The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Biogeographical patterns of soil molecular microbial biomass as influenced by soil characteristics and management: Biogeography of soil microbial biomass
Open accessAbstract
Aim The spatial organization of soil microbial communities on large scales and the identification of environmental factors structuring their distribution have been little investigated. The overall objective of this study was to determine the spatial patterning of microbial biomass in soils over a wide extent and to rank the environmental filters most influencing this distribution. Location French territory using the French Soil Quality Monitoring Network. This network covers the entire French territory and soils were sampled at 2150 sites along a systematic grid. Methods The soil DNA extracted from all these soils was expressed in terms of soil molecular microbial biomass and related to other soil and land-use data over French territory. Results This study provides the first extensive map of microbial biomass and reveals the heterogeneous and spatially structured distribution of this biomass on the scale of France. The main factors driving biomass distribution are the physico-chemical properties of the soil (texture, pH and total organic carbon) as well as land use. Soils from land used for intensive agriculture, especially monoculture and vineyards, exhibited the smallest biomass pools. Interestingly, factors known to influence the large-scale distribution of macroorganisms, such as climatic factors, were not identified as important drivers for microbial communities. Main conclusions Microbial abundance is spatially structured and dependent on local filters such as soil characteristics and land use but is relatively independent of global filters such as climatic factors or the presence of natural barriers. Our study confirms that the biogeography of microorganisms differs fundamentally from the biogeography of ‘macroorganisms’ and that soil management can have significant large-scale effects.
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
An Analysis of Transformations
Box, G. E. P., & Cox, D. R. (1964) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1964.tb00553.x · Cited by 15,052
The Theory of Island Biogeography
MacArthur, R. H., & Wilson, E. O. (2001) · Princeton University Press eBooks · doi:10.1515/9781400881376 · Cited by 12,632
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
Ecological Linkages Between Aboveground and Belowground Biota
Wardle, D. A., Bardgett, R. D., Klironomos, J. N., Setälä, H., van der Putten, W. H., & Wall, D. H. (2004) · Science · doi:10.1126/science.1094875 · Cited by 4,617
Microbial biogeography: putting microorganisms on the map
Martiny, J. B. H., Bohannan, B. J. M., Brown, J. H., Colwell, R. K., Fuhrman, J. A., Green, J. L., Horner-Devine, M. C., Kane, M., Krumins, J. A., Kuske, C. R., et al. (2006) · Nature Reviews Microbiology · doi:10.1038/nrmicro1341 · Cited by 3,022
DNA recovery from soils of diverse composition
Zhou, J., Bruns, M. A., & Tiedje, J. M. (1996) · Applied and Environmental Microbiology · doi:10.1128/aem.62.2.316-322.1996 · Cited by 2,880
Geostatistics for Environmental Scientists
(2001) · Technometrics · doi:10.1198/tech.2001.s65 · Cited by 2,458
Geostatistics for Environmental Scientists
Webster, R., & Oliver, M. A. (2007) · Wiley eBooks · doi:10.1002/9780470517277 · Cited by 2,345
Microbial diversity and function in soil: from genes to ecosystems
Torsvik, V., & Øvreås, L. (2002) · Current Opinion in Microbiology · doi:10.1016/s1369-5274(02)00324-7 · Cited by 1,922
An analysis of transformations (with discussion)
Box, G. E. P. (1964) · Journal of the Royal Statistical Society Series A (Statistics in Society) · Cited by 1,891
Cited by
Creamer, R. E., Hannula, S. E., Leeuwen, J. P. V., Stone, D., Rutgers, M., Schmelz, R. M., Ruiter, P. C. D., Hendriksen, N. B., Bolger, T., Bouffaud, M. L., et al. (2016) · Applied Soil Ecology · doi:10.1016/j.apsoil.2015.08.006 · Cited by 275
Self-citationTurnover of soil bacterial diversity driven by wide-scale environmental heterogeneity
Ranjard, L., Dequiedt, S., Chemidlin Prévost-Bouré, N., Thioulouse, J., Saby, N. P. A., Lelievre, M., Maron, P. A., Morin, F. E. R., Bispo, A., Jolivet, C., et al. (2013) · Nature Communications · doi:10.1038/ncomms2431 · Cited by 265
Self-citationMolecular microbiology methods for environmental diagnosis
Bouchez, T., Blieux, A. L., Dequiedt, S., Domaizon, I., Dufresne, A., Ferreira, S., Godon, J. J., Hellal, J., Joulian, C., Quaiser, A., et al. (2016) · Environmental Chemistry Letters · doi:10.1007/s10311-016-0581-3 · Cited by 121
Self-citationPérez‐Guzmán, L., Phillips, L. A., Seuradge, B. J., Agomoh, I., Drury, C. F., & Acosta‐Martínez, V. (2021) · Agrosystems, Geosciences & Environment · doi:10.1002/agg2.20164 · Cited by 22
Metadata
- Authors
- Dequiedt, S., Saby, N. P. A., Lelievre, M., Jolivet, C., Thioulouse, J., Toutain, B., Arrouays, D., Bispo, A., Lemanceau, P., & Ranjard, L.
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2011-01-17
- Volume
- 20
- Issue
- 4
- Pages
- 641-652
- ISSN
- 1466-822X (ISSN-L)
- OpenAlex
- W2101731699
- Cited by
- 264
- References
- 50
- FWCI
- 22.79
- 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: Biogeographical patterns of soil molecular microbial biomass as influenced by soil characteristics and management: Biogeography of soil microbial biomass. https://app.cochat.ai/papers/10.1111/j.1466-8238.2010.00628.x
- The paper
- Dequiedt, S., Saby, N. P. A., Lelievre, M., Jolivet, C., Thioulouse, J., Toutain, B., Arrouays, D., Bispo, A., Lemanceau, P., & Ranjard, L. (2011). Biogeographical patterns of soil molecular microbial biomass as influenced by soil characteristics and management: Biogeography of soil microbial biomass. Global Ecology and Biogeography. https://doi.org/10.1111/j.1466-8238.2010.00628.x
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.
