Author

Marco Davoli

Sapienza University of RomeORCID 0000-0001-5926-130XUnclaimed 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:benchmarking· 2 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

Alessandra D’AlessioiD· 1 shared Andrea Lauta· 1 shared Carlo RondininiiD· 1 shared Flavia StraniiD· 1 shared Mario Cipollone· 1 shared Martin JungiD· 1 shared Martina de BenedettoiD· 1 shared Michela PacificiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperEcology

Alessandra D’AlessioORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintOct 12, 2026

Assessing the potential ecological functions, ecosystem services and disservices of megaherbivore rewilding in traditional rural wood-pastures

Marco Davoli, Martina de Benedetto, Flavia Strani…·Stefano Focardi

This study evaluates the ecological and socioecological impacts of megaherbivore rewilding in traditional wood-pastures, finding context-dependent benefits and risks.

DOI 10.64898/2025.12.11.693666

statistical modelbenchmarking

𝕏 PostBluesky

EcologyConservation LettersPeer-reviewedMay 1, 2026

Improving the classification of wildlife conservation status to support nature protection in the European Union

Marco Davoli, Martin Jung, Piero Visconti…·Michela Pacifici

The paper develops a machine-learning method to estimate favorable reference ranges for species in the EU, revealing fewer species in favorable conservation status than previously reported.

DOI 10.1111/con4.70039

multiple speciesmachine learning (classical)

𝕏 PostBluesky