Author

L. Newediuk

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· 3 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:chicken / avian· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

C. J. Garroway· 2 shared C. Schmidt· 2 shared E. Vander Wal· 2 shared A. Keuroghlian· 1 shared A. M. Korpach· 1 shared A. Rodgers· 1 shared B. A. Biddlecombe· 1 shared B. Strickland· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersEcology

C. J. Garroway

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Life history trade-offs in glucocorticoid-mediated habitat selection

L. Newediuk, G. F. Mastromonaco, E. Vander Wal

This study examines how glucocorticoids influence habitat selection in female elk before and after calving, finding increased risk-taking as calves grow.

Movement Ecology · Apr 22, 2024Peer-reviewedEcology

Climate change, age acceleration, and the erosion of fitness in polar bears

L. Newediuk, E. S. Richardson, B. A. Biddlecombe, H. Kassim, L. Kathan, N. Lunn, L. R. Rivkin, O. E. Salama, C. Schmidt, M. J. Jones, C. J. Garroway

This study links climate change to accelerated epigenetic aging in polar bears, reduced fitness, and near-zero adaptive potential.

bioRxiv · Jan 5, 2024 · PreprintEcology

Migration distance and mating system are not associated with genetic diversity and differentiation among bats (Chiroptera)

M. J. Thorstensen, A. M. Korpach, E. de Greef, L. Newediuk, C. Schmidt, C. J. Garroway

The paper examines the relationship between migration and mating strategies and genetic diversity in bats, finding no significant correlations.

bioRxiv · Sep 28, 2023 · PreprintZoology

Solving the Sample Size Problem for Resource Selection Analysis

G. M. Street, J. R. Potts, L. Borger, J. Beasley, S. Demarais, J. M. Fryxell, P. McLoughlin, K. Monteith, C. Prokopenko, M. Ribeiro, A. Rodgers, B. Strickland, F. Van Beest, D. Bernasconi, L. Beumer, , E. Vander Wal

This paper provides mathematical expressions to determine optimal sample sizes for resource selection analyses, showing that fewer data may be sufficient for strong selection effects.

bioRxiv · Feb 22, 2021 · PreprintEcology