Large sediment methane production potential in reservoirs compared to lakes and rivers
Abstract Inland waters emit a globally significant amount of methane (CH 4 ) into the atmosphere. Measurements of potential CH 4 production rates in the sediment can help constrain the magnitude of CH 4 sources and time‐averaged emission rates. We explored the magnitude, variability, and drivers of potential CH 4 production rates in the sediment, based on compiled measurements (238 sediment cores from 72 aquatic systems) following a standardized laboratory incubation procedure. The data reveal > 4‐fold higher potential CH 4 production rates in reservoir sediments than lakes and > 14‐fold higher than rivers after being standardized for temperature. Sediment organic carbon content and depth below the sediment–water interface are universal drivers for potential CH 4 production rates across freshwater ecosystems. The disproportional high CH 4 production rate in sediments from human‐made water bodies calls for more comprehensive monitoring of their CH 4 emissions to inform carbon footprint and inventory efforts. This first meta‐analysis of potential CH 4 production rates in sediments from different types of freshwater aquatic systems may help with process‐based modeling of CH 4 emissions from individual water bodies in larger‐scale assessments.
Authors
- Andreas Lorke (ORCID: https://orcid.org/0000-0001-5533-1817)
- Christoph Bors (ORCID: https://orcid.org/0000-0001-7869-8590)
- Pascal Bodmer (ORCID: https://orcid.org/0000-0001-7383-889X)
- Liu Liu (ORCID: https://orcid.org/0000-0002-8056-2550)
Institutions
- Yunnan Normal University (CN)
- University of Kaiserslautern (DE)
- Université du Québec à Montréal (CA)
- University of Koblenz and Landau (DE)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- Limnology and Oceanography
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1002/lno.70063
- Citations
- 4
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 4.42
Funders
- Deutsche Forschungsgemeinschaft
- National Natural Science Foundation of China
- Natural Science Foundation of Yunnan Province