Author

Daniel Revillini

Universidad de CádizORCID 0000-0002-0380-4106Unclaimed 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 Assay:metagenomics· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

Christopher A. SearcyiD· 2 shared Michelle E. AfkhamiiD· 2 shared Aaron S. DavidiD· 1 shared Brianna K. AlmeidaiD· 1 shared Caitlin C. MothesiD· 1 shared Katherine T. ChartoniD· 1 shared Stephanie M. KoontziD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersEcology

Christopher A. SearcyORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintOct 14, 2025

The microbial landscape: soil microbiome properties predict plant species distributions

Daniel Revillini, Caitlin C. Mothes, Brianna K. Almeida…·Christopher A. Searcy

The paper uses machine learning to show that soil microbiome properties can predict plant species distributions, with microbial predictors being as important as abiotic factors for some species.

1 citation

plant (other)metagenomics

𝕏 PostBluesky

EcologySoil Biology and BiochemistryPeer-reviewedMay 31, 2025

50-year fire legacy regulates soil microbial carbon and nutrient cycling responses to new fire

Daniel Revillini, Christopher A. Searcy, Michelle E. Afkhami

This study shows that soil fire legacy significantly influences microbial carbon and nutrient cycling responses to new fires, highlighting the importance of considering legacy effects in ecosystem studies.

11 citations

metagenomicsexperimental assay

𝕏 PostBluesky