Author

C. M. Tucker

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· 2 Zoology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:Drosophila· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. O. Mooers· 2 shared W. D. Pearse· 2 shared A. G. Rolhauser· 1 shared A. J. Barber· 1 shared C. L. Gray· 1 shared D. M. Waller· 1 shared D. N. Frances· 1 shared D. P. Faith· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersZoology

A. O. Mooers

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

EDGE2: advancing the prioritisation of threatened evolutionary history for conservation action

R. Gumbs, C. L. Gray, M. Bohm, I. J. Burfield, O. R. Couchman, D. P. Faith, F. Forest, M. Hoffmann, N. J. B. Isaac, W. Jetz, G. M. Mace, A. O. Mooers, K. Safi, O. Scott, M. Steel, , J. Rosindell

The paper introduces EDGE2, an updated metric for prioritizing species with threatened evolutionary history, showing it prioritizes species with fewer close relatives more than the original EDGE method.

bioRxiv · May 17, 2022 · PreprintZoology

Complex trait-environment relationships underlie the structure of Wisconsin forest plant communities

A. G. Rolhauser, D. M. Waller, C. M. Tucker

This study compares generalized linear mixed models (GLMM) and community-weighted mean regressions (CWMr) to identify trait-environment relationships in Wisconsin forest plant communities, finding GLMM better captures complex interactions.

bioRxiv · Nov 17, 2020 · PreprintEcology

Trait-environment relationships are predictive, but not general across species

D. N. Frances, A. J. Barber, C. M. Tucker

The paper evaluates trait-environment relationships in four daphniid species under controlled conditions, finding strong predictability within species but lack of generality across species.

bioRxiv · Jan 13, 2020 · PreprintEcology

The Effect of Phylogenetic Uncertainty and Imputation on EDGE Scores

K. B. Weedop, A. O. Mooers, C. M. Tucker, W. D. Pearse

This study assesses how phylogenetic uncertainty and imputation affect EDGE scores by simulating missing species and evaluating score robustness and accuracy.

bioRxiv · Jul 24, 2018Zoology