Abstract

Abstract. Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in the absolute magnitude and the seasonality of emission quantities and drivers. Eddy covariance (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux measurements, coincident carbon dioxide, water, and energy flux measurements, lack of ecosystem disturbance, and increased availability of datasets over the last decade. Here, we (1) describe the newly published dataset, FLUXNET-CH4 Version 1.0, the first open-source global dataset of CH4 EC measurements (available at https://fluxnet.org/data/fluxnet-ch4-community-product/, last access: 7 April 2021). FLUXNET-CH4 includes half-hourly and daily gap-filled and non-gap-filled aggregated CH4 fluxes and meteorological data from 79 sites globally: 42 freshwater wetlands, 6 brackish and saline wetlands, 7 formerly drained ecosystems, 7 rice paddy sites, 2 lakes, and 15 uplands. Then, we (2) evaluate FLUXNET-CH4 representativeness for freshwater wetland coverage globally because the majority of sites in FLUXNET-CH4 Version 1.0 are freshwater wetlands which are a substantial source of total atmospheric CH4 emissions; and (3) we provide the first global estimates of the seasonal variability and seasonality predictors of freshwater wetland CH4 fluxes. Our representativeness analysis suggests that the freshwater wetland sites in the dataset cover global wetland bioclimatic attributes (encompassing energy, moisture, and vegetation-related parameters) in arctic, boreal, and temperate regions but only sparsely cover humid tropical regions. Seasonality metrics of wetland CH4 emissions vary considerably across latitudinal bands. In freshwater wetlands (except those between 20∘ S to 20∘ N) the spring onset of elevated CH4 emissions starts 3 d earlier, and the CH4 emission season lasts 4 d longer, for each degree Celsius increase in mean annual air temperature. On average, the spring onset of increasing CH4 emissions lags behind soil warming by 1 month, with very few sites experiencing increased CH4 emissions prior to the onset of soil warming. In contrast, roughly half of these sites experience the spring onset of rising CH4 emissions prior to the spring increase in gross primary productivity (GPP). The timing of peak summer CH4 emissions does not correlate with the timing for either peak summer temperature or peak GPP. Our results provide seasonality parameters for CH4 modeling and highlight seasonality metrics that cannot be predicted by temperature or GPP (i.e., seasonality of CH4 peak). FLUXNET-CH4 is a powerful new resource for diagnosing and understanding the role of terrestrial ecosystems and climate drivers in the global CH4 cycle, and future additions of sites in tropical ecosystems and site years of data collection will provide added value to this database. All seasonality parameters are available at https://doi.org/10.5281/zenodo.4672601 (Delwiche et al., 2021). Additionally, raw FLUXNET-CH4 data used to extract seasonality parameters can be downloaded from https://fluxnet.org/data/fluxnet-ch4-community-product/ (last access: 7 April 2021), and a complete list of the 79 individual site data DOIs is provided in Table 2 of this paper.

Highlights

  • Methane (CH4) has a global warming potential that is 28 times larger than carbon dioxide (CO2) on a 100-174 year time scale (Myhre et al, 2013), and its atmospheric concentration has increased by >1000 ppb since 1800175 (Etheridge et al, 1998)

  • FLUXNET-CH4 is a community[248] led project, so while we developed it with assistance from FLUXNET, we do not necessarily use standard FLUXNET 249 data variables, formats, or methods

  • When considering the four bioclimatic variables, Mean Annual Temperature (MAT), Latent Heat (LE), Enhanced Vegetation Index (EVI) and SRWI in a PCA, we found that our 554 tower network generally samples the bioclimatic conditions of global wetland cover, but some noticeable gaps remain

Read more

Summary

Introduction

Methane (CH4) has a global warming potential that is 28 times larger than carbon dioxide (CO2) on a 100-174 year time scale (Myhre et al, 2013), and its atmospheric concentration has increased by >1000 ppb since 1800175 (Etheridge et al, 1998). Methane (CH4) has a global warming potential that is 28 times larger than carbon dioxide (CO2) on a 100-. 174 year time scale (Myhre et al, 2013), and its atmospheric concentration has increased by >1000 ppb since 1800. While atmospheric CH4 concentrations are substantially lower than those of CO2, CH4’s. Despite its importance to global climate change, natural CH4 sources. Bottom-up and top-down estimates differ by 154 TG/yr (745 vs 591 TG/yr, respectively), 180 with much of this difference arising from natural sources (Saunois et al, 2020). 181 bodies account for most natural CH4 emissions, as well as the majority of uncertainty in bottom-up emissions estimates. Better diagnosis and prediction of terrestrial CH4 sources to the atmosphere requires high 183 frequency and continuous measurements of CH4 exchanges across a continuum of ecological time (hours to years)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call