Author

G. Strona

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

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:multiple species· 1

Frequent Co-Authors

C. J. A. Bradshaw· 2 shared F. Saltre· 2 shared J. Llewelyn· 2 shared A. Greenville· 1 shared C. N. Johnson· 1 shared C. Pozas-Schacre· 1 shared C. R. Dickman· 1 shared F. Shabani· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersEcology

C. J. A. Bradshaw

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Author profile →

3 papers

Recent·Most cited

Predicting predator-prey interactions in terrestrial endotherms using random forest

J. Llewelyn, G. Strona, C. R. Dickman, A. Greenville, G. Wardle, M. S. Y. Lee, S. Doherty, F. Shabani, F. Saltre, C. J. A. Bradshaw

This study uses random forest to predict predator-prey interactions in birds and mammals using ecomorphological and phylogenetic traits, achieving up to 88% accuracy in global data and 67% in a specific community.

bioRxiv · Sep 2, 2022Ecology

Relative demographic susceptibility does not explain the extinction chronology of Sahul's megafauna

C. J. A. Bradshaw, C. N. Johnson, J. Llewelyn, V. Weisbecker, G. Strona, F. Saltre

This study uses demographic models to test if extinction chronology of Sahul's megafauna correlates with extinction susceptibility, finding no clear relationship.

bioRxiv · Oct 16, 2020Ecology

Global gut content data synthesis and phylogeny delineate reef fish trophic guilds

V. Parravicini, J. M. Casey, N. M. Schiettekatte, S. Brandl, C. Pozas-Schacre, J. Carlot, G. Edgar, N. A. Graham, M. Harmelin-Vivien, M. Kulbicki, G. Strona, R. Stuart-Smith, J. Vii

The paper introduces a quantitative framework to define trophic guilds using global gut content data and phylogenetic analysis, achieving 95% accuracy in classification.

bioRxiv · Mar 4, 2020Ecology