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Title: Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales

Journal Article · · Global Change Biology
DOI:https://doi.org/10.1111/gcb.15661· OSTI ID:1844532
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  1. Univ. of British Columbia, Vancouver, BC (Canada)
  2. US Geological Survey, Jamestown, ND (United States). Northern Prairie Wildlife Research Center
  3. Stanford Univ., CA (United States)
  4. Rutgers Univ. Newark, New Brunswick, NJ (United States)
  5. National Ecological Observatory Network, Battelle, Boulder, CO (United States)
  6. Osaka Prefecture University, Sakai (Japan)
  7. Univ. of California, Berkeley, CA (United States)
  8. Univ. of Wisconsin, Madison, WI (United States)
  9. Univ. of Alaska, Fairbanks, AK (United States)
  10. US Geological Survey, Moffett Field, CA (United States). Western Geographic Science Center
  11. Univ. of Helsinki (Finland); Finnish Meteorological Inst. (FMI), Helsinki (Finland)
  12. Sarawak Tropical Peat Research Institute (Malaysia)
  13. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  14. Univ. of Arkansas, Fayetteville, AR (United States)
  15. Univ. of Delaware, Newark, DE (United States)
  16. Finnish Meteorological Inst. (FMI), Helsinki (Finland)
  17. Max Planck Institute for Biogeochemistry, Jena (Germany)
  18. Environment and Climate Change Canada, Victoria, BC (Canada)
  19. Univ. of Montreal, QC (Canada)
  20. Univ. of Helsinki (Finland); Yugra State University, Khanty-Mansiysk (Russia)
  21. US Geological Survey, Lafayette, LA (United States). Wetland and Aquatic Research Center
  22. Univ. of Maryland, College Park, MD (United States)
  23. Stanford Univ., CA (United States); University of Santiago (Chile)
  24. Natural Resources Institute Finland (LUKE), Helsinki (Finland)
  25. The Ohio State Univ., Columbus, OH (United States)
  26. Univ. of Waikato, Hamilton (New Zealand)
  27. Michigan State Univ., East Lansing, MI (United States)
  28. Universidade de Cuiaba (Brazil)
  29. GFZ German Research Centre for Geosciences, Potsdam (Germany)
  30. Hokkaido University, Sapporo (Japan)
  31. Shinshu Univ., Matsumoto, Nagano (Japan)
  32. Univ. of Rostock (Germany)
  33. National Center for Agro Meteorology, Seoul (South Korea)
  34. Univ. of Helsinki (Finland)
  35. Swedish Univ. of Agricultural Sciences (SLU), Umea (Sweden)
  36. National Agriculture and Food Research Organization, Tsukuba (Japan)
  37. Seoul National Univ. (Korea, Republic of)
  38. Kyoto Univ. (Japan)
  39. Cornell Univ., Ithaca, NY (United States)
  40. Univ. of Eastern Finland, Joesnuu (Finland)
  41. California State University, San Marcos CA (United States)
  42. US Geological Survey, Menlo Park, CA (United States)
  43. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
+ Show Author Affiliations

Abstract While wetlands are the largest natural source of methane (CH 4 ) to the atmosphere, they represent a large source of uncertainty in the global CH 4 budget due to the complex biogeochemical controls on CH 4 dynamics. Here we present, to our knowledge, the first multi‐site synthesis of how predictors of CH 4 fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet‐based multi‐resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by ~17 ± 11 days, and lagged air and soil temperature by median values of 8 ± 16 and 5 ± 15 days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat‐dominated sites, with drops in PA coinciding with synchronous releases of CH 4 . At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH 4 volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1‐ to 4‐h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH 4 emissions.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF); Arctic Challenge for Sustainability II (ArCS II); Japan Society for the Promotion of Science (JSPS); National Research Foundation of Korea (NRF); California Department of Fish and Wildlife; USDA; National Institute of Food and Agriculture (NIFA); Canada Research Chairs Program; Canada Foundation for Innovation (CFI); Natural Sciences and Engineering Research Council of Canada (NSERC); National Aeronautics and Space Administration (NASA); Ohio Department of Natural Resources; Academy of Finland; Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning; Kempe Foundation; German Federal Ministry of Food and Agriculture (BMEL); European Union’s Horizon 2020; USGS; Svenska Forskningsrådet Formas
Grant/Contract Number:
AC02-05CH11231; GBMF5439; N18B 315-11; 1652594; DGE-1747503; 1752083; DEB-1440297; 2011-67003-30371; SC0021067; 296116; 312912; 307331; 287039; 330840; 2016-01289; 696356; NRF-2018 R1C1B6002917; JPMXD1420318865; 20K21849; DE‐SC0021067; DEAC02‐05CH11231
OSTI ID:
1844532
Alternate ID(s):
OSTI ID: 1785295
Journal Information:
Global Change Biology, Vol. 27, Issue 15; ISSN 1354-1013
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English

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FLUXNET-CH4 BR-Npw Northern Pantanal Wetland
  • Vourlitis, George; Dalmagro, Higo; De S. Nogueira, Jose
  • FluxNet; California State University, San Marcos; Universidade de Cuiabá; Universidade Federal de Mato Grosso; University of British Columbia https://doi.org/10.18140/flx/1669368
dataset January 2020
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FLUXNET-CH4 ID-Pag Palangkaraya undrained forest
  • Sakabe, Ayaka; Itoh, Masayuki; Hirano, Takashi
  • FluxNet; Hokkaido University; Kyoto University; University of Hyogo; University of Palangkaraya https://doi.org/10.18140/flx/1669643
dataset January 2020
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FLUXNET-CH4 US-Twt Twitchell Island dataset January 2020
FLUXNET-CH4 US-Uaf University of Alaska, Fairbanks dataset January 2020

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
eddy covariance
generalized additive modeling
lags
methane
mutual information
predictors
random forest
synthesis
time scales
wetlands