as graminoids, shrubs and Sphagnum and recalibrated the vegetation parameters according to their different CH 4 production, oxidation and transport capacities. Then, we used eddy-covariance-based CH 4 flux observations from a boreal (Siikaneva) and a subarctic fen , which was consistent with the observations (7-22 g m −2 yr −1 G R A P H I C A L A B S T R A C T a b s t r a c t a r t i c l e i n f o). However, there are some discrepancies between the simulated and observed daily CH 4 fluxes for the Siikaneva site (RMSE = 50.0%) and the Lompolojänkkä site (RMSE = 47.9%). Model sensitivity analysis showed that increasing the proportion of the graminoids would significantly increase the CH 4 emission levels. Our study demonstrated that the parameterization of the different vegetation processes was important in estimating long-term wetland CH 4 emissions.

show abstract

“…A good example is methane, a gas whose sensors have been able to estimate fluxes for over a decade and a gas long recognized to be an important part of the carbon cycle in peatlands (Gorham, 1991) and particularly influential to the greenhouse gas forcing of the climate. One of the first studies was that of Rinne et al (2007) in a boreal wetland fen, who made the significant observation that about 20 % of the annual CO 2 assimilated by plants was emitted as CH 4 . Petrescu et al (2015) used data from a network of wetland flux towers to estimate CO 2 and CH 4 fluxes and concluded that net radiative forcings from the two gases were much higher in wetlands converted to human uses.…”

Section: Fluxnet and Trace Gasesmentioning

confidence: 99%

Ideas and perspectives: Strengthening the biogeosciences in environmental research networks

et al. 2018

View full text Add to dashboard Cite

Abstract. Long-term environmental research networks are one approach to advancing local, regional, and global environmental science and education. A remarkable number and wide variety of environmental research networks operate around the world today. These are diverse in funding, infrastructure, motivating questions, scientific strengths, and the sciences that birthed and maintain the networks. Some networks have individual sites that were selected because they had produced invaluable long-term data, while other networks have new sites selected to span ecological gradients. However, all long-term environmental networks share two challenges. Networks must keep pace with scientific advances and interact with both the scientific community and society at large. If networks fall short of successfully addressing these challenges, they risk becoming irrelevant. The objective of this paper is to assert that the biogeosciences offer environmental research networks a number of opportunities to expand scientific impact and public engagement. We explore some of these opportunities with four networks: the International Long-Term Ecological Research Network programs (ILTERs), critical zone observatories (CZOs), Earth and ecological observatory networks (EONs), and the FLUXNET program of eddy flux sites. While these networks were founded and expanded by interdisciplinary scientists, the preponderance of expertise and funding has gravitated activities of ILTERs and EONs toward ecology and biology, CZOs toward the Earth sciences and geology, and FLUXNET toward ecophysiology and micrometeorology. Our point is not to homogenize networks, nor to diminish disciplinary science. Rather, we argue that by more fully incorporating the integration of biology and geology in long-term environmental research networks, scientists can better leverage network assets, keep pace with the ever-changing science of the environment, and engage with larger scientific and public audiences.

show abstract

Annual cycle of methane emission from a boreal fen measured by the eddy covariance technique

Cited by 247 publications

References 40 publications

WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia

WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia

Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland

Ideas and perspectives: Strengthening the biogeosciences in environmental research networks

Contact Info

Product

Resources

About