Author

R. Kays

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· 6 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Organism:multiple species· 4 Approach:statistical model· 4 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

C. H. Fleming· 5 shared M. J. Noonan· 4 shared J. M. Calabrese· 3 shared W. F. Fagan· 3 shared A. Castellanos· 2 shared A. K. Scharf· 2 shared B. T. Hirsch· 2 shared E. P. Medici· 2 shared

Activity by Year

2020-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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5 shared papersEcology

C. H. Fleming

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

The search behavior of terrestrial mammals

M. J. Noonan, R. Martinez-Garcia, C. H. Fleming, B. Garcia De Figueiredo, A. H. Ali, N. Attias, J. L. Belant, D. E. Beyer, D. Berteaux, L. R. Bidner, R. B. Boone, S. Boutin, J. Brito, M. Brown, A. Carter, , M. Lashley

This study analyzes GPS data from 1,396 terrestrial mammals across 62 species to show how predator-prey dynamics influence movement strategies and resource search efficiency.

bioRxiv · Dec 31, 2022 · PreprintEcology

Mitigating pseudoreplication and bias in resource selection functions with autocorrelation-informed weighting

J. M. Alston, C. H. Fleming, R. Kays, J. P. Streicher, C. T. Downs, T. Ramesh, J. M. Calabrese

This paper introduces a method to improve resource selection functions by weighting animal locations based on autocorrelation, reducing bias and improving confidence intervals in ecological studies.

bioRxiv · Apr 21, 2022Ecology

MoveApps - a serverless no-code analysis platform for animal tracking data

A. Koelzsch, S. C. Davidson, D. Gauggel, C. Hahn, J. Hirt, R. Kays, I. Lang, A. K. Lohr, B. Russell, A. K. Scharf, G. Schneider, C. Vinciguerra, M. Wikelski, K. Safi

MoveApps provides an open, serverless platform for analyzing animal tracking data, enabling users to share and execute analysis workflows without coding.

bioRxiv · Feb 15, 2022Ecology

Population-level inference for home-range areas

C. H. Fleming, I. Deznabi, S. Alavi, M. C. Crofoot, B. T. Hirsch, E. P. Medici, M. J. Noonan, R. Kays, W. F. Fagan, D. Sheldon, J. M. Calabrese

This paper introduces a framework for population-level home-range analysis that accounts for temporal autocorrelation and uncertainty, applied to multiple species to quantify differences in movement patterns.

bioRxiv · Jul 5, 2021Ecology

Estimating encounter location distributions from animal tracking data

M. J. Noonan, R. Martinez-Garcia, G. H. Davis, M. C. Crofoot, R. Kays, B. T. Hirsch, E. Payne, A. Sih, D. L. Sinn, O. Spiegel, W. F. Fagan, C. H. Fleming, J. Calabrese

This paper introduces a new theoretical framework to estimate encounter location probabilities from animal tracking data and demonstrates its application using GPS data from capuchins and lizards.

Methods in Ecology and Evolution · May 14, 2021Peer-reviewedEcology

A pilot study on the home range and movement patterns of the Andean Fox Lycalopex culpaeus (Molina 1782) in Cotopaxi National Park, Ecuador

A. Castellanos, F. X. Castellanos, R. Kays, J. Brito

This study tracks an Andean fox in Cotopaxi National Park using GPS, finding home ranges of 4.9-8.1 km² and higher nocturnal movement speeds.

bioRxiv · Feb 10, 2021Animal Behavior & Cognition

A comprehensive framework for handling location error in animal tracking data

C. H. Fleming, J. Drescher-Lehman, M. J. Noonan, T. S. B. Akre, D. J. Brown, M. M. Cochrane, N. Dejid, V. DeNicola, C. S. DePerno, J. N. Dunlop, N. P. Gould, A.-L. Harrison, J. Hollins, H. Ishii, Y. Kaneko, , J. M. Calabrese

This paper introduces a framework for handling location error in animal tracking data, showing that error-model selection improves analysis accuracy across various tracking devices and species.

bioRxiv · Jun 12, 2020 · PreprintEcology