Author

T. L. Bauerle

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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Plant Biology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. E. Huber· 1 shared A. Lanba· 1 shared A. M. Thompson· 1 shared A. Nguyen· 1 shared B. D. Hafner· 1 shared B. N. Taylor· 1 shared C. M. Wai· 1 shared C. Romay· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperPlant Biology

A. E. Huber

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Author profile →

3 papers

Recent·Most cited

The global root exudate carbon flux

N. R. Chari, S. J. Tumber-Davila, R. P. Phillips, T. L. Bauerle, M. Brunn, B. D. Hafner, T. Klein, S. Obersteiner, M. K. Reay, S. Ullah, B. N. Taylor

The paper estimates global root exudate carbon fluxes using in situ measurements and fine root biomass, finding a global flux of 15.2 PgC y-1, with no biome differences in mass-specific rates but higher total fluxes in grasslands.

bioRxiv · Feb 1, 2024 · PreprintEcology

A multivariate network analysis of ring- and diffuse-porous tree xylem vasculature segmented by convolutional neural networks

A. E. Huber, M. Haft-Javaherian, M. Berg, A. Lanba, S. Lorthois, T. L. Bauerle, N. Nishimura

This paper analyzes xylem vessel networks in six tree species using convolutional neural networks and network metrics to relate structural properties to hydraulic vulnerability and drought resistance.

bioRxiv · Jan 10, 2023 · PreprintPlant Biology

Cross-species predictive modeling reveals conserved drought responses between maize and sorghum

J. Pardo, C. M. Wai, M. Harman, A. Nguyen, K. A. Kremling, C. Romay, N. Lepak, T. L. Bauerle, E. S. Buckler, A. M. Thompson, R. VanBuren

This paper develops a predictive model to identify drought responses in sorghum and applies it to maize, finding conserved drought response genes across species.

bioRxiv · Sep 26, 2022Plant Biology