Author

D. A. Bohan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 5 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:ecology & biodiversity· 3 Assay:metagenomics· 3 Organism:plant (other)· 3 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Assay:field survey / ecological data· 1

Frequent Co-Authors

C. Vacher· 3 shared C. Pauvert· 2 shared E. Chancerel· 2 shared J. Vallance· 2 shared M. Massot· 2 shared R. Schmucki· 2 shared A. Calonnec· 1 shared A.-S. Walker· 1 shared

Activity by Year

2020-2022 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersEcology

C. Vacher

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

NGS data reveals the phyllosphere microbiome of wheat plants infected by the fungal pathogen Zymoseptoria tritici

D. Barroso-Bergada, M. Massot, N. Vignolles, J. Favre d'Arcier, E. Chancerel, E. Guichoux, A.-S. Walker, C. Vacher, D. A. Bohan, V. Laval, F. Suffert

The paper provides metabarcoding datasets of the wheat phyllosphere microbiome, including samples from wheat plants infected by Zymoseptoria tritici and surrounding weeds.

bioRxiv · Feb 7, 2022 · PreprintMicrobiology

Combined effect of crop rotation and carabid beetles on weed dynamics in arable fields

R. Schmucki, D. A. Bohan, M. J. O. Pocock

This study models how crop rotation and carabid beetles influence weed dynamics in arable fields, showing their combined effect on weed density and seedbank accumulation.

bioRxiv · Dec 4, 2020 · PreprintEcology

Inferring species interactions from ecological survey data: a mechanistic approach to predict quantitative food webs of seed-feeding by carabid beetles

M. Pocock, R. Schmucki, D. A. Bohan

The paper develops a trait-based method to infer quantitative food webs of seed-feeding carabid beetles from ecological survey data, enabling prediction of interaction strengths and predation pressure.

bioRxiv · Nov 9, 2020Ecology

Standardizing carabid pitfall catches for trapping effort; a meta-analysis

P. Saska, D. Makowski, D. A. Bohan, W. van der Werf

This paper standardizes carabid beetle pitfall trap catches for trapping effort through a meta-analysis, showing that power transformations can standardize activity-density and diversity across studies.

bioRxiv · Jul 23, 2020Ecology

Microbial association networks give relevant insights into plant pathobiomes

C. Pauvert, T. Fort, A. Calonnec, J. Faivre d'Arcier, E. Chancerel, M. Massot, J. Chiquet, S. Robin, D. A. Bohan, J. Vallance, C. Vacher

The paper uses microbial association networks to explore plant pathobiomes, finding that some inferred associations correspond to ecological interactions confirmed by co-culture experiments.

bioRxiv · Feb 21, 2020 · PreprintEcology

Inferred microbial networks lack replicability: consequences for next-generation biomonitoring

C. Pauvert, J. Vallance, L. Deliere, D. A. Bohan, M. Buee, C. Vacher

This study evaluates microbial network reliability in agricultural systems, finding that community-level properties are more reliable than network-level properties for biomonitoring.

bioRxiv · Feb 13, 2020Ecology