Author

Kate L. Wootton

University of CanterburyORCID 0000-0002-9033-8210Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Organism:multiple species· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron ClausetiD· 1 shared Alexander DyeriD· 1 shared Alyssa R. CirtwilliD· 1 shared Anna EklöfiD· 1 shared Caitlin WilkinsoniD· 1 shared Carsten MeyeriD· 1 shared Dominique GraveliD· 1 shared Emilio BertiiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEcology

Aaron ClausetORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Predicting missing links in food webs using stacked models and species traits

Lucy B. Van Kleunen, Laura E. Dee, Kate L. Wootton, François Massol, Aaron Clauset

The paper develops a stacked model to predict missing links in food webs using species traits and network structure, showing high accuracy on synthetic and real-world data.

Nature Communications · Feb 3, 2026Peer-reviewedEcology

MacroMove: a global database of animal movement across taxa and movement types

Caitlin Wilkinson, Emilio Berti, Alexander Dyer, Myles H. M. Menz, Carsten Meyer, Marlee A. Tucker, Kate L. Wootton, Maarten J. E. Broekman, Selwyn Hoeks, Jana Roth, Remo Ryser, Myriam R. Hirt

MacroMove compiles global animal movement data across taxa and types, providing a standardized database for ecological and evolutionary research.

bioRxiv · Dec 10, 2025 · PreprintEcology

A quantitative framework for investigating the reliability of network construction

Alyssa R. Cirtwill, Anna Eklöf, Tomas Roslin, Kate Wootton, Dominique Gravel

The paper develops a framework to quantify uncertainty in ecological network construction due to stochasticity and sampling limitations.

bioRxiv · Jul 3, 2018 · PreprintEcology