High spatiotemporal variability of methane concentrations challenges estimates of emissions across vegetated coastal ecosystems

© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 28(2022), 14 vom: 06. Juli, Seite 4308-4322
1. Verfasser: Roth, Florian (VerfasserIn)
Weitere Verfasser: Sun, Xiaole, Geibel, Marc C, Prytherch, John, Brüchert, Volker, Bonaglia, Stefano, Broman, Elias, Nascimento, Francisco, Norkko, Alf, Humborg, Christoph
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article blue carbon carbon cycle climate change coastal greenhouse gas emissions methane fluxes Carbon Dioxide 142M471B3J Carbon 7440-44-0 mehr... Methane OP0UW79H66
Beschreibung
Zusammenfassung:© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
Coastal methane (CH4 ) emissions dominate the global ocean CH4 budget and can offset the "blue carbon" storage capacity of vegetated coastal ecosystems. However, current estimates lack systematic, high-resolution, and long-term data from these intrinsically heterogeneous environments, making coastal budgets sensitive to statistical assumptions and uncertainties. Using continuous CH4 concentrations, δ13 C-CH4  values, and CH4  sea-air fluxes across four seasons in three globally pervasive coastal habitats, we show that the CH4 distribution is spatially patchy over meter-scales and highly variable in time. Areas with mixed vegetation, macroalgae, and their surrounding sediments exhibited a spatiotemporal variability of surface water CH4 concentrations ranging two orders of magnitude (i.e., 6-460 nM CH4 ) with habitat-specific seasonal and diurnal patterns. We observed (1) δ13 C-CH4  signatures that revealed habitat-specific CH4 production and consumption pathways, (2) daily peak concentration events that could change >100% within hours across all habitats, and (3) a high thermal sensitivity of the CH4 distribution signified by apparent activation energies of ~1 eV that drove seasonal changes. Bootstrapping simulations show that scaling the CH4 distribution from few samples involves large errors, and that ~50 concentration samples per day are needed to resolve the scale and drivers of the natural variability and improve the certainty of flux calculations by up to 70%. Finally, we identify northern temperate coastal habitats with mixed vegetation and macroalgae as understudied but seasonally relevant atmospheric CH4  sources (i.e., releasing ≥ 100 μmol CH4  m-2  day-1 in summer). Due to the large spatial and temporal heterogeneity of coastal environments, high-resolution measurements will improve the reliability of CH4 estimates and confine the habitat-specific contribution to regional and global CH4 budgets
Beschreibung:Date Completed 16.06.2022
Date Revised 15.10.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1365-2486
DOI:10.1111/gcb.16177