Author

G. S. Santos

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· 3 Organism:mouse· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

R. Salguero-Gomez· 4 shared M. Kajin· 3 shared A. T. C. Dias· 2 shared S. J. L. Gascoigne· 2 shared A. C. Vinton· 1 shared A. Compagnoni· 1 shared C. Bernard· 1 shared E. Kusch· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersEcology

R. Salguero-Gomez

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Author profile →

4 papers

Recent·Most cited

Structured demographic buffering: A framework to explore the environment drivers and demographic mechanisms underlying demographic buffering

S. J. L. Gascoigne, M. Kajin, S. D. Tuljapurkar, G. S. Santos, A. Compagnoni, U. K. Steiner, A. C. Vinton, H. Jaggi, I. Sepil, R. Salguero-Gomez

The paper introduces a framework to quantify the effects of environmental factors, population structure, and demographic rates on demographic buffering in plant species.

bioRxiv · Jul 20, 2023 · PreprintEcology

A unified framework to identify demographic buffering in natural populations

G. S. Santos, S. J. L. Gascoigne, A. T. C. Dias, M. Kajin, R. Salguero-Gomez

This paper introduces a three-step framework to identify and quantify demographic buffering across species, applying it to mammals to explore evolutionary forces.

bioRxiv · Jul 3, 2023 · PreprintEcology

MOSAIC: A Unified Trait Database to Complement Structured Population Models

C. Bernard, G. S. Santos, J. Deere, R. Rodriguez-Caro, P. Capdevila, E. Kusch, S. Gascoigne, J. Jackson, R. Salguero-Gomez

MOSAIC is an open-access trait database that integrates data from COMADRE, COMPADRE, and PADRINO to improve interoperability between trait databases and structured population models.

bioRxiv · Mar 9, 2022 · PreprintEcology

To buffer or to be labile? A framework to disentangle demographic patterns and evolutionary processes

G. S. Santos, R. Salguero-Gomez, A. T. C. Dias, M. Kajin

The paper develops a framework to assess demographic buffering and lability by analyzing vital rate variation in mammals, revealing that lower temporal variation does not always indicate strong stabilizing selection.

bioRxiv · Apr 12, 2021 · PreprintEcology