Author

C. Weiss-Lehman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Ecology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:host-pathogen & immune response· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1

Frequent Co-Authors

J. W. Benning· 2 shared R. A. Hufbauer· 2 shared C. Chu· 1 shared C. H. Bowler· 1 shared C. M. Werner· 1 shared E. I. Clark· 1 shared E. Ladouceur· 1 shared g. Barabas· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

J. W. Benning

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Environmental gradients mediate dispersal evolution during biological invasions

J. W. Benning, E. I. Clark, R. A. Hufbauer, C. Weiss-Lehman

The paper models how environmental gradients affect dispersal evolution during biological invasions, finding that gradients can reduce dispersal and increase invasion predictability.

bioRxiv · Dec 8, 2023Ecology

Increasing temporal variance leads to stable species range limits

J. W. Benning, R. A. Hufbauer, C. Weiss-Lehman

The paper shows that temporal environmental variation affects species range limits by altering population expansion or extinction based on temporal autocorrelation and spatial gradients.

bioRxiv · Aug 9, 2021Evolutionary Biology

Disentangling key species interactions in diverse and heterogeneous communities: A Bayesian sparse modeling approach

C. Weiss-Lehman, C. M. Werner, C. H. Bowler, L. M. Hallett, M. M. Mayfield, O. Godoy, L. Aoyama, g. Barabas, C. Chu, E. Ladouceur, L. Larios, L. G. Shoemaker

This paper introduces a Bayesian sparse modeling approach to identify key species interactions in diverse communities by reducing parameter complexity and distinguishing environmental effects from competitive interactions.

bioRxiv · Jul 23, 2021Ecology