dc.contributor.author | Chang, Y | |
dc.contributor.author | Sokol, NW | |
dc.contributor.author | Groenigen, KJ | |
dc.contributor.author | Bradford, MA | |
dc.contributor.author | Ji, D | |
dc.contributor.author | Crowther, TW | |
dc.contributor.author | Liang, C | |
dc.contributor.author | Luo, Y | |
dc.contributor.author | Kuzyakov, Y | |
dc.contributor.author | Wang, J | |
dc.contributor.author | Ding, F | |
dc.date.accessioned | 2024-01-05T09:59:04Z | |
dc.date.issued | 2023-11-09 | |
dc.date.updated | 2024-01-04T16:13:34Z | |
dc.description.abstract | Mineral-associated soil organic matter (MAOM) is the largest, slowest cycling pool of carbon (C) in the terrestrial biosphere. MAOM is primarily derived from plant and microbial sources, yet the relative contributions of these two sources to MAOM remain unresolved. Resolving this issue is essential for managing and modeling soil carbon responses to environmental change. Microbial biomarkers, particularly amino sugars, are the primary method used to estimate microbial versus plant contributions to MAOM, despite systematic biases associated with these estimates. There is a clear need for independent lines of evidence to help determine the relative importance of plant versus microbial contributions to MAOM. Here, we synthesized 288 datasets of C/N ratios for MAOM, particulate organic matter (POM), and microbial biomass across the soils of forests, grasslands, and croplands. Microbial biomass is the source of microbial residues that form MAOM, whereas the POM pool is the direct precursor of plant residues that form MAOM. We then used a stoichiometric approach—based on two-pool, isotope-mixing models—to estimate the proportional contribution of plant residue (POM) versus microbial sources to the MAOM pool. Depending on the assumptions underlying our approach, microbial inputs accounted for between 34% and 47% of the MAOM pool, whereas plant residues contributed 53%–66%. Our results therefore challenge the existing hypothesis that microbial contributions are the dominant constituents of MAOM. We conclude that biogeochemical theory and models should account for multiple pathways of MAOM formation, and that multiple independent lines of evidence are required to resolve where and when plant versus microbial contributions are dominant in MAOM formation. | en_GB |
dc.description.sponsorship | U.S. DOE OBER | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | National Key Research and Development Plan Project of China | en_GB |
dc.description.sponsorship | National Natural Science Foundation of China | en_GB |
dc.description.sponsorship | RUDN University Strategic Academic Leadership Program | en_GB |
dc.identifier.citation | Vol. 30(1), article e17092 | en_GB |
dc.identifier.doi | https://doi.org/10.1111/gcb.17092 | |
dc.identifier.grantnumber | DE-AC52-07NA27344 #SCW1632 | en_GB |
dc.identifier.grantnumber | NE/W001691/1 | en_GB |
dc.identifier.grantnumber | 2021YFD1500200 | en_GB |
dc.identifier.grantnumber | 32241037 | en_GB |
dc.identifier.grantnumber | 42071069 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/134900 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.relation.url | https://doi.org/10.5281/zenodo.10147884 | en_GB |
dc.rights.embargoreason | Under embargo until 9 December 2024 in compliance with publisher policy | en_GB |
dc.rights | © 2023 John Wiley & Sons Ltd. | en_GB |
dc.subject | meta-analysis | en_GB |
dc.subject | mineral-associated organic matter | en_GB |
dc.subject | particulate organic matter | en_GB |
dc.subject | plant carbon | en_GB |
dc.subject | soil carbon | en_GB |
dc.subject | soil organic matter dynamics | en_GB |
dc.title | A stoichiometric approach to estimate sources of mineral‐associated soil organic matter | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-01-05T09:59:04Z | |
dc.identifier.issn | 1354-1013 | |
dc.description | This is the author accepted manuscript. The final version is available from Wiley via the DOI in this record | en_GB |
dc.description | Data availability statement: The data that support the findings of this study are openly available in Supporting Information and Zenodo at https://doi.org/10.5281/zenodo.10147884 | en_GB |
dc.identifier.eissn | 1365-2486 | |
dc.identifier.journal | Global Change Biology | en_GB |
dc.relation.ispartof | Global Change Biology, 30(1) | |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2023-11-13 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2023-12-09 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-01-05T09:52:15Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2024-12-09T00:00:00Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2023-12-09 | |