Author

B. Augustine

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· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:host-pathogen & immune response· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:non-human primate· 1

Frequent Co-Authors

J. A. Royle· 2 shared M. Kelly· 2 shared A. K. Fuller· 1 shared C. Satter· 1 shared C. Sutherland· 1 shared D. W. Linden· 1 shared E. Boydston· 1 shared G. Pasinelli· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersEcology

J. A. Royle

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4 papers

Recent·Most cited

Spatial Proximity Moderates Genotype Uncertainty in Genetic Tagging Studies

B. Augustine, J. Royle, D. W. Linden, A. K. Fuller

The paper introduces a statistical model that improves demographic parameter estimation from noninvasive genetic samples by integrating spatial and genetic data, reducing genotype uncertainty and increasing precision.

bioRxiv · Jan 1, 2020Ecology

Sex-specific population dynamics and demography of capercaillie (Tetrao urogallus L.) in a patchy environment

B. Augustine, M. Kery, J. Olano Marin, P. Mollet, G. Pasinelli, C. Sutherland

The paper applies an open population spatial capture-recapture model to capercaillie data, finding a declining male population and stable female population in a patchy environment.

bioRxiv · Mar 14, 2019Ecology

Spatial Capture-Recapture for Categorically Marked Populations with An Application to Genetic Capture-Recapture

B. Augustine, J. A. Royle, S. Murphy, R. Chandler, J. Cox, M. Kelly

The paper introduces a categorical spatial partial identity model (SPIM) to improve density estimation in populations with uncertain individual identity, showing it performs better than existing methods in high uncertainty scenarios.

bioRxiv · Feb 15, 2018Ecology

Spatial capture-recapture with partial identity: an application to camera traps

B. Augustine, J. A. Royle, M. Kelly, C. Satter, R. Alonso, E. Boydston, K. Crooks

The paper introduces SPIM, a method to improve density analysis by incorporating partial identity individuals from camera traps, showing improved inference in ocelot and bobcat datasets.

bioRxiv · Jun 3, 2016Ecology