Author

J. L. O'Donnell

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

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

A. H. Altieri· 1 shared A. M. Correa· 1 shared B. N. Nguyen· 1 shared C. Boettinger· 1 shared D. Gravel· 1 shared D. H. Hembry· 1 shared E. A. Newman· 1 shared E. W. Shen· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

1 shared paperEcology

A. H. Altieri

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Environmental DNA survey captures patterns of fish and invertebrate diversity across a tropical seascape

B. N. Nguyen, E. W. Shen, J. Seemann, A. M. Correa, J. L. O'Donnell, A. H. Altieri, N. Knowlton, K. A. Crandall, S. P. Egan, W. O. McMillan, M. Leray

The paper uses eDNA surveys to assess fish and invertebrate diversity across a tropical Caribbean bay, finding significant community differences driven by habitat specialists and wave tolerance.

bioRxiv · Oct 8, 2019Ecology

Revealing biases in the sampling of ecological interaction networks

M. de Aguiar, E. A. Newman, M. M. Pires, J. D. Yeakel, D. H. Hembry, C. Boettinger, L. A. Burkle, D. Gravel, P. R. Guimaraes, J. L. O'Donnell, T. Poisot, M.-J. Fortin, Ecological Network Dynamics Working Group at the National Institute for Mathematical and Biological

This paper develops EcoNetGen to study sampling biases in ecological interaction networks and finds that sampling by species degree is most accurate for estimating network structure.

bioRxiv · May 22, 2018Ecology