The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Temporal variability in soil microbial communities across land-use types
Open accessAbstract
Although numerous studies have investigated changes in soil microbial communities across space, questions about the temporal variability in these communities and how this variability compares across soils have received far less attention. We collected soils on a monthly basis (May to November) from replicated plots representing three land-use types (conventional and reduced-input row crop agricultural plots and early successional grasslands) maintained at a research site in Michigan, USA. Using barcoded pyrosequencing of the 16S rRNA gene, we found that the agricultural and early successional land uses harbored unique soil bacterial communities that exhibited distinct temporal patterns. α-Diversity, the numbers of taxa or lineages, was significantly influenced by the sampling month with the temporal variability in α-diversity exceeding the variability between land-use types. In contrast, differences in community composition across land-use types were reasonably constant across the 7-month period, suggesting that the time of sampling is less important when assessing β-diversity patterns. Communities in the agricultural soils were most variable over time and the changes were significantly correlated with soil moisture and temperature. Temporal shifts in bacterial community composition within the successional grassland plots were less predictable and are likely a product of complex interactions between the soil environment and the more diverse plant community. Temporal variability needs to be carefully assessed when comparing microbial diversity across soil types and the temporal patterns in microbial community structure can not necessarily be generalized across land uses, even if those soils are exposed to the same climatic conditions.
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Self-citationSearch and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
The diversity and biogeography of soil bacterial communities
Fierer, N., & Jackson, R. B. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507535103 · Cited by 5,711
Self-citationConservation evaluation and phylogenetic diversity
Faith, D. P. (1992) · Biological Conservation · doi:10.1016/0006-3207(92)91201-3 · Cited by 5,693
FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix
Price, M. N., Dehal, P. S., & Arkin, A. P. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp077 · Cited by 5,602
TOWARD AN ECOLOGICAL CLASSIFICATION OF SOIL BACTERIA
Fierer, N., Bradford, M. A., & Jackson, R. B. (2007) · Ecology · doi:10.1890/05-1839 · Cited by 5,079
Self-citationSoil bacterial and fungal communities across a pH gradient in an arable soil
Rousk, J., Bååth, E., Brookes, P. C., Lauber, C. L., Lozupone, C., Caporaso, J. G., Knight, R., & Fierer, N. (2010) · The ISME Journal · doi:10.1038/ismej.2010.58 · Cited by 4,223
Self-citation
Cited by
How microbes can, and cannot, be used to assess soil health
Fierer, N., Wood, S. A., & Bueno de Mesquita, C. P. (2021) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2020.108111 · Cited by 543
Self-citationZhou, J., Guan, D., Zhou, B., Zhao, B., Ma, M., Qin, J., Jiang, X., Chen, S., Cao, F., Shen, D., et al. (2015) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2015.07.005 · Cited by 411
Soil-Borne Microbiome: Linking Diversity to Function
Mendes, L. W., Tsai, S. M., Navarrete, A. A., de Hollander, M., van Veen, J. A., & Kuramae, E. E. (2015) · Microbial Ecology · doi:10.1007/s00248-014-0559-2 · Cited by 320
Bacteria as Emerging Indicators of Soil Condition
Hermans, S. M., Buckley, H. L., Case, B. S., Curran-Cournane, F., Taylor, M., & Lear, G. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.02826-16 · Cited by 288
Dini-Andreote, F., de Cássia Pereira e Silva, M., Triadó-Margarit, X., Casamayor, E. O., van Elsas, J. D., & Salles, J. F. (2014) · The ISME Journal · doi:10.1038/ismej.2014.54 · Cited by 262
Metadata
- Authors
- Lauber, C. L., Ramirez, K. S., Aanderud, Z., Lennon, J., & Fierer, N.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-04-04
- Volume
- 7
- Issue
- 8
- Pages
- 1641-1650
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2038036959
- Cited by
- 542
- References
- 53
- FWCI
- 24.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Temporal variability in soil microbial communities across land-use types. https://app.cochat.ai/papers/10.1038/ismej.2013.50
- The paper
- Lauber, C. L., Ramirez, K. S., Aanderud, Z., Lennon, J., & Fierer, N. (2013). Temporal variability in soil microbial communities across land-use types. The ISME Journal. https://doi.org/10.1038/ismej.2013.50
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.
