The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Microbial carbon use efficiency: accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matter
Open accessAbstract
Microbial carbon use efficiency (CUE) is a critical regulator of soil organic matter dynamics and terrestrial carbon fluxes, with strong implications for soil biogeochemistry models. While ecologists increasingly appreciate the importance of CUE, its core concepts remain ambiguous: terminology is inconsistent and confusing, methods capture variable temporal and spatial scales, and the significance of many fundamental drivers remains inconclusive. Here we outline the processes underlying microbial efficiency and propose a conceptual framework that structures the definition of CUE according to increasingly broad temporal and spatial drivers where (1) CUE P reflects population-scale carbon use efficiency of microbes governed by species-specific metabolic and thermodynamic constraints, (2) CUE C defines community-scale microbial efficiency as gross biomass production per unit substrate taken up over short time scales, largely excluding recycling of microbial necromass and exudates, and (3) CUE E reflects the ecosystem-scale efficiency of net microbial biomass production (growth) per unit substrate taken up as iterative breakdown and recycling of microbial products occurs. CUEE integrates all internal and extracellular constraints on CUE and hence embodies an ecosystem perspective that fully captures all drivers of microbial biomass synthesis and decay. These three definitions are distinct yet complementary, capturing the capacity for carbon storage in microbial biomass across different ecological scales. By unifying the existing concepts and terminology underlying microbial efficiency, our framework enhances data interpretation and theoretical advances.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Persistence of soil organic matter as an ecosystem property
Schmidt, M. W. I., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D. A. C., et al. (2011) · Nature · doi:10.1038/nature10386 · Cited by 6,057
Analysis of Factors Controlling Soil Organic Matter Levels in Great Plains Grasslands
Parton, W. J., Schimel, D. S., Cole, C. V., & Ojima, D. S. (1987) · Soil Science Society of America Journal · doi:10.2136/sssaj1987.03615995005100050015x · Cited by 3,759
Cotrufo, M. F., Wallenstein, M. D., Boot, C. M., Denef, K., & Paul, E. (2013) · Global Change Biology · doi:10.1111/gcb.12113 · Cited by 3,552
The Trophic‐Dynamic Aspect of Ecology
Lindeman, R. L. (1942) · Ecology · doi:10.2307/1930126 · Cited by 3,437
Bacterial and fungal contributions to carbon sequestration in agroecosystems
Six, J., Frey, S. D., Thiet, R. K., & Batten, K. M. (2006) · Soil Science Society of America Journal · doi:10.2136/sssaj2004.0347 · Cited by 2,176
Self-citationEnvironmental and stoichiometric controls on microbial carbon‐use efficiency in soils
Manzoni, S., Taylor, P., Richter, A., Porporato, A., & Ågren, G. I. (2012) · New Phytologist · doi:10.1111/j.1469-8137.2012.04225.x · Cited by 1,708
Bacterial production in fresh and saltwater ecosystems: a cross-system overview
Cole, J., Findlay, S., & Pace, M. (1988) · Marine Ecology Progress Series · doi:10.3354/meps043001 · Cited by 1,478
The maintenance energy of bacteria in growing cultures
Pirt, S. J. (1965) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1965.0069 · Cited by 1,442
BACTERIAL GROWTH EFFICIENCY IN NATURAL AQUATIC SYSTEMS
del Giorgio, P. A., & Cole, J. J. (1998) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.29.1.503 · Cited by 1,355
Cooperation and Competition in the Evolution of ATP-Producing Pathways
Pfeiffer, T., Schuster, S., & Bonhoeffer, S. (2001) · Science · doi:10.1126/science.1058079 · Cited by 1,354
Cited by
Life and death in the soil microbiome: how ecological processes influence biogeochemistry
Sokol, N. W., Slessarev, E., Marschmann, G. L., Nicolas, A., Blazewicz, S. J., Brodie, E. L., Firestone, M. K., Foley, M. M., Hestrin, R., Hungate, B. A., et al. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00695-z · Cited by 1,179
Land use driven change in soil pH affects microbial carbon cycling processes
Malik, A. A., Puissant, J., Buckeridge, K. M., Goodall, T., Jehmlich, N., Chowdhury, S., Gweon, H. S., Peyton, J. M., Mason, K. E., van Agtmaal, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05980-1 · Cited by 958
A holistic framework integrating plant-microbe-mineral regulation of soil bioavailable nitrogen
Daly, A. B., Jilling, A., Bowles, T. M., Buchkowski, R. W., Frey, S. D., Kallenbach, C. M., Keiluweit, M., Mooshammer, M., Schimel, J. P., & Grandy, A. S. (2021) · Biogeochemistry · doi:10.1007/s10533-021-00793-9 · Cited by 197
Self-citationTrait‐based approach to bacterial growth efficiency
Muscarella, M. E., Howey, X. M., & Lennon, J. T. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.15120 · Cited by 30
Metadata
- Authors
- Geyer, K. M., Kyker-Snowman, E., Grandy, A. S., & Frey, S. D.
- Venue
- Biogeochemistry
- Published
- 2016-02
- Volume
- 127
- Issue
- 2-3
- Pages
- 173-188
- ISSN
- 0168-2563 (ISSN-L)
- 1573-515X
- OpenAlex
- W2265460792
- Cited by
- 409
- References
- 80
- FWCI
- 33.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microbial carbon use efficiency: accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matter. https://app.cochat.ai/papers/10.1007/s10533-016-0191-y
- The paper
- Geyer, K. M., Kyker-Snowman, E., Grandy, A. S., & Frey, S. D. (2016). Microbial carbon use efficiency: accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matter. Biogeochemistry. https://doi.org/10.1007/s10533-016-0191-y
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.