The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Resistance, resilience, and redundancy in microbial communities
Open accessAbstract
Although it is generally accepted that plant community composition is key for predicting rates of ecosystem processes in the face of global change, microbial community composition is often ignored in ecosystem modeling. To address this issue, we review recent experiments and assess whether microbial community composition is resistant, resilient, or functionally redundant in response to four different disturbances. We find that the composition of most microbial groups is sensitive and not immediately resilient to disturbance, regardless of taxonomic breadth of the group or the type of disturbance. Other studies demonstrate that changes in composition are often associated with changes in ecosystem process rates. Thus, changes in microbial communities due to disturbance may directly affect ecosystem processes. Based on these relationships, we propose a simple framework to incorporate microbial community composition into ecosystem process models. We conclude that this effort would benefit from more empirical data on the links among microbial phylogeny, physiological traits, and disturbance responses. These relationships will determine how readily microbial community composition can be used to predict the responses of ecosystem processes to global change.
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
Prokaryotes: The unseen majority
Whitman, W. B., Coleman, D. C., & Wiebe, W. J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.6578 · Cited by 4,871 · cited 1×
“Bacteria and Archaea alone contain most of the total nitrogen (N) and phosphorus (P) and up to half of the carbon (C) stored in living organisms (3), and the metabolic machinery of microorganisms drives a variety of ecosystem processes.”
BackgroundProkaryotic Diversity--Magnitude, Dynamics, and Controlling Factors
Torsvik, V., Øvreås, L., & Thingstad, T. F. (2002) · Science · doi:10.1126/science.1071698 · Cited by 1,196
The contribution of species richness and composition to bacterial services
Bell, T., Newman, J. A., Silverman, B. W., Turner, S. L., & Lilley, A. K. (2005) · Nature · doi:10.1038/nature03891 · Cited by 950
Plant diversity enhances ecosystem responses to elevated CO2 and nitrogen deposition
Reich, P. B., Knops, J., Tilman, D., Craine, J., Ellsworth, D., Tjoelker, M., Lee, T., Wedin, D., Naeem, S., Bahauddin, D., et al. (2001) · Nature · doi:10.1038/35071062 · Cited by 609
Producer–decomposer co-dependency influences biodiversity effects
Naeem, S., Hahn, D. R., & Schuurman, G. (2000) · Nature · doi:10.1038/35001568 · Cited by 261
Cited by
Stochastic Community Assembly: Does It Matter in Microbial Ecology?
Zhou, J., & Ning, D. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00002-17 · Cited by 2,773
Gessner, M. O., Swan, C. M., Dang, C. K., McKie, B. G., Bardgett, R. D., Wall, D. H., & Hättenschwiler, S. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2010.01.010 · Cited by 1,335
Bailey, M. T., Dowd, S. E., Galley, J. D., Hufnagle, A. R., Allen, R. G., & Lyte, M. (2011) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2010.10.023 · Cited by 1,123
Jiao, S., Yang, Y., Xu, Y., Zhang, J., & Lu, Y. (2020) · The ISME Journal · doi:10.1038/s41396-019-0522-9 · Cited by 1,052
Banerjee, S., Kirkby, C. A., Schmutter, D., Bissett, A., Kirkegaard, J. A., & Richardson, A. E. (2016) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2016.03.017 · Cited by 1,050
Metadata
- Authors
- Allison, S. D., & Martiny, J. B. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-08-12
- Volume
- 105
- Issue
- supplement_1
- Pages
- 11512-11519
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2095713067
- Cited by
- 3,151
- References
- 5
- FWCI
- 36.16
- Type
- journal article
- Language
- en
- Open access
- green
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: Resistance, resilience, and redundancy in microbial communities. https://app.cochat.ai/papers/10.1073/pnas.0801925105
- The paper
- Allison, S. D., & Martiny, J. B. H. (2008). Resistance, resilience, and redundancy in microbial communities. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0801925105
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.