Author

C. Flojgaard

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· 8

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Research Focus:ecology & biodiversity· 7 Approach:statistical model· 6 Assay:metagenomics· 4 Organism:plant (other)· 4 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

R. Ejrnaes· 7 shared A. K. Brunbjerg· 6 shared L. Dalby· 5 shared H. H. Bruun· 4 shared A. J. Hansen· 3 shared J. E. Moeslund· 3 shared J. Heilmann-Clausen· 3 shared T. G. Froslev· 3 shared

Activity by Year

2018-2022 · peak 3/yr

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10 top collaborators · 33 mutual co-author links

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7 shared papersEcology

R. Ejrnaes

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8 papers

Recent·Most cited

Simple attributes predict the importance of plants as hosts to the richness of fungi and arthropods

H. H. Bruun, A. K. Brunbjerg, L. Dalby, C. Flojgaard, T. G. Froeslev, S. Haarder, J. Heilmann-Clausen, T. T. Hoye, T. Laessoe, R. Ejrnaes

The paper investigates how plant attributes predict the richness of associated fungi and arthropods using link scores derived from plant-consumer interaction databases.

Oikos · Feb 14, 2022Peer-reviewedEcology

Detecting flying insects using mega-nets and meta-barcoding

C. S. Svenningsen, T. G. Froslev, J. Bladt, L. B. Pedersen, J. C. Larsen, R. S. Ejrnaes, C. Flojgaard, A. J. Hansen, J. Heilmann-Clausen, R. R. Dunn, A. P. Tottrup

This study uses car nets and DNA metabarcoding to sample and analyze flying insect diversity across Denmark, detecting 15 out of 19 insect orders and 319 new species.

bioRxiv · Nov 19, 2020 · PreprintEcology

Contrasting impacts of urban and farmland cover on flying insect biomass

C. S. Svenningsen, D. E. Bowler, S. Hecker, J. Bladt, V. Grescho, N. M. van Dam, J. Dauber, D. Eichenberg, R. Ejrnaes, C. Flojgaard, M. Frenzel, T. G. Froslev, A. J. Hansen, J. Heilmann-Clausen, Y. Huang, , A. Bonn

This study finds urban land cover negatively affects flying insect biomass, while farmland has a positive effect, with varying impacts across spatial scales in Denmark and Germany.

bioRxiv · Sep 16, 2020 · PreprintEcology

Relationships between macro-fungal dark diversity and habitat parameters using LiDAR

J. Valdez, A. K. Brunbjerg, C. Flojgaard, L. Dalby, K. K. Clausen, M. Pärtel, N. Pfeifer, M. Hollaus, M. H. Wimmer, R. Ejrnaes, J. E. Moeslund

This study investigates factors influencing macro-fungal dark diversity in temperate habitats using LiDAR and field data, finding that vegetation structure and plant richness are key drivers.

bioRxiv · Jul 2, 2020Ecology

Multi-taxon inventory reveals highly consistent biodiversity responses to ecospace variation

A. K. Brunbjerg, H. H. Bruun, L. Dalby, A. T. Classen, C. Flojgaard, T. G. Froeslev, O. L. P. Hansen, T. T. Hoye, J. E. Moeslund, J.-C. Svenning, R. Ejrnaes

The paper uses an ecospace framework to analyze multi-taxon biodiversity across 130 sites in Denmark, finding consistent responses to environmental variation and highlighting the role of organic matter for fungi and insects.

bioRxiv · Oct 17, 2019Ecology

Dark diversity reveals importance of biotic resources and competition for plant diversity across broad environmental gradients

C. Flojgaard, J. Valdez, L. Dalby, J. E. Moeslund, K. K. Clausen, R. Ejrnaes, M. Partel, A. K. Brunbjerg

This study examines how environmental gradients and biotic interactions influence plant diversity and dark diversity across different habitats.

bioRxiv · Jun 27, 2019 · PreprintEcology

Predicting provenance of forensic soil samples: soil DNA predicts habitat and environmental properties

C. Flojgaard, T. G. Froslev, A. K. Brunbjerg, H. H. Bruun, J. Moeslund, A. J. Hansen, R. Ejrnaes

The paper uses soil eDNA to predict environmental conditions, habitat types, and geographic regions, showing high accuracy for some variables but limitations in others.

bioRxiv · Aug 13, 2018Ecology

Vascular plants are strong predictors of multi-taxon species richness

A. K. Brunbjerg, H. H. Bruun, L. Dalby, C. Flojgaard, T. Froslev, T. T. Hoye, I. Goldberg, T. Laessoe, M. D. D. Hansen, L. Brondum, L. Skipper, K. Fog, R. Ejrnaes

The paper tests if vascular plants predict multi-taxon species richness and finds they explain 48% of total species richness variation when combined with bioindicators.

bioRxiv · Jan 25, 2018Ecology