Author

C. Kurze

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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Animal Behavior & Cognition· 1 Ecology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:imaging· 2 Organism:multiple species· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

C. Breuss· 1 shared D. P. Hughes· 1 shared D. Z. Chen· 1 shared M. Gilgenreiner· 1 shared N. Imirzian· 1 shared R. G. Loreto· 1 shared T. J. Czaczkes· 1 shared Y. Zhang· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 11 mutual co-author links

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1 shared paperEcology

C. Breuss

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3 papers

Recent·Most cited

Age, not body size, influences flight distance in the bumble bee Bombus terrestris L. (Hymenoptera: Apidae)

M. Gilgenreiner, C. Kurze

This study shows that age, not body size, primarily influences flight distance in bumble bees, with flight distance increasing six-fold between 7-14 days before declining at 21 days.

bioRxiv · Feb 7, 2024 · PreprintPhysiology

High variability in the attractiveness of municipally-planted decorative plants to pollinators

T. J. Czaczkes, C. Breuss, C. Kurze

The paper assesses the attractiveness of municipally-planted decorative plants to pollinators in Regensburg, finding significant variation in insect visitation rates and highlighting opportunities for improving urban forage.

bioRxiv · Jan 25, 2024 · PreprintEcology

Computer vision and deep learning automates nocturnal rainforest ant tracking to provide insight into behavior and disease risk

N. Imirzian, Y. Zhang, C. Kurze, R. G. Loreto, D. Z. Chen, D. P. Hughes

The paper uses computer vision and deep learning to track ant behavior in a rainforest, revealing walking patterns linked to disease risk.

bioRxiv · Oct 26, 2018Animal Behavior & Cognition