Hysteretic temperature sensitivity of wetland CH4 fluxes explained by substrate availability and microbial activity
Affiliation
Univ Arizona, Dept Ecol & Evolutionary BiolIssue Date
2020-11-27
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COPERNICUS GESELLSCHAFT MBHCitation
Chang, K. Y., Riley, W. J., Crill, P. M., Grant, R. F., & Saleska, S. R. (2020). Hysteretic temperature sensitivity of wetland CH 4 fluxes explained by substrate availability and microbial activity. Biogeosciences, 17(22), 5849-5860.Journal
BIOGEOSCIENCESRights
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Methane (CH4) emissions from wetlands are likely increasing and important in global climate change assessments. However, contemporary terrestrial biogeochemical model predictions of CH4 emissions are very uncertain, at least in part due to prescribed temperature sensitivity of CH4 production and emission. While statistically consistent apparent CH4 emission temperature dependencies have been inferred from meta-analyses across microbial to ecosystem scales, year-round ecosystem-scale observations have contradicted that finding. Here, we show that apparent CH4 emission temperature dependencies inferred from year-round chamber measurements exhibit substantial intra-seasonal variability, suggesting that using static temperature relations to predict CH4 emissions is mechanistically flawed. Our model results indicate that such intra-seasonal variability is driven by substrate-mediated microbial and abiotic interactions: seasonal cycles in substrate availability favors CH4 production later in the season, leading to hysteretic temperature sensitivity of CH4 production and emission. Our findings demonstrate the uncertainty of inferring CH4 emission or production rates from temperature alone and highlight the need to represent microbial and abiotic interactions in wetland biogeochemical models.Note
Open access journalISSN
1726-4170EISSN
1726-4189Version
Final published versionae974a485f413a2113503eed53cd6c53
10.5194/bg-17-5849-2020
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Except where otherwise noted, this item's license is described as © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.