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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.16177
|2 doi
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|a pubmed24n1128.xml
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|a (DE-627)NLM338702792
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|a (NLM)35340089
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Roth, Florian
|e verfasserin
|4 aut
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| 245 |
1 |
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|a High spatiotemporal variability of methane concentrations challenges estimates of emissions across vegetated coastal ecosystems
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 16.06.2022
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|a Date Revised 15.10.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
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|a 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
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|a Journal Article
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|a blue carbon
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|a carbon cycle
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|a climate change
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|a coastal greenhouse gas emissions
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|a methane fluxes
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|a Carbon Dioxide
|2 NLM
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|a 142M471B3J
|2 NLM
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|a Carbon
|2 NLM
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|a 7440-44-0
|2 NLM
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| 650 |
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|a Methane
|2 NLM
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| 650 |
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|a OP0UW79H66
|2 NLM
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| 700 |
1 |
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|a Sun, Xiaole
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Geibel, Marc C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Prytherch, John
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Brüchert, Volker
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bonaglia, Stefano
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Broman, Elias
|e verfasserin
|4 aut
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| 700 |
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|a Nascimento, Francisco
|e verfasserin
|4 aut
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| 700 |
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|a Norkko, Alf
|e verfasserin
|4 aut
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| 700 |
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|a Humborg, Christoph
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 28(2022), 14 vom: 06. Juli, Seite 4308-4322
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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| 773 |
1 |
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|g volume:28
|g year:2022
|g number:14
|g day:06
|g month:07
|g pages:4308-4322
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| 856 |
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|u http://dx.doi.org/10.1111/gcb.16177
|3 Volltext
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